How Should IRSs Scale to Harden Multi-Antenna Channels?
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
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
Originalsprache | Englisch |
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Titel | 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 |
Herausgeber (Verlag) | IEEE Computer Society |
Seiten | 276-280 |
Seitenumfang | 5 |
ISBN (elektronisch) | 978-1-6654-0633-8 |
Publikationsstatus | Veröffentlicht - 2022 |
Peer-Review-Status | Ja |
Extern publiziert | Ja |
Publikationsreihe
Reihe | Sensor Array and Multichannel Signal Processing Workshop |
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Band | 2022-June |
Konferenz
Titel | 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 |
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Dauer | 20 - 23 Juni 2022 |
Stadt | Trondheim |
Land | Norwegen |
Externe IDs
ORCID | /0000-0002-1702-9075/work/165878345 |
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Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- channel hardening, Intelligent reflecting surfaces, large-system analysis