Joint Optimization of BBU Pool Allocation and Selection for C-RAN Networks

Li, Yao; Bhopalwala, Mariya; Das, Sandip; Yu, Jiakai; Mo, Weiyang; Ruffini, Marco; Kilper, Daniel C.

doi:10.1364/ofc.2018.th1b.5

Cited by 12 publications

(7 citation statements)

References 3 publications

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“…The problem of BBU placement over a metro/aggregation network was first proposed in [8], where the relation between latency and the consolidation of BBUs is discussed under the OTN and overlay cases separately. In addition to BBU placement problem, BBU pool allocation and selection problem for C-RAN is also proposed in [9], the authors investigated how to deploy BBU pool among the optical network nodes and how to choose BBU pool to host the BBU of each traffic request with the objective of maximizing traffic acceptance ratio and minimizing network resource usage.…”

Section: Related Workmentioning

confidence: 99%

DU/CU Placement for C-RAN over Optical Metro-Aggregation Networks

Musumeci

Zhang

et al. 2020

Optical Network Design and Modeling

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To meet emerging mobile traffic requirements, Centralized Radio Access Network (C-RAN) has been proposed to split the base station (BS) into two functional entities: the baseband units (BBU) and the remote radio heads (RRH). In C-RAN, by centralizing BBUs into BBU pools and leaving the RRHs in the cell sites, significant cost and energy savings and improved radio coordination can be achieved. However, C-RAN requires a costly high-capacity and low-latency access/aggregation network to support fronthaul traffic (i.e., digitized baseband signal). Hence, more recently, a new C-RAN architecture has been proposed (i.e., by 3GPP, IEEE 1914 WG), that defines three baseband function entities (or splits): central unit (CU), distributed unit (DU) and remote unit (RU). These three entities are expected to be interconnected by two external interfaces, called F1 and Fx. By transforming the RAN into a 3-layer (CU-DU-RU) architecture, more flexible deployment of the baseband functions can be achieved that better adapts to the heterogeneous characteristics of incoming 5G service requirements. It is also expected that, by properly placing CUs and DUs in the metro/aggregation network, higher benefits in terms of cost and power consumption can be achieved with respect to the previous 2-layer (BBU-RRH) architecture. In this paper, we investigate the optimal CU/DU placement problem in a 3-layer RAN architecture and formalize it by integer linear programming. We evaluate the benefits of the 3-layer architecture compared to the 2-layer architecture, showing that the consolidation degree of baseband processing depends heavily on fronthaul traffic latency, transport network capacity and processing capacity.

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Section: Related Workmentioning

confidence: 99%

DU/CU Placement for C-RAN over Optical Metro-Aggregation Networks

Musumeci

Zhang

et al. 2020

Optical Network Design and Modeling

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“…Most of these focus on BBU-RRH dynamical resource mapping to save energy. The rationale is to switch off idle BBUs in BBU pool [28], [29]. Similarly, there are also some works putting RRHs with light load into sleep mode [30], [31].…”

Section: A Prior Workmentioning

confidence: 99%

Joint Optimization of Survivability and Energy Efficiency in 5G C-RAN With mm-Wave Based RRH

Tian

Zhang

et al. 2020

IEEE Access

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Centralized Radio Access Networks (C-RAN) exploiting millimeter wave (mm-wave) technology in remote radio heads (RRHs) are regarded as a promising approach to satisfy the challenging service requirements of fifth generation (5G) mobile communication. However, ultra-dense deployment of mm-wave RRHs will generate enormous amount of traffic that will require effective design and operation of C-RAN backhaul. In this paper, we focus on developing an optimal mm-wave RRHs placement strategy that exploits resource and traffic assignment in RRHs to achieve reliable and energy efficient backhaul transmissions. Specifically, in this paper, mm-wave is considered both to provide end users access and to interconnect RRHs in same frequency band, hence achieving energy saving thanks to hardware and frequency reuse. In this scenario, leveraging the traffic predictions obtained by a deep neural network, we present a real-time traffic assignment scheme where traffic from affected RRHs can be rerouted to other RRHs to protect against backhaul failures and traffic migrates to as few RRHs as possible to switch off some backhaul links for energy efficiency. Due to the inherent short-range transmission of mm-wave, different RRH deployment locations significantly affect interconnections in RRHs. Therefore, we model the mm-wave RRH placement problem into an optimization framework that jointly maximizes backhaul survivability and energy efficiency, whilst subjects to constraints as network coverage and capacity. To guarantee scalability of the proposed scheme as network scale increases, a heuristic algorithm is also proposed. Numerical evaluations show that, with appropriate RRH placement strategies, significant survivability and energy efficiency improvements can be achieved. INDEX TERMS Centralized radio access network, backhaul link, millimeter wave, survivability, energy efficiency.

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“…The strategy needs to handle the following challenges: 1) the place where BBU is deployed under a given task request in order to reduce mobile fronthaul bandwidth while maintaining the high consolidation of BBU; 2) the algorithm to find the shortest path to reduce transport delay. Generally, the strategy can be formulated as a network planning problem which can be solved by Optimal Method, or heuristic algorithm extended from Optimal Method [3]. The optimal method such as integer linear programming, can provide the best strategy with considerable number of iterations.…”

Section: Introductionmentioning

confidence: 99%