tailieunhanh - Báo cáo hóa học: " Research Article Distributed Space-Time Block Coded Transmission with Imperfect Channel Estimation: Achievable Rate and Power Allocation"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Distributed Space-Time Block Coded Transmission with Imperfect Channel Estimation: Achievable Rate and Power Allocation | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 471327 9 pages doi 2008 471327 Research Article Distributed Space-Time Block Coded Transmission with Imperfect Channel Estimation Achievable Rate and Power Allocation Leila Musavian and Sonia A issa INRS-EMT University of Quebec Montreal QC Canada Correspondence should be addressed to Leila Musavian musavian@ Received 2 May 2007 Accepted 27 August 2007 Recommended by R. K. Mallik This paper investigates the effects of channel estimation error at the receiver on the achievable rate of distributed space-time block coded transmission. We consider that multiple transmitters cooperate to send the signal to the receiver and derive lower and upper bounds on the mutual information of distributed space-time block codes D-STBCs when the channel gains and channel estimation error variances pertaining to different transmitter-receiver links are unequal. Then assessing the gap between these two bounds we provide a limiting value that upper bounds the latter at any input transmit powers and also show that the gap is minimum if the receiver can estimate the channels of different transmitters with the same accuracy. We further investigate positioning the receiving node such that the mutual information bounds of D-STBCs and their robustness to the variations of the subchannel gains are maximum as long as the summation of these gains is constant. Furthermore we derive the optimum power transmission strategy to achieve the outage capacity lower bound of D-STBCs under arbitrary numbers of transmit and receive antennas and provide closed-form expressions for this capacity metric. Numerical simulations are conducted to corroborate our analysis and quantify the effects of imperfect channel estimation. Copyright 2008 L. Musavian and S. Aissa. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use .