Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Spatial-Mode Selection for the Joint Transmit and Receive MMSE Design | EURASIP Journal on Applied Signal Processing 2004 9 1199-1211 2004 Hindawi Publishing Corporation Spatial-Mode Selection for the Joint Transmit and Receive MMSE Design Nadia Khaled Interuniversity Micro-Electronics Center IMEC Kapeldreef 75 3001 Leuven Belgium Email Claude Desset Interuniversity Micro-Electronics Center IMEC Kapeldreef 75 3001 Leuven Belgium Email Steven Thoen RF Micro Devices Technologielaan 4 3001 Leuven Belgium Email sthoen@ Hugo De Man Interuniversity Micro-Electronics Center IMEC Kapeldreef 75 3001 Leuven Belgium Email Received 28 May 2003 Revised 15 March 2004 To approach the potential MIMO capacity while optimizing the system bit error rate BER performance the joint transmit and receive minimum mean squared error MMSE design has been proposed. It is the optimal linear scheme for spatial multiplexing MIMO systems assuming a fixed number of spatial streams p as well as a fixed modulation and coding across these spatial streams. However state-of-the-art designs arbitrarily choose and fix the value of the number of spatial streams p which may lead to an inefficient power allocation strategy and a poor BER performance. We have previously proposed to relax the constraint of fixed number of streams p and to optimize this value under the constraints of fixed average total transmit power and fixed spectral efficiency which we referred to as spatial-mode selection. Our previous selection criterion was the minimization of the system sum MMSE. In the present contribution we introduce a new and better spatial-mode selection criterion that targets the minimization of the system BER. We also provide a detailed performance analysis over flat-fading channels that confirms that our proposed spatial-mode selection significantly outperforms state-of-the-art joint Tx Rx MMSE designs for both uncoded and coded systems thanks to its better exploitation of the MIMO spatial diversity and more .
