An ANN Based Call Handoff Management Scheme for Mobile Cellular Network

Abstract

Handoff decisions are usually signal strength based because of simplicity and effectiveness. Apart from the conventional techniques, such as threshold and hysteresis based schemes, recently many artificial intelligent techniques such as Fuzzy Logic, Artificial Neural Network (ANN) etc. are also used for taking handoff decision. In this paper, an Artificial Neural Network based handoff algorithm is proposed and its performance is studied. We have used ANN here for taking fast and accurate handoff decision. In our proposed handoff algorithm, Backpropagation Neural Network model is used.The advantages of Back propagation method are its simplicity and reasonable speed. The algorithm is designed, tested and found to give optimum results.Comment: 11 pages. arXiv admin note: text overlap with arXiv:1004.1794 by other author

A Survey of Machine Learning Techniques Applied to Self-Organizing Cellular Networks

“…In the context of cellular networks, supervised learning can be applied in several domains, such as: mobility prediction [27]- [30], resource allocation [31]- [33], load balancing [34], HO optimization [35], [36], fault classification [37], [38] and cell outage management [39]- [42] Supervised learning is a very broad domain and has several learning algorithms, each with their own specifications and applications. In the following, the most common algorithms applied in the context of cellular networks are presented.…”

“…In the context of cellular systems, NNs are applied specially in the self-optimization and self-healing scenarios, in terms of resource optimization [31]- [33], [55]- [58], mobility management [27], [28], [44], [59]- [63], HO optimization [35], [36], [64], [65], and cell outage management [41]. For more information about neural networks, how they work, basic properties and learning methods readers should go to [26], [53], [66].…”

“…One possible solution to the optimization of HO parameters, can be in terms of NN, as seen in [35], [36], [64]. In [35], for example, the authors develop a new HO algorithm based on probabilistic NNs and compare it with the current hysteresis method.…”

“…Results show that the NN reduces the number of HOs performed, reducing the cost of signaling of the whole network. On the other hand, authors from [36], [64], propose algorithms to optimize the HO procedure and better determine when an user needs a HO.…”

Model of Handover and Traffic Based on Cellular Geometry with Smart Antenna

“…The handover is key feature and unique feature of the cellular mobile communication system [1][2][3]. The handover means the process of a call from one cell to another cell when the user moves in the cellular coverage area.…”