Alliance based approach for reducing saturation and congestion in LTE networks

Abstract:
Telecommunication networks have become increasingly important in our society. To best satisfy the needs and interests of customers, the operators must be able to offer high quality services at the best price. However, users are often faced with the problems of network saturation and congestion, which considerably limits the transfer of their calls to destination. To deal with this, we propose in this paper a new approach of cooperation between the antennas evolved Node Base station (eNBs) of a Long Term Evolution (LTE) network in order to minimize and reduce the saturation of these eNBs and thus avoid as much as possible congestion in the network. This approach, called Approach based Defensive Alliance for Reducing ENBs Saturation (ADARES), is based on the concept of defensive alliances in graphs that ensures an effi-cient collaboration between the eNBs of an operator or several operators in order to best transmit the calls made by the users. For validation, we propose two analytical models based on Markov chains to compare our “ADARES” approach with a concurrent approach Load Balancing via Coalition Formation (LBCF). The obtained analytical comparison results are favorable to “ADARES” by showing its performance compared to “LBCF” in terms of successful call transmission. This is mainly made possible in our approach thanks to the collaboration between the eNBs of the network which is carried out based on the principle of the defensive alliances in graphs.