• Jun 04, 2019 News!IJIEE Vol. 9, No. 2 issue has been published online!   [Click]
  • May 14, 2019 News!Vol.7, No.5-Vol.8, no.2 has been indexed by EI (Inspec).   [Click]
  • Apr 15, 2019 News!Papers published in Vol.8, No.1-No.4 have all received dois from Crossref.
General Information
    • ISSN: 2010-3719 (Online)
    • Abbreviated Title: Int. J. Inf. Electron. Eng.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Executive Editor: Jennifer Zeng
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET), EBSCO.
    • E-mail ijiee@ejournal.net

University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, The value of IJIEE will be well recognized among the readers in the related field."

IJIEE 2011 Vol.2(1): 83-87 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2012.V2.59

Joint Detection and User Selection Algorithms in Cognitive Wireless Communication System

Fazhong Liu, Mingming Li, Lizhu Zhai, and Chong Li

Abstract—Cognitive wireless networks usually utilize large numbers of cognitive nodes to collect cognitive information of the authorized frequency bands and do automatic configuration to finish spectrum sharing processes. How to realize joint detection and choose appropriate cognitive nodes to achieve opportunity type spectrum access should be considered in a cognitive wireless communication system. In this paper, we present a joint detection algorithm to finish cognitive information collection and one user selection scheme to minimize co-channel interference for the downlink of a cognitive mesh network with the coexistence of many primary nodes and cognitive nodes. In the joint detection strategy, the central node controls more than one cognitive user to jointly detect the primary channel. While the effective user selection algorithm is proposed to choose a group of cognitive nodes while maximizing the sum rate of primary nodes and satisfying the co-channel interference constraint from the cognitive nodes to primary nodes, meanwhile, the total transmitted power constraint for primary access point (PAP) as well as the Signal to Interference and Noise Ratio of the cognitive nodes is bigger than a given threshold γ. Simulation results show that our suboptimal algorithm is able to achieve high sum rate throughput with low complexity.

Index Terms—Co-channel interference, cognitive wireless communication, joint detection, user selection.

Fazhong Liu is in College of Computing and Communication Engineering, Graduate University of the Chinese Academy of Sciences, Beijing, China (e-mail: liufazhong@gmail.com).
Mingming Li works in SRRC of China, Beijing, China (e-mail: limingyue-i@gmail.com)
Lizhu Zhai works in China Unicom, Beijing, China (e-mail: limingming_i@gmail.com).
Chong Li is a member of CMCC, Jinan, China (e-mail:mingyue6681@sohu.com).


Cite: Fazhong Liu, Mingming Li, Lizhu Zhai, and Chong Li, "Joint Detection and User Selection Algorithms in Cognitive Wireless Communication System," International Journal of Information and Electronics Engineering vol. 2, no. 1, pp. 83-87, 2011.

Copyright © 2008-2019. International Journal of Information and Electronics Engineering. All rights reserved.
E-mail: ijiee@ejournal.net