Title :
Cooperative Multicell Zero-Forcing Beamforming in Cellular Downlink Channels
Author :
Somekh, O. ; Simeone, O. ; Bar-Ness, Y. ; Haimovich, A.M. ; Shamai, Shlomo
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ
fDate :
7/1/2009 12:00:00 AM
Abstract :
In this work, a multicell cooperative zero-forcing beamforming (ZFBF) scheme combined with a simple user selection procedure is considered for the Wyner cellular downlink channel. The approach is to transmit to the user with the ldquobestrdquo local channel in each cell. The performance of this suboptimal scheme is investigated in terms of the conventional sum-rate scaling law and the sum-rate offset for an increasing number of users per cell. We term this characterization of the sum-rate for large number of users as high-load regime characterization, and point out the similarity of this approach to the standard affine approximation used in the high-signal-to-noise ratio (SNR) regime. It is shown that, under an overall power constraint, the suboptimal cooperative multicell ZFBF scheme achieves the same sum-rate growth rate and slightly degraded offset law, when compared to an optimal scheme deploying joint multicell dirty-paper coding (DPC), asymptotically with the number of users per cell. Moreover, the overall power constraint is shown to ensure in probability, equal per-cell power constraints when the number of users per-cell increases.
Keywords :
affine transforms; array signal processing; cellular radio; channel coding; probability; wireless channels; Wyner cellular downlink channel; cooperative multicell zero-forcing beamforming; multicell dirty-paper coding; probability; standard affine approximation; sum-rate scaling law; Antenna arrays; Array signal processing; Cities and towns; Context; Degradation; Downlink; Fading; System performance; Wireless communication; Broadcast channel; Wyner cellular downlink; distributed antenna array; fading channels; scaling law; sum–rate capacity; zero-forcing beamforming (ZFBF);
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2009.2021371