Next Article in Journal
Optimisation and Characterisation of Anti-Fouling Ternary SAM Layers for Impedance-Based Aptasensors
Previous Article in Journal
Performance Evaluation of Wearable Sensor Systems: A Case Study in Moderate-Scale Deployment in Hospital Environment
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(10), 24996-25014; doi:10.3390/s151024996

Rate Adaptive Based Resource Allocation with Proportional Fairness Constraints in OFDMA Systems

School of Electronics and Information Engineering, Harbin Institute of Technology, 92 Xidazhi Street, Harbin 150001, China
*
Author to whom correspondence should be addressed.
Academic Editor: Mohamed F. Younis
Received: 25 July 2015 / Revised: 10 September 2015 / Accepted: 23 September 2015 / Published: 25 September 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [1108 KB, uploaded 25 September 2015]   |  

Abstract

Orthogonal frequency division multiple access (OFDMA), which is widely used in the wireless sensor networks, allows different users to obtain different subcarriers according to their subchannel gains. Therefore, how to assign subcarriers and power to different users to achieve a high system sum rate is an important research area in OFDMA systems. In this paper, the focus of study is on the rate adaptive (RA) based resource allocation with proportional fairness constraints. Since the resource allocation is a NP-hard and non-convex optimization problem, a new efficient resource allocation algorithm ACO-SPA is proposed, which combines ant colony optimization (ACO) and suboptimal power allocation (SPA). To reduce the computational complexity, the optimization problem of resource allocation in OFDMA systems is separated into two steps. For the first one, the ant colony optimization algorithm is performed to solve the subcarrier allocation. Then, the suboptimal power allocation algorithm is developed with strict proportional fairness, and the algorithm is based on the principle that the sums of power and the reciprocal of channel-to-noise ratio for each user in different subchannels are equal. To support it, plenty of simulation results are presented. In contrast with root-finding and linear methods, the proposed method provides better performance in solving the proportional resource allocation problem in OFDMA systems. View Full-Text
Keywords: orthogonal frequency division multiple access (OFDMA); wireless sensor networks; rate adaptive; resource allocation; ACO-SPA; proportional fairness orthogonal frequency division multiple access (OFDMA); wireless sensor networks; rate adaptive; resource allocation; ACO-SPA; proportional fairness
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Yin, Z.; Zhuang, S.; Wu, Z.; Ma, B. Rate Adaptive Based Resource Allocation with Proportional Fairness Constraints in OFDMA Systems. Sensors 2015, 15, 24996-25014.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top