2020
DOI: 10.1109/access.2019.2959119
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Joint Optimization of Latency and Deployment Cost Over TDM-PON Based MEC-Enabled Cloud Radio Access Networks

Abstract: The convergence of optical and wireless networks, and the marginalization of centralized data centers are required for next-generation telecommunications. According to the operators' concern of costefficient deployment combined with latency-sensitive requirements, network planning will lay a foundation for the development of next-generation networks. In particular, the network planning of mobile edge computing (MEC)-enabled cloud radio access networks (C-RAN) in a cost-effective and low-latency manner becomes … Show more

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Cited by 25 publications
(9 citation statements)
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“…Furthermore, A hybrid mobile edge computing platform is considered [12], which aims to minimize the energy consumption of user equipment, and a hybrid online offloading framework based on deep learning is proposed. The best deployment of MEC server and C-RAN for delay-sensitive service coordination, which was studied by Wang et al [13].…”
Section: Mobile Edge Computingmentioning
confidence: 99%
“…Furthermore, A hybrid mobile edge computing platform is considered [12], which aims to minimize the energy consumption of user equipment, and a hybrid online offloading framework based on deep learning is proposed. The best deployment of MEC server and C-RAN for delay-sensitive service coordination, which was studied by Wang et al [13].…”
Section: Mobile Edge Computingmentioning
confidence: 99%
“…The total time T for services includes four parts [25]: waiting latency w t , upload latency up t , propagation latency prop t and processing latency proc t in Fig. 1.…”
Section: B Latency Calculationmentioning
confidence: 99%
“…Finally, as the number of latency-sensitive requests increases, the deployment cost of mobile edge computing (MEC) servers become a critical parameter to consider. A mixed integer linear programming problem is formulated in [15] to optimize jointly the cost of network deployment and the cost of MEC server deployment. It was shown that the proposed formulation is able to improve the performance in terms of the transmission latency and deployment cost.…”
Section: Related Workmentioning
confidence: 99%
“…Pros and cons of RoF-based MFH solutions have been mainly assessed in terms of the PHY-layer performance (e.g., capacity [2], [8]- [13], latency [3], [14], [15], reliability [5], [16], [17]), optimization of the deployment costs [18], [19], placement of the baseband processing functionalities [20], [21], and energy efficiency [22]- [27]. Yet, a fair analysis in terms of total cost of ownership (TCO) of their deployment is still missing.…”
Section: Introductionmentioning
confidence: 99%