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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Min Lin Jian Ouyang Wei-Ping Zhu Yongming Huang |
| Copyright Year | 2014 |
| Description | Author affiliation: PLA Univ. of Sci. & Technol., Nanjing, China (Min Lin) || Inst. of Signal Process. & Transm., Nanjing Univ. of Posts & Telecommun., Nanjing, China (Jian Ouyang; Wei-Ping Zhu) || Coll. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China (Yongming Huang) |
| Abstract | This paper addresses robust beamforming (BF) design for the uplink transmission of wireless networks, where the base station (BS) equipped with a very large number of antennas communicates with multiple users on the same frequency band simultaneously. Based on the assumption that the wireless channels undergo correlated Rayleigh fading, we first formulate an optimization problem to maximize the output signal-to-interference-plus-noise ratio (SINR) of the intended users. Then, by using the fact that channel uncertainty is norm-bounded and imperfect channel state information (CSI) is available at the BS, we transform the optimization problem to a support vector machine (SVM) regression one, and obtain the robust solution for the BF weight vectors by means of quadratic programming (QP) technique or iterative reweighted least squares (IRWLS) procedure. The computational cost of the proposed robust BF scheme depends on the number of channel vector samples rather than that of the antennas, thus it is suitable for the wireless systems with large-scale antennas. Finally, the efficiency and superiority of the proposed new scheme are confirmed through computer simulation. |
| Starting Page | 4466 |
| Ending Page | 4471 |
| File Size | 430454 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479920037 |
| DOI | 10.1109/ICC.2014.6884024 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-10 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optimization Robustness Vectors Antennas Support vector machines Wireless communication Signal processing imperfect channel state information Large-scale antenna systems robust beamforming support vector machines |
| Content Type | Text |
| Resource Type | Article |
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