DocumentCode
1882953
Title
Capacity of multi-hop wireless network with frequency agile software defined radio
Author
Jia, Juncheng ; Zhuang, Weihua
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
fYear
2011
fDate
10-15 April 2011
Firstpage
41
Lastpage
46
Abstract
With the advance of both hardware and software technologies, the concept of software defined radio (SDR) is becoming more and more popular in the academic and industrial communities. Its popularity has been increased by the recent intensive research of cognitive radio technology, which is built on top of SDR. One of key features of SDR is its capability of frequency agility, which means a single SDR can access multiple channels, subject to a certain total frequency bandwidth (channel span) constraint. Compared with the traditional multiple-radio solutions, the SDR setup has the advantages of higher flexibility and reduced hardware size (cost). In this paper, we investigate the achievable capacity of a wireless network with single-SDR equipped transceivers, especially a multiple-hop network, for any given network flows. We propose new approaches to formulate the single-SDR constraint, which is unique for the derivation of capacity upper bounds. We also propose a heuristic algorithm to obtain a lower bound for the capacity. Both numerical and simulation results are presented to demonstrate the potential capacity for an SDR network and compared it with a multiple-radio network.
Keywords
channel capacity; cognitive radio; frequency agility; frequency hop communication; radio transceivers; software radio; SDR; channel capacity; cognitive radio; frequency agility; heuristic algorithm; multihop wireless network; multiple radio network; software defined radio; transceivers; Availability; Channel allocation; Heuristic algorithms; Optimization; Resource management; Routing; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4577-0249-5
Electronic_ISBN
978-1-4577-0248-8
Type
conf
DOI
10.1109/INFCOMW.2011.5928850
Filename
5928850
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