31 citations · 69 across the 23 of their papers we have counts for
4 papers · 1 filter
Federated Learning Based Proactive Handover in Millimeter-wave Vehicular Networks
Kaiqiang Qi, Tingting Liu, Chenyang Yang
Proactive handover can avoid frequent handovers and reduce handover delay, which plays an important role in maintaining the quality of service (QoS) for mobile users in millimeter-…
Multicell Power Control under Rate Constraints with Deep Learning
Yinghan Li, Shengqian Han, Chenyang Yang
In the paper we study a deep learning based method to solve the multicell power control problem for sum rate maximization subject to per-user rate constraints and per-base station…
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning
Changyang She, Chengjian Sun, Zhouyou Gu +4
As one of the key communication scenarios in the 5th and also the 6th generation (6G) of mobile communication networks, ultra-reliable and low-latency communications (URLLC) will b…
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks
Changyang She, Rui Dong, Zhouyou Gu +6
In the future 6th generation networks, ultra-reliable and low-latency communications (URLLC) will lay the foundation for emerging mission-critical applications that have stringent…