A5080309603- Satellite Communication Systems
- Advanced Wireless Communication Technologies
- UAV Applications and Optimization
- Advanced MIMO Systems Optimization
- Opportunistic and Delay-Tolerant Networks
- Telecommunications and Broadcasting Technologies
Beihang University
2022-2023
Ministry of Industry and Information Technology
2023
China Mobile (China)
2022
Beijing Institute of Technology
2022
University of Windsor
2022
Northwestern Polytechnical University
2022
Nanjing University of Aeronautics and Astronautics
2022
As the fifth-generation (5G) mobile communication network may not meet requirements of emerging technologies and applications, including ubiquitous coverage, industrial internet things (IIoT), artificial intelligence (AI), digital twins (DT), etc., this paper aims to explore a novel space-air-ground integrated (SAGIN) architecture support these new for sixth-generation (6G) in flexible, low-latency efficient manner. Specifically, we first review evolution network, followed by application...
This letter studies energy-efficient rate-splitting multiple access (RSMA) for multigroup multicast and multibeam satellite communication systems. Specifically, we minimize the unmet system capacity, which means rate difference between requested user effective achieved rate, energy consumption by optimizing power allocation under per-feed sum radiated constraints. To solve non-convex optimization problem, auxiliary variables epigraph method are introduced to transform original problem into a...
Traffic measurement will play an essential role in future networks to reveal the traffic requirements of users, which support network operations like resource allocation. In this article, we study traffic-aware allocation problem for downlink rate-splitting multiple access (RSMA) based unmanned aerial vehicle (UAV) communications. Specifically, with help measurement, user on achievable rate are known as prior knowledge UAV. Considering requirements, maximize energy efficiency UAV by jointly...
The satellite-ground integrated network (SGIN), consisting of satellites and ground base stations, is regarded as the trend to solve problem global coverage. However, highly dynamic scenarios pose great challenges users' mobility management, especially handover decisions. With rapid development machine learning, reinforcement learning (RL), such Q-learning deep Q-network (DQN), has been applied decision making owing being good at solving multi-attribute optimization problems. can be a waste...
This paper studies the joint three-dimensional (3D) deployment and beamforming problem for a rate-splitting multiple access (RSMA)-enabled unmanned aerial vehicle base station (UBS) assisted by geographic information. Specifically, we maximize minimum achievable rate among users optimizing beamforming, allocation UBS considering power building blockages constraints. To solve intractable problem, an alternating optimization scheme is proposed. In particular, first split formulated into three...
With the demand for Internet connectivity in remote areas, space-air-ground integrated network (SAGIN) was proposed to achieve ubiquitous coverage and enhance service capabilities of extant terrestrial networks. The paradigm virtual element placement (NEP) is applied into SAGIN. It can save energy operating costs by placing specific elements (NEs) as software instances. In addition, it helps provide services end-to-end networks with its ability allocate manage resources flexibly. However,...