Citation
Scheduling in Wireless OFDMA-TDMA Networks using Variable Neighborhood Search Metaheuristic. In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium, pages 55-64, 2013.
Paper
Abstract
In this paper, we present a hybrid resource allocation model for OFDMATDMA wireless networks and an algorithmic framework using a Variable Neighborhood Search metaheuristic approach for solving the problem. The model is aimed at maximizing the total bandwidth channel capacity of an uplink OFDMA-TDMA network subject to user power and subcarrier assignment constraints while simultaneously scheduling users in time. As such, the model is best suited for non-real time applications where subchannel multiuser diversity can be further exploited simultaneously in frequency and in time domains. The VNS approach is constructed upon a key aspect of the proposed model, namely its decomposition structure. Our numerical results show tight bounds for the proposed algorithm, e.g. less than 2% in most of the instances. Finally, the bounds are obtained at a very low computational cost.
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Bibtex
@INPROCEEDINGS{2013-055-064-P, author = {P. Adasme and A. Lisser and C. Wang and I. Soto},
title = {Scheduling in Wireless OFDMA-TDMA Networks using Variable Neighborhood Search Metaheuristic},
booktitle = {In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium},
year = {2013},
editor = {G. Kendall and B. McCollum and G. {Venden Berghe}},
pages = {55--64},
note = {Paper},
abstract = { In this paper, we present a hybrid resource allocation model for OFDMATDMA wireless networks and an algorithmic framework using a Variable Neighborhood Search metaheuristic approach for solving the problem. The model is aimed at maximizing the total bandwidth channel capacity of an uplink OFDMA-TDMA network subject to user power and subcarrier assignment constraints while simultaneously scheduling users in time. As such, the model is best suited for non-real time applications where subchannel multiuser diversity can be further exploited simultaneously in frequency and in time domains. The VNS approach is constructed upon a key aspect of the proposed model, namely its decomposition structure. Our numerical results show tight bounds for the proposed algorithm, e.g. less than 2% in most of the instances. Finally, the bounds are obtained at a very low computational cost.},
owner = {Graham},
timestamp = {2017.01.16},
webpdf = {2013-055-064-P.pdf} }