Analysis of Weighted Proportional Fair Resource Allocation for Uplink OFDMA

We investigate in this paper the resource allocation problem in an uplink OFDMA multiuser system. We focus on the Proportional Fairness approach which aims to maximize the system throughput and while ensuring fairness between users. In this paper, we propose a Weighted Proportional Fair algorithm for resource allocation that introduces priorities between users to better exploit good channel conditions in the cell center. We also perform a theoretical analysis to compare both standard and weighted proportional fair algorithms. Simulation results, compared to existing algorithms, show that the proposed algorithm approaches the max sum rate upper bound but still maintains sufficient fairness between users.

[1]  Zaher Dawy,et al.  Achieving the Nash bargaining solution in OFDMA uplink using distributed scheduling with limited feedback , 2011 .

[2]  S. Shenker Fundamental Design Issues for the Future Internet , 1995 .

[3]  Jianwei Huang,et al.  Scheduling and Resource Allocation in OFDMA Wireless Systems , 2010 .

[4]  Ellen W. Zegura,et al.  Utility max-min: an application-oriented bandwidth allocation scheme , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[5]  Frank Kelly,et al.  Rate control for communication networks: shadow prices, proportional fairness and stability , 1998, J. Oper. Res. Soc..

[6]  Adam Wolisz,et al.  The potential of dynamic power and sub-carrier assignments in multi-user OFDM-FDMAa cells , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[7]  Chao Yang,et al.  A Weighted Proportional Fair scheduling to maximize best-effort service utility in multicell network , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[8]  Geoffrey Ye Li,et al.  Cross-layer optimization for OFDM wireless networks-part I: theoretical framework , 2005, IEEE Trans. Wirel. Commun..

[9]  Geoffrey Ye Li,et al.  Cross-layer optimization for OFDM wireless networks-part II: algorithm development , 2005, IEEE Transactions on Wireless Communications.

[10]  Emery N. Brown,et al.  Sequences of Random Variables , 2014 .

[11]  Fernando Casadevall,et al.  Rate Adaptive Resource Allocation and Utility-Based Packet Scheduling in Multicarrier Systems , 2011 .

[12]  Youngnam Han,et al.  A Proportional Fairness Algorithm with QoS Provision in Downlink OFDMA Systems , 2006, IEEE Communications Letters.