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Fairness based Improved Subcarrier Allocation Algorithms for OFDMA based Next Generation Networks

by Rohit Sharma, Manoranjan Rai Bharti, Kamal Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 7
Year of Publication: 2012
Authors: Rohit Sharma, Manoranjan Rai Bharti, Kamal Singh
10.5120/7203-9984

Rohit Sharma, Manoranjan Rai Bharti, Kamal Singh . Fairness based Improved Subcarrier Allocation Algorithms for OFDMA based Next Generation Networks. International Journal of Computer Applications. 47, 7 ( June 2012), 41-45. DOI=10.5120/7203-9984

@article{ 10.5120/7203-9984,
author = { Rohit Sharma, Manoranjan Rai Bharti, Kamal Singh },
title = { Fairness based Improved Subcarrier Allocation Algorithms for OFDMA based Next Generation Networks },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 7 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 41-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number7/7203-9984/ },
doi = { 10.5120/7203-9984 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:41:17.870699+05:30
%A Rohit Sharma
%A Manoranjan Rai Bharti
%A Kamal Singh
%T Fairness based Improved Subcarrier Allocation Algorithms for OFDMA based Next Generation Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 7
%P 41-45
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multiuser Orthogonal frequency division multiplexing (MU-OFDM) is one of the promising techniques for future cellular and wireless networks for achieving high downlink capacities. The objective of the next generation cellular and wireless networks, which are based on (MU-OFDM) is to increase the network efficiency by maximizing the total throughput of the system and minimizing the overall transmit power for a given quality of service (QOS). The sum capacity of MU-OFDM is maximized when each subchannel is assigned to the user with the best channel-to-noise ratio for that subchannel. Ever increasing demand for high throughput, low delay and low Outage probability can be met by using Adaptive Resource Allocation in OFDM Technology. In optimal resource allocation algorithms the subcarrier and power allocation should be done simultaneously but it is computationally complex. In order to reduce the complexity of resource allocation algorithms the subcarrier and power allocation is done separately and this is called sub-optimal subcarrier allocation and sub-optimal power allocation. Z. Shen et al. in [9] has given both sub-optimal subcarrier allocation and sub-optimal power allocation algorithms. In this paper we have proposed two methods of subcarrier allocation based on subcarrier allocation method in [9], and compared them with subcarrier allocation algorithm of [9]. Comparison is made between subcarrier allocation algorithms only by considering equal power distribution among subcarriers instead of sub-optimal power allocation scheme given in [9]. The simulation results show the improvement in the sum capacity (total data rate achieved) with the proposed methods of subcarrier allocation over the subcarrier allocation in [9].

References
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  10. Rohit Sharma and Manoranjan Rai Bharti, "Adaptive Resource Allocation with Proportional Rate Constraints for OFDMA Based Next Generation Networks," IJCA Special Issue on Communication and Networks comnetcn(1):40-43, December 2011. Published by Foundation of Computer Science, New York, USA.
Index Terms

Computer Science
Information Sciences

Keywords

Orthogonal Frequency Division Multiplexing Sum Capacity Fairness Subcarrier Allocation

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