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Keywords = SC-FDE

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14 pages, 560 KiB  
Article
A Design of NLOS Communication Scheme Based on SC-FDE with Cyclic Suffix for UAV Payload Communication
by Peng Wang, Xin Xiang, Rui Wang, Pengyu Dong and Qiao Li
Drones 2024, 8(11), 648; https://doi.org/10.3390/drones8110648 - 6 Nov 2024
Viewed by 603
Abstract
Non-line-of-sight (NLOS) communication with severe loss always leads to performance degradation in unmanned aerial vehicle (UAV) payload communication. In this paper, a UAV NLOS communication scheme based on single-carrier frequency domain equalization with cyclic prefix and cyclic suffix (CP/CS-SC-FDE) is designed. First, the [...] Read more.
Non-line-of-sight (NLOS) communication with severe loss always leads to performance degradation in unmanned aerial vehicle (UAV) payload communication. In this paper, a UAV NLOS communication scheme based on single-carrier frequency domain equalization with cyclic prefix and cyclic suffix (CP/CS-SC-FDE) is designed. First, the reasons behind the generation of later intersymbol interference (LISI) in UAV NLOS communication are investigated. Then, the frame structure of conventional single-carrier frequency domain equalization with cyclic prefix (CP-SC-FDE) is improved, and the UAV NLOS communication frame structure based on cyclic prefix (CP) and cyclic suffix (CS) is designed. Furthermore, a channel estimation algorithm applicable to this scheme is proposed. The numerical results show that this UAV communication scheme can eliminate intersymbol interference (ISI) in NLOS communication. Compared with the conventional CP-SC-FDE system, this scheme can achieve excellent performance in the Rayleigh channel and other standard NLOS channels. In the CP/CS-SC-FDE system, the BER result is similar to that under ideal synchronization. Full article
(This article belongs to the Section Drone Communications)
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<p>The transceiver structure of the CP-SC-FDE.</p>
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<p>The block of the CP-SC-FDE and CP/CS-SC-FDE.</p>
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<p>FFT region in LOS and NLOS channel based on CP-SC-FDE.</p>
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<p>FFT region in LOS and NLOS channel based on CP/CS-SC-FDE.</p>
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<p>The CIR of three channels of the first simulation.</p>
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<p>The sliding correlation value for time synchronization.</p>
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<p>The channel estimation output in CP-SC-FDE.</p>
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<p>The channel estimation output in CP/CS-SC-FDE.</p>
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<p>The BER curve of CP/CS-SC-FDE compared with CP-SC-FDE in Rayleigh fading channel.</p>
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<p>The BER curve of CP/CS-SC-FDE compared with CP-SC-FDE in COST207-BU channel and TDL-C channel.</p>
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14 pages, 3098 KiB  
Article
An Assessment of Receiver Algorithms for Distributed Massive MIMO Systems: Investigating Design Solutions and Performance
by Ali Gashtasbi, Mário Marques da Silva and Rui Dinis
Electronics 2024, 13(8), 1560; https://doi.org/10.3390/electronics13081560 - 19 Apr 2024
Viewed by 1213
Abstract
This study investigates receiver design solutions for distributed Massive Multiple Input Multiple Output (D-m MIMO) systems, taking into account parameters such as number of access points as well as concerns related to channel estimates that use single-carrier frequency-domain equalization (SC-FDE). A significant contribution [...] Read more.
This study investigates receiver design solutions for distributed Massive Multiple Input Multiple Output (D-m MIMO) systems, taking into account parameters such as number of access points as well as concerns related to channel estimates that use single-carrier frequency-domain equalization (SC-FDE). A significant contribution of this research is the integration of Low-Density Parity-Check (LDPC) codes to simplify coding complexity and enhance communication efficiency. The research examines different receiver designs, such as spatial antenna correlation and sophisticated channel estimation methods. The authors propose integrating LDPC codes into the receiver architecture to simplify computations and enhance error correction and decoding. Moreover, the paper examines performance evaluation measures and approaches, highlighting the trade-offs among complexity, spectral efficiency, and error performance. The comparative analysis indicates the benefits, in terms of performance, of incorporating LDPC codes and improving system throughput and dependability. We examine four distinct receiver algorithms: zero-forcing (ZF), minimum mean square error (MMSE), maximum ratio combining (MRC), and equal gain combining (EGC). The study shows that MRC and EGC receivers work well in D-m MIMO because they make the receiver system less computationally demanding. Full article
(This article belongs to the Special Issue Smart Communication and Networking in the 6G Era)
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<p>The basic principle of the D-m MIMO technology.</p>
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<p>Block diagram of D-m MIMO system with SC-FDE signals.</p>
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<p>Block diagram of receiver design for D-m MIMO system.</p>
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<p>BER result for comparing 2 × 4 MIMO, 4 × 8 MIMO, and 8 × 16 MIMO systems.</p>
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<p>BER result for comparing AP effects for the 8 × 64 MIMO configuration.</p>
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<p>BER results for the impact of the number of APs on the system, for the 8 × 64 MIMO configuration.</p>
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<p>BER results for the impact of the number of users on the system.</p>
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<p>BER results for the effect of the LDPC code on the 16 × 64 MIMO configuration with 16 APs.</p>
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<p>BER results for the effect of channel estimates for the 16 × 64 MIMO configuration.</p>
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12 pages, 2333 KiB  
Article
On the Performance of Partial LIS for 6G Systems
by Mário Marques da Silva, Ali Gashtasbi, Rui Dinis, Gelson Pembele, Américo Correia and João Guerreiro
Electronics 2024, 13(6), 1035; https://doi.org/10.3390/electronics13061035 - 10 Mar 2024
Cited by 1 | Viewed by 1349
Abstract
One of the key technologies of 6G communications relies on large intelligent surfaces (LIS), which can be viewed as a near-field beamformer that is supportive of extremely high symbol rates and enables a high level of interference avoidance. This article focuses on LIS [...] Read more.
