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Energy-Efficient UAV-Driven Multi-Access Edge Computing: A Distributed Many-Agent Perspective
Yuanjian Li;A. S. Madhukumar;Tan Zheng Hui Ernest;Gan Zheng;Walid Saad;A. Hamid Aghvami
IEEE Transactions on Communications
Year: 2025 | Early Access Article |
In this paper, the problem of energy-efficient unmanned aerial vehicle (UAV)-assisted multi-access task offloading is investigated. In the studied system, several UAVs are deployed as edge servers to cooperatively aid task executions for several energy-limited computation-scarce terrestrial user equipments (UEs). An expected energy efficiency maximization problem is then formulated to jointly opti...Show More
Enhancing Uplink Performance for Cell-Free Massive MIMO With Low-Resolution ADCs by RSMA
Yao Zhang;Wenchao Xia;Haitao Zhao;Yijie Mao;Jiayi Zhang;Gan Zheng
This paper explores the potential of employing rate-splitting multiple access to enhance the achievable rate and energy efficiency (EE) of an uplink cell-free massive multiple-input multiple-output (MIMO) system, where the access points (APs) are configured with low-resolution analog-to-digital converters (ADCs) to minimize the hardware expense and power consumption. Taking the large-scale fading ...Show More
Performance Enhancement for Cell-Edge Users via UAVs in Cellular Networks
IEEE Transactions on Communications
Year: 2025 | Early Access Article |
In cellular networks, the performance of cell-edge users is notably deficient, especially for those receiving almost comparable signal strengths from the serving base station (BS) and interfering BS(s). To improve their performance, a cell-edge UAV deployment scheme is proposed, where the UAVs are deployed to hover over these cell-edge users to serve them. Specifically, the locations of BSs are mo...Show More
Performance Enhancement for Cell-Edge Users via UAVs in Cellular Networks
Year: 2025 | Early Access Article |
Digital Twin Assisted Deep Reinforcement Learning for Computation Offloading in UAV Systems
Kai Liang;Yawei Wang;Zan Li;Gan Zheng;Kai-Kit Wong;Chan-Byoung Chae
IEEE Transactions on Vehicular Technology
Year: 2025 | Early Access Article |
The emerging digital twin (DT) technology involves creating a digital clone of the physical world through techniques such as computer simulation and machine learning. This facilitates the management and decision-making of the physical world. In this correspondence, we propose a DT-assisted deep reinforcement learning (DRL) method to optimize the decision of computation offloading in an unmanned ae...Show More
A Hybrid Quantum-Classical Autoencoder Framework for End-to-End Communication Systems
This letter investigates the application of quantum machine learning to End-to-End (E2E) communication systems in wireless fading scenarios. We introduce a novel hybrid quantum-classical autoencoder architecture that combines parameterized quantum circuits with classical deep neural networks (DNNs). Specifically, we propose a hybrid quantum-classical autoencoder (QAE) framework to optimize the E2E...Show More
Smart Wireless Environment Enhanced Telecommunications: An Industrial Review on Network Stabilization
Yangyishi Zhang;Khethiwe Mhlope Ziwenjere;Aaron Walker;Tianrui Chen;Minglei You;Fraser Burton;Gabriele Gradoni;Gan Zheng
The 5G wireless network is now part of the critical national infrastructure of developed nations. Wireless network operators must strive to improve performance in order to be competitive, whilst reducing costs in order to be profitable. State-of-the-art technology informs the future direction of the industry but network operators’ operational and commercial needs also need to inform the direction ...Show More
Reliability-Oriented Resource Allocation in Short-Packet Backscatter Communications
In this paper, we investigate a short-packet backscatter communication (BackCom) network, where multiple Internet of Things (IoT) nodes (INs) subsequently backscatter their short-packet data to the information receiver via BackCom. In order to improve the reliability of the investigated network, we formulate an optimization problem to minimize the maximum error probability (EP) among all INs by jo...Show More
Performance Analysis of RIS-Aided CF-MMIMO Systems With Variant Conjugate Beamforming Under Correlated Rician Fading Channels
Yao Zhang;Wenchao Xia;Gan Zheng;Sangarapillai Lambotharan;Xichun Sheng;Yaoqi Sun
IEEE Transactions on Vehicular Technology
Year: 2024 | Early Access Article |
