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Projecte llegit

Títol: Reconfigurable Intelligent Surfaces Control Signaling

Estudiants que han llegit aquest projecte:

Director/a: GARCÍA LOZANO, MARIO

Departament: TSC

Títol: Reconfigurable Intelligent Surfaces Control Signaling

Data inici oferta: 07-05-2024     Data finalització oferta: 07-05-2024


Estudis d'assignació del projecte:
    DG ENG AERO/SIS TEL
Tipus: Individual
 
Lloc de realització: ERASMUS
 
        Supervisor/a extern: Emil Björnson
        Institució/Empresa: Kungliga Tekniska Högskolan
 
Paraules clau:
Reconfigurable Intelligent Surfaces
 
Descripció del contingut i pla d'activitats:
This project focuses on optimizing the performance of Reconfigurable Intelligent Surfaces (RIS) within communication networks. The core task involves the base station computing the optimal configuration for the RIS. Once this optimal configuration is determined, the project will design a system to feedback this configuration to the RIS effectively.

The system will consider various techniques for encoding and transmitting the configuration data, assessing their reliability and efficiency. A significant part of the project involves analyzing how the Signal-to-Noise Ratio (SNR) varies with the number of bits used in the feedback process. This analysis will help determine the minimum bit-depth required to maintain a high-quality signal without sacrificing performance. This involves experimenting with different configurations and feedback methods to balance system robustness and ease of implementation. The findings of this project could lead to recommendations for standards in RIS configuration feedback

The project will utilize simulation tools to model the behavior of the SNR as the feedback mechanism's bit depth changes. Different scenarios and environmental conditions will be simulated to understand better how these factors influence the RIS's performance. The outcome will contribute to more efficient designs of RIS-enabled networks, potentially reducing energy consumption and enhancing overall communication quality.

By the end of the project, the student will have gained deep insights into the dynamics of advanced communication systems and hands-on experience in the practical challenges of implementing new technologies in telecommunications. This project not only stands to contribute to academic knowledge but also aims to provide practical solutions applicable in the industry.

The Thesis was conducted within an Erasmus+ mobility program, specifically at the Kungliga Tekniska Högskolan (Sweden).
 
Overview (resum en anglès):
The development of mobile communication technologies beyond 5G tries to achieve strict
requirements, such as ultra-high data rates, reduced latency, high reliability, and extensive
coverage. A rising technology is Reconfigurable Intelligent Surfaces (RIS), which can ma-
nipulate electromagnetic waves to improve signal quality without the need for additional
Base Stations (BSs). This thesis studies the feedback control signaling required for op-
timal RIS configuration, focusing on minimizing the signaling overhead while maximizing
Signal-to-Noise Ratio (SNR).
Two methods are explored: Phase-Shift Quantization and Codebook-Based methods. The
Phase-Shift Quantization method studies the impact of discrete phase shifts on each of
the elements of the RIS on SNR, demonstrating that with increased resolution, the SNR
performance improves. On the other hand, the Codebook-Based method predefines a set
of configurations of the RIS, known as the codebook, to reduce the feedback overhead. An
optimized version of the Codebook method is also developed, which takes into account a
typical position of BS and User Equipment (UE) in mobile networks, reducing the codebook
size and improving efficiency.
The Rician fading model is also studied in the thesis, to simulate more realistic urban com-
munication environments, comparing its impact on SNR with the traditional Line-of-Sight
(LoS) scenario. While the presence of multipath components in Rician fading scenarios
increases the dispersion in the SNR values, the RIS still performs sufficiently well.
The results show the importance of making control signaling as efficient as possible to
achieve an optimal balance between maximizing SNR and minimizing resource usage,
which is the trade-off studied in this thesis.

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