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A platform for research: civil engineering, architecture and urbanism
Beamforming techniques for next generation communication systems
Digital communications, either voice, messaging, video or other media content, have become an essential part of the modern society. As a consequence, the demand for advanced digital communication systems is increasing. Currently, mobile networks have a total of 7.3 billion subscriptions worldwide, from which 1.4 billion belong to the latest fourth generation (4G) network. In 2022, 8.9 billion subscriptions are expected, being 4.3 billion for 4G. Moreover, applications that require a high throughput such as virtual reality (VR) are also foreseen. The communication systems should also fit increasing demands of machine to machine communications, including Internet of things (IoT) and vehicular ad hoc networks (VANETs), such as vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communications. To support this demand, a 100 fold increase in data rate is being considered as a requirement for future fifth generation (5G) standards, whose deployment starts as early as 2020. One of the key technologies to allow for a better exploitation of the scarce spectrum is the incorporation of antenna arrays into communication devices. In particular, this work focus on beamforming techniques that can virtually adapt the irradiation pattern of the antenna array based device in order to amplify the signals from a desired direction and to cancel out the interference from other angles. Therefore, beamforming provides the spatial separation of multiple sources sharing the same spectrum band, and can also be applied to mitigate jamming and radio interference. In this work beamforming techniques and frameworks to deal with colored noise scenarios, uniform rectangular arrays (URA) and broadband scenarios are developed. For colored noise scenarios, prewhitening techniques, rank reduction techniques and a transformation are used. For the URA and the broadband scenarios, a tensor notation is adopted and the parallel factor analysis (PARAFAC) tensor decomposition is used along with frequency invariant beamformers (FIBs). Finally, a ...
Beamforming techniques for next generation communication systems
Digital communications, either voice, messaging, video or other media content, have become an essential part of the modern society. As a consequence, the demand for advanced digital communication systems is increasing. Currently, mobile networks have a total of 7.3 billion subscriptions worldwide, from which 1.4 billion belong to the latest fourth generation (4G) network. In 2022, 8.9 billion subscriptions are expected, being 4.3 billion for 4G. Moreover, applications that require a high throughput such as virtual reality (VR) are also foreseen. The communication systems should also fit increasing demands of machine to machine communications, including Internet of things (IoT) and vehicular ad hoc networks (VANETs), such as vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communications. To support this demand, a 100 fold increase in data rate is being considered as a requirement for future fifth generation (5G) standards, whose deployment starts as early as 2020. One of the key technologies to allow for a better exploitation of the scarce spectrum is the incorporation of antenna arrays into communication devices. In particular, this work focus on beamforming techniques that can virtually adapt the irradiation pattern of the antenna array based device in order to amplify the signals from a desired direction and to cancel out the interference from other angles. Therefore, beamforming provides the spatial separation of multiple sources sharing the same spectrum band, and can also be applied to mitigate jamming and radio interference. In this work beamforming techniques and frameworks to deal with colored noise scenarios, uniform rectangular arrays (URA) and broadband scenarios are developed. For colored noise scenarios, prewhitening techniques, rank reduction techniques and a transformation are used. For the URA and the broadband scenarios, a tensor notation is adopted and the parallel factor analysis (PARAFAC) tensor decomposition is used along with frequency invariant beamformers (FIBs). Finally, a ...
Beamforming techniques for next generation communication systems
2017-05-09
Theses
Electronic Resource
English
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