Dynamic spectrum management: Optimization and game theoretic formulations

Zhi Quan Luo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Achieving efficient spectrum usage is a major challenge in the management of a complex communication system. With multiple users having conflicting objectives who share a common spectrum, some of whom may be hostile, careful resource allocation is essential for the effective utilization of the available frequency. Conventionally, spectrum sharing is achieved via orthogonal transmission schemes whereby the available frequency band is divided into multiple tones (or bands) which are pre-assigned to all the users on a non-overlapping basis. However, such "static orthogonal spectrum sharing" approach can lead to low bandwidth utilization. In fact, various recent spectrum occupancy studies have demonstrated that a typical geographical region has wide swathes of frequencies (up to 2/3 of the allocated radio spectrum) that are not used at any given time. While the utilization of spectrum varies with time, a significant amount of spectrum is available for opportunistic wireless applications among secondary users. Spectrum-sensing cognitive radio technology allows devices to dynamically and automatically seek out and use the optimum frequencies and bandwidth. To take advantage of the unused spectrum capacity, the users dynamically adapt to the spectral environment and change transmission or reception parameters on the fly. This allows for more efficient wireless communication without causing harmful interference with legacy systems or other devices using the same frequency bands. In these systems all users are allowed to use all the tones simultaneously. In comparison with the static spectrum sharing policies, this setup offers significantly greater freedom in utilizing the spectrum. A major challenge in the development of opportunistic spectrum sharing technology is to devise efficient algorithms for the distributed management of frequency slots and transmit power. This tutorial will describe various optimization and game theoretic formulations of the dynamic spectrum management and present some recent results on its complexity, duality and approximation.

Original languageEnglish (US)
Title of host publicationInternet and Network Economics - 4th International Workshop, WINE 2008, Proceedings
Pages16
Number of pages1
DOIs
StatePublished - 2008
Event4th International Workshop on Internet and Network Economics, WINE 2008 - Shanghai, China
Duration: Dec 17 2008Dec 20 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5385 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Workshop on Internet and Network Economics, WINE 2008
Country/TerritoryChina
CityShanghai
Period12/17/0812/20/08

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