ACAR: an ant colony algorithm‐based routing protocol for underwater acoustic sensor network
Research on underwater acoustic sensor networks has become a compelling field in recent years since resources on land are being depleted. Therefore, robust and efficient routing protocols are needed to ensure the reliability of message gathering and ...
Hybrid deep learning‐based throughput analysis for UAV‐assisted cellular networks
Mobile users are interested in utilising high network capabilities without time and place constraints. However, with a high level of interest in the usage of mobile phones and internet facilities, the limited capacity of terrestrial base stations (BSs) is ...
Supporting legacy and RF‐energy harvesting devices in multi‐cells OFDMA networks
A multi‐cell network that uses orthogonal frequency division multiplexing access (OFDMA) is studied here. Unlike prior works, the proposed network consists of both (i) legacy data users that do not have energy harvesting capability and have a minimum data ...
Joint communication and radar sensing in 5G mobile network by compressive sensing
Radio sensing can be integrated with communication in what the authors call future perceptive mobile networks. Due to the complicated signal structure, it is challenging to estimate sensing parameters such as delay, angle of arrival, and Doppler when ...
Achievable rate analysis and maximisation for the SWIPT‐based half‐duplex quantise‐and‐forward cooperation in IoT networks
To achieve reliable and green communication in the internet of things (IoT) networks, the authors extend the traditional half‐duplex quantise‐and‐forward (QF) cooperation into the simultaneous wireless information and power transfer (SWIPT) regime. This ...
Iterative AP selection, MMSE precoding and power allocation in cell‐free massive MIMO systems
In this work, the authors proposed the iterative access point (AP) selection (APS), linear minimum mean‐square error (MMSE) precoding and power allocation techniques for cell‐free massive multiple‐input multiple‐output (MIMO) systems. They considered the ...
Mitigating the effect of negative link correlation on contention mechanism of MAC protocols in wireless sensor networks
The existence of link correlation has been empirically validated, and different exemplary works exploit the link correlation in the designing of various network protocols. In this work, the authors investigated the impact of this link correlation in ...
Performance analysis of incoherent PPM‐OCDMA networks based on optimised modified prime code for multimedia applications
This study presents the design analysis and correlation properties of a new spreading code for the incoherent synchronous pulse position modulation‐optical code division multiple access (PPM‐OCDMA) networks. The proposed code called optimised modified ...
3DEOR: an opportunity routing protocol using evidence theory appropriate for 3D urban environments in VANETs
The vehicular ad hoc network (VANET) is a promising technology to improve the comfort and safety of passengers, roads and urban traffic. Applications applied to VANETs require efficient routing protocols. Urban environments include tunnels, subways, ...
Multi‐tier MEC offloading strategy based on dynamic channel characteristics
Comparing with the cloud computing, mobile edge computing (MEC) can further decrease the latency and improve the stability of the networks. However, it is challenging for the edge servers to deal with the large computation task due to the limited ...
Mean‐based reciprocity calibration in TDD massive MIMO system
Non‐reciprocity limits the potential of time division duplexing (TDD) massive multiple‐input and multiple‐output (MIMO) systems. Due to the reciprocal channel, there is no need for downlink (DL) pilot transmission implies computational complexity ...
Coverage and rate analysis for 5G‐heterogeneous network: β‐Ginibre point process
Stochastic geometry is emerging as tractable solution and attractive approach to evaluate the performance of 5G heterogeneous network (5G‐Hetnet) such as coverage, outage and rate probability. The base stations (BSs) and fading distribution in 5G‐Hetnet ...
Performance analysis of adaptive combining based hybrid FSO/RF terrestrial communication
This study deals with the performance analysis of adaptive combining‐based hybrid free‐space optics (FSO)/radio‐frequency (RF) system in a terrestrial communication scenario with and without pointing errors. Here, outage probability and average symbol ...
Wireless‐powered CR‐IoT with ambient backscattering: a new transmission mode
In this study, a new hybrid secondary transmitter (ST) mode is proposed for cognitive radio Internet of Things (CR‐IoT) networks with energy harvesting (EH) and ambient backscatter (AmBack) communication capabilities. The authors firstly describe the ...
Techno‐economic model of fibre‐to‐the‐home as 5G fronthaul: evaluation of capital expenditures
Fibre optics is the best solution for the deployment of 5G fronthaul, but it is expensive and time‐consuming. The use of a common fibre access network for fixed and mobile services results in cost reduction, quality of experience improvement, and synergy ...
Practical AMC model based on SAE with various optimisation methods under different noise environments
Automatic modulation classification (AMC) has recently attracted widespread attention nowadays due to its desirable features of generalisability and requirement of little prior knowledge through artificial intelligence (AI) technology. The authors propose ...
Deep network approach with stacked sparse autoencoders in detection of DDoS attacks on SDN‐based VANET
Software‐defined network (SDN)‐based vehicular ad hoc network (VANET) is an outstanding technology for smart transportation as it increases traffic safety, efficiency, comfort, and manageability. However, despite all its benefits and good performance, SDN‐...
Cache allocation optimisation of user relationship group based on reinforcement learning
In order to alleviate network congestion and reduce request delay, device‐to‐device caching technology will be an important part of modern communication networks. People always browse the Internet for things they are interested in. However, different ...
Compressed sensing Kalman filter estimation scheme for MIMO system under phase noise problem
Phase noise problem in oscillators can degrade the performance of high‐speed communication systems. The author analysed the impact of phase noise problem on multi‐input–multi‐output (MIMO) systems under common and independent oscillators. The estimation ...
Hybrid machine learning detection for orbital angular momentum over turbulent MISO wireless channel
This work proposes a machine learning detection scheme for wireless orbital angular momentum (OAM) communication systems. The new scheme works for single‐input–single‐output (SISO) and multiple‐input–single‐output (MISO) wireless communication between the ...
DOA estimation algorithm based on DFT and multiple regression
In order to address the problem that the direction‐of‐arrival (DOA) estimation is restricted by the number of array elements, this study comes up with a novel DOA estimation algorithm based on discrete‐Fourier‐transformation (DFT) and multiple regression, ...
Secrecy transmission capacity in mobile ad hoc networks with security‐aware Aloha protocol
Mobile ad hoc networks (MANETs) represent a class of important network models for supporting various critical applications, while the security breach due to eavesdropping attacks has been a critical issue. This study investigates the security issue of ...
Efficient hybrid Neumann series based MMSE assisted detection for 5G and beyond massive MIMO systems
Massive multiple‐input multiple‐output (M‐MIMO) is one of the cutting edge technologies that provides significant improvement in throughput, coverage and spectral efficiency. The challenge with M‐MIMO systems is to extract individual signals from the ...
Likelihood ascent search augmented sphere decoding receiver for MIMO systems using M‐QAM constellations
MIMO systems employing sphere decoding (SD) algorithm are known to achieve near maximum likelihood (ML) performance at a reduced complexity by restricting the candidate search space to a sphere of a certain radius. The performance of SD depends on the ...
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