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- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM) - K?¤rdla, Estonia (2019.6.12-2019.6.15)] 2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM) - Impact of LED Thermal Stability to Household Lighting Harmonic Load Current Modeling
摘要： This paper focuses on energy efficiency aspects and related benefits of radio-access-network-as-a-service (RANaaS) implementation (using commodity hardware) as architectural evolution of LTE-advanced networks toward 5G infrastructure. RANaaS is a novel concept introduced recently, which enables the partial centralization of RAN functionalities depending on the actual needs as well as on network characteristics. In the view of future definition of 5G systems, this cloud-based design is an important solution in terms of efficient usage of network resources. The aim of this paper is to give a vision of the advantages of the RANaaS, to present its benefits in terms of energy efficiency and to propose a consistent system-level power model as a reference for assessing innovative functionalities toward 5G systems. The incremental benefits through the years are also discussed in perspective, by considering technological evolution of IT platforms and the increasing matching between their capabilities and the need for progressive virtualization of RAN functionalities. The description is complemented by an exemplary evaluation in terms of energy efficiency, analyzing the achievable gains associated with the RANaaS paradigm.
关键词： power model,radio access networks,RAN-as-a-service,LTE-advanced,5G,wireless communication,cloud-RAN,Energy efficiency
更新于2025-09-23 15:19:57
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[IEEE 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL) - Sozopol, Bulgaria (2019.9.6-2019.9.8)] 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL) - Luminescence of Polyamide-6 ?± and ?3 forms (Invited)
摘要： This paper focuses on energy efficiency aspects and related benefits of radio-access-network-as-a-service (RANaaS) implementation (using commodity hardware) as architectural evolution of LTE-advanced networks toward 5G infrastructure. RANaaS is a novel concept introduced recently, which enables the partial centralization of RAN functionalities depending on the actual needs as well as on network characteristics. In the view of future definition of 5G systems, this cloud-based design is an important solution in terms of efficient usage of network resources. The aim of this paper is to give a vision of the advantages of the RANaaS, to present its benefits in terms of energy efficiency and to propose a consistent system-level power model as a reference for assessing innovative functionalities toward 5G systems. The incremental benefits through the years are also discussed in perspective, by considering technological evolution of IT platforms and the increasing matching between their capabilities and the need for progressive virtualization of RAN functionalities. The description is complemented by an exemplary evaluation in terms of energy efficiency, analyzing the achievable gains associated with the RANaaS paradigm.
关键词： 5G,LTE-advanced,RAN-as-a-service,Energy efficiency,power model,radio access networks,cloud-RAN,wireless communication
更新于2025-09-16 10:30:52
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[IEEE 2019 18th International Conference on Optical Communications and Networks (ICOCN) - Huangshan, China (2019.8.5-2019.8.8)] 2019 18th International Conference on Optical Communications and Networks (ICOCN) - Baseband Unit Aggregation Based on Deep Reinforcement Learning in Cloud Radio Access Networks
摘要： We propose a deep reinforcement learning based baseband unit aggregation policy. The proposed policy is able to guarantee users’ quality of service while keeping BBU pool energy-efficient. Simulation results show that up to 80% less migration traffic can be achieved compared with benchmark heuristics with only 11% higher power consumption.
关键词： Machine Learning,Cloud RAN,BBU Aggregation
更新于2025-09-16 10:30:52
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[IEEE 2018 IEEE 5G World Forum (5GWF) - Silicon Valley, CA, USA (2018.7.9-2018.7.11)] 2018 IEEE 5G World Forum (5GWF) - CHRONOS: A Cloud based Hybrid RF-Optical Network Over Synchronous Links
摘要： This paper presents CHRONOS, a Cloud based Hybrid RF-Optical Network Over Synchronous Links. The primary goal of this project is to design, build and maintain a multi-node, heterogeneous, wideband, scalable, hybrid and synchronous Cloud Radio Access Network (Cloud RAN or C-RAN), specifically to support emerging applications requiring both THz-optical and conventional sub-6GHz technologies like Wi-Fi and cellular networks. The novelty of the testbed is in enhancing the core capabilities of C-RAN in multiple directions by integrating synchronous RF and Optical links that is not considered for contemporary C-RAN deployments. The long term goal of this project is to utilize the testbed to enable practical research in wireless and optical communication with emphasis on new hardware and software architecture for signal processing. In this paper, we present the design, implementation and initial results of CHRONOS, in an indoor setting, with a clear path to a scalable and real-time network. Our results show synchronous reception across multiple edge nodes while achieving an aggregate bandwidth of 108Mbps using 20MHz OFDM waveform in each RF and optical paths.
关键词： CHRONOS,Cloud RAN,sub-6GHz,THz-optical,Synchronous Links,cellular networks,RF-Optical Network,Wi-Fi
更新于2025-09-09 09:28:46