Search Results for author: MinJian Zhao

Found 8 papers, 1 papers with code

A Stochastic Particle Variational Bayesian Inference Inspired Deep-Unfolding Network for Non-Convex Parameter Estimation

no code implementations9 Oct 2023 Zhixiang Hu, An Liu, MinJian Zhao

Given these challenges, firstly, we propose a parallel stochastic particle variational Bayesian inference (PSPVBI) algorithm.

Bayesian Inference

Successive Linear Approximation VBI for Joint Sparse Signal Recovery and Dynamic Grid Parameters Estimation

1 code implementation18 Jul 2023 Wenkang Xu, An Liu, Bingpeng Zhou, MinJian Zhao

To overcome these drawbacks, we first propose a successive linear approximation VBI (SLA-VBI) algorithm that can provide Bayesian estimation of both sparse signals and dynamic grid parameters.

Bayesian Inference

Joint Scattering Environment Sensing and Channel Estimation Based on Non-stationary Markov Random Field

no code implementations6 Feb 2023 Wenkang Xu, Yongbo Xiao, An Liu, Ming Lei, MinJian Zhao

A location domain channel modeling method is proposed based on the position of targets and scatterers in the scattering environment, and the resulting radar and communication channels exhibit a two-dimensional (2-D) joint burst sparsity.

Bayesian Inference Position

Joint Scattering Environment Sensing and Channel Estimation for Integrated Sensing and Communication

no code implementations3 Feb 2023 Wenkang Xu, Yongbo Xiao, An Liu, MinJian Zhao

A location domain channel modeling method is proposed based on the position of targets and scatterers in the scattering environment, and the resulting radar and communication channels exhibit a partially common sparsity.

A Two-stage Multiband WiFi Sensing Scheme via Stochastic Particle-Based Variational Bayesian Inference

no code implementations21 Jul 2022 Zhixiang Hu, An Liu, Yubo Wan, Tony Xiao Han, MinJian Zhao

Multiband fusion enhances WiFi sensing by jointly utilizing signals from multiple non-contiguous frequency bands.

Bayesian Inference

Latency Minimization for mmWave D2D Mobile Edge Computing Systems: Joint Task Allocation and Hybrid Beamforming Design

no code implementations17 Jul 2022 Yanzhen Liu, Yunlong Cai, An Liu, MinJian Zhao, Lajos Hanzo

Mobile edge computing (MEC) and millimeter wave (mmWave) communications are capable of significantly reducing the network's delay and enhancing its capacity.

Edge-computing

Robust Adaptive Beam Tracking for Mobile Millimetre Wave Communications

no code implementations3 May 2020 Chunshan Liu, Min Li, Lou Zhao, Philip Whiting, Stephen V. Hanly, Iain B. Collings, MinJian Zhao

Millimetre wave (mmWave) beam tracking is a challenging task because tracking algorithms are required to provide consistent high accuracy with low probability of loss of track and minimal overhead.

Deep Reinforcement Learning for Resource Management in Network Slicing

no code implementations17 May 2018 Rongpeng Li, Zhifeng Zhao, Qi Sun, Chi-Lin I, Chenyang Yang, Xianfu Chen, MinJian Zhao, Honggang Zhang

Network slicing is born as an emerging business to operators, by allowing them to sell the customized slices to various tenants at different prices.

Management reinforcement-learning +1

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