Capacity analysis of based-regular-topologies cognitive 
wireless mesh networks with power control

doi:10.1016/S1005-8885(13)60092-8

中国邮电高校学报(英文) ›› 2013, Vol. 20 ›› Issue (5): 71-78.doi: 10.1016/S1005-8885(13)60092-8

Capacity analysis of based-regular-topologies cognitive wireless mesh networks with power control

寇科昊¹,唐碧华²,刘凯明¹,马涛

1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China 2. Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing 100876, China

收稿日期:2013-03-13 修回日期:2013-06-08 出版日期:2013-10-30 发布日期:2013-10-29
通讯作者: 寇科昊 E-mail:531165960@qq.com
基金资助:
This work was supported by the National Science & Technology Major Project of 2011ZX03001-005-02, the National Natural Science Foundation of China (61272516, 61272518, 61170275), and the China-Canada Project (2010DFA111320).

Capacity analysis of based-regular-topologies cognitive wireless mesh networks with power control

1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China 2. Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2013-03-13 Revised:2013-06-08 Online:2013-10-30 Published:2013-10-29
Contact: Ke-Hao KOU E-mail:531165960@qq.com
Supported by:
This work was supported by the National Science & Technology Major Project of 2011ZX03001-005-02, the National Natural Science Foundation of China (61272516, 61272518, 61170275), and the China-Canada Project (2010DFA111320).

摘要/Abstract

摘要： Capacity analysis is a fundamental and essential work for evaluating the performance of cognitive wireless mesh network (CWMN) which is considered a promising option for the future network. Power control is an efficient way to avoid interference and improve capacity of wireless mesh networks. In this paper, a quantitative result of the per-node average throughput capacity of CWMN with power control is deduced for the first time, which is much helpful for understanding the limitations of CWMN. Firstly, under the large-scale channel fading model and protocol interference model, a closed-form expression for the maximum channel capacity of each node with power control is presented, under the constraint that the interference tolerated by the primary users (PUs) does not exceed a threshold. And then, with the deduced channel capacity result, the per-node average throughput capacity of CWMN is derived based on two regular topologies, i.e. square topology and triangle topology. The simulation results indicate that the capacity is effectively improved with power control, and affected by topology, tolerated interference threshold, the number of cognitive users (CUs) and primary users (PUs).

关键词: capacity, cognitive wireless mesh networks, power control, regular topologies

Abstract: Capacity analysis is a fundamental and essential work for evaluating the performance of cognitive wireless mesh network (CWMN) which is considered a promising option for the future network. Power control is an efficient way to avoid interference and improve capacity of wireless mesh networks. In this paper, a quantitative result of the per-node average throughput capacity of CWMN with power control is deduced for the first time, which is much helpful for understanding the limitations of CWMN. Firstly, under the large-scale channel fading model and protocol interference model, a closed-form expression for the maximum channel capacity of each node with power control is presented, under the constraint that the interference tolerated by the primary users (PUs) does not exceed a threshold. And then, with the deduced channel capacity result, the per-node average throughput capacity of CWMN is derived based on two regular topologies, i.e. square topology and triangle topology. The simulation results indicate that the capacity is effectively improved with power control, and affected by topology, tolerated interference threshold, the number of cognitive users (CUs) and primary users (PUs).

Key words: capacity, cognitive wireless mesh networks, power control, regular topologies

中图分类号:

TN915.65

KOU Ke-hao TANG Bi-hua LIU Kai-ming MA Tao. Capacity analysis of based-regular-topologies cognitive wireless mesh networks with power control [J]. Acta Metallurgica Sinica(English letters), 2013, 20(5): 71-78.

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Capacity analysis of based-regular-topologies cognitive wireless mesh networks with power control

Capacity analysis of based-regular-topologies cognitive wireless mesh networks with power control

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