AI-Based Enhancement of Base Station Handover

With exponential increase in digital data transfer and growing consumer base, there is a need to efficiently handle large set of users. In addition to that, we face a lot of problems due to poor signal connectivity during travel. Though operators look towards plantation of additional base stations or additional hardware, there is also a need to efficiently regulate the existing ones to utilize the resources in an effective manner thereby avoiding band exhaustion and also facilitating the handover of mobile stations in travel. When a mobile device is at travel, the device determines the next base station to which it has to be connected using the Received Signal Strength and requests the same. Therefore, prediction of the next potential base station in advance leads to a hexa-directional ambiguity (the mobile station may move to any of the adjacent 6 hexagonal cells in future which can't be predicted easily in advance). Ping-pong effects during the handovers are also a problem. Few other systems have been introduced which requires tracking of the device over a period of time to determine the trajectory thereby predicting the next potential base station in advance leading to privacy concerns. An addition to the system is proposed that could manipulate these handovers in an efficient manner while conserving privacy. We propose a triangular way of determining the next potential base station in advance This method eliminates the hexa-directional ambiguity and determines the next one perfectly in advance thereby increasing the efficiency manifold Reservation of band is done based on the prediction thereby reducing connectivity delays. Improving the existing ones manifold will reduce the requirement of additional hardware therebyfacilitating sustainable development by reducing the dangerous impacts on Mother Nature. (C) 2019 The Authors. Published by Elsevier B.V.