DocumentCode :
147989
Title :
Capacity analysis of outdated relay selection in opportunistic relaying system using an adaptive transmission technique
Author :
Seokjung Kim ; Seokwon Lee ; Haesoon Lee ; Daesik Hong
Author_Institution :
Inf. Telecommun. Lab., Yonsei Univ., Seoul, South Korea
fYear :
2014
fDate :
6-9 April 2014
Firstpage :
24
Lastpage :
29
Abstract :
In this paper, we investigate the impact of outdated channel state information (CSI) on the channel capacity of an opportunistic relaying system in conjunction with adaptive transmission techniques. We derive the closed-form expressions of the channel capacity and its associated outage probability for four adaptive transmission techniques: (1) optimal rate adaptation with constant transmit power, (2) optimal transmit power and rate adaptation, (3) channel inversion with fixed rate, and (4) truncated channel inversion with fixed rate. Analytical and numerical results show the effects of outdated CSI on the capacity of the optimal power and rate adaptation and the sub-optimal channel inversion techniques. In addition, we compare the channel capacity among various adaptive transmission techniques in the presence of outdated CSI, thereby illustrating the intuitive tradeoff between the achievable capacity and implementation complexity.
Keywords :
channel capacity; relay networks (telecommunication); adaptive transmission technique; capacity analysis; channel capacity; closed form expressions; constant transmit power; opportunistic relaying system; optimal rate adaptation; optimal transmit power; outage probability; outdated channel state information; outdated relay selection; suboptimal channel inversion; truncated channel inversion; Adaptive systems; Channel capacity; Closed-form solutions; Correlation; Data communication; Relays; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2014 IEEE
Conference_Location :
Istanbul
Type :
conf
DOI :
10.1109/WCNC.2014.6951916
Filename :
6951916
Link To Document :
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