activity
20112025
most citedSimultaneous Wireless Information and Power Transfer in Modern Communication Systems

972 citations · 4.5k across the 47 of their papers we have counts for

collaborators

49 papers

cs.LG2025

A Neural Rejection System Against Universal Adversarial Perturbations in Radio Signal Classification

Lu Zhang, Sangarapillai Lambotharan, Gan Zheng +1

Advantages of deep learning over traditional methods have been demonstrated for radio signal classification in the recent years. However, various researchers have discovered that e…

cs.AI2024

A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classification

Lu Zhang, Sangarapillai Lambotharan, Gan Zheng +3

Motivated by the superior performance of deep learning in many applications including computer vision and natural language processing, several recent studies have focused on applyi…

cs.AI2024

Countermeasures Against Adversarial Examples in Radio Signal Classification

Lu Zhang, Sangarapillai Lambotharan, Gan Zheng +2

Deep learning algorithms have been shown to be powerful in many communication network design problems, including that in automatic modulation classification. However, they are vuln…

eess.SP2023

Control-Oriented Deep Space Communications For Unmanned Space Exploration

Xinran Fang, Wei Feng, Yunfei Chen +2

In unmanned space exploration, the cooperation among space robots requires advanced communication techniques. In this paper, we propose a communication optimization scheme for a sp…

cs.IT2023

Relay-Enabled Backscatter Communications: Linear Mapping and Resource Allocation

Rui Xu, Liqin Shi, Yinghui Ye +2

Relay-enabled backscatter communication (BC) is an intriguing paradigm to alleviate energy shortage and improve throughput of Internet-of-Things (IoT) devices. Most of the existing…

cs.IT2023★ 35 cited

Deep Learning Based Predictive Beamforming Design

Juping Zhang, Gan Zheng, Yangyishi Zhang +2

This paper investigates deep learning techniques to predict transmit beamforming based on only historical channel data without current channel information in the multiuser multiple…

cs.IT2023★ 15 cited

Model-free Optimization and Experimental Validation of RIS-assisted Wireless Communications under Rich Multipath Fading

Tianrui Chen, Minglei You, Yangyishi Zhang +6

Reconfigurable intelligent surface (RIS) devices have emerged as an effective way to control the propagation channels for enhancing the end-users' performance. However, RIS optimiz…

cs.NI2021

Open-Source Multi-Access Edge Computing for 6G: Opportunities and Challenges

Liqiang Zhao, Guorong Zhou, Gan Zheng +3

Multi-access edge computing (MEC) is capable of meeting the challenging requirements of next-generation networks, e.g., 6G, as a benefit of providing computing and caching capabili…

eess.SP2021

Design and Analysis of SWIPT with Safety Constraints

Constantinos Psomas, Minglei You, Kai Liang +2

Simultaneous wireless information and power transfer (SWIPT) has long been proposed as a key solution for charging and communicating with low-cost and low-power devices. However, t…

cs.IT2021★ 133 cited

Meta-Reinforcement Learning Based Resource Allocation for Dynamic V2X Communications

Yi Yuan, Gan Zheng, Kai-Kit Wong +1

This paper studies the allocation of shared resources between vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) links in vehicle-to-everything (V2X) communications. In e…

cs.IT2021★ 30 cited

Embedding Model Based Fast Meta Learning for Downlink Beamforming Adaptation

Juping Zhang, Yi Yuan, Gan Zheng +2

This paper studies the fast adaptive beamforming for the multiuser multiple-input single-output downlink. Existing deep learning-based approaches assume that training and testing c…

cs.IT2021

Model-driven Learning for Generic MIMO Downlink Beamforming With Uplink Channel Information

