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Optimal resource allocation techniques for MIMO-OFDMA based cognitive radio networks using integer linear programming

Lookup NU author(s): Dr Kanapathippillai Cumanan

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Abstract

We propose an adaptive resource allocation algorithm for a multiple-input multiple-output (MIMO) orthogonal frequency division multiple access (OFDMA) based downlink cognitive radio network (CRN). The CRN has multiple secondary users (SUs) coexisting with multiple primary users (PUs). The aim is to maximize the total data throughput of SUs while ensuring interference leakage to PUs is below a threshold and quality of services (QoS) for SUs such as data rates and bit error rate (BER) are met. The algorithm optimally allocates radio resources such as subcarrier, spatial beams, powers and bits to each user using an integer linear programming (ILP) framework. The performance of the algorithm has been evaluated using simulation results.

Publication metadata

Author(s): Rahulamathavan Y, Cumanan K, Lambotharan S

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: IEEE Eleventh International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

Year of Conference: 2010

Pages: 1-5

ISSN: 1948-3244

Publisher: IEEE

URL: http://dx.doi.org/10.1109/SPAWC.2010.5670885

DOI: 10.1109/SPAWC.2010.5670885

Library holdings: Search Newcastle University Library for this item

ISBN: 9781424469901

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