NDLI: Cross-layer combining of adaptive modulation with truncated ARQ in SIMO systems with imperfect CSI at receiver

Content Provider	IEEE Xplore Digital Library
Author	Barazideh, R. Seyfe, B.
Copyright Year	2009
Description	Author affiliation: Department of Electrical Engineering, Shahed University, Tehran, Iran (Barazideh, R.; Seyfe, B.)
Abstract	In this paper we provide an adaptive cross layer design in single input multiple output systems which combines adaptive modulation at the physical layer with truncated automatic repeat request at the data link layer to maximize the spectral efficiency. The maximization is performed in the presence of imperfect channel state information at the receiver under prescribed quality of service such as delay and error rate constraints. Linear minimum mean square error filter with the aid of adaptive pilot symbols is used to facilitate estimation process. We provide closed forms expression for average spectral efficiency and average packet error rate over Ray-leigh fading channel. Numerical results demonstrate that our adaptive cross layer design improves the spectral efficiency while meet the prescribed quality of service, especially when the large number of receive antennas is used. Also we find out that, the increment of spectral efficiency decreases when the maximum number of retransmission is higher than two.
Starting Page	321
Ending Page	325
File Size	552577
Page Count	5
File Format	PDF
ISBN	9781424442478
DOI	10.1109/CCCM.2009.5267673
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cross layer design Adaptive systems Error analysis cross layer design Adaptive filters Quality of service Physical layer channel state information (CSI) Delay Mean square error methods Adaptive modulation (AM) automatic repeat request (ARQ) Automatic repeat request Channel state information
Content Type	Text
Resource Type	Article

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