多天线认知无线电网络联合资源管理方法

doi:10.3969/j.issn.1001-2400.2011.04.004

Abstract

Abstract:

This paper designs signal processing algorithms at transmitter and receiver ends jointly in multi-antenna cognitive radio networks. Accordingly the cognitive system could coexist with the primary in one occupied authorized frequency channel without interfering with the primary. Based on the algorithms we devise a spatio-temporal resource model, and then propose a joint resource management method. Simulation results show that compared with non-coexistent method, the proposed scheme could effectively improve the performance of the cognitive system on the premise that cognitive transmission imposes no interference on the primary.

Key words: cognitive radio, multiple antennas, precoding, blocking probability

CLC Number:

TN929.5

LI Zhao;ZHAO Linjing;LIU Qin. Joint resource management in multi-antenna cognitive radio networks[J].J4, 2011, 38(4): 20-25+37.

References

［1］ Krenik W, Batra A. Cognitive Radio Techniques for Wide Area Networks ［C］//Design Automation Conf (DAC'05). Anaheim: ACM Press, 2005: 409-412.
［2］ Mitola J. Cognitive Radio for Flexible Mobile Multimedia Communication ［C］//IEEE Int Workshop Mobile Multimedia Commun. San Diego: IEEE Press, 1999: 3-10.
［3］ Mitola J, Maguire G Q. Cognitive Radios: Making Software Radios More Personal ［J］. IEEE Personal Commun, 1999, 6(4): 13-18.
［4］ Haykin S. Cognitive Radio: Brain-empowered Wireless Communications ［J］. IEEE J Select Areas Commun, 2005, 23(2): 201-220.
［5］ Devroye N, Vu M, Tarokh V. Cognitive Radio Networks ［J］. IEEE Sig Process Mag, 2008, 25(6): 12-23.
［6］ Marojevic V, Salazar J, Revés X, et al. Resource Modeling for a Joint Resource Management in Cognitive Radio ［C］//IEEE Int Conf on Commun. Beijing: IEEE Press, 2008: 4175-4180.
［7］ Scutari G, Palomar D P, Barbarossa S. Cognitive MIMO Radio: Competitive Optimality Design Based on Subspace Projections ［J］. IEEE Signal Processing Mag, 2008, 25(6): 46-59.
［8］ Zhang R, Liang Y. Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks ［J］. IEEE J Select Areas in Commun, 2008, 2(1): 88-102.
［9］ Hamdi K, Zhang W, Letaief K B. Low-Complexity Antenna Selection and User Scheduling in Cognitive MIMO Broadcast Systems ［C］//IEEE Int Conf on Commun. Beijing: IEEE Press, 2008: 4038-4042.
［10］ Zhao Q, Tong L, Swami A, et al. Decentralized Cognitive MAC for Opportunistic Spectrum Access in Ad Hoc Networks: A POMDP Framework ［J］. IEEE J Select Areas in Commun, 2007, 25(3): 589-600.
［11］李钊, 杨家玮, 赵林靖. MU-MIMO下行链路双阈值有限反馈机会通信策略［J］. 西安电子科技大学学报, 2010, 37(4): 581-586.
Li Zhao, Yang Jiawei, Zhao Linjing. Double Thresholds Opportunistic Transmission Scheme in MU-MIMO Downlink with Limited Feedback ［J］. Journal of Xidian University, 2010, 37(4): 581-586.
［12］ Vucetic B, Yuan Jinhong. Space-Time Coding ［M］. Chichester: John Wiley ＆ Sons Ltd, 2004.
［13］ Zhao Li, Liu Qin, Zhao Linjing. Space Division Multiplexing Aided Opportunistic Spectrum Access for Cognitive Radio Networks ［C］//IEEE Intern Conf on Advanced Information Networking and Applications. Singapore: IEEE Press, 2011: 232-237.

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Joint resource management in multi-antenna cognitive radio networks

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