Abstract
Wireless communication networks have substantially affected the way people communicate nowadays, since their initial deployment of wireless network systems some 40 years ago. The significant demands for ubiquitous connectivity throughput will always increase in terms of high data rates, high reliable communication and high quality of service. However, the bandwidth and frequency limitations of wireless communication system have posed fundamental challenges to the system designers. In addition, other physical manifestations, such as multipath fading, heavy shadow fading, pathloss and interference among users, can also affect the system improvement. In order to improve the system throughput including data rate, spectral and energy efficiency, a significant number of research papers have been proposed to tackle the problem above, for example, diversity techniques, multiple antenna systems and multiple-input multiple-output (MIMO) systems. Nevertheless, when the number of transmitted user signals increases, the inter-user interference in the system model also grows. As a result, these conventional technologies cannot work productively. Massive MIMO technology is one of the most effective technologies developed in recent years which has been intensively investigated in both academia and industry to address these issues.A massive MIMO system includes one base station/relay equipped with very large number of antennas (eg., a few hundreds antennas) that serves multiple users (eg., tens of users) at the same time-frequency band. For that reason, massive MIMO technology has become a key candidate for fifth generation (5G) wireless communication system. In other words, massive MIMO technology offers potential improvement in spectral and energy efficiency by utilizing relatively simple linear processing, such as zero-forcing (ZF) and/or maximum-ratio (MR) processing at the base station/relay.
In parallel with massive MIMO enhancement, multi-way relaying systems have also been playing an important role in wireless communication system in the past decade. These systems can provide extreme coverage expansion in large geographical areas and improve the robustness against channel variations in the case of user power limitation. Multi-way relying systems can be considered as a bridge to transfer (decode-and-forward and amplify-and-forward) bearing-data among geographically separated users. Furthermore, multi-way relaying systems offer higher spatial diversity compared to that of one-way or two-way relaying do. Hence, these systems have been considered for diverse applications, such as wireless conference and power control in heterogeneous cellular networks.
Inspired by the aforementioned discussion, this thesis concentrates mainly on studying the combination between multi-way relaying channels and massive MIMO technology, which is commonly named as “Multi-way relaying channel with massive MIMO”. We will address two frequently appearing questions related to these systems, for example, “How does the system work?” and “What are the fundamental advantages of this system?”. We will investigate further details and elaborate on these two questions in the next chapters of this thesis. The thesis develops theoretical analysis, algorithm and simulation technique to boost the performance of multi-way massive MIMO relaying compared to the state-of-the-art.
| Date of Award | Jul 2019 |
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| Original language | English |
| Awarding Institution |
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| Sponsors | Binh Duong & Eastern International University (EIU) |
| Supervisor | Michalis Matthaiou (Supervisor) & Hien-Quoc Ngo (Supervisor) |