| Reference : Exploiting Long-term Statistics in Spatially Correlated Multi-user MIMO Systems with ... |
| Scientific congresses, symposiums and conference proceedings : Paper published in a book | |||
| Engineering, computing & technology : Computer science Engineering, computing & technology : Electrical & electronics engineering | |||
| http://hdl.handle.net/10993/14534 | |||
| Exploiting Long-term Statistics in Spatially Correlated Multi-user MIMO Systems with Quantized Channel Norm Feedback | |
| English | |
| Björnson, Emil [> >] | |
Ottersten, Björn  [KTH Royal Institute of Technology] | |
| 2008 | |
| Proceedings IEEE International Conference on Acoustics, Speech, and Signal (ICASSP) | |
| 3117–3120 | |
| Yes | |
| Proceedings IEEE International Conference on Acoustics, Speech, and Signal (ICASSP) | |
| April 2008 | |
| [en] Array signal processing ; Feedback ; MIMO systems ; Mobile communication ; Spatial division multiple access | |
| [en] In wireless multiple antenna and multi-user systems, the spatial dimensions may be exploited to increase the performance by means of antenna gain, spatial diversity, and multi-user diversity. A limiting factor in such systems is the channel information required by the transmitter to control the intra-cell interference. Herein, the properties of spatially correlated channels with longterm statistical information at the transmitter and fixed-rate feedback of the quantized Euclidean channel norm are analyzed using a spectral subspace decomposition framework. A spatial division multiple access scheme is proposed with interference suppression at the receiver and joint scheduling and zero-forcing beamforming at the transmitter. Closed-form expressions for first and second moments of the feedback conditional channel statistics are derived. It is shown that only a few bits of feedback are required to achieve reliable rate estimation and weighted sum-rate maximization. | |
| http://hdl.handle.net/10993/14534 |
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