[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Kianfar et al., 2024 - Google Patents

Digital AirComp-Assisted Federated Edge Learning with Adaptive Quantization

Kianfar et al., 2024

Document ID
12440260542037506198
Author
Kianfar G
Dmohammadi S
Abouei J
Mohammadi A
Plataniotis K
Publication year
Publication venue
2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)

External Links

Snippet

Federated edge learning (FEEL) has been introduced for training machine learning models on distributed datasets for applications such as human monitoring. However, some challenges exist concerning the number of communication rounds and communication …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; Arrangements for supplying electrical power along data transmission lines
    • H04L25/03Shaping networks in transmitter or receiver, e.g. adaptive shaping networks ; Receiver end arrangements for processing baseband signals
    • H04L25/03006Arrangements for removing intersymbol interference
    • H04L25/03343Arrangements at the transmitter end
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; Arrangements for supplying electrical power along data transmission lines
    • H04L25/0202Channel estimation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/2601Multicarrier modulation systems
    • H04L27/2602Signal structure
    • H04L27/2608Allocation of payload
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • H04B7/0426Power distribution
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0636Feedback format
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/0001Arrangements for dividing the transmission path
    • H04L5/0003Two-dimensional division
    • H04L5/0005Time-frequency
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/003Arrangements for allocating sub-channels of the transmission path
    • H04L5/0058Allocation criteria
    • H04L5/006Quality of the received signal, e.g. BER, SNR, water filling
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received

Similar Documents

Publication Publication Date Title
US11863258B2 (en) Encoding and decoding of information for wireless transmission using multi-antenna transceivers
CN113906719A (en) Processing communication signals using machine learning networks
Zhou et al. A survey on model-based, heuristic, and machine learning optimization approaches in RIS-aided wireless networks
CN114097202B (en) Decoder and method for decoding a signal
Ghadi et al. Copula function‐based analysis of outage probability and coverage region for wireless multiple access communications with correlated fading channels
CN114826832B (en) Channel estimation method, neural network training method, device and equipment
Ahsan et al. Reinforcement learning for user clustering in NOMA-enabled uplink IoT
Uma Mageswari et al. Machine Learning Empowered Accurate CSI Prediction for Large‐Scale 5G Networks
Asyhari et al. MIMO block-fading channels with mismatched CSI
Kianfar et al. Digital AirComp-Assisted Federated Edge Learning with Adaptive Quantization
WO2023236609A1 (en) Automatic mixed-precision quantization method and apparatus
US20240372755A1 (en) Communication device and method for performing communication signal processing
Kopic et al. On Reward Shaping Methods in Deep Reinforcement Learning for Radio Resource Management in Wireless Networks
Hellström et al. Over-the-air federated learning with retransmissions (extended version)
Rajashekar et al. A finite input alphabet perspective on the rate-energy tradeoff in SWIPT over parallel Gaussian channels
Gong et al. Minimize BER without CSI for dynamic RIS-assisted wireless broadcast communication systems
Eswaramoorthi et al. Deep graph neural network optimized with fertile field algorithm based detection model for uplink multiuser massive multiple‐input and multiple‐output system
Liao et al. Ultra-reliable intelligent link scheduling based on DRL for manned/unmanned aerial vehicle cooperative scenarios
Zhang et al. Machine Learning enabled Heterogeneous Semantic and Bit Communication
Khan et al. Link to system interfacing for multiple input and multiple output wireless system using maximum likelihood receiver
CN105681236B (en) A kind of Initialization Algorithms of Sphere Decoding Algorithm
Feng et al. Optimal IA design and performance analysis for MIMO–OFDM systems with imperfect CSI
Wang et al. Signal processing for enhancing railway communication by integrating deep learning and adaptive equalization techniques
Tao et al. End-to-End Semantic Information Transmission
de Souza et al. Hybrid Hughes‐Hartogs power allocation algorithms for OFDMA systems