Báo cáo hóa học: " Research Article Analysis of the Tradeoff between Delay and Source Rate in Multiuser Wireless Systems"

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 Analysis of the Tradeoff between Delay and Source Rate in Multiuser Wireless Systems | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2010 Article ID 726750 13 pages doi 2010 726750 Research Article Analysis of the Tradeoff between Delay and Source Rate in Multiuser Wireless Systems Beatriz Soret M. Carmen Aguayo Torres and J. Tomas Entrambasaguas Department ofIngenieria de Comunicaciones Universidad de Malaga 29071 Malaga Spain Correspondence should be addressed to Beatriz Soret bsoret@ Received 25 January 2010 Revised 23 May 2010 Accepted 3 August 2010 Academic Editor Hyunggon Park Copyright 2010 Beatriz Soret et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. This work addresses the limits on the information that can be transmitted over the wireless channel under the conditions stated by the MAC layer a selected scheduling discipline and an ensured level of QoS. Based on the effective bandwidth theory the joint influence of the channel fading the data outsourcing process and the scheduling discipline in the QoS metrics are studied. We obtain a closed-form expression of the vector of attainable users rates Rpi e for several scheduling algorithms representing the maximum constant rate that the uth user can transmit under the selected discipline and fulfilling a target Bit Error Rate BER and the delay constraint given by the pair D e where D is the target delay and e is the probability of exceeding D . 1. Introduction Providing Quality of Service QoS guarantees to different applications is an important issue in the design of next generation of high-speed networks. The QoS metrics of interest are likely to vary from one application to another but are predicted to include measures such as throughput Bit Error Rate BER and delay. Unlike traditional data communication where system performance is largely measured in terms of .

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