DocumentCode :
21386
Title :
Resource Allocation for Energy-Efficient 3-Way Relay Channels
Author :
Matthiesen, Bho ; Zappone, Alessio ; Jorswieck, Eduard A.
Author_Institution :
Dept. of Commun. Theor., Commun. Lab., Tech. Univ. Dresden, Dresden, Germany
Volume :
14
Issue :
8
fYear :
2015
fDate :
Aug. 2015
Firstpage :
4454
Lastpage :
4468
Abstract :
Throughput and energy efficiency in 3-way relay channels are studied in this paper. Unlike previous contributions, we consider a circular message exchange. First, an outer bound and achievable sum rate expressions for different relaying protocols are derived for 3-way relay channels. The sum capacity is characterized for certain SNR regimes. Next, leveraging the derived achievable sum rate expressions, cooperative and competitive maximization of the energy efficiency are considered. For the cooperative case, both low-complexity and globally optimal algorithms for joint power allocation at the users and at the relay are designed so as to maximize the system global energy efficiency. For the competitive case, a game theoretic approach is taken, and it is shown that the best response dynamics is guaranteed to converge to a Nash equilibrium. A power consumption model for mmWave board-to-board communications is developed, and numerical results are provided to corroborate and provide insight on the theoretical findings.
Keywords :
cooperative communication; electronic messaging; energy conservation; game theory; protocols; relay networks (telecommunication); resource allocation; telecommunication power management; wireless channels; 3-way relay channel; Nash equilibrium; SNR; circular message exchange; cooperative case; game theoretic approach; global energy efficiency; joint power allocation; mmWave board-to-board communication; power consumption model; relaying protocol; resource allocation; response dynamics; sum capacity; Artificial neural networks; Decoding; Power control; Receivers; Relays; Resource management; Wireless communication; 5G networks; Multi-way networks; energy efficiency; fractional programming; game theory; green communications; mmWave communications; monotonic optimization; power control; relay systems; resource allocation;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2015.2421496
Filename :
7084128
Link To Document :
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