Weitere Artikel dieser Ausgabe durch Wischen aufrufen
Adaptive resource allocation has been shown to provide substantial performance gain in OFDMA-based wireless systems, such as WiMAX, when full channel state information (CSI) is available at the transmitter. However, in some fading environments (e.g., fast fading), there may not be a feedback link sufficiently fast to convey the CSI to the transmitter. In this paper, we consider resource allocation strategies for downlink multiuser mobile WiMAX systems, where the transmitter has only the channel distribution information (CDI), but no knowledge of the instantaneous channel realization. We address the problem of subchannel assignment and power allocation, to maximize the ergodic weighted-sum rate under long-term fairness, minimum data rate requirement and power budget constraints. This problem is formulated as a nonlinear stochastic constrained optimization problem. We provide an analytical solution based on the Lagrange dual decomposition framework. The proposed method has a complexity of (KM) for K users and M subchannels. Simulation results are provided to compare the performance of this method with other allocation schemes and to illustrate the tradeoff between maximized weighted-sum rate and the constraints.
WiMAX Forum : Mobile WiMAX—part I: a technical overview and performance evaluation. March 2006.
WiMAX Forum : A comparative analysis of mobile WiMAX deployment alternatives in the access networks. May 2007.
Pietrzyk S: OFDMA for Broadband Wireless Access. Artech House, London, UK; 2006.
Wong CY, Tsui CY, Cheng RS, Letaief KB: A real-time sub-carrier allocation scheme for multiple access downlink OFDM transmission. Proceedings of the 50th IEEE Vehicular Technology Conference (VTC '99), September 1999, Amsterdam, The Netherlands 2: 1124-1128.
Ergen M, Coleri S, Varaiya P: Qos aware adaptive resource allocation techniques for fair scheduling in OFDMA based broadband wireless access systems. IEEE Transactions on Broadcasting 2003, 49(4):362-370. 10.1109/TBC.2003.819051 CrossRef
Kivanc D, Li G, Liu H: Computationally efficient bandwidth allocation and power control for OFDMA. IEEE Transactions on Wireless Communications 2003, 2(6):1150-1158. 10.1109/TWC.2003.819016 CrossRef
Damji N, Le-Ngoc T: Adaptive downlink resource allocation strategies for real-time data services in OFDM cellular systems. EURASIP Journal on Wireless Communications and Networking 2006, 2006:-11.
Sartenaer T, Vandendorpe L, Louveaux J: Balanced capacity of wireline multiuser channels. IEEE Transactions on Communications 2005, 53(12):2029-2042. 10.1109/TCOMM.2005.860106 CrossRef
Sartenaer T, Louveaux J, Vandendorpe L: Balanced capacity of wireline multiple access channels with individual power constraints. IEEE Transactions on Communications 2008, 56(6):925-936. CrossRef
Wong IC, Shen Z, Evans BL, Andrews JG: A low complexity algorithm for proportional resource allocation in OFDMA systems. Proceedings of IEEE Workshop on Signal Processing Systems (SiPS '04), October 2004, Austin, Tex, USA 1-6.
Zhang X, Zhou E, Zhu R, Liu S, Wang W: Adaptive multiuser radio resource allocation for OFDMA systems. Proceedings of IEEE Global Telecommunications Conference (GLOBECOM '05), November 2005, St. Louis, Mo, USA 6: 3846-3850.
Han Z, Ji Z, Liu KJR: Fair multiuser channel allocation for OFDMA networks using Nash bargaining solutions and coalitions. IEEE Transactions on Communications 2005, 53(8):1366-1376. 10.1109/TCOMM.2005.852826 CrossRef
Yao Y, Giannakis GB: Rate-maximizing power allocation in OFDM based on partial channel knowledge. IEEE Transactions on Wireless Communications 2005, 4(3):1073-1083. CrossRef
Brah F, Vandendorpe L, Louveaux J: Constrained resource allocation in OFDMA downlink systems with partial CSIT. Proceedings of IEEE International Conference on Communications (ICC '08), May 2008, Beijing, China 4144-4148.
Ng CTK, Goldsmith AJ: Capacity and power allocation for transmitter and receiver cooperation in fading channels. Proceedings of IEEE International Conference on Communications (ICC '06), July 2006, Istanbul, Turkey 8: 3741-3746.
Abramowitz M, Stegun I: Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. Dover, New York, NY, USA; 1964. MATH
Bertsekas DP: Nonlinear Programming. 2nd edition. Athena Scientific, Boston, Mass, USA; 1999. MATH
Yu W, Lui R: Dual methods for nonconvex spectrum optimization of multicarrier systems. IEEE Transactions on Communications 2006, 54(7):1310-1322. CrossRef
Recommendation ITU-R M.1225 : Guidelines for evaluation of radio transmission technologies for IMT-2000. 1997.
- CDIT-Based Constrained Resource Allocation for Mobile WiMAX Systems
- Springer International Publishing
EURASIP Journal on Wireless Communications and Networking
Elektronische ISSN: 1687-1499
Neuer Inhalt/© ITandMEDIA, Best Practices für die Mitarbeiter-Partizipation in der Produktentwicklung/© astrosystem | stock.adobe.com