An adaptive scheduling method and system for multi-service integration in a home base station

Abstract

The invention discloses an adaptive scheduling method and system for multi-service integration in a home base station. Aiming at the characteristics of indoor communication networks, a home base station system with a new architecture is adopted. According to the business QoS (Quality of Service, service Classify services based on quality) characteristics, and provide users with differentiated services by adopting a multi-service integration hierarchical resource scheduling strategy. When the resource load status changes, adaptively adjust the resource allocation strategy and balance the contradiction between data throughput and service QoS, which can effectively improve the resource utilization performance of the system and adapt to the trend of terminal service diversification and QoS differentiation. The simulation result shows that, compared with the traditional RR algorithm and the improved A_ARS algorithm, the inventive method obtains higher throughput, greatly reduces the packet loss rate when overloaded, and ensures the fairness of the service.

Description

Technical field [0001] The present invention relates to the field of electronic communication technologies, and more particularly to an adaptive scheduling method and system of multi-service fusion in a home base station. Background technique [0002] According to the statistics of more than 80% of the communication business data, indoor communication has become the most important access link in the communication network. With the development of the Internet of Things technology, the existing home base station resource allocation mechanism will be It is difficult to meet the needs of future communication capacity, stable and efficient resource scheduling algorithms will be the first problem that the future 5G needs to be resolved. In the current indoor network environment, a variety of wireless signals coexist, the interference interference is severe, the spectral resources are wasteful, and the complexity of the indoor wireless communication network is increased, and the focus o...

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Literature: A Primer on 3GPP Narrowband Internet of Things (Wang Y P E, Lin X, Adhikary A, et al. A Primer on 3GPP Narrowband Internet of Things [J]. IEEE Communications Magazine, 2017, 55(3): 117-123.), A cloud-based resource sharing model is proposed for 5G small data, which improves the utilization efficiency of time-frequency resources, but does not consider the QoS requirements of big data services

Literature: Resource Allocation Scheme Based on Clustering in Dense Femtocell Networks (Jin Yong, Gong Shengli. Resource Allocation Scheme Based on Clustering in Dense Femtocell Networks [J]. Computer Applications, 2018, 38(01): 217-221. ), a family-based resource allocation scheme is proposed for the interference problem of the home base station, which achieves a good compromise between spectrum efficiency and interference elimination, but cannot fundamentally meet the QoS requirements of the business

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