Employment Of A Smart Sleep Strategy For Improving Energy Efficiency In 5G Heterogeneous Networks

With the change of times a new era of mobile communications began to surface, the 5G. In addition to 4G, some of the ambitious improvements related to future communications are causing more and more research attention. As one of the promising technology of 5G network, UDN (Ultra Dense Network) will play a key role in increasing not only the average user throughput but also the system capacity with hyper dense deployment of small cells (SC) especially in the form of FAPs (Femto Access Points). Although,random and dense deployments of FAPs may prompt arduous inter-cell interference,that consequently reduces spectral efficiency.Therefore, uncontrolled grownt of FAPs may not obtain a net throughput gain Besides,acknowledging the numerous FAPs deployed in UDNs results in considerable energy consumption,therefore the amount of FAPs deployed deserve more considerations Nonetheless, some existing works present a consistent result in regard of the optimal FAPs density for a considerable User Equipment (UE)density. In this thesis we aim to present a realistic scenario of randomly distributed FAPs in UDN .And,without manual configuration, realize an active FAP selection algorithm united with a clustering design to enhance both spectral and energy efficiency (EE). We performed System-level simulations and our results approved that our algorithm obtained satisfactory performance and achievements.