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Enhancing Wireless Mesh Network Performance using Cognitive Radio with Smart Antennas

Ramesh Babu, Vikram
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227202720

Abstract Details

2008, MS, University of Cincinnati, Engineering : Electrical Engineering.
Wireless Mesh Networks (WMNs) are believed to revolutionize wireless internet connectivity by economically extending broadband internet over very large areas. In their default state, WMNs operate in the ISM band. Due to severe congestion in this unlicensed band, some of the constituent Mesh Routers (MRs) in a WMN may have over-congested operating conditions. Hence, it is desirable for such MRs to operate on a different band. There exist unused or white spaces in the spectrum used by licensed operators, who are referred to as Primary Users (PUs). Cognitive radio technology is one that can enable MRs in a WMN with poor channel conditions to shift operation to this licensed spectrum. This opportunistic sharing of the white spaces in the licensed spectrum results in higher spectral efficiency as well as reduced traffic volume in the ISM band. Most recent research only considers using omni-directional antenna at each Mesh Client (MC). This is inefficient, especially in the case of a Cognitive WMN (CWMN) as it shifts the operation of an entire cluster of nodes to the primary band and could induce inadmissible interference on the PUs. Our proposed architectural design employs spatial selectivity through smart antennas, encourages load sharing among the numerous MRs in the ISM band, as well as increases throughput with efficient spectrum utilization. We study the interference reduction at the PUs, considering a CWMN with smart antennas embedded in each MC. We compare the scenarios with MCs in a WMN equipped with omni-directional, directional, and smart antennas through extensive simulations and determine their effect on interference caused to the PUs. To reduce interference levels at the PUs further, we propose techniques to regulate the transmission powers of the MCs. Finally, we propose models that significantly improve the spectrum sensing mechanism of a CWMN, through analysis of historical data of PU behavior in accessing the spectrum.
Dharma P. Agrawal (Advisor)
Ali A. Minai (Committee Member)
Wen-Ben Jone (Committee Member)
96 p.
Electrical Engineering; Engineering
Cognitive Radio; Smart Antennas; Wireless Mesh Network; CWMN

Recommended Citations

Citations

  • Ramesh Babu, V. (2008). Enhancing Wireless Mesh Network Performance using Cognitive Radio with Smart Antennas [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227202720

    APA Style (7th edition)

  • Ramesh Babu, Vikram. Enhancing Wireless Mesh Network Performance using Cognitive Radio with Smart Antennas. 2008. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227202720.

    MLA Style (8th edition)

  • Ramesh Babu, Vikram. "Enhancing Wireless Mesh Network Performance using Cognitive Radio with Smart Antennas." Master's thesis, University of Cincinnati, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227202720

    Chicago Manual of Style (17th edition)

ucin1227202720
948
© 2008, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.