학술논문

Generalized Eigenvector for Decentralized Transmit Beamforming in the MISO Interference Channel
Document Type
Periodical
Source
IEEE Transactions on Signal Processing IEEE Trans. Signal Process. Signal Processing, IEEE Transactions on. 61(4):878-882 Feb, 2013
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal to noise ratio
Receivers
Transmitters
Interference channels
Array signal processing
Time frequency analysis
Multiple-input single-output (MISO) interference channel
transmit beamforming
Language
ISSN
1053-587X
1941-0476
Abstract
This paper deals with the problem of sum-rate optimal transmit beamforming for the multiple-input-single-output (MISO) interference channel. Under realistic assumptions (i.e. the beamformers are able to decrease the interference power level below the desired signal one), we derive a decentralized beamformer that optimizes the sum-rate. This is of importance since it is known that obtaining the sum-rate optimal transmit beamformer is an NP-hard problem. The design is presented in closed-form and, thus, it is adequate for the future wireless high data rate spectrum-sharing networks due to its low complexity. We evaluate its performance both analytically and numerically. The results show that it behaves well in scenarios with practical level of interference and it outperforms the current decentralized designs when the channel link gains are asymmetric.