Kabir, Mahmoud Tukur; (2019) Full Duplex Systems: Multi-objective Optimization Designs for 5G and Beyond. Doctoral thesis (Ph.D), University College London.

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Abstract

Full duplex (FD) communication is widely recognized as one of the key technologies for the fifth generation (5G) of wireless communication systems. By allowing simultaneous transmission and reception, FD has the potential to drastically improve the spectral efficiency of the half-duplex (HD) communication networks. Moreover, the 5G communication network holds the promise of supporting a wide range of services with different strict communication requirements such as latency, reliability and data rate, that aim at improving capacity, reliability, and energy efficiency, while reducing latency and massively increasing connection density. For this reason, in this thesis we study novel designs for different promising 5G technologies in multi-user FD communication scenarios. This thesis firstly extends the concept of interference exploitation to multi-user FD systems, where existing works have focused on suppressing interference. In this regard, we propose a multi-objective optimization problem (MOOP) to study the tradeoff between the total downlink and uplink transmit powers. The MOOP approach allows for the power saved to be traded off for both uplink and downlink power savings, leading to an overall energy efficiency improvement in the wireless link. In addition, this thesis explore robust designs in a multiuser FD system with simultaneous wireless information and power transfer (SWIPT). In particular, we propose MOOP designs to jointly minimize the total uplink and downlink transmit power, and maximize the total harvested energy in a FD system with imperfect channel state information for both interference suppression and constructive interference. Furthermore, we investigate the offloading energy and latency trade-off in a multiuser FD mobile-edge-computing (MEC) system that performs both data transmission and MEC through MOOP designs. Subsequently, we study the optimal beamforming and resource allocation problem in a multiuser FD system, where we design a power efficient algorithm to minimize the long-term sum transmit power under delay constraints. Comprehensive simulation results and analysis show the improved performance of the introduced techniques compared to the state-of-the-art techniques, which validates the effectiveness of these techniques.

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