Distributed Transmission Probability Control in Fading Channel with State Information

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 intera...

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Main Authors: S. Xie, K.S. Low, E. Gunawan
Format: Article
Language:English
Published: Wiley 2015-05-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/184629
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author S. Xie
K.S. Low
E. Gunawan
author_facet S. Xie
K.S. Low
E. Gunawan
author_sort S. Xie
collection DOAJ
description 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.
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institution Kabale University
issn 1550-1477
language English
publishDate 2015-05-01
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series International Journal of Distributed Sensor Networks
spelling doaj-art-1f104c787ffe456ea0825ffb39d2a25b2025-08-20T03:54:36ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-05-011110.1155/2015/184629184629Distributed Transmission Probability Control in Fading Channel with State InformationS. XieK.S. LowE. GunawanA 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.https://doi.org/10.1155/2015/184629
spellingShingle S. Xie
K.S. Low
E. Gunawan
Distributed Transmission Probability Control in Fading Channel with State Information
International Journal of Distributed Sensor Networks
title Distributed Transmission Probability Control in Fading Channel with State Information
title_full Distributed Transmission Probability Control in Fading Channel with State Information
title_fullStr Distributed Transmission Probability Control in Fading Channel with State Information
title_full_unstemmed Distributed Transmission Probability Control in Fading Channel with State Information
title_short Distributed Transmission Probability Control in Fading Channel with State Information
title_sort distributed transmission probability control in fading channel with state information
url https://doi.org/10.1155/2015/184629
work_keys_str_mv AT sxie distributedtransmissionprobabilitycontrolinfadingchannelwithstateinformation
AT kslow distributedtransmissionprobabilitycontrolinfadingchannelwithstateinformation
AT egunawan distributedtransmissionprobabilitycontrolinfadingchannelwithstateinformation