PhD Student Position IETR/Université de Rennes 1 - September 2018

**sheikheshahr** · May 7th, 2018 10:17 PM

[SIZE=small] PhD Student Position IETR/Université de Rennes 1 - September 2018[/SIZE]

Signal processing aspects of joint energy and spectrum collaboration for future wireless communications networks

[SIZE=small]Laboratory:[/SIZE]

[SIZE=small]IETR – Institute of Electronics and Telecommunications of Rennes.[/SIZE]

[SIZE=small]The PhD Student will be located in CentraleSupélec premises in Rennes.[/SIZE]

[SIZE=small]Abstract:[/SIZE]

[SIZE=small]With wireless and mobile communications applications playing a crucial role in everyday life, meeting the connectivity and throughput demands that is for foreseen for 5G and beyond 5G networks requires efficient spectrum sharing techniques. As a result, aggressive frequency reuse and new Non-Orthogonal Multiple Access (NOMA) schemes [1] are expected to be in the spotlight of the wireless communications research community.[/SIZE]

[SIZE=small]At the same time, the pressing need for reducing carbon emissions, calls for new energy efficient/energy aware communications techniques. To meet this need, currently several solutions are investigated exploiting renewable energy resources and renewable energy sharing [2], RF-signal energy harvesting/recycling, and advanced Base Station on-off switching techniques as means towards achieving energy efficiency.[/SIZE]

[SIZE=small]While both the above research areas are being currently investigated, the potential coming from the fully- joint investigation of spectrum and energy resources still remains unexploited. The focus of this [/SIZE]

[SIZE=small]PhD will be on the intersection of these two research areas with particular focus on the following research direction:[/SIZE]

[SIZE=small]Design of collaborative/multipurpose signal processing/physical layer techniques[/SIZE]

[SIZE=small]The use of non-orthogonal spectrum sharing techniques along with the expectation for massive connectivity demand, not only allows for the efficient exploitation of bandwidth resources by multiple users, but also contributes towards creating an interference-rich environment that can be used by power-limited users for energy harvesting purposes. With this in mind, this PhD thesis will investigate the design of physical layer (e.g. beamforming) techniques aiming at tackling the multifaceted problem of minimizing power consumption while satisfying 1) [/SIZE][SIZE=small]throughput constraints [/SIZE][SIZE=small]as set by active (content requesting) users, as well as 2) [/SIZE][SIZE=small]received/harvested energy constraints [/SIZE][SIZE=small]as set by power-limited RF-energy harvesting users. Scenarios accounting for limited Channel State Information (CSI) availability will be considered, as well as scenarios accounting for different levels of CSI availability. Initially, the focus will be on the design of techniques not presuming Base Station collaboration. Extending this initial approach, the aim will shift towards investigating the benefits of Base Station collaboration. Different collaboration policies will be considered exploiting: 1) [/SIZE][SIZE=small]Energy based collaboration [/SIZE][SIZE=small]exploiting architectures for jointly handling/trading renewable energy resources commonly accessible to the network base stations (e.g. the energy aggregator based architecture introduced in [2]), 2) [/SIZE][SIZE=small]Spectrum based collaboration [/SIZE][SIZE=small]based on the use of Multicell designs exploiting Multicell-MIMO techniques. The benefits and limitations of system designs based on these two [/SIZE]

[SIZE=small]policies will be investigated, and best practices accounting for CSI exchange and computational complexity limitations will be recognized.[/SIZE]

Energy Harvesting, Energy recycling.