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Reseach Article

A Recursive Resource Allocation Algorithm for MIMO-OFDMA Systems in Multi-user Context

by Wafa Ben Hassen, Meriem Afif, Sami Tabbane
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 18
Year of Publication: 2012
Authors: Wafa Ben Hassen, Meriem Afif, Sami Tabbane
10.5120/8305-1913

Wafa Ben Hassen, Meriem Afif, Sami Tabbane . A Recursive Resource Allocation Algorithm for MIMO-OFDMA Systems in Multi-user Context. International Journal of Computer Applications. 52, 18 ( August 2012), 1-6. DOI=10.5120/8305-1913

@article{ 10.5120/8305-1913,
author = { Wafa Ben Hassen, Meriem Afif, Sami Tabbane },
title = { A Recursive Resource Allocation Algorithm for MIMO-OFDMA Systems in Multi-user Context },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 18 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number18/8305-1913/ },
doi = { 10.5120/8305-1913 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:38.903255+05:30
%A Wafa Ben Hassen
%A Meriem Afif
%A Sami Tabbane
%T A Recursive Resource Allocation Algorithm for MIMO-OFDMA Systems in Multi-user Context
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 18
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a new resource allocation algorithm for downlink multi-user MIMO-OFDMA systems. The main objective is to maximize the total system capacity and to guarantee the fairness among users with a low complexity. The proposed algorithm is based on a recursive sub-carriers allocation procedure aiming to satisfy Quality of Service (QoS) requirements for each mobile user. Simulation results demonstrate that the proposed algorithm performs well in terms of system capacity and fairness when the number of users in the cell is important closing to the practical case.

References
  1. 3GPP. "Physical Layer Aspects for Evolved Universal Terrestrial Radio Access (UTRA)". Technical Report TR. 25. 814 V. 7. 1. 0, 3rd. Generation Partnership Project, Sep 2006. http://www. 3gpp. org.
  2. F. Akyildiz and and Elias Chavarria Reyes David M. Gutierrez-Estevez. "The Evolution to 4G Cellular Systems: LTE-Advanced". Physical Communications, 3:217–244, 2010. http://dx. doi. org/10. 1016/j. phycom. 2010. 08. 001.
  3. D. Bin, C. C. Ko, and Y. Liang. "An Enhanced Capacity and Fairness Scheme for MIMO-OFDMA Downlink Resource Allocation". In ISCIT '07: International Symposium on Communications and Information Technologies, pages 495–499, Oct 2007.
  4. P. W. C. Chan and R. S. Cheng. "Capacity maximization for Zero-Forcing MIMO-OFDMA Downlink Systems with Multiuser Diversity". IEEE Transactions on Wireless Communications, 6(5):1880–1889, May 2007.
  5. M. Doettling, M. Sternad, G. Klang, J. Von Hafen, and M. Olsson. "Integration of Spatial Processing in the WINNER B3G Air Interface Design". In VTC '06: Proceedings of the IEEE 63rd Vehicular Technology Conference, volume 1, pages 246–250, 2006.
  6. W. B. Hassen and M. Afif. "A Gain-Computation Enhancements Resource Allocation for Heterogeneous Service Flows in IEEE 802. 16m Mobile Networks". International Journal of Digital Multimedia Broadcasting, 2012:1–13, 2012. doi:10. 1155/2012/431958.
  7. IEEE. "Air interface for fixed broadband wireless access systems". Technical Report IEEE 802. 16-2004, Institute of Electrical and Electronics Engineers, Oct 2004.
  8. R. Jain, D. M. Chiu, andW. Hawe. "A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems". CoRR, 1998.
  9. K. B. Letaief and Y. J. Zhang. "Dynamic Multiuser Resource Allocation and Adaptation for Wireless Systems". IEEE Transactions on Wireless Communications, 13(4):38–47, Aug 2006.
  10. T. F. Maciel and A. Klein. "On the Performance, Complexity and Fairness of Suboptimal Resource Allocation for Multi-User MIMO-OFDMA Systems". IEEE Transactions on Vehicular Technology, 59:406–419, Jan 2010.
  11. D. W. K. Ng, E. S. Lo, and R. Schober. "Dynamic Resource Allocation in MIMO-OFDMA Systems with Full-Duplex and Hybrid Relaying". IEEE Transactions on Communications, 60(5):1291–1304, May 2012.
  12. Pratibha, Jagannatham, and Aditya K. "Power allocation for MIMO-OFDM based CR with spatial constraints and CSI uncertainty". In SAM '12: 7th IEEE Sensor Array and Multichannel Signal ProcessingWorkshop, pages 137–140, June 2012.
  13. S. Qiaoyun, T. Hui, D. Kun, W. Shengdong, and Z. Ping. "A Novel Resource Allocation Algorithm for Multiuser Downlink MIMO-OFDMA". In WCNC '08: IEEE Wireless Communications and Networking Conference, pages 1844–1848, March-April 2008.
  14. J. Zhao and Y. Li. "An Efficient Proportional Resource Allocation Algorithm in MIMO-OFDMA Systems". In WiCOM '11: International Conference on Wireless Communications, Networking and Mobile Computing, pages 1– 4, Sep 2011.
Index Terms

Computer Science
Information Sciences

Keywords

OFDMA MIMO sub-carriers allocation capacity fairness computational complexity.