Energy optimization of heterogeneous fifth generation mobile network

Abstract

Fifth Generation wireless communication is experiencing spontaneous growth over the past few years. The attractiveness of mobile devices has influenced to increase growth. Thus, Power optimization and interference management in ultra-dense small cell-based fifth-generation mobile networks are critical issues. To provide service to these vast users, small cell deployment is a popular solution in Fourth Generation (4G) and Fifth Generation (5G) cellular network systems. Power optimization of mobile radio systems has gained the attention of network operators because energy costs make up a huge part of operational expenditure. The mobile industry has witnessed the challenge of cost-effectively supporting the incensement of traffic demand over the subsequent years. The objective of this work is to minimize the energy consumption of the network. Hence, various energy-efficient network architectures are proposed. Efficient spectrum utilization is also considered in the work. The offloading strategies are also proposed to reduce the energy consumption of mobile devices. The application part of this thesis also demonstrates a 5G based smart room architecture. Research exertion has turned up to a solution end through the following key contributions. newline1. A literature review is performed for power-efficient indoor path loss models. This review provides power-efficient case studies of indoor path loss models. Using these models based on the case studies power consumption of indoor areas and buildings is decreased. newline2. Densification management for 5G mobile network based on the femto-cloud network. The cause factors of densification and its effects are illustrated in this part. Concerning network densification, a novel solution is proposed, which provides low-power cloud service access. Different types of femto-cloud network scenarios along with their usage as a solution to the densification in the cellular network are discussed. newline3. A weighted majority and auction game-based green ultra-dense micro-femtocell network scenario is