Multi-Switch for Antenna Selection in Massive MIMO
(2015) IEEE Global Communication Conference (GLOBECOM), 2015- Abstract
- Massive MIMO has been shown to greatly improve spectral and transmit-energy efficiency. When implementing a massive MIMO system, one challenge is high hardware complexity. A solution is to reduce the number of radio frequency (RF) transceiver chains by performing antenna selection. However, a full RF switch that connects the antennas and RF chains can be highly complex and incurs significant loss in output signal quality, especially when the number of antennas and RF chains are large. We therefore propose a simpler solution - binary switching architecture, which is sub-optimal but provides better signal quality, as compared to the full switching network. To evaluate the proposed technique, we compare the sum-rate capacity when using... (More)
- Massive MIMO has been shown to greatly improve spectral and transmit-energy efficiency. When implementing a massive MIMO system, one challenge is high hardware complexity. A solution is to reduce the number of radio frequency (RF) transceiver chains by performing antenna selection. However, a full RF switch that connects the antennas and RF chains can be highly complex and incurs significant loss in output signal quality, especially when the number of antennas and RF chains are large. We therefore propose a simpler solution - binary switching architecture, which is sub-optimal but provides better signal quality, as compared to the full switching network. To evaluate the proposed technique, we compare the sum-rate capacity when using several different configurations of binary switching with the performance of the full switching. Full MIMO performance obtained without antenna selection is also presented as a reference. The investigations in this paper are all
based on measured channel data at 2.6 GHz, using a uniform linear array and a cylindrical array, both having 128 antenna elements. It is found that the proposed binary switching gives very competitive performance that are close to the full switching, for the measured channels. The results indicate a potential to simplify massive MIMO hardware by reducing the number of RF chains, and performing antenna selection with simple binary switching architecture. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/7792574
- author
- Gao, Xiang LU ; Edfors, Ove LU ; Tufvesson, Fredrik LU and Larsson, Erik G.
- organization
- publishing date
- 2015-12-06
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Massive MIMO, multi-user MIMO, antenna selection, switching network, channel capacity, sum-rate, linear precoding, system complexity, spatial degrees of freedom, channel measurements
- host publication
- Proc. 2015 IEEE Global Communications Conference, ISBN: 978-147995952-5
- pages
- 6 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- IEEE Global Communication Conference (GLOBECOM), 2015
- conference location
- San Diego, California, United States
- conference dates
- 2015-12-06 - 2015-12-10
- external identifiers
-
- scopus:84964889613
- language
- English
- LU publication?
- yes
- id
- dc4aad22-8653-421a-b548-838b2b38efd4 (old id 7792574)
- date added to LUP
- 2016-04-04 11:29:17
- date last changed
- 2024-03-30 13:07:19
@inproceedings{dc4aad22-8653-421a-b548-838b2b38efd4, abstract = {{Massive MIMO has been shown to greatly improve spectral and transmit-energy efficiency. When implementing a massive MIMO system, one challenge is high hardware complexity. A solution is to reduce the number of radio frequency (RF) transceiver chains by performing antenna selection. However, a full RF switch that connects the antennas and RF chains can be highly complex and incurs significant loss in output signal quality, especially when the number of antennas and RF chains are large. We therefore propose a simpler solution - binary switching architecture, which is sub-optimal but provides better signal quality, as compared to the full switching network. To evaluate the proposed technique, we compare the sum-rate capacity when using several different configurations of binary switching with the performance of the full switching. Full MIMO performance obtained without antenna selection is also presented as a reference. The investigations in this paper are all<br/><br> based on measured channel data at 2.6 GHz, using a uniform linear array and a cylindrical array, both having 128 antenna elements. It is found that the proposed binary switching gives very competitive performance that are close to the full switching, for the measured channels. The results indicate a potential to simplify massive MIMO hardware by reducing the number of RF chains, and performing antenna selection with simple binary switching architecture.}}, author = {{Gao, Xiang and Edfors, Ove and Tufvesson, Fredrik and Larsson, Erik G.}}, booktitle = {{Proc. 2015 IEEE Global Communications Conference, ISBN: 978-147995952-5}}, keywords = {{Massive MIMO; multi-user MIMO; antenna selection; switching network; channel capacity; sum-rate; linear precoding; system complexity; spatial degrees of freedom; channel measurements}}, language = {{eng}}, month = {{12}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Multi-Switch for Antenna Selection in Massive MIMO}}, url = {{https://lup.lub.lu.se/search/files/5784940/8465903.pdf}}, year = {{2015}}, }