Paper Info
Title
Cooperative Transmission Meets Computation Provisioning In Downlink C-Ran
Abstract
Cloud radio access network (C-RAN), regarded as a promising green network architecture, facilitates cooperative transmission among remote radio heads (RRHs) while enabling flexible computation provisioning in the virtualized baseband unit pool. By jointly optimizing cooperative transmission, i.e., transmit power allocation with zero-forcing precoding adopted, and computation provisioning, i.e., virtual machine assignment, this paper minimizes the system power consumption comprised of transmit power and processing power in downlink C-RAN. Specifically, subject to per-RRH power constraint (PRPC) and per-MU quality of service constraint, the system power consumption minimization problem is formulated as a mixed integer non-linear programming (MINLP) problem. To solve the challenging MINLP, we reformulate the MINLP as a minimum weight perfect matching problem to get the initial solution without considering the PRPC. On this basis, a power-aware greedy algorithm is further devised to modify the solution such that the PRPC is satisfied. Finally, extensive simulations show the superiority of the proposed scheme on system power saving and the tradeoff between transmit power and processing power.
Year
DOI
Venue
2016
10.1109/ICC.2016.7511262
2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
Field
DocType
ISSN
Wireless,Transmitter power output,Computer science,Computer network,C-RAN,Quality of service,Real-time computing,Greedy algorithm,Provisioning,Radio access network,Precoding
Conference
1550-3607
Citations 
PageRank 
References 
3
0.40
15
Authors
6
Name
Order
Citations
PageRank
Kun Guo192.52
Min Sheng2907111.63
Jianhua Tang3667.26
Tony Q. S. Quek43621276.75
Xijun Wang520019.53
Zhiliang Qiu610416.06