Joint Functional Splitting and Content Placement for Green Hybrid CRAN

Sriram, Ajay; Masoudi, Meysam; Alabbasi, Abdulrahman; Çavdar, Çiçek

doi:10.1109/pimrc.2019.8903627

Cited by 11 publications

(15 citation statements)

References 16 publications

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“…Besides delay, other works jointly combine split selection with other relevant parameters for network management and service provisioning. For instance, a joint split selection and content caching solution is proposed in [22]. Some works have also put emphasis on the impact that this type of architectures might have over energy consumption.…”

Section: Related Workmentioning

confidence: 99%

Understanding the Performance of Flexible Functional Split in 5G vRAN Controllers: A Markov Chain-Based Model

Díez

Hervella

Agüero

2021

IEEE Trans. Netw. Serv. Manage.

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We study Flexible Functional Split functionality of 5G vRAN controllers in 5G networks. We propose an innovative model, based on a Markov Chain, which can be used to characterize their performance. We consider both infinite and finite-buffer controllers. In the former, frames would not be lost (provided the system works in a stable regime), and we thus focus on the time frames stay at the controller. For the finite-buffer controller, there might be losses, and we analyze the trade-off between time at the controller (which might hinder the stringent delay requirements of 5G services), and loss probability. Matrix-geometric techniques are used to resolve the corresponding Quasi-Birth-Death process. The validity of the proposed model is assessed by means of an extensive experiment campaign carried out over an ad-hoc eventdriven simulator, which is also used to broaden the analysis, considering different service rate distributions, as well as the variability of the studied performance indicators. The results show that the proposed model can be effectively exploited to tackle the dimensioning of these systems, as it sheds light on how their configuration impacts the expected delay and loss rate.

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Section: Related Workmentioning

confidence: 99%

Understanding the Performance of Flexible Functional Split in 5G vRAN Controllers: A Markov Chain-Based Model

Díez

Hervella

Agüero

2021

IEEE Trans. Netw. Serv. Manage.

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“…However, this might not be possible due to the limited fronthaul capacity, hence using different split points supported by the cost-effective fronthaul is more preferable [7]. In Figure 1, the possible split points are depicted and in Table I the capacity requirements in the fronthaul links are summarized [7], [8]. These requirements make the passive optical networks the most suitable transport medium in the fronthaul [9].…”

Section: B Literature Studymentioning

confidence: 99%

Cost-Effective Migration Toward Virtualized C-RAN With Scalable Fronthaul Design

Masoudi

Lisi

Çavdar

2020

IEEE Systems Journal

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Migration from distributed to centralized radio access networks (C-RANs) can be expensive in terms of capital expenditures due to the initial investment while it has lower operational expenditures due to pooling baseband processing into the cloud and reduced power consumption. Partial centralization can be also an option by employing network function splitting and keeping lower physical layer functions co-located with the radio units. This increases the power consumption but relaxes the high capacity requirement in the fronthaul. It is not intuitive which migration strategy is more cost effective. In this paper, we formulate a pool placement optimization problem as an integer linear programming (ILP), which minimizes the total cost of ownership (TCO), and evaluate the migration cost to C-RAN with both full centralization of network functions, and partial centralization by using function splitting. We define a network upgrade optimization problem, by adding new cells to the network, as a revisited version of the original optimization problem to evaluate the upgradability of the architectures. We solve the problem with both ILP for optimality, and genetic algorithm for scalability. Simulation results show that partial centralization results in optimal TCO with lower crossover time compared to C-RAN with full centralization. Index Terms-Total cost of ownership, functional splitting, C-RAN, integer linear programming, genetic algorithm.

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“…The objective function (10) can be seen as the sum of the utility value seen by each user and the objective of proposed scheme is to maximize the sum rate of all users. Constraint (11) imposes the system bandwidth constraints, and constraint (12) represents the unique of radio frequency constraint for each user, i.e., ensuring that an RB should be allocated to only one user for an RRU. It is worth mentioning that RRUs under the same wavelength only transmits the user data once for cooperation, and the fronthaul load does not exceed the fronthaul capacity constraint, as shown in constraint (13).…”

Section: Comp Clustering and Dynamic Spectrum Allocation Algorithmmentioning

confidence: 99%

“…Reducing the fronthaul load has been regarded as an effective solution to improve the system service capacity. On one hand, edge cache has been proposed as an effective solution to moderate the fronthaul link pressure [11][12][13]. Moreover, the introduction of the edge cache into the C-RAN employing CoMP can ease the contradiction between the fronthaul bottleneck and the wireless side performance [14].…”

Section: Introductionmentioning

confidence: 99%

Joint Optical and Wireless Resource Allocation for Cooperative Transmission in C-RAN

Yang

Liao

Zhang

et al. 2020

Sensors

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Cooperative multipoint transmission (CoMP) is one of the most promising paradigms for mitigating interference in cloud radio access networks (C-RAN). It allows multiple remote radio units (RRUs) to transmit the same data flow to a user to further improve the signal quality. However, CoMP may incur redundant data transmission over fronthaul network in the C-RAN. In a C-RAN employing CoMP, a key problem is how to coordinate heterogeneous resource allocation to maximize the cooperation gain while reducing the fronthaul load. In this paper, the cooperation transmission based on a multi-dimensional resource schedule (MRSCT) scheme, jointly considering user association, spectrum resource allocation, and wavelength resource allocation, is firstly envisioned in the underlying C-RAN integrating time and wavelength division multiplexing passive optical network (TWDM-PON) to maximize fronthaul efficiency. Then a two-timescale resource allocation framework including two sub-approaches is established. More specially, the first sub-approach mainly focuses on exploiting reinforcement learning to obtain a wavelength resource allocation strategy to relieve fronthaul traffic load. Moreover, the second sub-approach adopts the overlapping coalition formation game to establish a user-centric cooperative set, where spectrum resources are dynamically allocated to further alleviate the interference issue. The theoretical analysis and simulation results validate the performance of MRSCT scheme on the fronthaul efficiency, user experience, and system service capability.

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Joint Functional Splitting and Content Placement for Green Hybrid CRAN

Cited by 11 publications

References 16 publications

Understanding the Performance of Flexible Functional Split in 5G vRAN Controllers: A Markov Chain-Based Model

Understanding the Performance of Flexible Functional Split in 5G vRAN Controllers: A Markov Chain-Based Model

Cost-Effective Migration Toward Virtualized C-RAN With Scalable Fronthaul Design

Joint Optical and Wireless Resource Allocation for Cooperative Transmission in C-RAN

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