The implementation of uplink hybrid automatic repeat request (HARQ) in a cloud-radio access network (C-RAN) architecture is constrained by the two-way latency on the fronthaul links connecting the remote radio heads (RRHs) with the baseband units (BBUs) that perform decoding. To overcome this limitation, this paper considers an architecture based on the  separation of control and data  planes, in which retransmission control decisions are made at the edge of the network, that is, by the RRHs or user equipment (UE), while data decoding is carried out remotely at the BBUs. This solution enables  low-latency local retransmission decisions  to be made at the RRHs or UE, which are not subject to the fronthaul latency constraints, while, at the same time, leveraging the decoding capability of the BBUs. A system with a BBU Hoteling system is considered first in which each RRH has a dedicated BBU in the cloud. For this system, the control-data separation leverages  low-latency local feedback  from an RRH to drive the HARQ process of a given UE. The throughput and the probability of error of this solution are analyzed for the three standard HARQ modes of Type-I, chase combining, and incremental redundancy over a general fading multiple-input multiple-output (MIMO) link. Then, novel  user-centric low-latency feedback  strategies are proposed and analyzed for the C-RAN architecture, with a single centralized BBU, based on limited “hard” or “soft” local feedback from the RRHs to the UE and on retransmission decisions taken at the UE. The analysis presented in this paper allows the optimization of the considered schemes, as well as the investigation of the impact of system parameters such as HARQ protocol type, blocklength, and number of antennas on the performance of low-latency local HARQ decisions in BBU Hoteling and C-RAN architectures.
['Shahrouz Khalili', 'Osvaldo Simeone']
Uplink HARQ for Cloud RAN via Separation of Control and Data Planes