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20202023
most citedMulti-Access Point Coordination for Next-Gen Wi-Fi Networks Aided by Deep Reinforcement Learning

37 citations · 51 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.NI2023★ 2 cited

IEEE 802.11be Network Throughput Optimization with Multi-Link Operation and AP Coordination

Lyutianyang Zhang, Hao Yin, Sumit Roy +3

IEEE 802.11be (Wi-Fi 7) introduces a new concept called multi-link operation (MLO), which allows multiple Wi-Fi interfaces in different bands (2.4, 5, and 6 GHz) to work together t…

cs.NI2021

Performance Analysis and Improvement on DSRC Application for V2V Communication

Liu Cao, Hao Yin, Jie Hu +1

In this paper, we focus on the performance of vehicle-to-vehicle (V2V) communication adopting the Dedicated Short Range Communication (DSRC) application in periodic broadcast mode.…

cs.NI2021

Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning

Lyutianyang Zhang, Hao Yin, Zhanke Zhou +2

Carrier sensing multiple access/collision avoidance (CSMA/CA) is the backbone MAC protocol for IEEE 802.11 networks. However, tuning the binary exponential back-off (BEB) mechanism…

cs.NI2021

Resource Allocation for Vehicle Platooning in 5G NR-V2X via Deep Reinforcement Learning

Liu Cao, Hao Yin

Vehicle platooning, one of the advanced services supported by 5G NR-V2X, improves traffic efficiency in the connected intelligent transportation systems (C-ITSs). However, the pack…

cs.NI2020★ 12 cited

Predicting Channel Quality Indicators for 5G Downlink Scheduling in a Deep Learning Approach

Hao Yin, Xiaojun Guo, Pengyu Liu +2

5G networks provide more bandwidth and more complex control to enhance user's experiences, while also requiring a more accurate estimation of the communication channels compared wi…