Power minimization via rate splitting in downlink cloud-radio access networks
Type
Conference PaperAuthors
Ahmad, Alaa AlameerDahrouj, Hayssam
Chaaban, Anas
Sezgin, Aydin
Al-Naffouri, Tareq Y.

Alouini, Mohamed-Slim

KAUST Department
Communication Theory LabComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Date
2020-07-21Online Publication Date
2020-07-21Print Publication Date
2020-06Permanent link to this record
http://hdl.handle.net/10754/665203
Metadata
Show full item recordAbstract
Minimizing the power consumption in mobile communication networks while guaranteeing quality of service (QoS) requirements is essential in light of the unprecedented increase in the number of connected devices and the associated data traffic. Conventional cloud-radio access networks (C-RAN) assume treating interference as noise (TIN) while dealing with the provisioning of wireless interference. This paper considers a C-RAN system, where a central processor (CP) at the cloud is connected to several base-stations (BSs) via limited capacity fronthaul links. The paper then assumes a communication scheme where the CP applies rate splitting (RS) to the messages requested by the users, and enables common message decoding (CMD) at the receivers side. The paper addresses the problem of minimizing the weighted transmit power subject to minimum QoS and fronthaul capacity constraints, which is generally a non-convex and difficult problem to solve. We, therefore, propose an iterative approach based on inner-convex approximations (ICA) to obtain a stationary point of the optimization problem. The simulations show the power savings achieved by the proposed RS-CMD scheme as compared to the conventional TIN, especially at high QoS requirements.Citation
Ahmad, A. A., Dahrouj, H., Chaaban, A., Sezgin, A., Al-Naffouri, T. Y., & Alouini, M.-S. (2020). Power Minimization Via Rate Splitting in Downlink Cloud-Radio Access Networks. 2020 IEEE International Conference on Communications Workshops (ICC Workshops). doi:10.1109/iccworkshops49005.2020.9145363Sponsors
Hayssam Dahrouj would like to thank Effat University in Jeddah, Saudi Arabia, for funding the research reported in this paper through the Research and Consultancy Institute.Conference/Event name
2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020ISBN
9781728174402Additional Links
https://ieeexplore.ieee.org/document/9145363/ae974a485f413a2113503eed53cd6c53
10.1109/ICCWorkshops49005.2020.9145363