A Stochastic Programming Model for Resource Allocation in LTE-U Networks

Abstract

Long Term Evolution in unlicensed bands (LTE-U) has emerged as a promising solution to address the unprecedented growth of mobile data traffic. LTE-U extends the advantages of LTE protocols to the 5GHz unlicensed bands, which are primarily used in USA by IEEE 802.11a/n/ac WLANs and radar systems. However, LTE-U deployment is a challenging task for cellular operators due to several regulations and factors (e.g., uncertainty of available capacity). In this paper, we present a stochastic programming model for the allocation of LTE-U resources that maximizes the service capacity for LTE users, while controls the risk of collision with Wi-Fi traffic by operating under a predefined minimum collision probability.