This beam alignment scheme for massive MIMO is shown to improve beamforming gain over conventional orthogonal training for a MISO channel. Index Terms—adaptive ...
Aug 13, 2013 · Abstract:Training sequences are designed to probe wireless channels in order to obtain channel state information for block-fading channels.
Abstract—Training sequences are designed to probe wireless channels to obtain channel state information for block-fading channels.
In this work, we relax the orthogonal restriction on sounding vectors. Introduction of a feedback channel for training enables closed-loop sounding vector ...
The use of a feedback channel after each forward channel use during training enables closed-loop sounding vector design and a misalignment cost function is ...
The closed-loop methods witnesses improved accuracy over the non-adaptive techniques such as training-based channel estimation [16], time division multiplexed ...
In this work, we propose the use of closed-loop training. In this framework, the transmitted training signal is optimized to improve data communications ...
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2014. A. Duly, T. Kim, D. Love, and J. Krogmeier, ―Closedloop beam alignment for massive MIMO channel estimation, ...
Aug 30, 2020 · Massive MIMO channel estimation is a procedure to obtain channel state information (CSI) under systems consisting of large-scale multiple antennas.
The closed-loop methods witnesses improved accuracy over the non-adaptive techniques such as training-based channel estimation [16], time division multiplexed ...