This paper addresses the design of the linear precoders and decoders of the complex Gaussian broadcast channel in which both the base station and the remote station are equipped with arrays of multiple antennas. An imperfect channel knowledge is assumed at the base station and the minimization of the sum of the mean square errors (MMSE) of the system's substreams is chosen as optimization criterion. A stochastic approach is taken to make the design robust against the channel estimation errors. The solution is based on an iterative algorithm whose convergence is guaranteed. Simulations results emphasize the benefit of the proposed design.Anglai
We consider the robust precoder design for Multi-User Multiple Input Single Output (MU-MISO) systems...
In this project is implemented an iterative algorithm. to determine the linear transmit and receive ...
Abstract — We study robust transceiver optimization methods for a multiuser downlink wireless system...
In this paper, we design robust precoders, under the minimum mean square error (MMSE) criterion, for...
In this paper, we propose two robust precoder designs formultiple-input multiple-output (MIMO) broad...
In this paper we deal with amultiple-input multiple-output (MIMO) multiuser broadcast channel (BC) ...
In this paper, we consider robust non-linear precoding for the downlink of a multiuser multiple-inpu...
Non-linear precoding for the downlink of a multiuser MISO (multiple-input single-output) communicat...
The joint linear precoder and decoder Minimum Mean Squared Error (MMSE) design represents a low comp...
Non-linear precoding for the downlink of a multiuser\ud MISO (multiple-input single-output) communic...
In this paper, we consider robust joint linear precoder/receive filter designs for multiuser multi-i...
Detection in multiple-input-multiple-output (MIMO) wireless communication systems is a crucial proce...
We study robust transceiver optimization methods for a multiuser downlink wireless system. The robus...
In this paper, we consider robust MIMO precoding designs against deterministic imperfect channel sta...
In this paper, we consider robust joint linear precoder/receive filter design for multiuser multi-in...
We consider the robust precoder design for Multi-User Multiple Input Single Output (MU-MISO) systems...
In this project is implemented an iterative algorithm. to determine the linear transmit and receive ...
Abstract — We study robust transceiver optimization methods for a multiuser downlink wireless system...
In this paper, we design robust precoders, under the minimum mean square error (MMSE) criterion, for...
In this paper, we propose two robust precoder designs formultiple-input multiple-output (MIMO) broad...
In this paper we deal with amultiple-input multiple-output (MIMO) multiuser broadcast channel (BC) ...
In this paper, we consider robust non-linear precoding for the downlink of a multiuser multiple-inpu...
Non-linear precoding for the downlink of a multiuser MISO (multiple-input single-output) communicat...
The joint linear precoder and decoder Minimum Mean Squared Error (MMSE) design represents a low comp...
Non-linear precoding for the downlink of a multiuser\ud MISO (multiple-input single-output) communic...
In this paper, we consider robust joint linear precoder/receive filter designs for multiuser multi-i...
Detection in multiple-input-multiple-output (MIMO) wireless communication systems is a crucial proce...
We study robust transceiver optimization methods for a multiuser downlink wireless system. The robus...
In this paper, we consider robust MIMO precoding designs against deterministic imperfect channel sta...
In this paper, we consider robust joint linear precoder/receive filter design for multiuser multi-in...
We consider the robust precoder design for Multi-User Multiple Input Single Output (MU-MISO) systems...
In this project is implemented an iterative algorithm. to determine the linear transmit and receive ...
Abstract — We study robust transceiver optimization methods for a multiuser downlink wireless system...