Paper Info
Title
Systematic Resource Allocation in Cloud RAN With Caching as a Service Under Two Timescales
Abstract
Recently, cloud radio access network (C-RAN) with caching as a service (CaaS) was proposed to merge the functionalities of communication, computing, and caching (CC&C) together. In this paper, we dissect the interactions of CC&C in C-RAN with CaaS from two dimensions: physical resource dimension and time dimension. In the physical resource dimension, we identify how to segment the baseband unit (BBU) pool resources (i.e., computation and storage) into different types of virtual machines (VMs). In the time dimension, we address how the long-term resource segmentation in the BBU pool impacts on the short-term transmit beamforming at the remote radio heads. We formulate the problem as a stochastic mixed-integer nonlinear programming (SMINLP) to minimize the system cost, including the server cost, VM cost and wireless transmission cost. After a series of approximation, including sample average approximation, successive convex approximation, and semidefinite relaxation, the SMINLP is approximated as a global consensus problem. The alternating direction method of multipliers (ADMM) is utilized to obtain the solution in a parallel fashion. Simulation results verify the convergence of our proposed algorithm, and also confirm that the proposed scheme is more cost-saving than that without considering the integration of CC&C.
Year
DOI
Venue
2019
10.1109/TCOMM.2019.2934854
IEEE Transactions on Communications
Keywords
Field
DocType
C-RAN,caching as a service,two timescales,semidefinite relaxation (SDR),alternating direction method of multipliers (ADMM)
Computer science,Computer network,Electronic engineering,Resource allocation,Ran,Cloud computing
Journal
Volume
Issue
ISSN
67
11
0090-6778
Citations 
PageRank 
References 
1
0.34
0
Authors
4
Name
Order
Citations
PageRank
Jianhua Tang1667.26
Tony Q. S. Quek23621276.75
Tsung-Hui Chang3114272.18
Byonghyo Shim493788.51