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Xueyan CAO, Shi YAN, Hongming ZHANG. Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .
@article{title="Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach",
author="Xueyan CAO, Shi YAN, Hongming ZHANG",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2100341"
}
%0 Journal Article
%T Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach
%A Xueyan CAO
%A Shi YAN
%A Hongming ZHANG
%J Journal of Zhejiang University SCIENCE C
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%N -1
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%@ 2095-9184
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100341
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T1 - Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach
A1 - Xueyan CAO
A1 - Shi YAN
A1 - Hongming ZHANG
J0 - Journal of Zhejiang University Science C
VL - -1
IS - -1
SP -
EP -
%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2100341
Abstract: non-orthogonal multiple access (NOMA) based fog radio access networks (F-RANs) offer high spectrum
efficiency (SE), ultra low delay, and huge network throughput, and this is made possible by edge computing and
communication functions of the fog access points (F-APs). Meanwhile, caching-enabled F-APs are responsible for
edge caching and delivery of a large volume of multimedia files during the caching phase, which facilitates further
reduction in the transmission energy and burden. The need of the prevailing situation in industry is that in
NOMA-based F-RANs, the energy-efficient resource allocation–which consists of the cache placement (CP) and
radio resource allocation (RRA)–is crucial for network performance enhancement. To this end, in this paper, we
first characterize a NOMA-based F-RAN in which F-APs of caching capabilities underlaid with the radio remote
heads (RRHs) serve user equipments (UEs) via NOMA protocol. Then, we formulate a resource allocation problem
for maximizing the defined performance indicator, namely network profit, which takes both cost of CP and energy
efficiency into consideration. The NP-hard problem is decomposed into two sub-problems, namely CP sub-problem,
and RRA sub-problem. Finally, we propose an iterative method and a Stackelberg game based method to solve
them, and numerical results show that the proposed solution can significantly improve network profit compared to
other existing schemes in NOMA-based F-RANs.
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