DocumentCode :
3522502
Title :
Achievable throughput approximation for RBD precoding at high SNRS
Author :
Song, Bin ; Haardt, Martin
Author_Institution :
Commun. Res. Lab., Ilmenau Univ. of Technol., Ilmenau
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
2821
Lastpage :
2824
Abstract :
In this paper, we study the achievable throughput for regularized block diagonalization (RBD) precoding in multi-user MIMO broadcast channels at high SNRs. By applying an analytical framework for a high SNR affine approximation to capacity, we derive the multiplexing gains and the power offsets for RBD in two cases separately. In the first case, we assume that the aggregate number of receive antennas is less than or equal to the number of transmit antennas. It is found that RBD can maintain the same multiplexing gain as dirty paper coding (DPC) and block diagonalization (BD) precoding at high SNRs and has a smaller power offset than BD. The sum rate differences relative to DPC and BD are analyzed and bounded as simple functions of the system parameters. In the second case, we assume that the aggregate number of receive antennas is larger than the number of transmit antennas. Although RBD can still be performed, the achievable throughput is degraded with an increasing number of receive antennas. The benefit of spatial multiplexing is completely lost due to a unit spatial multiplexing gain at high SNRs.
Keywords :
MIMO communication; broadcast channels; channel capacity; encoding; multiuser channels; receiving antennas; transmitting antennas; MIMO broadcast channels; RBD precoding; capacity approximation; dirty paper coding; receive antennas; regularized block diagonalization; transmit antennas; Aggregates; Broadcast technology; Broadcasting; Degradation; Linear approximation; MIMO; Multiaccess communication; Receiving antennas; Throughput; Transmitting antennas; Multi-user MIMO; capacity approximation; dirty paper coding; linear precoding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4960210
Filename :
4960210
Link To Document :
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