Joint Scheduling and Power Adaptation in NOMA-Based Fog-Radio Access Networks
Type
Conference PaperAuthors
Randrianantenaina, Itsikiantsoa
Kaneko, Megumi
Dahrouj, Hayssam
ElSawy, Hesham
Alouini, Mohamed-Slim

KAUST Department
Communication Theory LabComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Date
2019-02-21Online Publication Date
2019-02-21Print Publication Date
2018-12Permanent link to this record
http://hdl.handle.net/10754/631606
Metadata
Show full item recordAbstract
Non-Orthogonal Multiple Access (NOMA) is a promising technology for 5G that enables each resource unit to simultaneously serve multiple users. This work evaluates the potential benefit of joint scheduling and power adaptation in NOMA- based downlink in Fog-Radio Access Networks (FRAN). We consider the downlink of a FRAN, where the Fog Access Points (FAPs) are connected to central cloud baseband units (BBUs) through capacity-constrained fronthaul links. The FAPs adopt a two-user NOMA scheme, within each resource block (RB), to serve a common set of users. The paper formulates an optimization problem which maximizes a network-wide {rate-based utility} function subject to fronthaul- capacity constraints, so as to determine both the user- to-FAP assignment and the power levels of the users served by each FAP. The main contribution of the paper is solving this mixed-integer non-convex optimization problem using a two- step centralized-distributed approach, which is aligned with FRAN operation that {aims to} %relies on partially shifting the network control to the FAPs so as to overcome delays due to fronthaul rate constraints. The assignment step is first solved at the centralized BBU pool by reformulating the problem such that the Hungarian algorithm is applicable. The power {adaptation} is then solved at every FAP using a barrier method. Simulation results show that the proposed NOMA-based algorithm outperforms conventional Orthogonal Multiple Access (OMA) algorithms, even with stringent fronthaul limitations. The proposed algorithm further shows an appreciable {performance trade-off} between the rate and fairness metrics.Citation
Randrianantenaina I, Kaneko M, Dahrouj H, ElSawy H, Alouini M-S (2018) Joint Scheduling and Power Adaptation in NOMA-Based Fog-Radio Access Networks. 2018 IEEE Global Communications Conference (GLOBECOM). Available: http://dx.doi.org/10.1109/glocom.2018.8647893.Sponsors
This work is supported by the Grant-in-Aid for Scientific Research (Kakenhi) no. 17K06453 from the Ministry of Education, Science, Sports, and Culture of Japan, and by the NII MoU grants. This work is also funded in part by King Abdullah University of Science and Technology (KAUST). 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.Additional Links
https://ieeexplore.ieee.org/document/8647893ae974a485f413a2113503eed53cd6c53
10.1109/glocom.2018.8647893