Title :
Capacity Based Adaptive Power Allocation for the OFDM Relay Networks with Limited Feedback
Author :
Liu, Yong ; Chen, Wen ; Huang, Xiaopeng
Author_Institution :
Wireless Network Transm. Lab., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
In this paper, we propose a dynamic power allocation scheme for a single-relay network based on orthogonal frequency division multiplexing (OFDM) modulation with limited feedback.We consider an Amplify-and-Forward (AF) cooperative diversity model, where one source node communicates with one destination node assisted by one half duplex relay. The power allocation scheme employs a codebook of quantized power allocation vectors designed offline equipped on the source, relay, and destination. The destination, who has full knowledge of channel state information (CSI), chooses the best power allocation vector and sends back its index to the source and relay nodes, which results in a dramatic reduced overhead over conventional resource allocation. First we achieve the optimal power allocation solution as the function of channel realizations with maximum capacity. Then we present an adaptation of the Lloyd algorithm to construct a codebook to quantize the optimal power allocation vectors subject to the amount of feedback. Simulations show that a negligible performance loss could be achieved with just a few feedback bits at different levels of SNRs.
Keywords :
OFDM modulation; amplify and forward communication; cooperative communication; encoding; feedback; relays; resource allocation; vectors; wireless channels; AF cooperative diversity model; CSI; Lloyd algorithm; OFDM single-relay network; SNR; amplify-and-forward cooperative diversity model; capacity based adaptive power allocation scheme; channel realization function; channel state information; codebook; half duplex relay; limited feedback; orthogonal frequency division multiplexing modulation; quantized power allocation vector; resource allocation; Algorithm design and analysis; OFDM; Peer to peer computing; Relays; Resource management; Signal to noise ratio; Strontium;
Conference_Titel :
Communications (ICC), 2011 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-61284-232-5
Electronic_ISBN :
1550-3607
DOI :
10.1109/icc.2011.5962465