DocumentCode :
3031208
Title :
Resource allocation for decode-and-forward relay-assisted SC-FDMA systems
Author :
Mengying Zhang ; Yu Zhu
Author_Institution :
Dept. of Commun. Sci. & Eng., Fudan Univ., Shanghai, China
fYear :
2012
fDate :
8-10 Aug. 2012
Firstpage :
441
Lastpage :
445
Abstract :
In this paper, we investigate the resource allocation for decode-and-forward (DF) relay-assisted SC-FDMA systems. Considering the subcarrier adjacency restriction of SC-FDMA, we present an optimal algorithm which refers to the set partitioning problem. In order to reduce the computational complexity of the optimal resource allocation, we also propose a suboptimal algorithm which is based on the greedy heuristic thinking. Simulation results show that the spectral efficiency of the optimal algorithm is much higher than that of the round robin algorithm. It is also shown that the greedy algorithm, which has much lower complexity, performs quite close to the optimal algorithm.
Keywords :
communication complexity; decode and forward communication; frequency division multiple access; greedy algorithms; relay networks (telecommunication); resource allocation; spectral analysis; DF relay-assisted SC-FDMA systems; computational complexity; decode-and-forward relay-assisted SC-FDMA systems; greedy algorithm; greedy heuristic thinking; optimal resource allocation; round robin algorithm; set partitioning problem; spectral efficiency; subcarrier adjacency restriction; suboptimal algorithm; Algorithm design and analysis; Complexity theory; Greedy algorithms; Partitioning algorithms; Relays; Resource management; Uplink; 3GPP; SC-FDMA; cooperative relay; greedy algorithm; resource allocation; set partitioning problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Networking in China (CHINACOM), 2012 7th International ICST Conference on
Conference_Location :
Kun Ming
Print_ISBN :
978-1-4673-2698-8
Electronic_ISBN :
978-1-4673-2697-1
Type :
conf
DOI :
10.1109/ChinaCom.2012.6417523
Filename :
6417523
Link To Document :
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