| Author: | Liu, Shiqian |
| Title: | Intelligent reflecting surface aided wireless communications |
| Advisors: | Zhang, Shuowen (EIE) |
| Degree: | M.Sc. |
| Year: | 2022 |
| Subject: | Wireless communication systems Hong Kong Polytechnic University -- Dissertations |
| Department: | Department of Electronic and Information Engineering |
| Pages: | iv, 33 pages : color illustrations |
| Language: | English |
| Abstract: | With the rapid development of wireless applications, such as internet-of-things (IoT), people's demand for the communication data rate is increasing fastly. Intelligent reflecting surface (IRS) has been recently proposed to solve this problem. An IRS is a planar surface that can alter the amplitude and phase of the incident wireless signal, thus controlling the wireless channel. Moreover, IRSs can be flexibly deployed in the environment on walls, furniture, building façade, surface of vehicles and so on, because of its small size and light weight. However, new problems also emerge in IRS-aided communications. Particularly, we focus on the deployment problem of IRSs and study the achievable rate of users under different deployment method. First, we consider a multi-user system with only single-reflection channels where the signals are reflected by only one IRS. We compare the sum achievable rate with centralized IRS deployment and distributed IRS deployment under time division multiple access (TDMA), and show that the centralized deployment achieves higher rate under both Rayleigh fading and line of sight (LOS) channels. Then, we consider a multi-user system with double-reflection channels where the signals can be reflected twice by two cooperative IRSs. We aim to maximize the minimum achievable rate among two users, by optimizing the number of IRS elements placed near each user and the access point (AP). We derived the optimal solution, which is also examined by simulations using MATLAB. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 6516.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 4.99 MB | Adobe PDF | View/Open |
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