Energy-Efficient Virtual Base Station Formation in Optical-Access-Enabled Cloud-RAN

Wang, Xinbo; Thota, Saigopal; Tornatore, Massimo; Chung, Hwan Seok; Lee, Han Hyub; Park, Soomyung; Mukherjee, Biswanath

doi:10.1109/jsac.2016.2520247

Cited by 88 publications

(45 citation statements)

References 20 publications

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“…A lot of BS sleeping strategies have been proposed from different design perspectives, such as load‐aware, random, and distance‐aware strategies. The load‐aware strategy is preferred by researchers . Abdulkafi et al applied a load‐aware approach to switch off an SBS when its traffic load is below a certain threshold .…”

Section: Related Workmentioning

confidence: 99%

A distance‐sensitive distributed repulsive sleeping approach for dependable coverage in heterogeneous cellular networks

Tang

Zhou

et al. 2019

Trans Emerging Tel Tech

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Base station (BS) sleeping technology has become one of the significant technologies in fifth‐generation green communications. However, enormous communication overhead and coverage holes produced by existing sleeping strategies will decline the robustness of the network. To tackle this problem, this paper proposes a distance‐sensitive distributed repulsive sleeping strategy (DSDRSS), based on hard‐core point process (HCPP). First, through information exchanges, presleeping BSs in the same region form a sleeping cluster (SC) whose size is limited by sleeping distance. Second, BSs in the SC perform BS sleeping with a mark method where BSs will be randomly assigned a mark, and BSs with the lowest mark will remain on to ensure the coverage. Third, to characterize the performance of DSDRSS, the analytical expressions of sleeping probability, coverage probability, and average achievable rate for user equipment (UE) under DSDRSS are derived. Finally, the coverage characteristics of UE under DSDRSS are analyzed and compared with those under different sleeping operations. DSDRSS realizes sleeping operations through the cooperation between BSs in an SC, not relying on the feedback links between a small BS and the control center. As a result, DSDRSS can not only enable flexible perception of traffic changes in sleeping area but also complete sleeping with less overhead. The simulation results show that DSDRSS supports more dependable coverage compared with random sleeping strategy and general repulsive sleeping strategy.

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Section: Related Workmentioning

confidence: 99%

A distance‐sensitive distributed repulsive sleeping approach for dependable coverage in heterogeneous cellular networks

Tang

Zhou

et al. 2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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“…Equation (4) ensures that the number of wavelengths assigned to the ith request does not exceed the maximum number of wavelengths supported by an ONU. Equation (5) ensures that the transmission start time for the ith request on λ w should not be earlier than its arrival time. Equation (6) ensures that, if the ith request does not occupy λ w K i;w 0, then S i;w must be zero.…”

Section: ) Constraintsmentioning

confidence: 99%

“…Therefore, NG-EPON should be designed for a more complex scenario [5][6][7][8][9], where "elephant flow" from, e.g., a cellular base station coexists with "mice flow" from, e.g., a machine-to-machine (M2M) communication.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Bandwidth and Wavelength Allocation Scheme for Next-Generation Wavelength-Agile EPON

Wang¹,

Wang²,

Tornatore³

et al. 2017

J. Opt. Commun. Netw.

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Recently, the IEEE 802.3 Ethernet Working Group has classified three architectures for the nextgeneration Ethernet passive optical network (NG-EPON). They are called single-scheduling domain (SSD) PON, multi-scheduling domain (MSD) PON, and wavelength-agile (WA) PON, and they differ based on how a group of optical network units (ONUs) share a wavelength. Existing dynamic bandwidth and wavelength allocation (DBWA) schemes for conventional EPON can be applied to MSD-PON and SSD-PON, but not WA-PON. This is because WA-PON is a new architecture with full flexibility where a flexible number of wavelengths can be assigned to one ONU, and multiple ONUs can transmit at the same time. In this work, we develop a mathematical model and a novel DBWA scheme for transmission scheduling in WA-PON. However, as WA-PON incurs penalties in terms of delay and power consumption when an ONU activates its transmissions on new wavelengths, a trade-off between energy saving and data-transfer latency reduction needs to be carefully addressed when performing transmission scheduling. So, we develop a power-consumption model and modify the proposed DBWA scheme to enhance the energy efficiency of WA-PON. Finally, we conduct simulation experiments for performance evaluation of the three PON architectures in terms of latency and packet loss ratio. We quantitatively investigate the influence of various parameters, such as the number of ONU transceivers and ONU buffer size, on WA-PON latency and packet loss ratio, and we evaluate the energy efficiency gain of the modified DBWA scheme.

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“…The centralization of DUs enables the sharings of not only computational resources, but also the infrastructure in central cloud. Our previous work has studied how to save power consumption in a virtualized CRAN architecture [5]. However, if all the baseband processing functions are centralized in the central cloud, bandwidth and transmission delay requirement becomes very challenging to satisfy.…”

Section: Introductionmentioning

confidence: 99%

Interplay of energy and bandwidth consumption in CRAN with optimal function split

Wang

Alabbasi

Çavdar

2017

2017 IEEE International Conference on Communications (ICC)

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Abstract-Cloud radio access network (CRAN) has been proposed as a potential energy saving architecture and a scalable solution to increase the capacity and performance of radio networks. The original CRAN decouples the digital unit (DU) from radio unit (RU) and centralizes the DUs. However, stringent delay and bandwidth constraints are incurred by fronthaul in CRAN, i.e. the network segment connecting RUs and DUs. In this study, we propose a modified CRAN architecture, namely hybrid cloud RAN (H-CRAN), where a DU's functionalities can be virtualized and split at several conceivable points. Each split option results in two-level deployment of the processing functions, i.e., central cloud level and edge cloud level, connected by a transport layer called "midhaul". We study the interplay of energy efficiency and midhaul bandwidth consumption when baseband functions are centralized at the edge cloud vs central cloud. We jointly minimize the power and midhaul bandwidth consumption in H-CRAN, while satisfying the network constraints. The addressed problem with the associated constrains are modeled as a mixed integer constraint optimization problem. Numerical results show the compromise between energy and bandwidth consumption, with the optimal placement of baseband processing functions in H-CRAN architecture.

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Energy-Efficient Virtual Base Station Formation in Optical-Access-Enabled Cloud-RAN

Cited by 88 publications

References 20 publications

A distance‐sensitive distributed repulsive sleeping approach for dependable coverage in heterogeneous cellular networks

A distance‐sensitive distributed repulsive sleeping approach for dependable coverage in heterogeneous cellular networks

Dynamic Bandwidth and Wavelength Allocation Scheme for Next-Generation Wavelength-Agile EPON

Interplay of energy and bandwidth consumption in CRAN with optimal function split

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