A Low Complexity Sub-Optimal Approach to Dynamic Spectrum Allocation for White Space Devices With Heterogeneous Bandwidth Requirements

A Low Complexity Sub-Optimal Approach to Dynamic Spectrum Allocation for White Space Devices With Heterogeneous Bandwidth Requirements
Title:
A Low Complexity Sub-Optimal Approach to Dynamic Spectrum Allocation for White Space Devices With Heterogeneous Bandwidth Requirements
Other Titles:
IEEE Communications Letters
DOI:
10.1109/LCOMM.2016.2616863
Publication Date:
01 January 2017
Citation:
Z. Huang, Y. Ma, Y. Li and G. Wen, "A Low Complexity Sub-Optimal Approach to Dynamic Spectrum Allocation for White Space Devices With Heterogeneous Bandwidth Requirements," in IEEE Communications Letters, vol. 21, no. 1, pp. 188-191, Jan. 2017. doi: 10.1109/LCOMM.2016.2616863
Abstract:
This letter considers the decision-making method of dynamic spectrum allocation by a spectrum manager in a centralized white space cognitive radio communication network with various available frequency fragments and heterogeneous bandwidth requests. To achieve low complexity practical solution to this problem, we propose a hybrid sub-optimal dynamic programming-based algorithm. The performance of the proposed solution is compared with the optimal one and other alternative solutions. The numeric results show that the proposed solution achieves spectrum efficiency close to the optimal one and the complexity is considerably reduced to as compared with that of the optimal solution .
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PublisherCopyrights
Funding Info:
Description:
(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
ISSN:
1089-7798
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