Power Minimization for Wireless Backhaul Based Ultra-Dense Cache-enabled C-RAN

TL;DR

This paper proposes a low-complexity algorithm for joint optimization of clustering, beamforming, and frequency allocation to minimize power consumption in ultra-dense cache-enabled C-RANs, significantly reducing backhaul traffic.

Contribution

It introduces a novel algorithm combining smoothed ℓ0-norm approximation and convex-concave procedure for power minimization in wireless backhaul C-RANs.

Findings

Algorithm converges quickly.

Significant reduction in backhaul traffic.

Effective power consumption minimization.

Abstract

This correspondence paper investigates joint design of small base station (SBS) clustering, multicast beamforming for access and backhaul links, as well as frequency allocation in backhaul transmission to minimize the total power consumption for wireless backhaul based ultra-dense cache-enabled cloud radio access network (C-RAN). To solve this nontrivial problem, we develop a low-complexity algorithm, which is a combination of smoothed ${\ell _0}{\text{-norm}}$ approximation and convex-concave procedure. Simulation results show that the proposed algorithm converges fast and greatly reduces the backhaul traffic.