Abstract
An artificial neural network (ANN) and affinity propagation (AP) algorithm based user categorization technique is presented. The proposed algorithm is designed for closed access femtocell network. ANN is used for user classification process and AP algorithm is used to optimize the ANN training process. AP selects the best possible training samples for faster ANN training cycle. The users are distinguished by using the difference of received signal strength in a multielement femtocell device. A previously developed directive microstrip antenna is used to configure the femtocell device. Simulation results show that, for a particular house pattern, the categorization technique without AP algorithm takes 5 indoor users and 10 outdoor users to attain an error-free operation. While integrating AP algorithm with ANN, the system takes 60% less training samples reducing the training time up to 50%. This procedure makes the femtocell more effective for closed access operation.
Highlights
The number of cellular users has increased significantly over the last few decades
This paper focuses on unwanted user admission control in femtocell to decrease the unwanted handover and signaling congestion
affinity propagation (AP) algorithm is the best candidate in this process as it selects the number of clusters by itself analysing the samples in every simulation
Summary
The number of cellular users has increased significantly over the last few decades. To some extent, the cellular operators were able to provide the increasing demand of voice and data services. The increasing number of indoor data traffic (more than 70%) has made it quite difficult for the operators to provide quality coverage using the existing macrocell [1]. An alternative to this is that femtocell opens up a costeffective solution by offloading excess voice and data traffic. Among the three access control mechanisms, closed access allows only particular users (mainly indoor users) to get access to the network [6,7,8,9] In such technique, the outdoor users cannot get access to the femtocell and the mobility event reduces.
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