CHEN Xiao-mao(陈小毛), OUYANG Shan(欧阳缮), XIAO Hai-lin(肖海林)
(Key Laboratory of Cognitive Radio and Information Processing(Guilin University of Electronic Technology),Ministry of Education, Guilin 541004, China)
Abstract： A resource allocation algorithm with quality of service (QoS) guarantees in a cellular orthogonal frequency division multiple access (OFDMA) network is proposed. The algorithm is a modified water-filling algorithm. In the first phase, power and subcarriers are allocated together, and in the second phase, users’ minimum data rate requirements are met, while the remaining resources are allocated in order to maximize sum rate. It is a cell-level algorithm, and its main advantages are low implementation complexity and capacity of maintaining higher ratio of QoS satisfying users' requirements. Simulation results show that this scheme outperforms other proportional resource allocation schemes.
Key words：resource allocation; orthogonal frequency division multiple access（OFDMA）; water-filling; complexity
CLD number： TN929.531 Document code： A
Article ID： 1674-8042(2013)02-0163-04 doi： 10.3969/j.issn.1674-8042.2013.02.015
References
[1] 3GPP TS36.331 V9.2.0 E-UTRA radio resource control (RRC) protocol specification, 2010.
[2] YIN Hu-jun, Alamouti S. OFDMA: a broadband wireless access technology. In: Proceedings of 2006 IEEE Sarnoff Symposium, 2006: 1-4.
[3] Letaief K B, ZHANG Ying-jun. Dynamic multiuser resource allocation and adaptation for wireless systems. IEEE Wireless Communications, 2006, 13(4): 38-47.
[4] Jang J, Lee K B. Transmit power adaptation for multiuser OFDM systems. IEEE Journal on Selected Areas in Communications, 2003, 21(2): 171-178.
[5] Wong C Y, Cheng R S, Lataief K B, et al. Multiuser OFDM with adaptive subcarrier, bit and power allocation. IEEE Journal on Selected Areas in Communications, 1999, 17(10): 1747-1758.
[6] Lee T H, Huang Y W. Resource allocation achieving high system throughput with QoS support in OFDMA-based system. IEEE Transactions on Communications, 2012, 60(3): 851-861.
[7] YIN Hu-jun, LIU Hui. An efficient multiuser loading algorithm for OFDM-based broadband wireless systems. In: Proceedings of 2000 IEEE Global Telecommunications Conference (GLOBECOM'00), 2000, 1: 103-107.
[8] Rhee W, Cioffi J M. Increase in capacity of multiuser OFDM system using dynamic subchannel allocation. In: Proceedings of 2000 IEEE Vehicular Technology Conference (VTC 2000), Tokyo, Japan, 2000, 2: 1085-1089.
[9] SHEN Zu-kang, Andrews J G, Evans B L. Optimal power allocation in multiuser OFDM systems. In: Proceedings of 2003 IEEE Global Telecommunications Conference (GLOBECOM'03), 2003, 1: 337-341.
[10] SHEN Zu-kang, Andrews J G, Evans B L. Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints. IEEE Transactions on Wireless Communications, 2005, 4(6): 2726-2737.
[11] Wong I C, SHEN Zu-kang, Evans B L, et al. A low complexity algorithm for proportional resource allocation in OFDMA systems. In: Proceedings of 2004 IEEE Workshop on Signal Processing Systems(SIPS 2004), 2004: 1-6.
[12] Del Ser J, Bilbao M N, Gil-López S, et al. Iterative power and subcarrier allocation in rate-constrained orthogonal multicarrier downlink systems based on hybrid harmony search heuristics. Engineering Applications of Artificial Intelligence, 2011, 24(5): 748-756.
[13] Ahmadi H, Chew Y H. Subcarrier-and-bit allocation in multiclass multiuser single-cell OFDMA systems using an ant colony optimization based evolutionary algorithm. In: Proceedings of 2010 IEEE Wireless Communications and Networking Conference (WCNC2010), 2010: 1-5.
[14] TENG Ying-lei, ZHANG Yong, SONG Mei, et al. Genetic algorithm based adaptive resource allocation in OFDMA system for heterogeneous traffic. In: Proceedings of IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications, 2009: 2060-2064.
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