One of the key technologies of 6G communications relies on large intelligent surfaces (LIS), which can be viewed as a near-field beamformer that is supportive of extremely high symbol rates and enables a high level of interference avoidance. This article focuses on LIS systems, analysing the impact of the use of a whole LIS system or a subset of an antenna array. We analyse an LIS system associated with a single carrier with frequency domain equalization (SC-FDE), and with different receiver types of varying complexities. Because it is a function of the number of antennas, the computational complexity decreases when antenna elements that are closer to the user equipment are used instead of the whole LIS. Moreover, with a partial LIS, a reduction of energy consumption is achieved, and mitigation of the interference levels is obtained, allowing a performance very close to that obtained with the whole LIS system. Full article
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<p>Block diagram of an LIS System.</p>
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<p>Block diagram of a partial LIS.</p>
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<p>Scenario considered in the simulations with four panels.</p>
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<p>Performance results of the 4 × 400 LIS system, with 2 users, without LDPC codes, and with and without the partial LIS.</p>
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<p>Performance results of the 4 × 225 LIS system, with 2 users, without LDPC codes, and with and without the partial LIS.</p>
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<p>Performance results of several LIS configurations, with 2 users, without LDPC codes, with the partial LIS—one panel.</p>
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<p>Performance results of the 4 × 400 LIS system, with 16 users, without LDPC codes, with and without the partial LIS.</p>
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<p>Performance results of the 4 × 361 LIS system, with several number of users, with the partial LIS, and without LDPC codes.</p>
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<p>Performance results of the 4 × 225 LIS system, with 2 users, with and without LDPC codes, and with the partial LIS.</p>
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17 pages, 7788 KiB  
Article
An Improved Orthogonal Matching Pursuit Algorithm for CS-Based Channel Estimation
by Lu Si, Weizhang Xu, Xinle Yu and Hang Yin
Sensors 2023, 23(23), 9509; https://doi.org/10.3390/s23239509 - 29 Nov 2023
Cited by 3 | Viewed by 1357
Abstract
Wireless broadband transmission channels usually have time-domain-sparse properties, and the reconstruction of these channels using a greedy search-based orthogonal matching pursuit (OMP) algorithm can effectively improve channel estimation performance while decreasing the length of the reference signal. In this research, the improved OMP [...] Read more.
Wireless broadband transmission channels usually have time-domain-sparse properties, and the reconstruction of these channels using a greedy search-based orthogonal matching pursuit (OMP) algorithm can effectively improve channel estimation performance while decreasing the length of the reference signal. In this research, the improved OMP and SOMP algorithms for compressed-sensing (CS)-based channel estimation are proposed for single-carrier frequency domain equalization (SC-FDE) systems, which, in comparison with conventional algorithms, calculate the path gain after obtaining the path delay and updating the observation matrices. The reliability of the communication system is further enhanced because the channel path gain is calculated using longer observation vectors, which lowers the Cramér–Rao lower bound (CRLB) and results in better channel estimation performance. The developed method can also be applied to time-domain-synchronous OFDM (TDS-OFDM) systems, and it is applicable to the improvement of other matching pursuit algorithms. Full article
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<p>SC-FDE frame structure based on the training sequence.</p>
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<p>Block transmission and multipath interference. (<b>a</b>) Block transmission of transmitter signals; (<b>b</b>) multipath interference.</p>
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<p>The process of the improved OMP algorithm.</p>
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<p>MSE corresponding to different observation numbers (K = 4, SNR = 15 dB).</p>
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<p>MSE corresponding to different observation numbers (K = 6, SNR = 15 dB).</p>
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<p>MSE with different SNR values (K = 4, M = 24).</p>
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<p>BER with different SNR values (K = 4, M = 24).</p>
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<p>MSE with different SNR values (K = 6, M = 24).</p>
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<p>BER with different SNR values (K = 6, M = 24).</p>
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15 pages, 12572 KiB  
Article
A Block-Based Concatenated LDPC-RS Code for UAV-to-Ground SC-FDE Communication Systems
by Pengyu Dong, Xin Xiang, Yuan Liang and Peng Wang
Electronics 2023, 12(14), 3143; https://doi.org/10.3390/electronics12143143 - 20 Jul 2023
Cited by 2 | Viewed by 1340
Abstract
To enhance the reliability of UAV-to-Ground data transmission in SC-FDE, this study proposes a combined MMSE equalization and LDPC-RS concatenated code approach, utilizing source redundancy to mitigate errors in low-elevation G2A communication. The proposed coding scheme combines a binary LDPC code as the [...] Read more.
