Research Institute of Broadband Wireless Mobile Communications

The Research Institute of Broadband Wireless Mobile Communications (RIBWMC) belongs to the School of Electronic and Information Engineering of Beijing Jiaotong University, with 25 staff, among which there are 13 full professors/research fellows, and many staff are PhDs from famous international universities. The current director of RIBWMC is Professor Jing, Tao. The research institute include the research lab of Cyber-Physics System (CPS) and Industry Software, lab of broadband cooperative communications, and lab of Communications. The research area covers the theory and key technology of wireless communication systems, industry internet, Digital trunked communication, Cognitive Radio and Intelligent communication, satellite navigation and control system, radio propagation and channel modeling.

Research directions:

1) Industrial Internet: the AI, Edge Computating, massive Machine-to-Machine communications in the intelligent manufacture; security of Industrial Internet; radio channel and interference of Industrial Internet. Currently taking the research project from Ministry of Industry and Information Technology “the Manufacture and Executive System towards CPS”(with funding 70 million RMB). Proposed the intelligent manufacture framework based on distributed Federated Learning and Device-to-Device communications, large scale computation offloading approach for Edge Computing based on Mean-Field Games, and Industrial Internet security mechanisms based on Block-Chain and Physical-layer security technique. The corresponding research output appears on IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, etc.

2) Future Wireless Network Security and Radio Resource Management: proposed cross-layer (Physical-Network-Application layers) and cross-domain (Cellular and Ad-hoc networks) secure transmission and privacy-preserving framework, supporting cooperative interference-based physical layer secure transmission strategy for multi-services heterogeneous networks, achieving cross-domain security. For future mobile communications scenarios, proposed machine-learning (ML)-based radio resource management schemes, in order to improve the Quality-of-Experience (QoE) of users and to increase both the system spectral efficiency and the energy efficiency. Results published in IEEE Communications Magazine、IEEE Wireless Communications、IEEE Transactions on Parallel and Distributed Systems、IEEE Transactions on Vehicular Technology、IEEE Internet of Things Journal，and commented as “Provide some thoughtful discussions and very valuable information on future research directions”。

3）Cognitive Radio and Intelligent communication：proposed the concept of Radio Environment Map (REM) and the corresponding system design methods. REM had been accepted by the international standard organizations like ITU-R、IEEE、ETSI，and had been commented by IEEE Communication Magazineas the “key enabler to achieve Cognitive Radio Networks”。

4）Wireless trunked communication and satellite navigation：this research direction include mobile communication, satellite navigation and high-speed DSP, and the output has been implemented for military, police, transportation industry.

5）Radio Propagation and channel modeling: proposing measurement and channel modeling methods for broadband radio channels, developed high-accuracy channel measurement platform, and fulfilled channel measurement for high-speed railway, vehicular networks, industrial Internet of things, and power Internet of things, and created corresponding channel model database.