Scan Science and Technology
Contact Leading Edge Experts & Companies
The Experts below are selected from a list of 68784 Experts worldwide ranked by ideXlab platform
Akihiro Otaka – One of the best experts on this subject based on the ideXlab platform.
Optical Access Network technologies for future radio Access Networks2017 IEEE Photonics Society Summer Topical Meeting Series (SUM), 2017Co-Authors: Jun Terada, Tatsuya Shimada, Akihiro OtakaAbstract:
This paper describes optical Access Network technologies that support future radio Access Networks. Packet-based BBU is expected to accommodate multiple services and PON with low-latency scheme is a promising candidate to for MFH transmission in future radio Access Networks.
Solutions for Future Mobile Fronthaul and Access–Network ConvergenceJournal of Lightwave Technology, 2017Co-Authors: Jun-ichi Kani, Jun Terada, Ken-ichi Suzuki, Akihiro OtakaAbstract:
The trend in broadband Access services is shifting from the fixed to the mobile. Accordingly, the role of the optical Access Network systems is changing from the fiber-to-the-home/fiber-to-the-building infrastructure to a common Access platform that supports both the fixed and mobile broadband services. It is expected that various virtual Network operators will provide a variety of services on the common platform. In particular, the mobile fronthaul (MFH) using optical Access is becoming more important in terms of supporting the massive deployment of small cells given the continuous speed increase in mobile Access. This paper first reviews and discusses solutions for future MFH Networks to address several issues in the evolution of the radio Access Network. It next discusses Access–Network convergence for the fixed and mobile services, and describes technologies and an architecture to realize this convergence. The overall motivation of these works is to reduce the total cost of Access Network ownership.
Yonggang Wen – One of the best experts on this subject based on the ideXlab platform.
Cloud radio Access Network (C-RAN): A primerIEEE Network, 2015Co-Authors: Jun Wu, Zhifeng Zhang, Yu Hong, Yonggang WenAbstract:
In the era of mobile Internet, mobile operators are facing pressure on ever-increasing capital expenditures and operating expenses with much less growth of income. Cloud Radio Access Network (C-RAN) is expected to be a candidate of next generation Access Network techniques that can solve operators’ puzzle. In this article, on the basis of a general survey of C-RAN, we present a novel logical structure of C-RAN that consists of a physical plane, a control plane, and a service plane. Compared to traditional architecture, the proposed C-RAN architecture emphasizes the notion of service cloud, service-oriented resource scheduling and management, thus it facilitates the utilization of new communication and computer techniques. With the extensive computation resource offered by the cloud platform, a coordinated user scheduling algorithm and parallel optimum precoding scheme are proposed, which can achieve better performance. The proposed scheme opens another door to design new algorithms matching well with C-RAN architecture, instead of only migrating existing algorithms from traditional architecture to C-RAN.
Eliane Bodanese – One of the best experts on this subject based on the ideXlab platform.
Radio Access Network Selection in a Heterogeneous Communication Environment2009 IEEE Wireless Communications and Networking Conference, 2009Co-Authors: Weizhi Luo, Eliane BodaneseAbstract:
In recent years, a variety of wireless Network technologies have been developed and deployed, including UMTS, WiFi, and WiMAX. The overlapping of different Networks creates heterogeneous wireless environments, which can enable seamless communications, joint resource management and adaptive quality of service. In such environments, operators do not need to reject user requests, but redirect them to the most appropriate Networks. However, heterogeneous wireless systems still have many pending issues to solve. One of them is the selection of the most appropriate radio Access Network when receiving a service request. This paper addresses this issue by proposing an adaptive and efficient algorithm. The simulation results show that the proposed radio Access Network selection algorithm can improve the Network performance and capacity.