信道容量研究与信道状态对误码率的影响
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摘要
随着移动通信的发展,频谱资源短缺,通信容量不足的问题越来越明显。因此提高频谱利用率,提高信道容量显得至关重要。信道容量也是下一代移动通信中重要的研究内容之一。现代移动通信系统均采用多输入多输出系统(MIMO),文中首先在MIMO系统原理和系统模型的基础上介绍了信道特征值分析方法。然后给出了MIMO信道容量公式,并分析了在信道状态信息(CSI)未知和CSI已知这两种情况下的信道容量。对MIMO信道容量进行仿真,验证了天线数目和平均信噪比对信道容量的影响,通过仿真对比了注水功率分配算法和平均功率分配算法的信道容量,并探究了信道状态对误码率的影响。
With the development of modern mobile communication,the problem of shortage of spectrum resources and communication capacity is more and more serious. The channel capacity is one of the most important study contents in next generation mobile communication. Multiple input and multiple output is one of the key techniques in modern mobile communication. Firstly,this paper introduced the eigenvalue analysis method based on theory and system model of MIMO. Secondly,it presented the capacity formula of MIMO,then analysed system capacity when channel state information is unknown and channel state information is known at the transmitter. In the end,the simulation based on channel capacity,it shows the influence of the antenna numbers and the average SNR on the channel capacity. Then it compares the channel capacity of water powering allocation algorithm and average power allocation algorithm,what's more it studies on the impact of CSI on BER.
With the development of modern mobile communication,the problem of shortage of spectrum resources and communication capacity is more and more serious. The channel capacity is one of the most important study contents in next generation mobile communication. Multiple input and multiple output is one of the key techniques in modern mobile communication. Firstly,this paper introduced the eigenvalue analysis method based on theory and system model of MIMO. Secondly,it presented the capacity formula of MIMO,then analysed system capacity when channel state information is unknown and channel state information is known at the transmitter. In the end,the simulation based on channel capacity,it shows the influence of the antenna numbers and the average SNR on the channel capacity. Then it compares the channel capacity of water powering allocation algorithm and average power allocation algorithm,what's more it studies on the impact of CSI on BER.
引文
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[2]黄丘林.MIMO无线通信技术研究[D].西安:西安电子科技大学,2007.
[3]Zheng-gang G U.Analysis of the capacity for MIM system[J].Journal of Ningbo Polytechnic,2010,14.
[4]Holter B.On the capacity of the MIMO channel:A tutorial introduction[C]∥Proc.IEEE Norwegian Symposium on Signal Processing.2001:167-172.
[5]罗振东,高宏,刘元安,等.MIMO信道容量公式及其渐近界[J].北京邮电大学学报,2006,29(6):72-76.
[6]孙丹,张晓光.MIMO系统信道容量研究[J].现代电子技术,2006,29(19):4-6.
[7]邓双成,王新梅.MIMO系统的信道容量研究[J].电子科技,2013,7:31.
[8]季玉洁.影响MIMO信道容量的天线选择和功率分配算法研究[D].南京:南京邮电大学,2013.
[9]张华炜.无线MIMO信道建模与信道容量研究[D].西安:西安电子科技大学,2009.
[10]Prabhu R S,Daneshrad B.An energy-efficient water-filling algorithm for OFDM systems[C]∥Communications(ICC),2010IEEE International Conference on.IEEE,2010:1-5.
[11]Paulraj A J,Gore D A,Nabar R U,et al.An overview of MIMO communications-a key to gigabit wireless[J].Proceedings of the IEEE,2004,92(2):198-218.
[12]Gohil A,Modi H,Patel S K.5G technology of mobile communication:A survey[C]∥Intelligent Systems and Signal Processing(ISSP),2013 International Conference on.IEEE,2013:288-292.