Name
Abstract | ||
|---|---|---|
This work studies the joint problem of optimal content placement, RRH clustering and beamformer design, in a cache-enabled cloud-radio access network (C-RAN). In the considered system, multiple remote radio heads (RRHs) connected to a centralized baseband unit (BRIJ) pool via fronthaul links, cooperatively serve the downlink users by grouping them into potentially overlapping clusters. Each RRH is equipped with a local cache from which it can directly acquire the requested user contents, without the need to occupy the fronthaul links. We aim to jointly optimize the caching placement, user association and downlink beamforming vector at each RRH, in order to strike a balance between fronthaul traffic reduction and transmission power minimization. To this end, we propose to employ the ratio between these two important system utilities as the objective function, referred to as caching efficiency. A penalty dual decomposition (PDD) based algorithm is presented to address the resulting nonconvex optimization problem, which features coupling constraints and mixed-integer variables. Simulation results validate the efficiency of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICC.2019.8761347 | IEEE International Conference on Communications |
Keywords | Field | DocType |
Transceiver design,cloud-RAN,content placement,caching,RRH clustering,beamforming | Beamforming,Baseband,Computer science,Cache,Computer network,Cluster analysis,Optimization problem,Access network,Cloud computing,Telecommunications link | Conference |
ISSN | Citations | PageRank |
1550-3607 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ming-Min Zhao | 1 | 109 | 12.08 |
| Yunlong Cai | 2 | 238 | 25.39 |
| Minjian Zhao | 3 | 224 | 34.77 |
| Benoît Champagne | 4 | 510 | 67.66 |