Modeling and analysis of wireless information and energy transmission in MIMO systems.

Nono Kamga, Gervais (2018). Modeling and analysis of wireless information and energy transmission in MIMO systems. Thèse. Québec, Université du Québec, Institut national de la recherche scientifique, Doctorat en télécommunications, 91 p.

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Résumé

The next generation of wireless communications systems are expected as a revolution in the area of telecommunications, where they promise tremendous network capacity, huge data rates for very high number of end users and simultaneous supported connections with large sensor deployments, as well as very high gains in terms of spectral efficiency, energy efficiency, latency, and coverage. To allow the emergence of such networks, it is necessary to satisfy the fundamental needs of available energy supply, and spectrum availability/efficient usage. The wireless power transfer (WPT) techniques are shown to be strong, reliable with the potential to replace the currently-used yet painstaking wired charging; providing the end users with almost unlimited energy sources. Due the outstanding advantages these techniques promise, both academic world and the industry are actively investigating solutions for allowing networks to implement WPT, where the operating nodes can simultaneously harvest/transmit energy, while processing data signals. On the other hand, for solving the spectrum efficient usage/availability issue, improving the spectral efficiency has been extensively investigated through the several past years, and represents a very strong solution. In this regards, regular multiple-input multiple-output (MIMO) antenna technique, since the last decade, and, more recently, massive MIMO; have been widely exploited and are powerful wireless technologies for tremendously improving the spectral efficiency, and even energy efficiency. Thanks to the above capabilities of regular- and massive MIMO, and of the WPT, these techniques have become strong candidates for the development and the emergence of the next-generation wireless communications networks. Considering that the theoretical understanding and practical deployment of these systems requires to first evaluate their performances, while taking into account various key propagation and networks characteristics; this thesis aims to provide a framework for channel modeling and performance analysis of next-generation wireless communications networks, with information processing and energy harvesting, and implementing regularand/ or massive MIMO. More specifically, as a first step, in the initial part of the thesis, a generalized analysis for the spectral efficiency of both regular- and large-scale (massive) MIMO systems is performed, where major radio-propagation characteristics and antenna-array parameters are taken into account, including path loss, shadowing effect, multi-path fading, antenna correlation, antenna polarization, environmental cross-polarization coupling and antenna cross-polarization discrimination. The second step of the thesis conducts the modeling and performance analysis of massive MIMO systems in terms of spectral efficiency, in both the centralized and the distributed configurations, referred to as centralized (C-MIMO) and distributed (D-MIMO), respectively. This is based on a novel comprehensive channel model, which accounts for real environmental parameters and antenna characteristics, namely, path loss, shadowing effect, multi-path fading and antenna correlation. In the third part of the thesis, WPT is investigated. This is done by considering massive MIMO WPT systems, operating in millimeter wave (mmWave) bands; where both the rainy and non-rainy conditions are considered, and the channel model accounts for rainfall effects, path loss and fast fading. Then, finally, the fourth step of the thesis investigates the performance of networks with simultaneous energy harvesting and information transmission. The considered system implements massive MIMO, and operates in the mmWave bands, while accounting for rainfall effect, path loss and fading. While conducting the work, the adopted methodology consists of modeling the channel, by considering major radio-propagation characteristics and antenna-array parameters; then conducting the performance analysis, in terms of the spectral efficiency (in the first two parts of the thesis), the harvested energy (in the third part), and the throughput (in the fourth part). These metrics are all derived in closed-form then studied in various key practical scenarios, to obtain important insights which are not only highly important for the comprehension of the different technologies in future networks, but will also benefit system designers and manufacturers in the design of these systems and their operating nodes.

Type de document:	Thèse Thèse
Directeur de mémoire/thèse:	Aïssa, Sonia
Mots-clés libres:	wireless power transfer; multiple-input multiple-output antenna; MIMO; WPT;
Centre:	Centre Énergie Matériaux Télécommunications
Date de dépôt:	29 janv. 2019 15:57
Dernière modification:	29 sept. 2021 19:48
URI:	https://espace.inrs.ca/id/eprint/7647

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