상세정보
학술지
Adaptive Resource Balancing for Serviceability Maximization in Fog Radio Access Networks
- 발행일
- 201706
- 출처
- IEEE Access, v.5, pp.14548-14559
- ISSN
- 2169-3536
- 출판사
- IEEE
- 협약과제
- 17ZH1500, 단말 근접 실시간 스마트 서비스추천플랫폼 기술 개발, 정기숙
- 초록
- Serviceability is the ability of a network to serve user equipments (UEs) within desired requirements (e.g., throughput, delay, and packet loss). High serviceability is considered as one of the key foundational criteria toward a successful fog radio access infrastructure satisfying the Internet of Things paradigm in the 5G era. In this paper, we propose an adaptive resource balancing (ARB) scheme for serviceability maximization in fog radio access networks wherein the resource block (RB) utilization among remote radio heads (RRHs) are balanced using the backpressure algorithm with respect to a time-varying network topology issued by potential RRH mobilities. The optimal UE selection for service migration from a high-RB-utilization RRH to its neighboring low-RB-utilization RRHs is determined by the Hungarian method to minimize RB occupation after moving the service. Analytical results reveal that the proposed ARB scheme provides substantial gains compared with the standalone capacity-aware, max-rate, and cache-aware UE association approaches in terms of serviceability, availability, and throughput.
- 키워드
- backpressure algorithm, Fog radio access network (F-RAN), Hungarian method, mobile remote radio head (RRH), resource balancing, serviceability maximization
- KSP 제안 키워드
- Adaptive resource, Backpressure Algorithm, Cache-aware, F-RAN, Fog radio access networks, Hungarian method, Internet of thing(IoT), Network topology, Remote Radio Head(RRH), Resource Block(RB), Resource balancing