DJP: Dynamic Joint Processing for Interference Cancellation in Cloud Radio Access Networks

Abstract

Coordinated Multi-Point (CoMP) processing is one of the promising methods to mitigate the intra- cluster interference in cellular systems, to improve the average Signal-to-Interference-plus- Noise Ratio (SINR), and to increase the overall spectral efficiency. Such method, however, does not take any action to mitigate the inter-cluster interference, which leads to poor performance for cluster-edge Mobile Stations (MSs) and, consequently, to unfairness in service provision. In the context of Cloud Radio Access Network (C- RAN) - a new centralized paradigm for wireless cellular networks in which Base Stations (BSs) are physically unbundled into Virtual Base Stations (VBSs) and Remote Radio Heads (RRHs) - an innovative solution, called Dynamic Joint Processing (DJP), is proposed to mitigate both intra- and inter-cluster interference so to improve performance of cluster-edge MSs. A dynamic clustering approach is presented in which, for each subcarrier, a virtual cluster is defined, and its size is dynamically changed based on the position of the MSs. Simulation results confirm the validity of our approach.