A framework for evaluating proposed technologies for next-generation wireless systems

TLDR: A framework for evaluating proposed technologies for next-generation wireless systems, using systems modelling approaches, mixes hard systems modelling into a soft approach providing a method for managing complexity and facilitating learning points for the development of future wireless systems.

Abstract: This thesis presents a framework for evaluating proposed technologies for next-generation wireless systems, using systems modelling approaches. First, the socio-economic system is explored addressing the challenging question of how to develop a strategy for research investment in the complex development space of Fifth Generation (5G) era technologies. By the application of Problem Structuring Methods, and focusing on developing a clearer understanding of the industry landscape, a methodology for strategic decision making is proposed. The approach is used to identify key areas of wireless technology research for the 5G era. Subsequently, identified key areas of wireless technology including, full-duplex, beamforming, clear channel assessment and transmission power adaptation are explored in single and multi-hop wireless networks. A novel conceptual simulation modelling methodology is proposed and applied to investigate the performance impact of these technologies when implemented in the context of Carrier Sense Multiple Access with Collision Avoidance wireless networks. The methodology is designed to aid researchers in the environment of a corporate research and development lab with the goal of developing innovations and intellectual property that can bring commercial success. Whilst each technology is capable in principle of improving system performance, often the gain is limited when implementing in a network environment. The methodology is used to propose strategies for maximising performance gain with quantitative results to support the conclusions. The framework mixes hard systems modelling into a soft approach providing a method for managing complexity and facilitating learning points for the development of future wireless systems.