This paper presents two novel methods to optimally compress the feedback for spatial multiplexing with linear precoding. The methods exploit the time correlation of the channel and the knowl-edge of the previously fed back precoder matrices to estimate the conditional probabilities of the different possible feedback indices. These probabilities are then used to losslessly compress the actual feedback using variable-length codes. Two compression schemes are presented, one for a non-dedicated feedback channel and one for a dedicated feedback channel. Index Terms- MIMO systems, linear precoding, partial CSI feedback 1
Abstract—Precoding is a well-known method to reach the promised performance and capacity of multiple...
In this paper we deal with amultiple-input multiple-output (MIMO) multiuser broadcast channel (BC) ...
Abstract — This paper deals with design and performance analysis of transmit precoder optimization f...
This paper gives an overview and a comparison of recent feedback quantization schemes for linear pre...
This paper gives an overview and a comparison of recent feedback quantization schemes for linear pre...
This paper gives an overview and a comparison of recent feedback quantization schemes for linear pre...
This paper gives an overview and a comparison of recent feedback quantization schemes for linear pre...
Combining spatial multiplexing with linear unitary pre-coding allows for high data rates, but requir...
Abstract — In spatial multiplexing systems, transmission reliability is enhanced by the full channel...
Abstract — It is well-known that perfect channel state infor-mation (CSI) at the transmitter and the...
A novel method is proposed for reducing the feedback rate of a transmit beamforming system with feed...
International audienceIn spatial multiplexing systems, transmission reliability is enhanced by the f...
International audienceIn spatial multiplexing systems, transmission reliability is enhanced by the f...
International audienceIn spatial multiplexing systems, transmission reliability is enhanced by the f...
Linear precoding (beamforming) techniques that maximize the sum rate in the multi-antenna broadcast ...
Abstract—Precoding is a well-known method to reach the promised performance and capacity of multiple...
In this paper we deal with amultiple-input multiple-output (MIMO) multiuser broadcast channel (BC) ...
Abstract — This paper deals with design and performance analysis of transmit precoder optimization f...
This paper gives an overview and a comparison of recent feedback quantization schemes for linear pre...
This paper gives an overview and a comparison of recent feedback quantization schemes for linear pre...
This paper gives an overview and a comparison of recent feedback quantization schemes for linear pre...
This paper gives an overview and a comparison of recent feedback quantization schemes for linear pre...
Combining spatial multiplexing with linear unitary pre-coding allows for high data rates, but requir...
Abstract — In spatial multiplexing systems, transmission reliability is enhanced by the full channel...
Abstract — It is well-known that perfect channel state infor-mation (CSI) at the transmitter and the...
A novel method is proposed for reducing the feedback rate of a transmit beamforming system with feed...
International audienceIn spatial multiplexing systems, transmission reliability is enhanced by the f...
International audienceIn spatial multiplexing systems, transmission reliability is enhanced by the f...
International audienceIn spatial multiplexing systems, transmission reliability is enhanced by the f...
Linear precoding (beamforming) techniques that maximize the sum rate in the multi-antenna broadcast ...
Abstract—Precoding is a well-known method to reach the promised performance and capacity of multiple...
In this paper we deal with amultiple-input multiple-output (MIMO) multiuser broadcast channel (BC) ...
Abstract — This paper deals with design and performance analysis of transmit precoder optimization f...