Radio Resource Allocation for Achieving Ultra-Low Latency in Fog Radio Access Networks

Radio Resource Allocation for Achieving Ultra-Low Latency in Fog Radio Access Networks

Blog Article

Fog radio access network (F-RAN) has the significant advantages of local radio signal processing, cooperative radio resource management, and distributed storage capability to tackle the massive users demand at the edge.However, due FLEXI-CUT to constrained fronthaul capacity, achieving ultra-low latency for emerging cellular networks is still challenging.This paper focuses on alleviating the heavy burden on fronthaul and achieving ultra-low latency by proposing a loosely coupled architecture in the F-RAN where a large number of F-RAN nodes are able to participate in joint distributed computing and content sharing regardless of nearness communication by satisfying the minimum latency demand.A mixed-integer nonlinear programming problem is formulated to achieve the ultra-low latency under the constraint of fronthaul capacity and computing capability of each F-RAN node.To solve this problem, a joint distributed computing scheme and a distributed content sharing scheme are proposed with the greedy algorithm to find a sub-optimal solution, in which the weighted minimum mean square error approach is adopted to optimize the transmission rate.

Numerical results reveal that the ultra-low latency can be achieved in F-RANs by properly MOSA replacement parts utilizing the loosely coupled architecture.