Design Energy-Efficient Scheduling Schemes with Qos Considerations for Cloud Radio Access Networks with Dynamic Joint Processing and Carrier Aggregation for Next Generation Wireless Networks

Currently, 5G/B5G (the fifth-generation/beyond 5G) mobile communication system is one of the most important goals for global research and development. Among them, cloud-based radio access and function virtualization technologies can achieve the optimal management of wireless resources and effectively provide wireless sharing. In order to achieve cloud radio access and function virtualization in 5G/B5G, the traditional core network architecture will be fully virtualized as a cloud core and combined with cloud radio access network (Cloud-RAN) to create a new generation mobile communication system. Therefore, through the cloud network virtualization and software-defined network architecture, multiple base stations to collaborate services can be realized. Through dynamic point selection (DPS) and coordinated multipoint (CoMP) technologies, multiple base stations can provide time-frequency sharing and accessing. In addition, Cloud-RAN also supports carrier aggregation (CA), which makes use of the characteristics in high and low spectrum so as to achieve dynamic carrier allocation that can greatly improve network performance. To ensure the quality of service (QoS) of mobile applications, the new standard has defined multiple QoS classes to ensure their requirements. Besides, it also provide the discontinuous reception mechanism (DRX) to save devices’ energy by allowing them to turn off their radio interfaces when they are idle. However, how to leverage such new technologies, including dynamic point selection, joint transmission, carrier aggregation, and multiple input multiple output (MIMO) for mobile devices and manage their radio resources in Cloud-RAN networks while conserving their energy is still left as open issues. In this project, we consider the above comprehensive aspects and design a suit of schemes to guarantee the QoS while minimizing the consumed energy of those high traffic load and low power mobile devices.This project aims to propose a three-year research work. In the first year, we will study the energy-saving management for the Cloud-RAN networks with dynamic point selection and collaborative transmission technologies. In the second year, we further investigate the energy conservation design for Cloud-RAN networks with carrier aggregation. In the third year, we will extend the results of the previous two years and consider the resource management for downlink communications with the coordinated transmission and multi-antenna. This research work studies the resource management and sleep scheduling design of the new Cloud-RAN networks. For those designed protocols and mechanisms, we will consider real-time multimedia services and a great number of mobile communication applications. We will verify the proposed solution through performance analyses and simulation evaluations. These methods and results are expected to produce significant progress on the new generation of communication networks.

Project ID:PB10907-4401
External Project ID:MOST109-2221-E182-039-MY3