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作 者:Talha Younas Shen Jin Muluneh Mekonnen Gao Mingliang Saqib Saleem Sohaib Tahir Mahrukh Liaqat
机构地区:[1]School of Electrical and Electronic Engineering,Shandong University of Technology,Zibo 255000,China [2]Department of Electrical and Computer Engineering,COMSATS University Islamabad,Sahiwal Campus [3]Department of Electrical and Computer Engineering,College of Engineering,Dhofar University,Salalah 211,Oman [4]Department of Electrical and Computer Engineering,Addis Ababa Science and Technology University,Addis Ababa,Ethiopia [5]Department of Electrical Engineering,College of Electrical and Mechanical Engineering,NUST,Islamabad,Pakistan
出 处:《China Communications》2024年第8期115-126,共12页中国通信(英文版)
摘 要:Large number of antennas and higher bandwidth usage in massive multiple-input-multipleoutput(MIMO)systems create immense burden on receiver in terms of higher power consumption.The power consumption at the receiver radio frequency(RF)circuits can be significantly reduced by the application of analog-to-digital converter(ADC)of low resolution.In this paper we investigate bandwidth efficiency(BE)of massive MIMO with perfect channel state information(CSI)by applying low resolution ADCs with Rician fadings.We start our analysis by deriving the additive quantization noise model,which helps to understand the effects of ADC resolution on BE by keeping the power constraint at the receiver in radar.We also investigate deeply the effects of using higher bit rates and the number of BS antennas on bandwidth efficiency(BE)of the system.We emphasize that good bandwidth efficiency can be achieved by even using low resolution ADC by using regularized zero-forcing(RZF)combining algorithm.We also provide a generic analysis of energy efficiency(EE)with different options of bits by calculating the energy efficiencies(EE)using the achievable rates.We emphasize that satisfactory BE can be achieved by even using low-resolution ADC/DAC in massive MIMO.
关 键 词:low-bit analog-digital converter massive(multiple-input-multiple-output)MIMO minimum mean square error(MMSE) regularized zero forcing zero forcing
分 类 号:TN929.5[电子电信—通信与信息系统] TN792[电子电信—信息与通信工程]
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