To enhance the reliability of UAV-to-Ground data transmission in SC-FDE, this study proposes a combined MMSE equalization and LDPC-RS concatenated code approach, utilizing source redundancy to mitigate errors in low-elevation G2A communication. The proposed coding scheme combines a binary LDPC code as the outer code and an improved RS code as the inner code, resulting in improved resistance to burst and random errors. To address the coding aspect, this paper designs a coding table using RS coding as the underlying logic, enabling efficient coding. For decoding, a decoding scheme based on the minimum Euclidean distance criterion is devised, enabling high-performance decoding. Simulation results demonstrate that the proposed LDPC-RS concatenated coding scheme significantly enhances the performance of the communication system, thereby offering considerable potential for application in UAV video transmission systems. Full article
(This article belongs to the Section Microwave and Wireless Communications)
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<p>Typical application scenarios of UAV systems.</p>
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<p>The system model of SC-FDE.</p>
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<p>Concatenated code generation and receiving schematic diagram.</p>
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<p>Iterative decoding algorithm process based on BM (Berlekamp-Massey).</p>
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<p>Coding scheme based on RS-LDPC concatenated code.</p>
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<p>Error performance curves for error experiment.</p>
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<p>BER curves for Gaussian white noise channel.</p>
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<p>Comparison of error correction performance.</p>
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<p>The transceiver system structure.</p>
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<p>BER performance comparison under different Rice factors.</p>
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<p>BER curve under imperfect equalization and coding.</p>
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15 pages, 3884 KiB  
Article
On the Performance of LDPC-Coded Large Intelligent Antenna System
by Ali Gashtasbi, Mário Marques da Silva, Rui Dinis and João Guerreiro
Appl. Sci. 2023, 13(8), 4738; https://doi.org/10.3390/app13084738 - 10 Apr 2023
Cited by 3 | Viewed by 1673
Abstract
This article studies Large Intelligent Systems (LIS) along with Single Carrier with Frequency Domain Equalization (SC-FDE), utilizing Low-Density Parity-Check (LDPC). Four different receivers are studied in the scenarios described above, namely Equal Gain Combining (EGC), Maximum Ratio Combining (MRC), Zero Forcing (ZF), and [...] Read more.
This article studies Large Intelligent Systems (LIS) along with Single Carrier with Frequency Domain Equalization (SC-FDE), utilizing Low-Density Parity-Check (LDPC). Four different receivers are studied in the scenarios described above, namely Equal Gain Combining (EGC), Maximum Ratio Combining (MRC), Zero Forcing (ZF), and Minimum Mean Squared Error (MMSE). The results of this article show that the use of LDPC codes leads to an improvement of performance by about 2 dB for a 4X25 LIS system and by 3 dB for a 4X225 LIS system, as compared to similar systems without LDPC codes. Moreover, for all simulations, the MMSE receiver achieves the best overall performance, while EGC performs the worst. Full article
(This article belongs to the Section Electrical, Electronics and Communications Engineering)
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<p>Block diagram of an LIS System.</p>
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<p>Block diagram using SC-FDE receiver.</p>
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<p>Block diagram of IB-DFE receivers.</p>
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<p>Results for 4X25 LIS System, with 5 users, without LDPC codes, with and without equalization.</p>
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<p>Results for 4X225 LIS System, with 5 users, without LDPC codes, with and without equalization.</p>
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<p>Results for 4X25 versus 4X225 LIS System, with 2 users, without LDPC codes.</p>
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<p>Results for 4X25 LIS System, with 2, 5, and 10 users, without LDPC codes.</p>
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<p>Results for 4X25 LIS System, with 5 users, with and without LDPC codes.</p>
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<p>Results for 4X225 LIS System, with 5 users, with and without LDPC codes.</p>
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<p>Results for 4X225 LIS System, with 5 users, without Selective LIS versus with Selective LIS (20 versus 100 antennas).</p>
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15 pages, 346 KiB  
Article
Estimation of IQI for AF Cooperative Single-Carrier Frequency Domain Equalization Systems Using Channel Decoder Feedback
by Mohamed Marey and Hala Mostafa
Electronics 2023, 12(4), 863; https://doi.org/10.3390/electronics12040863 - 8 Feb 2023
Viewed by 1476
Abstract
The process of amplify-and-forward (AF) relaying is essential to the improvement of both current and future wireless communication standards. Nevertheless, significant performance loss may be posed by in-phase and quadrature imbalance (IQI) caused by defects in radio frequency components. Prior studies into this [...] Read more.
