DocumentCode :
2088919
Title :
Optimal Cross-Layer Performance over MIMO Fading Channel with Adaptive Transmission
Author :
Liao, Xin ; Sun, Xuehong ; Kong, Luting ; Jiang, Jun
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2009
fDate :
24-26 Sept. 2009
Firstpage :
1
Lastpage :
4
Abstract :
The traditional adaptive modulation and coding (AMC) scheme has been designed separately from higher protocol layers. In this paper, we consider the joint effects of finite-length buffer at the data link layer and the channel state information (CSI) at the physical layer for the adaptive transmission over the multiple input multiple output (MIMO) fading channel. A novel cross-layer adaptive transmission policy is proposed to minimize the system overall packet loss rate (PLR) including the packet dropping rate and the packet error rate. We model the policy decision-making process as a Markov decision problem and utilize linear programming method to obtain the optimal adaptive transmission policy. Simulation results demonstrate the verification of the performance analysis, and show the great improvement of the system PLR compared with the traditional AMC scheme.
Keywords :
MIMO communication; Markov processes; adaptive codes; adaptive modulation; decision making; error statistics; fading channels; linear programming; protocols; MIMO fading channel; Markov decision problem; adaptive modulation and coding scheme; channel state information; cross-layer adaptive transmission policy; data link layer; finite-length buffer; linear programming method; multiple input multiple output fading channel; optimal cross-layer performance; packet dropping rate; packet error rate; packet loss rate; policy decision-making process; Channel state information; Decision making; Error analysis; Fading; Linear programming; MIMO; Modulation coding; Physical layer; Propagation losses; Protocols;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
Type :
conf
DOI :
10.1109/WICOM.2009.5301622
Filename :
5301622
Link To Document :
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