JOURNAL ARTICLE

Resource Allocation in NOMA-Based Fog Radio Access Networks

Haijun ZhangYu QiuKeping LongGeorge K. KaragiannidisXianbin WangArumugam Nallanathan

Year: 2018 Journal:   IEEE Wireless Communications Vol: 25 (3)Pages: 110-115   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In the wake of growth in intelligent mobile devices and wide usage of bandwidth-hungry applications in mobile Internet, the demand for wireless data traffic and ubiquitous mobile broadband is rapidly increasing. Because of these developments, the research on next generation networks presents an accelerative tendency on a global scale. Edge computing is drawing lots of attention for reducing the time delay and improving the quality of service for networks. F-RAN is an emergent architecture that makes full use of edge computing and distributed storing capabilities in edge devices. In this article, we propose an architecture of NOMA-based F-RANs that has strong capability of edge computing and can meet the heterogeneous requirements in 5G/6G systems. NOMA with SIC is regarded as a critical multi-user access technology. In NOMA, more than one user can access the same time, code domain, and frequency resources. By assigning different power levels to multiple users and implementing SIC, multi-user detection can be achieved. In this article, we provide a description of the NOMAbased F-RANs architecture, and discuss the resource allocation in it. We focus on the power and subchannel allocation in consideration of using NOMA and edge caching. Simulation results show that the proposed NOMA-based F-RANs architecture and the resource management mechanisms can achieve high net utility for the RANs.

Keywords:
Computer science Computer network Edge computing Resource allocation Quality of service Mobile edge computing Mobile broadband Wireless Wireless network Enhanced Data Rates for GSM Evolution Cellular network Radio resource management Radio access network Distributed computing Base station Telecommunications Server Mobile station

Metrics

113
Cited By
9.45
FWCI (Field Weighted Citation Impact)
19
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT Networks and Protocols
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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