Fairness-Based Resource Allocation with Minimum Rate Guarantee in a Multiuser OFDMA System

Article Preview

Abstract:

We propose a resource allocation scheme based on Proportional Fairness (PF) for minimum bit rate guarantee in a multiuser, frequency-selective frame-based OFDMA system. Instead of considering subcarrier-and-bit allocation, we consider a more realistic scheduling which is performed at the beginning of each frame, while allowing time-slots multiplexing among active users. Our scheme aims to guarantee different minimum bit rates to different users, while throughput fairness among users is maintained. We formulate the optimization problem based on a multichannel proportional fairness objective function. Minimum bit rate guarantee is taken as the constraint. The optimization problem is solved by using the Lagrange multiplier method. Then, we use our fast cross-layer approach integrated to our optimization solution to schedule packets from finitely backlogged queues. Simulations with user mobility are conducted. The results show that the proposed scheme can serve users with satisfied minimum bit rate requirement. Furthermore, the simulation results also confirm throughput fairness among users.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 931-932)

Pages:

947-951

Citation:

Online since:

May 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] IEEE 802. 16e Standard-Local and Metropolitan Area Networks – Part 16: Air Interface for Fixed and Mobile Broadband Wireless Access Systems, IEEE 802. 16e, (2005).

DOI: 10.1109/ieeestd.2004.226664

Google Scholar

[2] J. Kim, D. Kim, Y. Han, Proportional fair scheduling algorithm for SC-FDMA in LTE uplink, Proceeding of IEEE Global Communication Conference 2012, Anaheim, CA, USA, December (2012).

DOI: 10.1109/glocom.2012.6503881

Google Scholar

[3] LTE PHY Layer Measurement Guide, Information on http: /www. jdsu. com/test.

Google Scholar

[4] J. Laiho, A. Wacker, and T. Novosad, Radio Network Planning and Optimisation for UMTS, 2nd ed. Wiley, (2006).

DOI: 10.1002/9780470031407

Google Scholar

[5] M. Khabazian, O. Kubbart, H. Hassanein, A fairness-based preemption algorithm for LTE-advanced, Proceeding of IEEE Global Communication Conference 2012, Anaheim, CA, USA, December (2012).

DOI: 10.1109/glocom.2012.6503966

Google Scholar

[6] A. Jalali, R. Padovani, and R. Pankaj, Data throughput of CDMA HDR a high efficiency-high data rate personal communication wireless system, Proceeding of IEEE Vehicular Technology Conference (VTC 2000-Spring), vol. 3, Tokyo, Japan, May 2000, pp.1854-1858.

DOI: 10.1109/vetecs.2000.851593

Google Scholar

[7] X. Qiu and K. Chawla, On the performance of adaptive modulation in cellular system, IEEE Transaction on Communication, vol. 47, no. 6, p.895–75, June (1999).

Google Scholar

[8] J. Andrews, A. Ghosh, and R. Muhamed, Fundamentals of WiMAX: Understanding Broadband Wireless Networking, Prentice Hall, (2007).

Google Scholar

[9] H. Kim and Y. Han, A proportional fair scheduling for multicarrier transmission systems, IEEE Communications Letters, vol. 9, no. 3, p.210–212, (2005).

DOI: 10.1109/lcomm.2005.03014

Google Scholar

[10] C. Y. Wong, R. S. Cheng, K. B. Lataief, and R. D. Murch, Multiuser OFDM with adaptive subcarrier, bit, and power allocation, IEEE Journal on Selected Areas in Communications, vol. 17, no. 10, pp.1747-1758, (1999).

DOI: 10.1109/49.793310

Google Scholar

[11] N. Ruangchaijatupon and Y. Ji, Resource allocation for guaranteed service in OFDMA based systems, Proceeding of IEEE Wireless Communications & Networking Conference 2009, Budapest, Hungary, April (2009).

DOI: 10.1109/wcnc.2009.4917946

Google Scholar

[12] R. Pitic and A. Capone, An opportunistic scheduling scheme with minimum data-rate guarantees for OFDMA, Proceeding of IEEE Wireless Communications & Networking Conference 2008, Las Vegas, NV, USA, March-April (2008).

DOI: 10.1109/wcnc.2008.306

Google Scholar

[13] R. K. Jain, The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling, Wiley, April (1991).

Google Scholar