MIMO_SYSTEMS

作品数:159被引量:170H指数:6
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Gaussian Mixture-Learned Approximate Message Passing(GM-LAMP)Based Hybrid Precoders for mmWave Massive MIMO Systems
《China Communications》2024年第12期66-79,共14页Shoukath Ali K Sajan P Philip Perarasi T 
Hybrid precoder design is a key technique providing better antenna gain and reduced hardware complexity in millimeter-wave(mmWave)massive multiple-input multiple-output(MIMO)systems.In this paper,Gaussian Mixture lear...
关键词:approximate message passing deep neu-ral network Gaussian Mixture model massive MIMO millimeter wave 
An analytical framework for the incorporation of non-orthogonal pilots in massive MIMO systems
《Digital Communications and Networks》2024年第5期1267-1279,共13页Navid Pourjafari Jalil Seifali Harsini 
Training-based cellular communication systems use orthogonal pilot sequences to limit pilot contamination.However,the orthogonality constraint imposes a certain pilot length,and therefore,in communication systems with...
关键词:Massive MIMO Non-orthogonal pilots Cellular systems Performance analysis 
Optimal AP Deployment in Cell-Free Massive MIMO Systems with LoS/NLoS Transmissions:A Stochastic Geometry Approach被引量:1
《China Communications》2024年第9期146-158,共13页Jiang Ling Zhang Qi Zhu Hongbo 
supported in part by the National Natural Science Foundation of China under Grant 62171231;in part by the Jiangsu Provincial Key Research and Development Program(No.BE2020084-1)。
Cell-free massive multiple-input multipleoutput(MIMO)is a promising technology for future wireless communications,where a large number of distributed access points(APs)simultaneously serve all users over the same time...
关键词:cell-free massive MIMO energy efficiency LoS/NLoS transmissions stochastic geometry 
Performance Analysis of ZF and RZF in Low-Resolution ADC/DAC Massive MIMO Systems
《China Communications》2024年第8期115-126,共12页Talha Younas Shen Jin Muluneh Mekonnen Gao Mingliang Saqib Saleem Sohaib Tahir Mahrukh Liaqat 
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 ra...
关键词:low-bit analog-digital converter massive(multiple-input-multiple-output)MIMO minimum mean square error(MMSE) regularized zero forcing zero forcing 
Improving Radiation Pattern Roundness of Henge-Like Metaring-Loaded Monopoles Above a Finite Ground for MIMO Systems
《Electromagnetic Science》2024年第2期104-115,共12页Bo Zhang Zhi Ning Chen Yucong Zhou Qun Lou Jiahao Wang Koen Mouthaan 
A henge-like metaring(HMR)is proposed for improving the radiation pattern roundness of monopole antennas offcenter mounted on a finite ground by localizing the radiation from the monopole and suppressing the scatterin...
关键词:Antenna radiation pattern Characteristic mode analysis METAMATERIALS MIMO communication OMNIDIRECTIONAL antennas Wireless access points 
High Energy Efficiency Dynamic Connected Hybrid Precoding for mm Wave Massive MIMO Systems
《China Communications》2024年第5期36-44,共9页Du Ruiyan Liu Huajing Li Tiangui Liu Fulai 
supported by the National Natural Science Foundation of China(Grant No.61971117);the Natural Science Foundation of Hebei Province(Grant No.F2020501007);the S&T Program of Hebei(No.22377717D)。
This paper considers a high energy efficiency dynamic connected(HEDC)structure,which promotes the practicability and reduces the power consumption of hybrid precoding system by lowresolution phase shifters(PSs).Based ...
关键词:energy efficiency hybrid precoding mmWave optimized resolution phase shifter 
Deep learning for joint channel estimation and feedback in massive MIMO systems被引量:1
《Digital Communications and Networks》2024年第1期83-93,共11页Jiajia Guo Tong Chen Shi Jin Geoffrey Ye Li Xin Wang Xiaolin Hou 
supported in part by the National Natural Science Foundation of China(NSFC)under Grants 61941104,61921004;the Key Research and Development Program of Shandong Province under Grant 2020CXGC010108;the Southeast University-China Mobile Research Institute Joint Innovation Center;supported in part by the Scientific Research Foundation of Graduate School of Southeast University under Grant YBPY2118.
The great potentials of massive Multiple-Input Multiple-Output(MIMO)in Frequency Division Duplex(FDD)mode can be fully exploited when the downlink Channel State Information(CSI)is available at base stations.However,th...
关键词:Channel estimation CSI feedback Deep learning Massive MIMO FDD 
Intelligent reflecting surface for sum rate enhancement in MIMO systems
《Digital Communications and Networks》2024年第1期94-100,共7页Chan-Yeob Park Ji-Sung Jung Yeong-Rong Lee Beom-Sik Shin Hyoung-Kyu Song 
supported by the MSIT(Ministry of Science and ICT),Korea,under the ITRC(Information Technology Research Center)support program(IITP-2022-2018-0-01423);supervised by the ITP(Institute for Information&Communications Technology Planning&Evaluation);supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(2020R1A6A1A03038540).
The research for the Intelligent Reflecting Surface(IRS)which has the advantages of cost and energy efficiency has been studied.Channel capacity can be effectively increased by appropriately setting the phase value of...
关键词:Intelligent reflecting surface MIMO Sum rate 
Optimization of resource allocation in FDD massive MIMO systems
《Digital Communications and Networks》2024年第1期117-125,共9页Jun Cai Chuan Yin Youwei Ding 
supported by the foundation of National Key Laboratory of Electromagnetic Environment(Grant No.JCKY2020210C 614240304);Natural Science Foundation of ZheJiang province(LQY20F010001);the National Natural Science Foundation of China under grant numbers 82004499;State Key Laboratory of Millimeter Waves under grant numbers K202012.
The performance of massive MIMO systems relies heavily on the availability of Channel State Information at the Transmitter(CSIT).A large amount of work has been devoted to reducing the CSIT acquisition overhead at the...
关键词:Massive MIMO FDD CSIT Resource allocation 
Cluster-Based Massive Access for Massive MIMO Systems
《China Communications》2024年第1期24-33,共10页Shiyu Liang Wei Chen Zhongwen Sun Ao Chen Bo Ai 
supported by Natural Science Foundation of China(62122012,62221001);the Beijing Natural Science Foundation(L202019,L211012);the Fundamental Research Funds for the Central Universities(2022JBQY004)。
Massive machine type communication aims to support the connection of massive devices,which is still an important scenario in 6G.In this paper,a novel cluster-based massive access method is proposed for massive multipl...
关键词:compressive sensing dictionary learning multiuser detection random access 
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