The process of amplify-and-forward (AF) relaying is essential to the improvement of both current and future wireless communication standards. Nevertheless, significant performance loss may be posed by in-phase and quadrature imbalance (IQI) caused by defects in radio frequency components. Prior studies into this research problem were restricted to uncoded broadcasts, even though error-correcting codes are frequently used in real applications. To this purpose, we develop a novel approach applicable to the destination terminal for estimating and compensating for IQI that occurs at the source, relay, and destination terminals. The proposed approach is explored in the context of coded emissions of AF single-carrier frequency domain equalization (SC-FDE) systems. In contrast to other methods for mitigating this radio frequency deflection at each node, the proposed system estimates and compensates for all IQI parameters and channel impulse responses simultaneously. With the use of an iterative expectation–maximization (EM) process, a maximum-likelihood (ML) solution to the problem is computed. At each round, the soft information supplied by the channel decoder is employed to create the a posteriori expectations of the sent data symbols, which are then fed into the estimation process as if they were training symbols. In addition, we address how to use the estimated parameters to perform the task of data detection. The offered predictor and detector exchange soft information in a sequential process, boosting the overall system effectiveness. The simulation results show that the proposed method is not only practicable but superior to the established methods. Full article
(This article belongs to the Special Issue New Trends and Methods in Communication Systems)
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<p>The principal structure of <span class="html-italic">S</span>, <span class="html-italic">R</span>, and <span class="html-italic">D</span> terminals. The solid arrows indicate broadcasts during the first pass and the dashed arrow describes broadcasts during the second one.</p>
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<p>The block diagram of the suggested approach at the destination.</p>
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<p>BER of the proposed approach.</p>
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<p>Comparative analysis of the BER performance of several systems.</p>
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<p>BER performance of the proposed approach at different modulation formats.</p>
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<p>BER performance of the proposed approach at different codes.</p>
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<p>The proposed design’s performance with and without AF relaying communications.</p>
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<p>BER performance of the suggested strategy when there are multiple antennas at the destination, SNR = 4 dB.</p>
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13 pages, 1850 KiB  
Article
An Estimated δ-Based Iterative Block Decision Feedback Equalization in SC-FDE System
by Yidong Liu, Xihong Chen, Dizhe Yuan and Denghua Hu
Electronics 2022, 11(20), 3397; https://doi.org/10.3390/electronics11203397 - 20 Oct 2022
Viewed by 1546
Abstract
We provide a novel nonlinear frequency domain equalization algorithm for the frequency domain equalization of an SC-FDE system by improving the classical iterative block decision feedback equalization (IBDFE) algorithm and applying δ estimation to the improved algorithm. The improvement of the IBDFE algorithm [...] Read more.
We provide a novel nonlinear frequency domain equalization algorithm for the frequency domain equalization of an SC-FDE system by improving the classical iterative block decision feedback equalization (IBDFE) algorithm and applying δ estimation to the improved algorithm. The improvement of the IBDFE algorithm is carried out by replacing the ZF equalization in the feedback branch with the MMSE equalization and eliminating the iteration of the correlation factor, thus reducing the noise error and the computational complexity of the original algorithm. δ estimation can estimate residual inter-symbol interference in the signal after MMSE equalization and reject it, thus further improving the equalization accuracy. The simulation results show that the performance of the novel algorithm is better than that of the IBDFE algorithm with similar complexity, or the complexity of the novel algorithm is lower than that of the IBDFE algorithm with similar performance. Full article
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<p>SC-FDE system principle structure diagram.</p>
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<p>UW-based signal frame structure.</p>
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<p>Schematic diagram of IBDFE. (<b>a</b>) Feedforward branch. (<b>b</b>) Feedback branch.</p>
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<p>Feedback branch of MMSE-IBDFE.</p>
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<p>Schematic diagram of E-IBDFE.</p>
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<p>Comparison of BER of E−IBDFE and IBDFE in EVA channel.</p>
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<p>Comparison of BER of E−IBDFE in AWGN and Middleton−A noise environments.</p>
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<p>Comparison of BER of 4 equalization algorithms in EVA channel.</p>
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12 pages, 5644 KiB  
Article
On the Performance of LDPC-Coded MIMO Schemes for Underwater Communications Using 5G-like Processing
by Mário Marques da Silva, Rui Dinis, José Aleixo and Luís M. L. Oliveira
Appl. Sci. 2022, 12(11), 5549; https://doi.org/10.3390/app12115549 - 30 May 2022
Cited by 2 | Viewed by 1511
Abstract
This article studies the underwater acoustic (UWA) communications associated with multiple input–multiple output (MIMO), single carrier with frequency-domain equalization (SC-FDE), and with low-density parity-check (LDPC) codes. Low-complexity receivers such as equal gain combining (EGC), maximum ratio combining (MRC), and iterative block—decision feedback equalization [...] Read more.
