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 inter-ference 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

Cloud-CFFR: Coordinated Fractional Frequency Reuse in Cloud Radio Access Network (C-RAN)

MultiPoint (CoMP) processing are two of the conventional meth-ods to mitigate the Inter-Cell Interference (ICI) and to improve the average Signal-to-Interference-plus-Noise Ratio (SINR). How-ever, FFR is associated with low system spectral efficiency and CoMP does not take any action to mitigate the inter-cluster interference. In the context of Cloud Radio Access Network (C-RAN) – a new centralized paradigm for broadband wireless access that addresses efficiently the fluctuation in capacity de-mand through real-time Virtual Base Station (VBS) cooperation in the Cloud – in this paper an innovative uplink solution, called Cloud-CFFR, is proposed to address the aforementioned problems. With respect to both FFR and CoMP, Cloud-CFFR decreases the complexity, delay, and ICI while increasing the system spectral efficiency. Since the system performance in cell-edge regions relies on the cooperation of different VBSs, there is no service interruption in handling handovers; moreover, in order to address the unanticipated change in capacity demand, Cloud-CFFR dynamically changes the sub-band boundaries based on the number of active users in the clusters. Simulation results confirm the validity of our analysis and show the benefits of this novel uplink solution