Performance comparisons of sequential and asynchronous iterative water filling algorithm in cognitive smart grid communications

2015 IEEE 12th Malaysia International Conference on Communications (MICC) Pub Date : 2015-11-01 DOI:10.1109/MICC.2015.7725420

Yik-Kuan Hiew, N. Aripin, Norashidah Md Din

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Abstract

Cognitive radio based smart grid communication allows smart grid users to utilize spectrum bands opportunistically. Cognitive radio does not require spectrum leasing cost, saves users' energy consumption, keeps interference level low, and improves interoperability. In low traffic load environment, cognitive radio is able to support smart grid data transmission. However, the traffic load in Advanced Metering Infrastructure (AMI) can be as high as 1000 kbps or 500 kbps for backhaul. In this paper, the performance of cognitive radio in high traffic load AMI is investigated. Iterative Water Filling Algorithm (IWFA) is implemented upon cognitive radio to maximize the capacity of smart grid users through computing optimal transmit power for each user. The performances of sequential IWFA and asynchronous IWFA in smart grid communication are investigated. Simulation is conducted using Network Simulator 2. Simulation results show that IWFA indeed is able to maximize the capacity of smart grid users. Results also show that the asynchronous IWFA performs better than sequential IWFA. Asynchronous IWFA improves delivery ratio and throughput of cognitive radio based AMI communication by 5.95% and 8.67%, respectively.

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认知智能电网通信中顺序与异步迭代充水算法的性能比较

基于认知无线电的智能电网通信允许智能电网用户机会性地利用频谱带。认知无线电不需要频谱租赁成本，节省用户能源消耗，保持低干扰水平，提高互操作性。在低流量负荷环境下，认知无线电能够支持智能电网数据传输。但是，在高级计量基础设施(AMI)中，回程的流量负载可能高达1000kbps或500kbps。本文研究了认知无线电在高流量负载AMI中的性能。在认知无线电上实现迭代充水算法(IWFA)，通过计算每个用户的最优发射功率，实现智能电网用户容量的最大化。研究了智能电网通信中顺序IWFA和异步IWFA的性能。使用Network Simulator 2进行仿真。仿真结果表明，IWFA确实能够实现智能电网用户容量的最大化。结果还表明，异步IWFA的性能优于顺序IWFA。异步IWFA使基于认知无线电的AMI通信的投递率和吞吐量分别提高了5.95%和8.67%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2015 IEEE 12th Malaysia International Conference on Communications (MICC)

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