Novel Fairness Improved Radio Resource Management Schemes for Best-Effort Service in OFDMA Systems

In this paper, we propose a complete radio resource management procedure for best-effort service in OFDMA systems, which improves the system fairness with graceful throughput degradation compared to the upper bound of the system throughput. By the proposed bandwidth and power allocation algorithms, the user in the worst channel environment has almost the same probability of accessing the system as the user in the best channel environment. Furthermore, a novel sub-channel allocation algorithm is proposed to exploit frequency selectivity and multi-user diversity gains simultaneously in OFDMA systems, which is able to achieve the highest system throughput given each user’s channel environment.

[1]  Deng Pan,et al.  Max-Min Fair Bandwidth Allocation Algorithms for Packet Switches , 2007, 2007 IEEE International Parallel and Distributed Processing Symposium.

[2]  Antonia Maria Tulino,et al.  CTH01-2: Optimum Ergodic Power Allocation for Multiuser OFDM with Arbitrary Signal Constellations , 2006, IEEE Globecom 2006.

[3]  Kwang Bok Lee,et al.  Transmit power adaptation for multiuser OFDM systems , 2003, IEEE J. Sel. Areas Commun..

[4]  Khaled Ben Letaief,et al.  Multiuser OFDM with adaptive subcarrier, bit, and power allocation , 1999, IEEE J. Sel. Areas Commun..

[5]  Yupeng Wang,et al.  Capacity analysis in M-WiMAX uplink considering the effect of adjacent channel interference from WCDMA downlink , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[6]  Jeffrey G. Andrews,et al.  Optimal power allocation in multiuser OFDM systems , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[7]  Antonia Maria Tulino,et al.  Optimum Power Allocation for Multiuser OFDM with Arbitrary Signal Constellations , 2008, IEEE Transactions on Communications.

[8]  John M. Cioffi,et al.  Increase in capacity of multiuser OFDM system using dynamic subchannel allocation , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[9]  A. Robert Calderbank,et al.  Content-Aware Distortion-Fair Video Streaming in Congested Networks , 2009, IEEE Transactions on Multimedia.

[10]  Joachim Speidel,et al.  An efficient waterfilling algorithm for multiple access OFDM , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

[11]  Fan Zhang,et al.  Resource Allocation for Delay Differentiated Traffic in Multiuser OFDM Systems , 2008, IEEE Trans. Wirel. Commun..

[12]  A.M. Tulino,et al.  Mercury/waterfilling for fixed wireless OFDM systems , 2006, 2006 IEEE Radio and Wireless Symposium.

[13]  B. Abolhassani,et al.  QoS Aware Dynamic Resource Allocation in Multiuser OFDM Systems with Priority for Different Services , 2008, 2008 International Wireless Communications and Mobile Computing Conference.

[14]  Dongmei Zhang,et al.  An Internal Scheduling Framework for Management of Best Effort Connections per SS in WiMAX System , 2008, 2008 IEEE Globecom Workshops.

[15]  Ashutosh Sabharwal,et al.  An Axiomatic Theory of Fairness in Network Resource Allocation , 2009, 2010 Proceedings IEEE INFOCOM.

[16]  H. Vincent Poor,et al.  Stability, Fairness, and Performance: A Flow-Level Study on Nonconvex and Time-Varying Rate Regions , 2009, IEEE Transactions on Information Theory.

[17]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[18]  Wei Tu,et al.  Distributed scheduling scheme for video streaming over multi-channel multi-radio multi-hop wireless networks , 2010, IEEE Journal on Selected Areas in Communications.