This article studies the underwater acoustic (UWA) communications associated with multiple input–multiple output (MIMO), single carrier with frequency-domain equalization (SC-FDE), and with low-density parity-check (LDPC) codes. Low-complexity receivers such as equal gain combining (EGC), maximum ratio combining (MRC), and iterative block—decision feedback equalization (IB-DFE) are studied in the above-described scenarios. Furthermore, due to the low carrier frequencies utilized in UWA communications, the performance of the proposed MIMO scenarios is studied at different levels of channel correlation between antennas. This article shows that the combined schemes tend to achieve good performances while presenting low complexity, even in scenarios with channel correlation between antennas. Full article
(This article belongs to the Special Issue Transmission Techniques for 5G and Beyond, Volume Ⅱ)
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<p>Block diagram of an m-MIMO system associated with SC-FDE signals.</p>
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<p>The Markov chain, binary state model [<a href="#B13-applsci-12-05549" class="html-bibr">13</a>].</p>
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<p>Results for 4 × 32 MIMO (with and without impulsive noise), without LDPC codes, with ideal channel estimation and without channel correlation between antennas.</p>
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<p>Results for 4 × 32 MIMO, with and without LDPC codes, with impulsive noise, with ideal channel estimation and without channel correlation between antennas.</p>
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<p>Results for 4 × 32 MIMO, with channel estimation, with impulsive noise, with LDPC codes, and without channel correlation versus with correlation 0.3 between antenna elements.</p>
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<p>Results for 4 × 32 MIMO, with and without LDPC codes, with impulsive noise, with channel estimation, and with channel correlation 0.3 between antenna elements.</p>
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<p>Results for 4 × 32 MIMO, with channel estimation, impulsive noise, LDPC codes, and channel correlation 0.3 versus 0.5 and 0.7 between antenna elements.</p>
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<p>Results for 4 × 32 MIMO, with and without LDPC codes, impulsive noise, channel estimation, and channel correlation 0.5 between antenna elements.</p>
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<p>Results for 4 × 32 MIMO versus 4 × 256 MIMO, LDPC codes, impulsive noise, channel estimation, and channel correlation 0.3 between antenna elements.</p>
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13 pages, 4806 KiB  
Article
Prefiltered Single-Carrier Frequency-Domain Equalization for Binary CPM over Shallow Water Acoustic Channel
by Ruigang Han, Ning Jia, Zhongyuan Guo, Jianchun Huang, Dong Xiao and Shengming Guo
Sensors 2022, 22(10), 3821; https://doi.org/10.3390/s22103821 - 18 May 2022
Cited by 1 | Viewed by 1778
Abstract
The continuous phase modulation (CPM) technique is an excellent solution for underwater acoustic (UWA) channels with limited bandwidth and high propagation attenuation. However, the severe intersymbol interference is a big problem for the algorithm applying in shallow water. To solve this problem, an [...] Read more.
