Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81131
Title: Distributed Transmission Probability Control in Fading Channel with State Information
Authors: Xie, S.
Low, Kay Soon
Gunawan, Erry
Issue Date: 2015
Source: Xie, S., Low, K. S., & Gunawan, E. (2015). Distributed Transmission Probability Control in Fading Channel with State Information. International Journal of Distributed Sensor Networks, 2015, 184629-.
Series/Report no.: International Journal of Distributed Sensor Networks
Abstract: A wireless system consisting of a finite number of heterogeneous users transmitting packets over a slotted ALOHA Rayleigh-fading channel is investigated in this paper. In this system, each user tries to minimize its number of transmission attempts while meeting the throughput demand. The user interaction in such an ALOHA network is modeled as a random access game. A novel technique to better exploit the channel state information (CSI) named adaptive CSI transmission method is proposed. Benchmarking with the no-CSI method and threshold-based CSI method, it is revealed that the proposed adaptive CSI method can yield up to 9.9% more throughput and 12.3% power reduction. Two simple yet effective guidelines on selecting among these CSI-related methods are formulated for systems with different SNRs and capture ratios. A distributed algorithm is proposed to find the optimal transmission probability. Both analytical and simulation results show that the algorithm exhibits fast convergence speed and is robustness against changes on the number of active nodes in the network.
URI: https://hdl.handle.net/10356/81131
http://hdl.handle.net/10220/39073
ISSN: 1550-1329
DOI: 10.1155/2015/184629
Schools: School of Electrical and Electronic Engineering 
Rights: © 2015 S. Xie 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.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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