How Should IRSs Scale to Harden Multi-Antenna Channels?
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
This work extends the concept of channel hardening to multi-antenna systems that are aided by intelligent reflecting surfaces (IRSs). For fading links between a multi-antenna transmitter and a single-antenna receiver, we derive an accurate approximation for the distribution of the input-output mutual information when the number of reflecting elements grows large. The asymptotic results demonstrate that by increasing the number of elements on the IRS, the end-to-end channel hardens as long as the physical dimensions of the IRS grow as well. The growth rate however need not to be of a specific order and can be significantly sub-linear. The validity of the analytical result is confirmed by numerical experiments.
Details
Original language | English |
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Title of host publication | 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 |
Publisher | IEEE Computer Society |
Pages | 276-280 |
Number of pages | 5 |
ISBN (electronic) | 978-1-6654-0633-8 |
Publication status | Published - 2022 |
Peer-reviewed | Yes |
Externally published | Yes |
Publication series
Series | Sensor Array and Multichannel Signal Processing Workshop |
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Volume | 2022-June |
Conference
Title | 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 |
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Duration | 20 - 23 June 2022 |
City | Trondheim |
Country | Norway |
External IDs
ORCID | /0000-0002-1702-9075/work/165878345 |
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Keywords
ASJC Scopus subject areas
Keywords
- channel hardening, Intelligent reflecting surfaces, large-system analysis