DocumentCode :
3067415
Title :
Queuing Analysis on Adaptive Transmission in MIMO Systems with Imperfect CSI
Author :
Liao, Xin ; Kong, Luting ; Jiang, Jun ; Zhang, Ping
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2009
fDate :
20-23 Sept. 2009
Firstpage :
1
Lastpage :
5
Abstract :
The adaptive transmission jointly considering adaptive modulation and coding (AMC) and automatic repeat request (ARQ) has been applied to MIMO systems to provide high spectral efficiency and link robustness. However, the adaptive transmission requires knowledge of the channel state information (CSI) and in practice perfect CSI is rarely available. In this paper, under the condition of finite-length buffer, the queuing characteristics of the Zero-Forcing (ZF) detection MIMO systems combining with adaptive transmission in the presence of imperfect CSI are analyzed. We use Markov-chain-based analytical framework to investigate the performance of the systems and derive the close form expressions for the throughput, packet loss rate and average delay, from which we can maximize the overall system throughput under the specified QoS constraints through numerical search. The simulation results demonstrate the verification of the performance analysis.
Keywords :
MIMO communication; Markov processes; adaptive codes; adaptive modulation; automatic repeat request; channel capacity; Markov-chain-based analytical framework; adaptive modulation and coding; adaptive transmission; automatic repeat request; channel state information; finite-length buffer; imperfect CSI; queuing analysis; zero-forcing detection MIMO systems; Adaptive systems; Automatic repeat request; Channel state information; MIMO; Modulation coding; Performance analysis; Performance loss; Queueing analysis; Robustness; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference Fall (VTC 2009-Fall), 2009 IEEE 70th
Conference_Location :
Anchorage, AK
ISSN :
1090-3038
Print_ISBN :
978-1-4244-2514-3
Electronic_ISBN :
1090-3038
Type :
conf
DOI :
10.1109/VETECF.2009.5378837
Filename :
5378837
Link To Document :
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