Title
CSI estimation method based on random beamforming for massive number of transmit antenna systems
Abstract
Beamforming techniques offer array gain and spatial multiplexing gain in multiple input multiple output (MIMO) systems. Wireless systems with massive numbers of transmit antennas (Massive MIMO) are attractive to increase the channel capacity and/or energy efficiency. However, the downlink channel state information (CSI) estimation sequence suffers increased loss in terms of lower MAC efficiency and calculation complexity. This paper proposes a CSI feedback scheme based random beamforming weights for massive MIMO when the number of users is small. In the proposed scheme, the CSI estimation beams are randomly determined and the number of beams for CSI estimation is limited. By iteratively revising the random beamforming weight, the access point can obtain the CSI of the signal space of all transmit antennas. Simulation results show that the achievable bit rate of the proposed method approaches that of the full antenna CSI.
Year
DOI
Venue
2012
10.1109/ISWCS.2012.6328461
Wireless Communication Systems
Keywords
Field
DocType
MIMO communication,antenna arrays,array signal processing,channel capacity,channel estimation,iterative methods,space division multiplexing,transmitting antennas,CSI estimation method,CSI feedback scheme,access point,array gain,calculation complexity,channel capacity,downlink channel state information estimation sequence,energy efficiency,full antenna CSI,lower MAC efficiency,massive MIMO systems,multiple input multiple output systems,random beamforming techniques,signal space,spatial multiplexing gain,transmit antenna systems,wireless systems,CSI estimation,Doppler frequency,Massive MIMO,Random Beamforming,wireless LAN
Beamforming,Control theory,Iterative method,Computer science,Efficient energy use,MIMO,Bit rate,Electronic engineering,Real-time computing,Array gain,Channel capacity,Precoding
Conference
ISSN
ISBN
Citations 
2154-0217 E-ISBN : 978-1-4673-0760-4
978-1-4673-0760-4
3
PageRank 
References 
Authors
0.47
8
4
Name
Order
Citations
PageRank
Riichi Kudo18115.69
Simon M. D. Armour2182.23
Joe McGeehan321630.91
Masato Mizoguchi48014.45