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
         
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/ChinaCom.2012.6417523