185 citations · 586 across the 15 of their papers we have counts for
6 papers · 1 filter
Low-Complexity Linear Equalization for OTFS Systems with Rectangular Waveforms
Wenjun Xu, Tingting Zou, Hui Gao +3
Orthogonal time frequency space (OTFS) is a promising technology for high-mobility wireless communications. However, the equalization realization in practical OTFS systems is a gre…
D2D-Enabled Mobile User Edge Caching: A Multi-Winner Auction Approach
Tiankui Zhang, Xinyuan Fang, Yuanwei Liu +2
In device-to-device (D2D)-enabled caching cellular networks, the user terminals (UTs) collaboratively store and share a large volume of popular contents from the base station (BS)…
Low-Complexity Linear Equalizers for OTFS Exploiting Two-Dimensional Fast Fourier Transform
Junqiang Cheng, Hui Gao, Wenjun Xu +2
Orthogonal time frequency space (OTFS) modulation can effectively convert a doubly dispersive channel into an almost non-fading channel in the delay-Doppler domain. However, one cr…
Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoT
Yue Xu, Zengde Deng, Mengdi Wang +3
The recent success of single-agent reinforcement learning (RL) in Internet of things (IoT) systems motivates the study of multi-agent reinforcement learning (MARL), which is more c…
Load Balancing for Ultra-Dense Networks: A Deep Reinforcement Learning Based Approach
Yue Xu, Wenjun Xu, Zhi Wang +2
In this paper, we propose a deep reinforcement learning (DRL) based mobility load balancing (MLB) algorithm along with a two-layer architecture to solve the large-scale load balanc…
Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification
Yue Xu, Feng Yin, Wenjun Xu +2
The cloud radio access network (C-RAN) is a promising paradigm to meet the stringent requirements of the fifth generation (5G) wireless systems. Meanwhile, wireless traffic predict…