The continuous phase modulation (CPM) technique is an excellent solution for underwater acoustic (UWA) channels with limited bandwidth and high propagation attenuation. However, the severe intersymbol interference is a big problem for the algorithm applying in shallow water. To solve this problem, an algorithm for prefiltered single-carrier frequency-domain equalization (PF-SCFDE) is presented in this paper. The regular whitening filter is replaced by a prefilter in the proposed algorithm. The output information sequence of this prefilter contains the forward information. To improve the performance, the output of the equalizer, combined with the forward information, is used to make the maximum likelihood estimation. The simulation results with minimum-shift keying and Gaussian-filtered minimum-shift keying signals over shallow water acoustic channels with low root mean square delay spread demonstrate that PF-SCFDE outperformed the traditional single-carrier frequency-domain equalization (SCFDE) by approximately 1 dB under a bit error rate (BER) of 10−4. A shallow sea trial has demonstrated the effectiveness of PF-SCFDE; PF-SCFDE had a reduction in BER of 18.35% as compared to the traditional SCFDE. Full article
(This article belongs to the Special Issue Underwater Wireless Communications)
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<p>Block diagram of the CPM with the PF-SCFDE UWA communication system.</p>
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<p>Complete frame structure.</p>
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<p>CPM receiver with PF-SCFDE.</p>
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<p>BER cumulative distribution function for MSK.</p>
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<p>BER cumulative distribution function for GMSK.</p>
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<p>Measured channel (ChB) for simulation.</p>
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<p>BER for ChA.</p>
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<p>BER for ChB.</p>
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<p>Sea trial program.</p>
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<p>Measured sound velocity.</p>
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<p>Measured channel in a certain period.</p>
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11 pages, 7486 KiB  
Article
On the Performance of LDPC-Coded Massive MIMO Schemes with Power-Ordered NOMA Techniques
by Mário Marques da Silva, Rui Dinis and Gelson Martins
Appl. Sci. 2021, 11(18), 8684; https://doi.org/10.3390/app11188684 - 17 Sep 2021
Cited by 11 | Viewed by 2110
Abstract
This article studies the power-ordered Non-Orthogonal Multiple Access (NOMA) techniques associated with Low-Density Parity-Check (LDPC) codes, adopted for use in the fifth generation of cellular communications (5G). Both conventional and cooperative NOMA are studied, associated with Single Carrier with Frequency Domain Equalization (SC-FDE) [...] Read more.
This article studies the power-ordered Non-Orthogonal Multiple Access (NOMA) techniques associated with Low-Density Parity-Check (LDPC) codes, adopted for use in the fifth generation of cellular communications (5G). Both conventional and cooperative NOMA are studied, associated with Single Carrier with Frequency Domain Equalization (SC-FDE) and massive Multiple-Input Multiple-Output (MIMO). Billions of Internet of Things (IoT) devices are aimed to be incorporated by the Fourth Industrial Revolution, requiring more efficient use of the spectrum. NOMA techniques have the potential to support that goal and represent strong candidates for incorporation into future releases of 5G. This article shows that combined schemes associated with both conventional and cooperative LDPC-coded NOMA achieve good performance while keeping the computational complexity at an acceptable level. Full article
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<p>The three groups of 5G use cases.</p>
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<p>Block diagram of m-MIMO system with SC-FDE signals.</p>
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<p>Conventional NOMA and its detection using SIC.</p>
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<p>Results for 2 NOMA users with powers [0.5, 1], with 8 × 64 MIMO (with and without LDPC codes).</p>
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<p>Results for 3 NOMA users with powers [1, 0.5, 2], with 8 × 64 MIMO (with and without LDPC codes).</p>
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<p>Results for 4 NOMA users with powers [1, 0.5, 2, 4], with 8 × 64 MIMO (with and without LDPC codes).</p>
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<p>Results for 3 and 4 NOMA users, with 8 × 64 MIMO, with LDPC codes.</p>
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<p>Results for 3 NOMA users with powers [1, 0.5, 2] with 8 × 64 versus 8 × 256 MIMO, with LDPC codes.</p>
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16 pages, 3404 KiB  
Article
SC-FDE Layer for Sensor Networks in Remote Areas Using NVIS Communications
by Tomas Gonzalez, Joaquim Porte, Jordi Male, Joan Navarro, Josep M. Maso, Agustín Zaballos, Joan L. Pijoan and David Badia
Electronics 2021, 10(14), 1636; https://doi.org/10.3390/electronics10141636 - 9 Jul 2021
Cited by 3 | Viewed by 2452
Abstract
Despite high costs and lengthy deployments, satellite communications have traditionally been used to provide coverage in remote areas. However, given the fact that there is no radio infrastructure available in these areas, Near Vertical Incidence Skywave (NVIS) technology has positioned itself as an [...] Read more.
