Resource Allocation for QoS-Aware OFDMA Using Distributed Network Coordination

This paper considers resource allocation for downlink orthogonal frequency-division multiple access (OFDMA). We propose a subcarrier and power-allocation method that differentiates users per service type to fulfill the quality-of-service (QoS) requirements of each user. Network coordination improves the performance of users at the border of the cells and, thus, decreases the minimum sum power for users with guaranteed performance (GP). Best effort (BE) users are then scheduled to maximize their sum capacity. The proposed method only assumes causal coordination between base stations and can be seen as a generalized macro diversity scheme suited for distributed networks. Numerical results show that network coordination increases the ratio of satisfied GP users, as well as the average data rate of BE users.

[1]  Reinaldo A. Valenzuela,et al.  Network coordination for spectrally efficient communications in cellular systems , 2006, IEEE Wireless Communications.

[2]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[3]  Antti Toskala,et al.  Wcdma for Umts , 2002 .

[4]  Jeffrey G. Andrews,et al.  Overcoming interference in spatial multiplexing MIMO cellular networks , 2007, IEEE Wireless Communications.

[5]  John M. Cioffi,et al.  Optimal Resource Allocation for OFDMA Downlink Systems , 2006, 2006 IEEE International Symposium on Information Theory.

[6]  A. Paulraj,et al.  Capacity optimization for Rician correlated MIMO wireless channels , 2005, Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005..

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

[8]  Virtual Bridged,et al.  IEEE Standards for Local and Metropolitan Area Networks: Specification for 802.3 Full Duplex Operation , 1997, IEEE Std 802.3x-1997 and IEEE Std 802.3y-1997 (Supplement to ISO/IEC 8802-3: 1996/ANSI/IEEE Std 802.3, 1996 Edition).

[9]  Kiseon Kim,et al.  QoS aware power allocation for combined guaranteed performance and best effort users in OFDMA systems , 2004, Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, 2004. ISPACS 2004..

[10]  Jean-Claude Belfiore,et al.  Power control in distributed cooperative OFDMA cellular networks , 2008, IEEE Transactions on Wireless Communications.

[11]  Yong Hoon Lee,et al.  Use of linear programming for dynamic subcarrier and bit allocation in multiuser OFDM , 2006, IEEE Transactions on Vehicular Technology.

[12]  Huaiyu Dai,et al.  Cochannel Interference Mitigation and Cooperative Processing in Downlink Multicell Multiuser MIMO Networks , 2004, EURASIP J. Wirel. Commun. Netw..

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

[14]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

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

[16]  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).