In this paper, we investigate a downlink (DL) cell-free massive multiple-input multiple-output (CF-mMIMO) system equipped with reconfigurable intelligent surfaces (RISs) and explore how RISs affect the DL rate under spatially correlated Rician fading channels and variant conjugate beamforming (CB) schemes. Relying on the imperfect channel state information, tight closed-form achievable rate expres...Show More
Hybrid Quantum-Classical Neural Networks for Downlink Beamforming Optimization
Juping Zhang;Gan Zheng;Toshiaki Koike-Akino;Kai-Kit Wong;Fraser A. Burton
This paper investigates quantum machine learning to optimize the beamforming in a multiuser multiple-input single-output downlink system. We aim to combine the power of quantum neural networks and the success of classical deep neural networks to enhance the learning performance. Specifically, we propose two hybrid quantum-classical neural networks to maximize the sum rate of a downlink system. The...Show More
Under-Determined DOA Estimation: A Method Based on Higher-Order Statistics and Non-Uniform Arrays
Direction of arrival (DOA) estimation is widely used in many applications. Traditional DOA estimation generally adopts the second-order statistics and the uniform linear array (ULA) structure. However, the second-order statistics and the uniform array structure restrict the number of DOAs that can be accurately estimated. In addition, the performance of the second-order statistics-based methods is...Show More
Ambient Backscatter Communication With HARQ Assisted Hybrid Long-Short Packets
This letter investigates the performance of an ambient backscatter communication (BackCom) network with hybrid automatic repeat request (HARQ) assisted hybrid long and short packets, where a base station transmits long packets to a cellular user while an Internet of Things (IoT) node performs short-packet BackCom with retransmissions. For the IoT node’s short-packet BackCom, we adopt both the HARQ...Show More
A Data and Model-Driven Deep Learning Approach to Robust Downlink Beamforming Optimization
This paper investigates the optimization of the probabilistically robust transmit beamforming problem with channel uncertainties in the multiuser multiple-input single-output (MISO) downlink transmission. This problem poses significant analytical and computational challenges. Currently, the state-of-the-art optimization method relies on convex restrictions as tractable approximations to ensure rob...Show More
Performance vs. Cost Tradeoff for Network Slicing in Open RAN: An Intelligent Hierarchical Algorithm for Flexible Utility-Control
Guorong Zhou;Liqiang Zhao;Gan Zheng;Shenghui Song;Kwang-Cheng Chen
The emergence of sophisticated applications and vertical services results in ever more complex mobile networks. Hence radio access network (RAN) slicing based on the traditional private network architecture is struggling to satisfy the resultant diverse quality of service (QoS) requirements. The fledgling next-generation Open RAN is capable of creating a large number of virtual network slices, wit...Show More
Success Probability of Cell-Boundary Users via A Flying UAV in Cellular Networks
2024 IEEE Wireless Communications and Networking Conference (WCNC)
Year: 2024 | Conference Paper |
In cellular networks, the performance of cell-boundary users with almost equal distance from the serving base station (BS) and the nearest interfering BS(s) is extremely poor. In order to improve the performance of these users, this paper proposes a cell-boundary UAV deployment scheme. To quantify the performance enhancement, the locations of BSs are modeled as a Poisson point process forming Voro...Show More
Control-Oriented Deep Space Communications for Unmanned Space Exploration
In unmanned space exploration, the cooperation among space robots requires advanced communication techniques. In this paper, we propose a communication optimization scheme for a specific cooperation system named the “mother-daughter system”. In this setup, the mother spacecraft orbits the planet, while daughter probes are distributed across the planetary surface. During each control cycle, the mot...Show More
Priority-Based Load Balancing With Multiagent Deep Reinforcement Learning for Space–Air–Ground Integrated Network Slicing
Haiyan Tu;Paolo Bellavista;Liqiang Zhao;Gan Zheng;Kai Liang;Kai-Kit Wong
IEEE Internet of Things Journal
Cited by: Papers (1)
Space-air–ground integrated network (SAGIN) slicing has been studied for supporting diverse applications, which consists of the terrestrial layer (TL) deployed with base stations (BSs), the aerial layer (AL) deployed with unmanned aerial vehicles (UAVs), as well as the space layer (SL) deployed with low earth orbit (LEO) satellites. The capacity of each SAGIN component is limited, and efficient an...Show More
Performance Analysis for Relay-Assisted Short-Packet Backscatter Communications
