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 Slotted Gaussian Multiple Access Channel: Stable Throughput Region and Role of Side Information | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2008 Article ID 695894 11 pages doi 2008 695894 Research Article Slotted Gaussian Multiple Access Channel Stable Throughput Region and Role of Side Information Vaneet Aggarwal1 and Ashutosh Sabharwal2 1 Department of Electrical Engineering Princeton University Princeton NJ 08544 USA 2 Department of Electrical Computer Engineering Rice University Houston TX 77005 USA Correspondence should be addressed to Vaneet Aggarwal vaggarwa@ Received 2 September 2007 Revised 31 December 2007 Accepted 19 March 2008 Recommended by Nihar Jindal We study the relation between the stable throughput regions and the capacity regions for a Gaussian multiple-access channel. Our main focus is to study how the extent of side information about source arrival statistics and or instantaneous queue states at each transmitter influence the achievable stable throughput region. Two notions of MAC capacity are studied. The first notion is the conventional Shannon capacity which relies on large coding block lengths for finite SNR while the second uses finite code blocks with high SNR. We find that the stable throughput region coincides with the Shannon capacity region for many scenarios of side information where side information is defined as a mix of statistical description and instantaneous queue states. However a lack of sufficient side information about arrival statistics can lead to a significant reduction in the stable throughput region. Finally our results lend strong support to centralized architectures implementing some form of congestion rate control to achieve Shannon capacity primarily to counter lack of detailed information about source statistics at the mobile nodes. Copyright 2008 V. Aggarwal and A. Sabharwal. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any .
