Dynamic optimized cooperation in multi‐source multi‐relay wireless networks with random linear network coding
Copyright policy )Dynamic optimized cooperation in multi‐source multi‐relay wireless networks with random linear network coding
Abstract The authors present a strategy that improves the reliability of data transmission from multiple sources towards a destination D via multiple relays over wireless channels. After the broadcast phase, the destination selects the best cooperative direct link sources with the highest instantaneous signal‐to‐noise ratio , then generates and sends the random linear network coding coefficient matrix to the relays. After receiving the random linear network coding–coded symbols (packets) from the relays, D completes the reception and decoding of all source nodes packets. Monte Carlo simulations are conducted with Galois field (GF) ( ) symbols ( = 2, 4 and 8) and the results are compared with the scenario of static cooperative direct links. An important decrease of symbol error rate (SER) is achieved. Furthermore, the efficiency of this approach is confirmed for the whole range of possible values of path loss exponent on direct links, that is, all types of environment between source nodes and destination D .
Computer Networks and Communications, Radio links and equipment, Phase-shift keying, Quantum mechanics, Codes, Engineering, Cooperative Diversity in Wireless Networks, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Electrical and Electronic Engineering, Cooperative Relaying, Maximal-ratio combining, Network Coding, Physical Layer Network Coding, Linear network coding, Wireless network, Signal-to-noise ratio (imaging), MIMO Relays, MIMO Relay Channels, Computer network, Network packet, Physical Layer Security in Wireless Communications, Physics, Statistics, Monte Carlo methods, Relay, Challenges and Opportunities in Full-Duplex Wireless Communication, Power (physics), Reliability, Computer science, Transmission (telecommunications), TK1-9971, Algorithm, Monte Carlo method, Algebra, Fading, Bit error rate, Computer Science, Physical Sciences, Wireless, Telecommunications, Electrical engineering. Electronics. Nuclear engineering, Decoding methods, Mathematics
Computer Networks and Communications, Radio links and equipment, Phase-shift keying, Quantum mechanics, Codes, Engineering, Cooperative Diversity in Wireless Networks, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Electrical and Electronic Engineering, Cooperative Relaying, Maximal-ratio combining, Network Coding, Physical Layer Network Coding, Linear network coding, Wireless network, Signal-to-noise ratio (imaging), MIMO Relays, MIMO Relay Channels, Computer network, Network packet, Physical Layer Security in Wireless Communications, Physics, Statistics, Monte Carlo methods, Relay, Challenges and Opportunities in Full-Duplex Wireless Communication, Power (physics), Reliability, Computer science, Transmission (telecommunications), TK1-9971, Algorithm, Monte Carlo method, Algebra, Fading, Bit error rate, Computer Science, Physical Sciences, Wireless, Telecommunications, Electrical engineering. Electronics. Nuclear engineering, Decoding methods, Mathematics
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