DocumentCode :
754893
Title :
Analyzing and Optimizing Adaptive Modulation Coding Jointly With ARQ for QoS-Guaranteed Traffic
Author :
Wang, Xin ; Liu, Qingwen ; Giannakis, Georgios B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN
Volume :
56
Issue :
2
fYear :
2007
fDate :
3/1/2007 12:00:00 AM
Firstpage :
710
Lastpage :
720
Abstract :
A cross-layer design is developed for quality-of-service (QoS)-guaranteed traffic. The novel design jointly exploits the error-correcting capability of the truncated automatic repeat request (ARQ) protocol at the data link layer and the adaptation ability of the adaptive modulation and coding (AMC) scheme at the physical layer to optimize system performance for QoS-guaranteed traffic. The queuing behavior induced by both the truncated ARQ protocol and the AMC scheme is analyzed with an embedded Markov chain. Analytical expressions for performance metrics such as packet loss rate, throughput, and average packet delay are derived. Using these expressions, a constrained optimization problem is solved numerically to maximize the overall system throughput under the specified QoS constraints
Keywords :
Markov processes; adaptive codes; adaptive modulation; automatic repeat request; protocols; quality of service; telecommunication traffic; AMC; ARQ; QoS-guaranteed traffic; adaptive modulation and coding; cross-layer design; data link; data link layer; embedded Markov chain; optimizing adaptive modulation; physical layer; quality-of-service; truncated automatic repeat request protocol; Automatic repeat request; Cross layer design; Design optimization; Modulation coding; Physical layer; Protocols; Quality of service; System performance; Throughput; Traffic control; Adaptive modulation and coding (AMC); automatic repeat request (ARQ); cross-layer design; embedded Markov chain; quality-of-service (QoS);
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2007.891465
Filename :
4138054
Link To Document :
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