In this work, we investigate the user clustering and beamforming issues for Cloud Radio Access Networks (CRANs)
and Fog Radio Access Networks (FogRANs), the promising network architectures for 5G. CRAN enables cloud centralized
radio resource optimization over all the small cells served by multiple Access Points (APs). However, the fronthaul links
connecting each AP to the cloud introduce delays and cause outdated Channel State Information (CSI).
By contrast, FogRAN enables lower latencies and better CSI qualities, at the cost of local optimization.
To alleviate these issues, our proposed algorithm exploits both the centralized feature of the cloud for globally-optimized
pre-scheduling using outdated CSIs, and the distributed nature of FogRAN for accurate beamforming with high quality CSIs.
Simulation results show that our hybrid algorithm for FogRAN outperforms the centralized algorithm under imperfect CSI,
both in terms of throughput and delays.
Speaker: Megumi Kaneko (NII Japon)
Where: Room 26-00/101 LIP6.
When: 22 June, 10h30