Reference : Analog Beamforming with Antenna Selection for Large-Scale Antenna Arrays
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/47526
Analog Beamforming with Antenna Selection for Large-Scale Antenna Arrays
English
Arora, Aakash mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Tsinos, Christos []
Mysore Rama Rao, Bhavani Shankar mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2021
Proc. 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Yes
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021, 6-11 June 2021, Toronto, Ontario, Canada
from 06-06-2021 to 11-06-2021
IEEE
Toronto, ON
Canada
[en] Nonconvex Optimization ; Majorization- Minimization ; MM ; Algorithms ; Analog Beamforming ; Antenna Selection
[en] In large-scale antenna array (LSAA) wireless communication systems employing analog beamforming architectures, the placement or selection of a subset of antennas can significantly reduce the power consumption and hardware complexity. In this work, we propose a joint design of analog beamforming with antenna selection (AS) or antenna placement (AP) for an analog beamforming system. We approach this problem from a beampattern matching perspective and formulate a sparse unit-modulus least-squares (SULS) problem, which is a nonconvex problem due to the unit-modulus and the sparsity constraints. To that end, we propose an efficient and scalable algorithm based on the majorization-minimization (MM) framework for solving the SULS problem. We show that the sequence of iterates generated by the algorithm converges to a stationary point of the problem. Numerical results demonstrate that the proposed joint design of analog beamforming with AS outperforms conventional array architectures with fixed inter-antenna element spacing.
http://hdl.handle.net/10993/47526
10.1109/ICASSP39728.2021.9414673
https://ieeexplore.ieee.org/document/9414673
FnR ; FNR11607283 > Aakash Arora > SPASAT > Power Efficient Sparse Signal Processing For Digital Wideband On-board Techniques > 01/07/2017 > 30/06/2021 > 2017

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