Geographical Fairness in Multi-RIS-Assisted Networks in Smart Cities: A Robust Design

Reconfigurable intelligent surfaces; Resource allocation; User association; Smart cities; Quality of service; Precoding; Geographical fairness; Successive convex approximation; Robust optimization; S-procedure

Abstract :

[en] In this work, we consider a typical scenario in a harsh urban propagation environment which is typical for a smart city scenario where multiple reconfigurable intelligent surfaces (RISs) are deployed in different hotspot areas to overcome signal blockage between the base station and users. Our goal is to ensure uninterrupted service availability to users in different hotspot areas regardless of their location. Consistent service availability can be achieved by guaranteeing that each RIS deployed in a hotspot area can support a certain number of users. This plays a critical role in smart city applications in the context of emergency communications and ubiquitous connectivity since the design ensures service availability to as many users as possible in all relevant locations. Taking into consideration the challenges in obtaining channel state information (CSI) given the passive nature of RIS and dynamic environments, we formulate a robust fairness problem to maximize the minimum expected number of served users in proximity to each RIS while considering the available transmit power and the worst-case quality of service (QoS) constraints within the bounded CSI error model framework. The resulting problem is a mixed integer non-convex program which is highly coupled and challenging to solve in polynomial time. Thus, we resort to binary variable relaxation, convex approximation techniques, and alternating optimization to tackle the problem. Additionally, we handle the semi-infinite uncertainty constraints by employing the S-procedure and general sign-definiteness. Simulation results demonstrate the effectiveness of the proposed design in obtaining consistent and reliable service in different hotspot areas compared to the relevant benchmark schemes. In addition, the proposed design shows flexibility in serving users with their target QoS given different channel uncertainty levels.

Disciplines :

Computer science

Author, co-author :

ZIVUKU, Progress ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Ottersten ; University of Luxembourg

BABIKIR MOHAMMAD ADAM, Abuzar ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

NTONTIN, Konstantinos ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

Kisseleff, Steven ; Fraunhofer Institute for Integrated Circuits IIS, Germany

HA, Vu Nguyen ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom ; University of Luxembourg

CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom ; University of Luxembourg

OTTERSTEN, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Ottersten

External co-authors :

yes

Language :

English

Title :

Geographical Fairness in Multi-RIS-Assisted Networks in Smart Cities: A Robust Design

Publication date :

2025

Journal title :

IEEE Transactions on Communications

ISSN :

0090-6778

eISSN :

1558-0857

Publisher :

Institute of Electrical and Electronics Engineers (IEEE)

Pages :

1-1

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Security, Reliability and Trust

Additional URL :

http://xplorestaging.ieee.org/ielx8/26/5497975/10820966.pdf?arnumber=10820966

FnR Project :

FNR14773976 - Reconfigurable Intelligent Surfaces For Smart Cities, 2020 (01/06/2021-31/05/2024) - Bjorn Ottersten

Funders :

FNR - Fonds National de la Recherche

Available on ORBilu :

since 06 January 2025

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