Interference management using cognitive base-stations for UMTS LTE

TLDR

Traditional interference management schemes are insufficient in isolated or multi‑cell LTE networks. The study aims to show that cognitive base‑stations can intelligently allocate resources and mitigate co‑channel interference in LTE networks, proposing two game‑theoretic mechanisms for distributed mitigation. The authors consider macro‑cell eNBs and femtocell HeNBs, implementing radio‑scene analysis and dynamic resource access, and propose two game‑theoretic mechanisms for distributed CCI mitigation.

Abstract

In this article we demonstrate the benefits of developing cognitive base-stations in a UMTS Long Term Evolution (LTE) network. Two types of cognitive base-stations are considered: the macro-cell evolved-NodeB (eNB) and the femtocell Home evolved NodeBs (HeNB). In the context of an isolated cell or a multi-cell LTE network, the insufficiency of traditional interference management schemes is shown. Implementation of cognitive tasks such as radio scene analysis and dynamic resource access are then introduced. We argue that such cognitive basestations can exploit their knowledge of the radio scene to intelligently allocate resources and to mitigate prohibitive Co-Channel Interference (CCI). Given the distributed architecture of LTE networks, we will elaborate on cognitive interference mitigation solutions and further propose two different Game Theoretical mechanisms to achieve CCI mitigation in a distributed manner.