4 citations · 9 across the 4 of their papers we have counts for
7 papers
Placement Optimization and Power Control in Intelligent Reflecting Surface Aided Multiuser System
Bifeng Ling, Jiangbin Lyu, Liqun Fu
Intelligent reflecting surface (IRS) is a new and revolutionary technology capable of reconfiguring the wireless propagation environment by controlling its massive low-cost passive…
The optimal network throughputs when the model-aware node coexists with other nodes using different MAC protocols
Xiaowen Ye, Yiding Yu, Liqun Fu
In this document, we give the optimal network throughput when the DR-DLMA node (see our paper for definition) coexists with the nodes using other protocol (e.g., TDMA and/or ALOHA)…
Placement Optimization of Aerial Base Stations with Deep Reinforcement Learning
Jin Qiu, Jiangbin Lyu, Liqun Fu
Unmanned aerial vehicles (UAVs) can be utilized as aerial base stations (ABSs) to assist terrestrial infrastructure for keeping wireless connectivity in various emergency scenarios…
Achieving Max-Min Throughput in LoRa Networks
Jiangbin Lyu, Dan Yu, Liqun Fu
With growing popularity, LoRa networks are pivotally enabling Long Range connectivity to low-cost and power-constrained user equipments (UEs). Due to its wide coverage area, a crit…
Energy efficient D2D communications in dynamic TDD systems
Demia Della Penda, Liqun Fu, Mikael Johansson
Network-assisted device-to-device communication is a promising technology for improving the performance of proximity-based services. This paper demonstrates how the integration of…
Link Scheduling in Multi-Transmit-Receive Wireless Networks
Hong-Ning Dai, Soung Chang Liew, Liqun Fu
This paper investigates the problem of link scheduling to meet traffic demands with minimum airtime in a multi-transmit-receive (MTR) wireless network. MTR networks are a new class…