Research Fields

The Outline of the National Information Development Strategy points out that by 2020, 5G technology research and development and standards will achieve breakthrough progress. Compared with 4G communication systems, the overall performance of 5G systems will have a qualitative improvement. With the development of the mobile Internet, mobile traffic data will grow rapidly in the future. However, mobile spectrum resources are in short supply. To this end, the 5G communication system will adopt a heterogeneous network structure in which various network scenarios are organically integrated and various key technologies work together. In response to the above problems, the laboratory is focused on exploring efficient wireless resource coordination configuration strategies, designing integrated management schemes for heterogeneous and complex interference, and developing wireless transmission and related key technologies to improve the efficiency of the overall frequency energy of the communication system and meet the diverse needs of future users.

China has been supporting the development of the Vehicular Network as a key deployment area. In September 2017, the State specifically set up a “Special Committee for the Development of the Vehicular Network Industry”, which is responsible for organizing the development of the Vehicular Network development plan and coordinating and solving major problems in the development of the Vehicular Network. The "Guide to the Construction of the National Automotive Internet Industry Standard System" states that the National Automotive Internet Industry Standard System will be basically established by 2020. In order to meet the national strategic needs and the needs of cutting-edge industries, the laboratory conducts research on key technologies of smart vehicular network and conducts smart vehicular network deployment and multi-network access, dynamic resources for intelligent, dense, complex and heterogeneous vehicle network communication scenarios optimize management to achieve high-capacity, high-efficiency, and high-security vehicle-to-vehicle communication.

The surge of mobile data traffic has brought huge data resources, and the development of machine learning, deep learning and other technical means has provided new technical means for the processing of data resources. The introduction of data domain resources provides a priori information for mobile radio resource management methods. The laboratory is limited to traditional data analysis models due to its high complexity, low scalability, and the heterogeneous, multi-source, and cross-domain characteristics of user interaction networks. It has basic theories in the fields of intelligent computing, pattern recognition, machine learning, and data mining Integrate with algorithms, model and analyze wireless mobile data, and use this as a guide to conduct wireless communication technology research.