Despite high costs and lengthy deployments, satellite communications have traditionally been used to provide coverage in remote areas. However, given the fact that there is no radio infrastructure available in these areas, Near Vertical Incidence Skywave (NVIS) technology has positioned itself as an attractive alternative to communicate with low-power nodes in remote areas. This type of communication works in the HF frequency range complying with STANAG and MIL-STD standards, which define a physical layer for scenarios that differ from NVIS and low-power communication. The purpose of this paper was to present the definition of a new communication physical layer based on single-carrier frequency-domain equalization (SC-FDE) based on these standards but adapted to the ionospheric communication channel. This physical layer was compared to an OFDM-based layer from a previous study. The experiments performed show that this new approach achieves better results than OFDM in terms of a higher signal quality with a higher specific BER probability. Finally, this layer was also used in the theoretical design of an NVIS gateway to link sensor network devices spanning large-scale remote areas in a secure manner in the context of ubiquitous sensor networks (USN). Full article
(This article belongs to the Special Issue Ubiquitous Sensor Networks)
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<p>OFDM and SC-FDE schemes. Note the change of IFFT position between OFDM and SC-FDE.</p>
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<p>Clipping technique. The red line shows the original signal, and the blue line shows the clipped signal due to the threshold drawn in green [<a href="#B42-electronics-10-01636" class="html-bibr">42</a>].</p>
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<p>System model deployment.</p>
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<p>Near-vertical incidence skywave (NVIS) transmission scheme (transmitter on the left and receiver on the right).</p>
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<p>NVIS link between LaSalle Campus, BCN and Cambrils, Tarragona. The highest peak is located at 573 m above sea level.</p>
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<p>CDF plot of SC-FDE modulation with 6 W, 12 W, and 25 W of peak power.</p>
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<p>BER vs. EbNo comparison between FSK, QAM, OFDM, and SC-FDE.</p>
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<p>6 W SC-FDE CR sweep CDF.</p>
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<p>12W SC-FDE CR sweep CDF.</p>
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<p>25 W SC-FDE CR sweep CDF.</p>
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15 pages, 4274 KiB  
Article
Power-Ordered NOMA with Massive MIMO for 5G Systems
by Mário Marques da Silva and Rui Dinis
Appl. Sci. 2021, 11(8), 3541; https://doi.org/10.3390/app11083541 - 15 Apr 2021
Cited by 15 | Viewed by 2830
Abstract
The aim of this article is to study the conventional and cooperative power-order Non-Orthogonal Multiple Access (NOMA) using the Single Carrier with Frequency Domain Equalization (SC-FDE) block transmission technique, associated with massive Multiple-Input Multiple-Output (MIMO), evidencing its added value in terms of spectral [...] Read more.
The aim of this article is to study the conventional and cooperative power-order Non-Orthogonal Multiple Access (NOMA) using the Single Carrier with Frequency Domain Equalization (SC-FDE) block transmission technique, associated with massive Multiple-Input Multiple-Output (MIMO), evidencing its added value in terms of spectral efficiency of such combined scheme. The new services provided by Fifth Generation of Cellular Communications (5G) are supported by new techniques, such as millimeter waves (mm-wave), alongside the conventional centimeter waves and by massive MIMO (m-MIMO) technology. NOMA is expected to be incorporated in future releases of 5G, as it tends to achieve a capacity gain, highly required for the massive number of Internet of things (IoT) devices, namely to support an efficient reuse of limited spectrum. This article shows that the combination of conventional and cooperative NOMA with m-MIMO and SC-FDE, tends to achieve capacity gains, while the performance only suffers a moderate degradation, being an acceptable alternative for future evolutions of 5G. Moreover, it is shown that Cooperative NOMA tends to outperform Conventional NOMA. Moreover, this article shows that the Maximum Ratio Combiner (MRC) receiver is very well fitted to be combined with NOMA and m-MIMO, as it achieves a good performance while reducing the receiver complexity. Full article
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<p>Groups of use cases of 5G that support Network Slicing.</p>
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<p>Block diagram of m-MIMO system with SC-FDE signals.</p>
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<p>Illustration of NOMA and Cooperative NOMA.</p>
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<p>Block Diagram of Conventional NOMA.</p>
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<p>Block Diagram of Cooperative NOMA.</p>
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<p>Results for 2 NOMA users with powers [1 0.5], with 4 × 32 MIMO.</p>
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<p>Results for 2 NOMA users with powers [0.5 1], with 4 × 32 MIMO.</p>
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<p>Results for 4 NOMA users with powers [1 0.5 2 4], with 4 × 32 MIMO.</p>
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<p>Results for 5 NOMA users with powers [2 1 0.5 4 8], with 4 × 32 MIMO.</p>
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<p>Results for 5 NOMA users with powers [2 1 0.5 4 8], with 4 × 128 versus 4 × 32 MIMO.</p>
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13 pages, 11324 KiB  
Article
Estimating the Performance of MIMO SC-FDE Systems Using SISO Measurements
by Daniel Fernandes, Francisco Cercas, Rui Dinis and Pedro Sebastião
Appl. Sci. 2020, 10(21), 7492; https://doi.org/10.3390/app10217492 - 25 Oct 2020
Viewed by 2199
Abstract
The demand for ubiquitous telecommunications services forces operators to have a special concern about signal quality and the coverage area they offer to their customers. This was usually checked by using suitable propagation models for Single Input Single Output (SISO) systems, which are [...] Read more.
