Graduate School and Research Center in Digital Sciences

RISMA: Reconfigurable intelligent surfaces enabling beamforming for IoT massive access

Mursia, Placido; Sciancalepore, Vincenzo; Garcia-Saavedra, Andres; Cottatellucci, Laura; Costa-Perez, Xavier; Gesbert, David

IEEE Journal on Selected Areas in Communications, Special Issue on Massive Access for 5G and Beyond / Also on ArXiv, 18 July 2020

Massive access for Internet-of-Things (IoT) in beyond 5G networks represents a daunting challenge for conventional bandwidth-limited technologies. Millimeter-wave technologies (mmWave)—which provide large chunks of bandwidth at the cost of more complex wireless processors in harsher radio environments—is a promising alternative to accommodate massive IoT but its cost and power requirements are an obstacle for wide adoption in practice. In this context, meta-materials arise as a key innovation enabler to address this challenge by Re-configurable Intelligent Surfaces (RISs). In this paper we take on the challenge and study a beyond 5G scenario consisting of a multi-antenna base station (BS) serving a large set of single-antenna user equipments (UEs) with the aid of RISs to cope with non-line-of-sight paths. Specifically, we build a mathematical framework to jointly optimize the precoding strategy of the BS and the RIS parameters in order to minimize the system sum mean squared error (SMSE). This novel approach reveals convenient properties used to design two algorithms, RISMA and Lo-RISMA, which are able to either find simple and efficient solutions to our problem (the former) or accommodate practical constraints with low-resolution RISs (the latter). Numerical results show that our algorithms outperform conventional benchmarks that do not employ RIS (even with low-resolution meta-surfaces) with gains that span from 20% to 120% in sum rate performance. 

Document Arxiv Bibtex

Title:RISMA: Reconfigurable intelligent surfaces enabling beamforming for IoT massive access
Keywords:Massive access, RISs, mmWave, Re-configurable intelligent surfaces, Beamforming, IoT, Beyond-5G, 6G
Type:Journal
Language:English
City:
Date:
Department:Communication systems
Eurecom ref:6309
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Bibtex: @article{EURECOM+6309, year = {2020}, month = {07}, title = {{RISMA}: {R}econfigurable intelligent surfaces enabling beamforming for {I}o{T} massive access}, author = {{M}ursia, {P}lacido and {S}ciancalepore, {V}incenzo and {G}arcia-{S}aavedra, {A}ndres and {C}ottatellucci, {L}aura and {C}osta-{P}erez, {X}avier and {G}esbert, {D}avid}, journal = {{IEEE} {J}ournal on {S}elected {A}reas in {C}ommunications, {S}pecial {I}ssue on {M}assive {A}ccess for 5{G} and {B}eyond / {A}lso on {A}r{X}iv, 18 {J}uly 2020 }, url = {http://www.eurecom.fr/publication/6309} }
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