Juping Zhang, Minglei You, Gan Zheng +2

Accurate downlink channel information is crucial to the beamforming design, but it is difficult to obtain in practice. This paper investigates a deep learning-based optimization ap…

cs.IT2020★ 6 cited

Transfer Learning and Meta Learning Based Fast Downlink Beamforming Adaptation

Yi Yuan, Gan Zheng, Kai-Kit Wong +2

This paper studies fast adaptive beamforming optimization for the signal-to-interference-plus-noise ratio balancing problem in a multiuser multiple-input single-output downlink sys…

cs.IT2020★ 27 cited

Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration

Juping Zhang, Wenchao Xia, Minglei You +3

This paper studies fast downlink beamforming algorithms using deep learning in multiuser multiple-input-single-output systems where each transmit antenna at the base station has it…

cs.IT2020★ 19 cited

Model-Driven Beamforming Neural Networks

Wenchao Xia, Gan Zheng, Kai-Kit Wong +1

Beamforming is evidently a core technology in recent generations of mobile communication networks. Nevertheless, an iterative process is typically required to optimize the paramete…

cs.IT2019

Specific Absorption Rate-Aware Beamforming in MISO Downlink SWIPT Systems

Juping Zhang, Gan Zheng, Ioannis Krikidis +1

This paper investigates the optimal transmit beamforming design of simultaneous wireless information and power transfer (SWIPT) in the multiuser multiple-input-single-output (MISO)…

cs.IT2019★ 367 cited

A Deep Learning Framework for Optimization of MISO Downlink Beamforming

Wenchao Xia, Gan Zheng, Yongxu Zhu +3

Beamforming is an effective means to improve the quality of the received signals in multiuser multiple-input-single-output (MISO) systems. Traditionally, finding the optimal beamfo…

cs.NI2018★ 2 cited

Content Placement in Cache-Enabled Sub-6 GHz and Millimeter-Wave Multi-antenna Dense Small Cell Networks

Yongxu Zhu, Gan Zheng, Lifeng Wang +2

This paper studies the performance of cache-enabled dense small cell networks consisting of multi-antenna sub-6 GHz and millimeter-wave base stations. Different from the existing w…

cs.IT2017★ 3 cited

Full-Duplex Cloud Radio Access Network: Stochastic Design and Analysis

Arman Shojaeifard, Kai-Kit Wong, Wei Yu +2

Full-duplex (FD) has emerged as a disruptive communications paradigm for enhancing the achievable spectral efficiency (SE), thanks to the recent major breakthroughs in self-interfe…

cs.IT2017★ 1 cited

Secure Full-Duplex Two-Way Relaying for SWIPT

Alexander A. Okandeji, Muhammad R. A. Khandaker, Kai-Kit Wong +3

This letter studies bi-directional secure information exchange in a simultaneous wireless information and power transfer (SWIPT) system enabled by a full-duplex (FD) multiple-input…

cs.IT2017

Beamforming Optimization for Full-Duplex Wireless-powered MIMO Systems

Batu K. Chalise, Himal A. Suraweera, Gan Zheng +1

We propose techniques for optimizing transmit beamforming in a full-duplex multiple-input-multiple-output (MIMO) wireless-powered communication system, which consists of two phases…

cs.NI2017★ 5 cited

A New Look at Physical Layer Security, Caching, and Wireless Energy Harvesting for Heterogeneous Ultra-dense Networks

Lifeng Wang, Kai-Kit Wong, Shi Jin +2

Heterogeneous ultra-dense networks enable ultra-high data rates and ultra-low latency through the use of dense sub-6 GHz and millimeter wave (mmWave) small cells with different ant…

cs.IT2017

Truth-Telling Mechanism for Secure Two-Way Relay Communications with Energy-Harvesting Revenue

Muhammad R. A. Khandaker, Kai-Kit Wong, Gan Zheng

This paper brings the novel idea of paying the utility to the winning agents in terms of some physical entity in cooperative communications. Our setting is a secret two-way communi…

cs.IT2017

Simultaneous Wireless Information and Power Transfer in MISO Full-Duplex Systems

Alexander A. Okandeji, Muhammad R. A. Khandaker, Kai-Kit Wong +3

This paper investigates a multiuser multiple-input single-output (MISO) full-duplex (FD) system for simultaneous wireless information and power transfer (SWIPT), in which a multi-a…