空间相关信道下大规模MIMO系统频谱效率分析  被引量:2

Spectral Efficiency Analysis of Massive MIMO Systems over Spatial Correlation Channel

在线阅读下载全文

作  者:丁青锋 连义翀 邓玉前 DING Qing-feng;LIAN Yi-chong;DENG Yu-qian(School of Electrical and Automation Engineering,East China Jiaotong University,Nanchang 330013,China)

机构地区:[1]华东交通大学电气与自动化工程学院,南昌330013

出  处:《北京邮电大学学报》2020年第3期45-50,98,共7页Journal of Beijing University of Posts and Telecommunications

基  金:国家自然科学基金项目(61961018);江西省杰出青年人才计划项目(20192BCB23013);江西省自然科学基金项目(20192ACB21003)。

摘  要:针对空间相关信道下存在干扰机的多用户大规模多输入多输出系统,研究了基站仅配置低精度模数转换器(ADC)的系统频谱效率性能.通过结合指数(Toeplitz)相关模型建立空间相关信道,并利用加性量化噪声模型和最大比合并算法,推导出系统频谱效率的闭合表达式.基于此,进一步对理想和非理想信道状态信息下的系统频谱效率进行比较分析.仿真结果表明,随着用户发送功率和ADC精度的增加,频谱效率将出现饱和效应;当合法用户发送功率小于干扰机发送功率时,干扰机对系统的影响占主导作用;当合法用户发送功率大于干扰机发送功率时,能够有效地抑制干扰机对系统的影响.Aiming at multi-user massive multi-input multi-output systems with jammer under spatial correlation channel,where the system spectral efficiency performance of the base station with low-resolution analog-to-digital converters(ADCs) is studied. Establishing spatial correlation channel by combining exponential Toeplitz correlation models,utilizing the additive quantization noise model and the maximum ratio combination algorithm,a closed expression of the spectral efficiency is derived. The system spectral efficiency under ideal/non-ideal channel state information is analyzed thereafter. Simulation shows that the spectral efficiency will have a saturation effect as the transmit power of the user and the resolution of the ADC increase;when the transmit power of the user is less than the transmit power of the jammer,the influence of the jammer on the system is dominant;when the transmit power of the user is greater than the transmit power of the jammer,it can effectively suppress the influence of the jammer on the system.

关 键 词:大规模多输入多输出 低精度模数转换器 空间相关信道 频谱效率 干扰机 

分 类 号:TN929.5[电子电信—通信与信息系统]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象