Adaptive Max SNR Packet Scheduling for OFDM Wireless Systems

In this paper, we consider scheduling and resource allocation for a downlink in a wireless OFDM system. If each broadcast sub channel is allocated to a user according to max SNR selection, optimal system throughput is obtained for the cost of a significant loss in fairness among users. As a solution to resolve this issue and in an attempt at reaching a compromise between fairness and throughput, we propose to add to the max SNR scheme a weak control based on user QoS requirements. In this work, user latency between two successive channel accesses is considered as a parameter for the control. The feedback of quantized channel state information (CSI) is proposed to reduce the feedback burden. Performance analysis of the proposed scheme has been presented to illustrate the capacity-fairness-feedback trade-off of the considered scheme compared to max SNR and proportional fair algorithms used as benchmark.

[1]  Ray Jain,et al.  The art of computer systems performance analysis - techniques for experimental design, measurement, simulation, and modeling , 1991, Wiley professional computing.

[2]  Mohamed-Slim Alouini,et al.  Adaptive Modulation over Nakagami Fading Channels , 2000, Wirel. Pers. Commun..

[3]  Alexander M. Haimovich,et al.  Sum-Rate Analysis of Downlink Channels with 1-Bit Feedback , 2007, IEEE Communications Letters.

[4]  Ness B. Shroff,et al.  Opportunistic transmission scheduling with resource-sharing constraints in wireless networks , 2001, IEEE J. Sel. Areas Commun..

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

[6]  Mohamed-Slim Alouini,et al.  Switched-based reduced feedback OFDM multi-user opportunistic scheduling , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[7]  Aria Nosratinia,et al.  Exploiting multiuser diversity with only 1-bit feedback , 2005, IEEE Wireless Communications and Networking Conference, 2005.

[8]  Alexander L. Stolyar,et al.  Optimal utility based multi-user throughput allocation subject to throughput constraints , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[9]  Yong-Hwan Lee,et al.  Opportunistic scheduling with partial channel information in OFDMA/FDD systems , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[10]  B.L. Evans,et al.  A low complexity algorithm for proportional resource allocation in OFDMA systems , 2004, IEEE Workshop onSignal Processing Systems, 2004. SIPS 2004..

[11]  Hong-Chuan Yang,et al.  Multiuser switched diversity transmission , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[12]  Ness B. Shroff,et al.  A framework for opportunistic scheduling in wireless networks , 2003, Comput. Networks.