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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 cost-efficient 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 exceedingly challenging. However, most research studies focus on the cost-effective deployment of C-RAN without considering the optimal placement of MEC servers simultaneously. Moreover, deployment costs and access latency will be directly affected by the optimal deployment of both the MEC servers and access networks. Therefore, we investigate how to coordinate the optimal deployment of MEC servers and C-RAN for latency-sensitive services. In detail, a MILP model is proposed to minimize the joint cost of latency and network deployment of time division multiplexing-passive optical network (TDM-PON) based MEC-enabled C-RAN. Given the model's complexity, a heuristic algorithm is also proposed to solve the mixed integer linear programming (MILP) model. Simulations are conducted to evaluate the performance comparisons of different approaches under different network scenarios. The impacts of some key parameters on comparisons of different approaches are also analyzed.
Highlights
Triggered by explosive growth of future mobile data traffic, massive device connectivity, and emerging applications, nextgeneration mobile communication technology is developing towards cell densification, millimeter-wave, heterogeneous networks and device-to-device communications
To evaluate the performance of the mixed integer linear programming (MILP) model in an efficient manner, we propose a heuristic algorithm for network planning for time division multiplexing-passive optical network (TDM-PON) based mobile edge computing (MEC)-enabled cloud radio access networks (C-RAN)
Given the candidate sites of network devices and distance matrix of the physical topology, the optimization goal of network planning for TDM-PON based MEC-enabled C-RAN is to minimize joint cost of total latency and deployment costs taking into account some physical and management constraints
Summary
Triggered by explosive growth of future mobile data traffic, massive device connectivity, and emerging applications, nextgeneration mobile communication technology is developing towards cell densification, millimeter-wave, heterogeneous networks and device-to-device communications. Scenario 1 is the most applicable to ultra-reliable lowlatency communication (URLLC) From both perspectives of low latency communications and practical deployment cost, we investigate a two-stage architecture of backhaul and fronthaul in scenario 1 of Fig. 2, which is considered the preferred network deployment scenario for latency-sensitive services. We focus on the joint deployment of optimal cloudlets placement, components of TDM-PON based C-RAN, and cost-efficient connections among components simultaneously whilst satisfying some physical constraints, management consideration, and fronthaul latency limitation. Our study provides the cornerstone for the cost-efficient deployment of MEC-enabled converged optical and wireless networks for latency-sensitive services, which will be imperative to realize futureproof generation networks.
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