DocumentCode
2669129
Title
Optimal Power Control for Multi-Hop Software Defined Radio Networks
Author
Shi, Yi ; Hou, Y. Thomas
Author_Institution
Virginia Tech., Blacksburg
fYear
2007
fDate
6-12 May 2007
Firstpage
1694
Lastpage
1702
Abstract
Software defined radio (SDR) is a revolution in radio technology that promises unprecedented flexibility in radio communications and is viewed as an enabling technology for dynamic spectrum access. This paper investigates how to support user communication sessions by jointly considering power control, scheduling, and flow routing for an SDR-based multi-hop wireless network. We develop a formal mathematical model for scheduling feasibility under the influence of power control. This model extends existing protocol interference model for wireless networks and can be used for a broad class of problems where power control (and thus transmission range and interference range) is part of the optimization space. We formulate a cross-layer optimization problem encompassing power control, scheduling, and flow routing. Subsequently, we develop an efficient solution procedure based on branch-and-bound technique and convex hull relaxation. Using simulation results, we demonstrate the efficacy of the solution procedure and offer insights on the impact of power control on scheduling feasibility, bandwidth efficiency, and bandwidth-footprint product (BFP).
Keywords
convex programming; routing protocols; scheduling; software radio; telecommunication control; tree searching; bandwidth-footprint product; branch-and-bound technique; convex hull relaxation; cross-layer optimization problem; dynamic spectrum access; flow routing; formal mathematical model; multihop software defined radio network; optimal power control; protocol interference model; radio communication; scheduling; Access protocols; Interference; Mathematical model; Power control; Radio communication; Routing; Software radio; Spread spectrum communication; Wireless application protocol; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM 2007. 26th IEEE International Conference on Computer Communications. IEEE
Conference_Location
Anchorage, AK
ISSN
0743-166X
Print_ISBN
1-4244-1047-9
Type
conf
DOI
10.1109/INFCOM.2007.198
Filename
4215780
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