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- Publisher Website: 10.1109/ICASSP.2019.8682193
- Scopus: eid_2-s2.0-85068986601
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Conference Paper: Massive MIMO multicast beamforming via accelerated random coordinate descent
Title | Massive MIMO multicast beamforming via accelerated random coordinate descent |
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Authors | |
Keywords | Acceleration beamforming large-scale massive MIMO random coordinate descent |
Issue Date | 2019 |
Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000002 |
Citation | Proceedings of the IEEE 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK, 12-17 May 2019, p. 4494-4498 How to Cite? |
Abstract | One key feature of massive multiple-input multiple-output systems is the large number of antennas and users. As a result, reducing the computational complexity of beamforming design becomes imperative. To this end, the goal of this paper is to achieve a lower complexity order than that of existing beamforming methods, via the parallel accelerated random coordinate descent (ARCD). However, it is known that ARCD is only applicable when the problem is convex, smooth, and separable. In contrast, the beamforming design problem is nonconvex, nonsmooth, and nonseparable. Despite these challenges, this paper shows that it is possible to incorporate ARCD for multicast beamforming by leveraging majorization minimization and strong duality. Numerical results show that the proposed method reduces the execution time by one order of magnitude compared to state-of-the-art methods. |
Description | SPCOM-L1.3 |
Persistent Identifier | http://hdl.handle.net/10722/274124 |
ISSN |
DC Field | Value | Language |
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dc.contributor.author | Wang, S | - |
dc.contributor.author | Cheng, L | - |
dc.contributor.author | Xia, MH | - |
dc.contributor.author | Wu, YC | - |
dc.date.accessioned | 2019-08-18T14:55:34Z | - |
dc.date.available | 2019-08-18T14:55:34Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Proceedings of the IEEE 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK, 12-17 May 2019, p. 4494-4498 | - |
dc.identifier.issn | 1520-6149 | - |
dc.identifier.uri | http://hdl.handle.net/10722/274124 | - |
dc.description | SPCOM-L1.3 | - |
dc.description.abstract | One key feature of massive multiple-input multiple-output systems is the large number of antennas and users. As a result, reducing the computational complexity of beamforming design becomes imperative. To this end, the goal of this paper is to achieve a lower complexity order than that of existing beamforming methods, via the parallel accelerated random coordinate descent (ARCD). However, it is known that ARCD is only applicable when the problem is convex, smooth, and separable. In contrast, the beamforming design problem is nonconvex, nonsmooth, and nonseparable. Despite these challenges, this paper shows that it is possible to incorporate ARCD for multicast beamforming by leveraging majorization minimization and strong duality. Numerical results show that the proposed method reduces the execution time by one order of magnitude compared to state-of-the-art methods. | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000002 | - |
dc.relation.ispartof | IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings | - |
dc.rights | IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings . Copyright © Institute of Electrical and Electronics Engineers. | - |
dc.rights | ©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Acceleration | - |
dc.subject | beamforming | - |
dc.subject | large-scale | - |
dc.subject | massive MIMO | - |
dc.subject | random coordinate descent | - |
dc.title | Massive MIMO multicast beamforming via accelerated random coordinate descent | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Wu, YC: ycwu@eee.hku.hk | - |
dc.identifier.authority | Wu, YC=rp00195 | - |
dc.identifier.doi | 10.1109/ICASSP.2019.8682193 | - |
dc.identifier.scopus | eid_2-s2.0-85068986601 | - |
dc.identifier.hkuros | 302303 | - |
dc.identifier.spage | 4494 | - |
dc.identifier.epage | 4498 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1520-6149 | - |