"Towards Reliable, High Throughput and Low Power Wireless Communication Systems"

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Wireless communication systems are progressing very rapidly and there is always requirements on higher throughput, better reliability and lower power consumption. These essential requirements can be investigated by looking at the spatial position of wireless nodes. Obtaining the actual position of nodes is not a trivial task for a large and dense network. Therefore, stochastic spatial modelling of the network should be considered for the analysis of system requirements and parameters which emulates the actual behavior of handheld mobile users. Consequently, the concept of random network is gaining wide traction in wireless communications. This proposal is concentrated in the direction of random networks by considering interplay between channel loss, interference and mobility. To date, analytical results have been determined for centralized network over the assumption that wireless nodes are static. In this research, we are interested in expanding our understanding of the network by quantifying the overall outage probability based on large scale fading and interference for various random networks. Furthermore, the impact of mobility models are considered on various system parameters for wireless networks. In part, the challenge in this endeavor is to discover well behaved mobility models that are reflective of user patterns for urban and suburban mobile cells. Additionally, we want to analyze and implement a random wireless sensor network and assess its detection capability. The overall research resulting from this proposal will serve as an essential analytical tool for deriving predictive models that have the ability to forecast the impact of the channel loss. These models are anticipated to help system analysts and deployment engineers in planning smart networks. Also, the outcome can be used for creating deployment subroutines that can assist industry professionals during the design process over diverse channel environments.