IJSRST196412 | Received : 01 May 2019 | Accepted : 20 May 2019 | May-June-2019 [ 6 (3) : 298-309 ] © 2019 IJSRST | Volume 6 | Issue 3 | Print ISSN: 2395-6011 | Online ISSN: 2395-602X Themed Section: Science and Technology 298 Insights into Frequent-Handovers and Interference Algorithms in Advanced Heterogeneous Networks Akshay Malhotra 1 , Garima Saini 2 1 Research Scholar, Electronics and Communication Department, NITTTR Chandigarh, India 2 Assistant Professor, Electronics and Communication Department, NITTTR Chandigarh, India ABSTRACT The Next Generation Advanced Heterogeneous Networks are the trending networks for future 5G networks. In earlier cellular networks such as Long-Term Evolution (LTE), there was dense deployment of cells and users moving at high velocities, handovers occurred frequently. While dense deployment of small cells in advanced Hetnets would result in unnecessary handovers which happens due to short sojourn time in target small cell, therefore resulting in degraded experience for the user. For improving the net efficiency of the cellular networks, small cells i.e. Femtocells are being currently deployed in Advanced network and are found to be a better solution for bandwidth limitation and coverage problems. Though, the use of femtocell also comes with a lot of limitations when they are deployed in a dense and highly mobile using environment. User equipment in such environment faces various problems such as frequent and unnecessary handovers, interference between femtocells, interference between femtocell and macrocell, power outage and security issues. There is a need of a more efficient method to remove the existing problems and provide a more efficient method to reduce unnecessary handovers, solve interference management issues along with focussing on power management of the cells. In order to know about latest trends to curb the problems and outrage of new problems arising from the same, will be reviewed further in this paper. Keywords : Heterogeneous networks, LTE, Networks, Femto cells, Handover, Interference, BAT Algorithm. I. INTRODUCTION The mobile user number’s and their demands have been increasing exponentially over the last few years. Due to the increasing number of mobile users traffic load has also increased which has lead to higher bandwidth consumption, applications like multimedia data, streaming video etc. To deal with the increased traffic, planned network planning and its optimization must be done. As the technologies develop, it lead to improvement of technologies smart devices, laptops, tablets, etc. which support high end applications. Before, the main concern was of Radio Frequency engineers to satisfy the need of customer for the voice services by doing planned frequency planning. That is why more efforts have been put in for frequency planning and improved radio spectrum utilization. According to the latest research by 2021 figure of mobile devices will reach up to 1.6 billion and there will be a 53% increase in mobile data volume from 2016 to 2021. Mobile video would use 60% to 78% of total data although mobile web will use 14%, mobile audio will be using up to 5% and mobile file sharing will consume 2% of total data. The prime parameter in mobile network is the utilization of spectrum and to support higher data rates along with improving the