Title :
Half-Duplex Relaying Over Slow Fading Channels Based on Quantize-and-Forward
Author :
Sha Yao ; Kim, Tony T. ; Skoglund, Mikael ; Poor, H. Vincent
Author_Institution :
Sch. of Electr. Eng., R. Inst. of Technol., Stockholm, Sweden
Abstract :
The focus of this paper is to study the performance of the quantize-and-forward (QF) scheme over a half-duplex relay channel that is slowly fading, with the assumption that the channel state information (CSI) is available only at the receiver side. In order to do so, three steps are taken. The first step is to characterize the achievable rate of the QF scheme over a discrete memoryless half-duplex relay channel. Then, the achievable rate over a corresponding additive white Gaussian noise channel is obtained (the specific assumption regarding the CSI in this paper makes this step nontrivial). With the results from the first two steps, performance measures such as outage probability, expected rate, and diversity-multiplexing tradeoff (DMT) over slow fading channels are evaluated. It is shown that the QF scheme can significantly outperform the compress-and-forward scheme at finite signal-to-noise ratio (SNR) and it can achieve the optimal DMT at asymptotically high SNR. Moreover, it is shown that simple feedback from the destination node to the relay node can further improve the performance of the QF scheme.
Keywords :
AWGN channels; channel coding; decode and forward communication; diversity reception; fading channels; probability; relay networks (telecommunication); CSI; DMT; QF scheme; SNR; additive white Gaussian noise channel; channel state information; compress-and-forward scheme; discrete memoryless half-duplex relay channel; diversity-multiplexing tradeoff; finite signal-to-noise ratio; half-duplex relaying; outage probability; quantize-and-forward; slow fading channel; AWGN; AWGN channels; Encoding; Fading; Random variables; Relays; Signal to noise ratio; Half-duplex relay channels; outage probability; partial feedback; quantize-and-forward (QF); slow fading channels;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2012.2224318