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In this paper, we study the problem of downlink multicell processing (MCP) when a channel state information is used to design transmit beamforming. This kind of design entails the complexity that requires extra signalling overhead. However, the channel state information (CSI) may be subjected to estimation and quantization errors. To acquire reduction in signalling overhead, we propose a robust multicell...
In this paper, we focus on robust design of downlink beamforming vectors for multiple antenna base stations (BSs) in a multi-cell interference network. We formulate a robust optimization problem where an individual BS within a cell designs its beamforming vectors to minimize a combination of its sum-power, used for assuring a desired quality of service at its local users, and its aggregate induced...
In order to solve the problem of lacking robustness against the unknown array steering vector in minimum variance beamformer. A new beamforming algorithm based on spherical uncertainty set is proposed in this paper. In this paper, we investigate the robust beamforming with spherical constraint on steering vector further and provide a novel robust minimum variance beamforming (RMVB) algorithm. Compared...
The conventional minimum variance beamformer (MVB) is known to have better resolution and much better interference rejection capability when the array steering vector is accurately known. However, the major problem of the MVB is that it lacks robustness against the unknown array steering vector errors. Therefore, diagonal loading and its extended versions have been a popular approach to improve the...
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