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20092023
most citedMachine Learning for Large-Scale Optimization in 6G Wireless Networks

9 citations · 20 across the 8 of their papers we have counts for

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Showing cs.ITShow all

5 papers · 1 filter

cs.IT2023

IRS-Aided Sectorized Base Station Design and 3D Coverage Performance Analysis

Xintong Chen, Jiangbin Lyu, Liqun Fu

Intelligent reflecting surface (IRS) is regarded as a revolutionary paradigm that can reconfigure the wireless propagation environment for enhancing the desired signal and/or weake…

cs.IT2021

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…

cs.IT2019★ 3 cited

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…

cs.IT2019

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…

cs.IT2015

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…