Renewable Energy Assisted Function Splitting in Cloud Radio Access Networks
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Renewable Energy Assisted Function Splitting in Cloud Radio Access Networks Turgay Pamuklu1 · Cicek Cavdar2 · Cem Ersoy3
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Cloud-Radio Access Network (C-RAN) is a promising network architecture to reduce energy consumption and the increasing number of base station deployment costs in mobile networks. However, the necessity of enormous fronthaul bandwidth between a remote radio head and a baseband unit (BBU) calls for novel solutions. One of the solutions introduces the edge-cloud layer in addition to the centralized cloud (CC) to keep resources closer to the radio units (RUs). Then, split the BBU functions between the center cloud (CC) and edge clouds (ECs) to reduce the fronthaul bandwidth requirement and to relax the stringent end-to-end delay requirements. This paper expands this architecture by combining it with renewable energy sources in CC and ECs. We explain this novel system and formulate a mixed-integer linear programming (MILP) problem, which aims to reduce the operational expenditure of this system. Due to the NP-Hard property of this problem, we solve the smaller instances by using a MILP Solver and provide the results in this paper. Moreover, we propose a faster online heuristic to find solutions for high user densities. The results show that make splitting decisions by considering renewable energy provides more cost-effective solutions to mobile network operators (MNOs). Lastly, we provide an economic feasibility study for renewable energy sources in a CRAN architecture, which will encourage the MNOs to use these sources in this architecture. Keywords Green Radio Access Networks · Renewable Energy · Cloud Radio Access Networks · Optimization in Wireless Networks
1 Introduction In a distributed RAN architecture, a base station (eNodeB) is a combination of an analog radio unit and a digital This work is supported by the Turkish State Planning Organization (DPT) under the TAM Project, number 2007K120610. Turgay Pamuklu
[email protected] Cicek Cavdar [email protected] Cem Ersoy [email protected] 1
Department of Computer Engineering, Bogazici University, Bebek, 34342, Istanbul, Turkey
2
Communication Systems Department, KTH Royal Institute of Technology, Stockholm, Sweden
3
NETLAB, Department of Computer Engineering, Bogazici University, Bebek, 34342, Istanbul, Turkey
baseband processing hardware (BBU). In a cloud RAN (CRAN) architecture, a centralized cloud operates the functions of BBUs and serves to more than one analog radio unit. These analog radio units called remote radio heads (RRHs) in this architecture. These two apart locations are connected to each other with high-speed links called fronthaul links [1]. This new architecture has several benefits, such as energy-efficiency and ease of maintenance. On the other hand, it has disadvantages such as increased end-to-end delay and high-bandwidth requirement in optical fronthaul links, which are called common public radio interface (CPRI), between RRHs and BBU
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