2017/10/02 by Abolfazl Hajisami, Tuyen X. Tran, Hajisami, Abolfazl +3
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #Software-Defined Networks and 5G
paper · pdf · doi:10.48550/arxiv.1710.00731
openalex publication_date 2017/10/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Current Distributed Radio Access Networks~(D-RANs), which are characterized\nby a static configuration and deployment of Base Stations~(BSs), have exposed\ntheir limitations in handling the temporal and geographical fluctuations of\ncapacity demands. At the same time, each BS's spectrum and computing resources\nare only used by the active users in the cell range, causing idle BSs in some\nareas/times and overloaded BSs in other areas/times. Recently, Cloud Radio\nAccess Network~(C-RAN) has been introduced as a new centralized paradigm for\nwireless cellular networks in which---through virtualization---the BSs are\nphysically decoupled into Virtual Base Stations~(VBSs) and Remote Radio\nHeads~(RRHs). In this paper, a novel elastic framework aimed at fully\nexploiting the potential of C-RAN is proposed, which is able to adapt to the\nfluctuation in capacity demand while at the same time maximizing the energy\nefficiency and resource utilization. Simulation and testbed experiment results\nare presented to illustrate the performance gains of the proposed elastic\nsolution against the current static deployment.\n