The demand for ubiquitous telecommunications services forces operators to have a special concern about signal quality and the coverage area they offer to their customers. This was usually checked by using suitable propagation models for Single Input Single Output (SISO) systems, which are no longer the case for new and future mobile generations, such as 5G and beyond. To guarantee good signal quality coverage, operators started to replace these models with Multiple Input Multiple Output (MIMO) ones. To achieve the best results, these models are usually calibrated with Drive Test (DT) measures; however, the DTs available for MIMO propagation models are sparse, in contrast to SISO ones. The main contribution presented in this paper is a methodology to extend the propagation models of SISO systems so they can be applied in MIMO sytems with Single-Carrier and Frequency-Domain Equalization (SC-FDE), while still using DTs acquired for SISO systems. This paper presents the impact on Bit Error Rate (BER) performance and its coverage area resulting from the application of our proposed method. We consider a MIMO SC-FDE system with an Iterative Block Decision Feedback Equalization (IB-DFE) receiver and we present the improvement expressions for the BER that we illustrate with some simulations. Full article
(This article belongs to the Special Issue Transmission Techniques for 5G and Beyond)
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<p>Motivation for this study.</p>
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<p>IB-DFE receiver structure.</p>
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<p>Theoretical BER performance for the first iteration when using IB-DFE for different <math display="inline"><semantics> <mrow> <mi>R</mi> <mo>/</mo> <mi>P</mi> </mrow> </semantics></math> values.</p>
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<p>Theoretical BER performance for the third iteration when using IB-DFE for different <math display="inline"><semantics> <mrow> <mi>R</mi> <mo>/</mo> <mi>P</mi> </mrow> </semantics></math> values.</p>
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<p>Difference between theoretical BER performance for SISO and MIMO systems for the first iteration when using IB-DFE.</p>
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<p>Difference between theoretical BER performance for SISO and MIMO systems for the third iteration when using IB-DFE.</p>
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<p>Considered scenario to validate our model.</p>
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<p>Coverage area of the considered scenario.</p>
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<p>Coverage area extrapolated for a MIMO system with a BER of <math display="inline"><semantics> <msup> <mn>10</mn> <mrow> <mo>−</mo> <mn>2</mn> </mrow> </msup> </semantics></math> and for the first iteration of IB-DFE.</p>
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<p>Estimated coverage area of the considered scenario for a MIMO system with a BER of <math display="inline"><semantics> <msup> <mn>10</mn> <mrow> <mo>−</mo> <mn>4</mn> </mrow> </msup> </semantics></math> when using the third iteration of IB-DFE receivers, based on coverage estimation with DTs for a SISO system.</p>
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12 pages, 1985 KiB  
Article
On the 5G and Beyond
by Mário Marques da Silva and João Guerreiro
Appl. Sci. 2020, 10(20), 7091; https://doi.org/10.3390/app10207091 - 12 Oct 2020
Cited by 47 | Viewed by 6591
Abstract
This article provides an overview of the fifth generation of cellular communications (5G) and beyond. It presents the transmission techniques of current 5G communications and those expected of future developments, namely a brief study of non-orthogonal multiple access (NOMA) using the single carrier [...] Read more.
This article provides an overview of the fifth generation of cellular communications (5G) and beyond. It presents the transmission techniques of current 5G communications and those expected of future developments, namely a brief study of non-orthogonal multiple access (NOMA) using the single carrier with frequency domain equalization (SC-FDE) block transmission technique, evidencing its added value in terms of spectral efficiency. An introduction to the sixth generation of cellular communications (6G) is also provided. The insertion of 5G and 6G within the Fourth Industrial Revolution framework (also known as Industry 4.0) is also dealt with. Consisting of a change in paradigm, when compared to previous generations, 5G supports a myriad of new services based on the Internet of things (IoT) and on vehicle-to-vehicle (V2V) communications, supporting technologies such as autonomous driving, smart cities, and remote surgery. The new services provided by 5G are supported by new techniques, such as millimeter waves (mm-wave), in addition to traditional microwave communication, and by massive multiple-input multiple-output (m-MIMO) technology. These techniques were not employed in the fourth generation of cellular communications (4G). While 5G plays an important role in the initial implementation of the Fourth Industrial Revolution, 6G will address a number of new services such as virtual reality (VR), augmented reality (AR), holographic services, the advanced Internet of things (IoT), AI-infused applications, wireless brain–computer interaction (BCI), and mobility at higher speeds. The current research on systems beyond 5G indicates that these applications shall be supported by new MIMO techniques and make use of terahertz (THz) bands. Full article
(This article belongs to the Special Issue Transmission Techniques for 5G and Beyond)
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<p>The context of the Fourth Industrial Revolution.</p>
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<p>Fifth generation (5G) use cases.</p>
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<p>Third Generation Partnership Project (3GPP) 5G standardization timeline.</p>
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<p>Performance requirements of 5G new radio (NR).</p>
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<p>Illustration of a non-orthogonal multiple access (NOMA) scheme, considering a two-user scenario.</p>
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<p>Results for two NOMA users with powers of (1, 0.5), with 4 × 32 MIMO.</p>
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<p>Results for two NOMA users with powers of (0.5, 1), with 4 × 32 MIMO.</p>
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<p>Evolution of cellular generations.</p>
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