Optimal Placement of Centralized BBU (C-BBU) for Fronthaul and Backhaul Optimization in Cloud-RAN Network

Mahapatra, Byomakesh; Turuk, Ashok Kumar; Patra, Sarat Kumar; Kumar, Rahul

doi:10.1109/icit.2017.36

Cited by 6 publications

(6 citation statements)

References 5 publications

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“…However, for Fonseca, Correa, and Cardoso [15], D-RAN is taken into consideration, and different positions are evaluated for CU. The maximization of CU and BBU nodes are aimed at in several investigations [14], [15], [34], [35], [40]. In C-RAN architecture, the fronthaul latency and the capacity of data rate links are widely analyzed [12], [16], [17], [19], [37], [40].…”

Section: Related Workmentioning

confidence: 99%

“…Disaggregated RAN Works Goals Nodes DRCs [14] Maximization of CU centralization and evaluation of Latency Edge CU-RU 3 [15] Maximization of CU centralization and flexible CU positioning CU-RU 5 [34] Maximization of BBU centralization and minimize the overall latency BBU-RRH 1 [17] Dynamic CU and wireless fronthaul to minimize the energy CU-DU 4 [19] Minimize the cost of VNF chain on substrate network BBU-RRH 1 [35] Identify the ideal position of the centroid for the BBU BBU-RRH 1 [36] Maximize DU distribution under non-dedicated optical network CU-DU 2 [37] Minimize the CRs and fronthaul bandwidth BBU-RRH 3 [18] Minimize the computational costs Monolithic 1 [38] Minimize the CRs and overall routing costs CU-DU-RU 1 [39] Minimize the total cost of ownership by DU pool DU-RU 4 [16] Minimize the nodes and latency; maximize the data rate CU-DU-RU 2 [40] Minimize interference and fronthaul links to optimize the network CU-DU 4 [12], [13] Minimize the vRAN cost and overall routing, based on CU's positioning CU-DU-(RU) 3 PlaceRAN Minimize CRs and maximize vNG-RAN's radio functions aggregation CU-DU-RU 9…”

Section: Optimizationmentioning

confidence: 99%

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PlaceRAN: Optimal Placement of Virtualized Network Functions in the Next-generation Radio Access Networks

Morais,

de Almeida,

Pinto

et al. 2021

Preprint

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The fifth-generation mobile evolution introduces Next-Generation Radio Access Networks (NG-RAN) based on the protocol stack disaggregation to enable flexibility to support users' demand for ultra-low latency and high-bandwidth applications. For example, Open RAN solutions focus on an NG-RAN with general-purpose vendorneutral hardware, software-defined technologies, and interoperability, splitting the protocol stack into the eight options combined into three network units, i.e., central, Distributed, and Radio. These network units and the protocols disaggregated are managed as radio functions. These functions' placement is challenging since the best decision is based on the RAN protocol stack split, routing paths of transport networks with restricted bandwidth and latency requirements, different topologies and link capabilities, asymmetric computational resources, etc. Therefore, this article proposes the first exact model for the placement optimization of radio functions for vNG-RAN planning, named PlaceRAN. The main objective is to minimize the computing resources and maximize the aggregation of radio functions. The PlaceRAN evaluation considered two real network topologies based on 5G-crosshaul and Passion European projects. The PlaceRAN performance reaches up to 80% aggregation of radio functions centralized.

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Section: Related Workmentioning

confidence: 99%

Section: Optimizationmentioning

confidence: 99%

PlaceRAN: Optimal Placement of Virtualized Network Functions in the Next-generation Radio Access Networks

Morais,

de Almeida,

Pinto

et al. 2021

Preprint

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“…To adapt to these heterogeneous demands in various scenarios [7], network function virtualization (NFV) has been introduced [8], [9]. NFC may make IoT resource allocation more flexible, providing great scalability and autonomy for IoT service development and deployment [10], [11]. One potential application of NFV is Service Function Chaining (SFC) [12], which dynamically links multiple Virtual Network Functions (VNFs), e.g., name service, firewall, deep packet inspection, etc.…”

Section: Introductionmentioning

confidence: 99%

To Deploy New or to Deploy More?: An Online SFC Deployment Scheme at Network Edge

Yuan

Luo

Guo

et al. 2024

IEEE Internet Things J.

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Service Function Chaining (SFC) dynamically links multiple Virtual Network Functions (VNFs) to provide flexible and scalable network services for network entities and users. Implementing SFCs at the network edge provides instant VNF service yet is confined by the limited edge resources. Existing strategies suggest either to deploy new VNFs for diverse service provision or to deploy more installed VNFs for reliable service provision. However, these one-sided optimizations fail to realize comprehensive improvements in the network service quality. To this end, the motivation of this paper is to consider a more comprehensive SFC deployment plan to provide more efficient network services. In this paper, we propose DeepSFC, an online SFC deployment scheme at network edge. Our DeepSFC considers the impact of resource allocations and deployment locations on the average latency of overall service requests. It realizes an elegant trade-off between the diversity and the availability of SFCs by adopting the Deep Reinforcement Learning (DRL) method. To be specific, we first determine the type and number of VNFs that need to be deployed. Thereafter, we optimize the deployment locations of these chosen VNFs in the service chain, considering the impact of dynamic bandwidth in the real network. For more general scenarios wherein users' service requirements change or the deployed server crashes, we further relocate the VNF deployment with the joint consideration of performance degradation and migration cost. Evaluation results show that DeepSFC outperforms its competitors in various experimental settings and responds the requests with lower average latency.

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“…In the C-RAN, the Base-band Unit (BBU) is centered in one location and separated from the Radio Unit (RU) [4][5][6][7][8][9]. Unlike the conventional RAN concept, RU and BBU are located at the same location, namely at the Base Station [5,7,9].…”

Section: Introductionmentioning

confidence: 99%

“…Unlike the conventional RAN concept, RU and BBU are located at the same location, namely at the Base Station [5,7,9]. The concept of C-RAN aims for better resource management on cellular networks and simplification of RAN networks [5,8]. In research [4], an evaluation of the Dynamic Bandwidth Allocation (DBA) on C-RAN against the XG-PON access network with Time Division Multiplexing (TDM) basis was carried out which resulted in a Round Robin DBA algorithm with better throughput, delay, and latency compared to other DBA algorithms.…”

Section: Introductionmentioning

confidence: 99%

Modification of RR DBA for Performance Improvement of C-RAN on NG-PON2

2021

IJIES

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Optimal Placement of Centralized BBU (C-BBU) for Fronthaul and Backhaul Optimization in Cloud-RAN Network

Cited by 6 publications

References 5 publications

PlaceRAN: Optimal Placement of Virtualized Network Functions in the Next-generation Radio Access Networks

PlaceRAN: Optimal Placement of Virtualized Network Functions in the Next-generation Radio Access Networks

To Deploy New or to Deploy More?: An Online SFC Deployment Scheme at Network Edge

Modification of RR DBA for Performance Improvement of C-RAN on NG-PON2

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