DEVELOPMENT OF ENERGY EFFICIENCY TECHNIQUES IN COGNITIVE RADIO HETEROGENEOUS WIRELESS NETWORKS

Abstract

The mobile industry continued to scale rapidly since 2014, in which 3.6 billion unique mobile subscribers have been recorded. During the first quarter of 2017, more than half of the world’s population had a mobile subscription up from just one in five 12 years ago, to extra 109 mobile service customers are anticipated to join the service in the year 2020 achieving worldwide global penetration rate of about 60%. Statistically speaking, it was found that 7.1 billion active User Sims worldwide at the end of 2014, in addition to more than 243 million active Machine-to-Machine (M2M) connections. “Green Communications (GC)” has become one of the main topics in the field of wireless communication research due to its contributions in saving the environment. The term “Energy Efficiency (EE)”, “Normalized Energy Efficiency (NEE) is pursuing methods for saving energy consumed in accomplishing communications, which reduces pollution and preserves natural resources. Forthcoming mobile Generations will challenge many tradeoffs between the EE demands against QoS, especially throughput. Cognitive Radio (CR) is one of the elective techniques to be recognized as a candidate technology to implement Broad Band Communications (BBC) with EE. This Thesis objectives are to achieve a contribution in finding a way for enhancing performance of heterogeneous wireless networks using CR techniques under the umbrella of EE, NEE for performing communications