Wengang Zhou;Liqin Shi;Yinghui Ye;Xi Song;Haijian Sun;Gan Zheng
Most of works on backscatter communication (BackCom) assume the availability of a direct link from the BackCom transmitter to its receiver and the long-packet transmission for BackCom. However, the above assumptions may be inapplicable in some practical Internet of Things (IoT) applications, e.g., industrial automation. Motivated by this, this article proposes and studies a relay assisted short-pa...Show More
Guaranteed Capacity of Uplink URLLC
Yaoyuan Zhang;Kwang-Cheng Chen;Gan Zheng;Xiaoli Chu;Jianpeng Xu
Combining virtual-cell and proactive open-loop communication has been shown to be effective in achieving ultra real-time reliability and ultra-low latency in mobile networks. It is essential to understand the guaranteed capacity of ultra-reliable and low-latency communication (URLLC) multiple access toward the holistic network design. To maximize the capacity of a multiple-access uplink URLLC, we ...Show More
Constrained Risk-Sensitive Deep Reinforcement Learning for eMBB-URLLC Joint Scheduling
Wenheng Zhang;Mahsa Derakhshani;Gan Zheng;Sangarapillai Lambotharan
In this work, we employ a constrained risk-sensitive deep reinforcement learning (CRS-DRL) approach for joint scheduling in a dynamic multiplexing scenario involving enhanced mobile broadband (eMBB) and ultra-reliable low-latency communications (URLLC). Our scheduling policy minimizes the adverse impact of URLLC puncturing on eMBB users while satisfying URLLC requirements. Conventional DRL-based a...Show More
Computation EE Fairness for a UAV-Enabled Wireless Powered MEC Network With Hybrid Passive and Active Transmissions
IEEE Internet of Things Journal
Cited by: Papers (5)
Energy-efficient computation is an inevitable trend for unmanned aerial vehicles (UAVs)-enabled wireless powered mobile edge computing (MEC), while it has not been investigated when the hybrid passive and active transmissions (ATs) are considered for Internet of Things (IoT) nodes’ task offloading. In this article, we study the computation energy efficiency (EE) fairness among IoT nodes in a UAV-e...Show More
A Lattice-Reduction Aided Vector Perturbation Precoder Relying on Quantum Annealing
Quantum annealing (QA) is proposed for vector perturbation precoding (VPP) in multiple input multiple output (MIMO) communications systems. The mathematical framework of VPP is presented, outlining the problem formulation and the benefits of lattice reduction algorithms. Lattice reduction aided quantum vector perturbation (LRAQVP) is designed by harnessing physical quantum hardware, and the optimi...Show More
A Low-Cost Multi-Band Waveform Security Framework in Resource-Constrained Communications
Traditional physical layer secure beamforming is achieved via precoding before signal transmission using channel state information (CSI). However, imperfect CSI will compromise the performance with imperfect beamforming and potential information leakage. In addition, multiple RF chains and antennas are needed to support the narrow beam generation, which complicates hardware implementation and is n...Show More
Performance Analysis for Control- and User-Plane Separation Based RAN With Non-Uniformly Distributed Users
In the control- and user-plane separation (CUPS) based radio access networks (RANs), control-signaling and data are transmitted by the control base stations (CBSs) and data base stations (DBSs), respectively. However, existing studies usually model the C/U-planes as two separate homogeneous networks, neglecting the dependence among the two planes and users. To address this problem, we analyze the ...Show More
Cooperative End-Edge-Cloud Computing and Resource Allocation for Digital Twin Enabled 6G Industrial IoT
Yuao Wang;Jingjing Fang;Yao Cheng;Hao She;Yongan Guo;Gan Zheng
End-edge-cloud (EEC) collaborative computing is regarded as one of the most promising technologies for the Industrial Internet of Things (IIoT). It offers effective solutions for managing computationally intensive and delay-sensitive tasks efficiently. Indeed, achieving intelligent manufacturing in the context of 6G networks requires the development of efficient resource scheduling schemes. Howeve...Show More
AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm for emerging applications owing to its huge potential in providing low-latency and ultra-reliable computing services. However, achieving such benefits is very challenging due to the heterogeneous computing power of terminal devices and the complex environment faced by the CETCN. In particular, the high-dimensio...Show More
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