Search Results for author:
Found 8 papers, 1 papers with code
STAR-RIS Assisted Wireless-Powered and Backscattering Mobile Edge Computing Networks
Wireless powered and backscattering mobile edge computing (WPB-MEC) network is a novel network paradigm to supply energy supplies and computing resource to wireless sensors (WSs).
Stochastic Maximum Likelihood Direction Finding in the Presence of Nonuniform Noise Fields
In this letter, we employ and design the expectation--conditional maximization either (ECME) algorithm, a generalisation of the EM algorithm, for solving the maximum likelihood direction finding problem of stochastic sources, which may be correlated, in unknown nonuniform noise.
Hierarchical Deep Reinforcement Learning for Age-of-Information Minimization in IRS-aided and Wireless-powered Wireless Networks
In this paper, we focus on a wireless-powered sensor network coordinated by a multi-antenna access point (AP).
EM-Type Algorithms for DOA Estimation in Unknown Nonuniform Noise
Moreover, we design two SAGE algorithms for computing the stochastic ML estimator, in which the first updates the DOA estimates simultaneously while the second updates the DOA estimates sequentially.
EM and SAGE algorithms for DOA Estimation in the Presence of Unknown Uniform Noise
After being improved, numerical results illustrate that the EM algorithm has similar convergence with the MEM algorithm and the SAGE algorithm outperforms the EM and MEM algorithms for the deterministic signal model.
Optimization-driven Hierarchical Learning Framework for Wireless Powered Backscatter-aided Relay Communications
In this paper, we employ multiple wireless-powered relays to assist information transmission from a multi-antenna access point to a single-antenna receiver.
Robust Beamforming for IRS-assisted Wireless Communications under Channel Uncertainty
By adjusting the magnitude of reflecting coefficients, the IRS can sustain its operations by harvesting energy from the AP's signal beamforming.
Optimized Energy and Information Relaying in Self-Sustainable IRS-Empowered WPCN
We propose time-switching (TS) and power-splitting (PS) schemes for the IRS, where the IRS can harvest energy from the HAP's signals by switching between energy harvesting and signal reflection in the TS scheme or adjusting its reflection amplitude in the PS scheme.
