MIMO波束形成通信系统有效容量分析

doi:10.3969/j.issn.1001-2400.2014.01.007

Abstract

Abstract:

Effective capacity describes the rate upper bound of the communication system under the quality of service(QoS) limitation. While the foregoing performance analysis focuses mainly on the single input single output and multiple input single output systems, this paper considers the effective capacity of the multiple input multiple output(MIMO) beamforming scheme. Given that the modulation(M-QAM or M-PSK) is restricted, we investigate the representative transmission scheme of MIMO beamforming: maximal ratio combining transmission, for which the closed-form formula of effective capacity is derived. Simulation results not only demonstrate the effectiveness of our performance analysis, but also show the relationship between effective capacity and average signal-to-noise ratio as well as the relationship between effective capacity and QoS parameter for various antenna configurations.

Key words: effective capacity, multiple input multiple output(MIMO), beamforming

GUO Xiaobo;MO Daihui;WANG Lifeng;YI Kechu. Effective capacity analysis of MIMO beamforming[J].J4, 2014, 41(1): 34-37.

References

［1］ Wu D P, Negi R. Effective Capacity: a Wireless Link Model for Support of Quality of Service［J］. IEEE Transactions on Wireless Communications, 2003, 2(4): 630-643.
［2］ Tang J, Zhang X. Quality-of-Service Driven Power and Rate Adaptation over Wireless Links［J］. IEEE Transactions on Wireless Communications, 2007, 6(8): 3058-3068.
［3］ Tang J, Zhang X. Quality-of-Service Driven Power and Rate Adaptation for Multi-channel Communicatons over Wireless Links［J］. IEEE Transacations on Wireless Communications, 2007, 6(8): 3058-3068.
［4］ Matthaiou M, Alexandropoulos G C, Ngo H Q, et al. Analytical Framework for the Effective Rate of MISO Fading Channels［J］. IEEE Transacations on Communications, 2012, 60(6): 1741-1751.
［5］ Zhong C J, Ratnarajah T, Wong K K, et al. Effective Capacity of Correlated MISO Channels［C］//IEEE International Conference on Communications. Piscataway: IEEE, 2011: 5962955.
［6］ Guo X B, Dong L, Yang H. Performance Analysis for the Effective Rate of Correlated MISO Fading Channels［J］. Electronics Letters, 2012, 48(24): 1564-1565.
［7］ Gursoy M C. MIMO Wireless Communications Under Statistical Queueing Constraints［J］. IEEE Transacations on Information Theory, 2011, 57(9): 5897 -5917.
［8］刘蓓, 邱玲. 时变信道下基于有效容量的OFDMA系统资源分配方案［J］. 电子与信息学报, 2011, 33(10): 2312-2316.
Liu Bei, Qiu Ling. Effective Capacity Based Resource Allocation Scheme in OFDMA for Time-varying Channels［J］. Journal of Electronics ＆ Information Technology, 2011, 33(10): 2312-2316.
［9］ Liu L J, Chamberland J F. On the Effective Capacity of Multi-antenna Gaussian Channels［C］//Proceedings-IEEE International Symposium on Information Theory. Piscataway: IEEE, 2008: 2583-2587.
［10］ Chung S T, Goldsmith A J. Degrees of Freedom in Adaptive Modulation: a Unified View［J］. IEEE Transactions on Communications, 2001, 49(9): 1561-1571.
［11］ Lo T. Maximum Ratio Transmission［J］. IEEE Transactions on Communications, 1999, 47(10): 1458-1461.
［12］ Dighe P A, Mallik P K, Jamuar S S. Analysis of Transmit-receive Diversity in Rayleigh Fading ［J］. IEEE Transacations on Communications, 2003, 51(4): 694-703.
［13］ Gradshteyn I S, Ryzhik I M, Jeffrey A. Table of Integrals, Series, and Products［M］. Waltham: Academic Press, 2000.

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Effective capacity analysis of MIMO beamforming

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