31 citations · 72 across the 7 of their papers we have counts for
7 papers · 1 filter
Hybrid Bit and Semantic Communications for UAV-Enabled Wireless Power Transfer Networks: A Decision-Assisted Deep Reinforcement Learning Approach
Jingfu Li, Jingjing Cui, Chong Huang +5
Semantic communications which can significantly reduce spectrum consumption in wireless networks, have recently become a popular research area. When combined with wireless power tr…
Joint Transmission for Cellular Networks with Pinching Antennas: System Design and Analysis
Enzhi Zhou, Jingjing Cui, Ziyue Liu +2
As an emerging flexible antenna technology for wireless communications, pinching-antenna systems, offer distinct advantages in terms of cost efficiency and deployment flexibility.…
General Hamiltonian Representation of ML Detection Relying on the Quantum Approximate Optimization Algorithm
Jingjing Cui, Gui Lu Long, Lajos Hanzo
The quantum approximate optimization algorithm (QAOA) conceived for solving combinatorial optimization problems has attracted significant interest since it can be run on the existi…
Quantum Approximate Optimization Algorithm Based Maximum Likelihood Detection
Jingjing Cui, Yifeng Xiong, Soon Xin Ng +1
Recent advances in quantum technologies pave the way for noisy intermediate-scale quantum (NISQ) devices, where quantum approximation optimization algorithms (QAOAs) constitute pro…
Minimum-Delay Routing for Integrated Aeronautical Ad Hoc Networks Relying on Passenger-Planes in the North-Atlantic Region
Jingjing Cui, Dong Liu, Jiankang Zhang +3
Relying on multi-hop communication techniques, aeronautical ad hoc networks (AANETs) seamlessly integrate ground base stations (BSs) and satellites into aircraft communications for…
Energy-Efficient Proactive Caching for Fog Computing with Correlated Task Arrivals
Hong Xing, Jingjing Cui, Yansha Deng +1
With the proliferation of latency-critical applications, fog-radio network (FRAN) has been envisioned as a paradigm shift enabling distributed deployment of cloud-clone facilities…