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  • Publications
    • Robust DNN Partitioning and Resource Allocation Under Uncertain Inference Time
    • CoSTr: a Fully Sparse Transformer with Mutual Information for Pragmatic Collaborative Perception
    • DH-VLM: Dual-Horizon Cooperative Latent Reasoning for Autonomous Driving
    • DPNet: Doppler LiDAR Motion Planning for Highly-Dynamic Environments
    • DRIVE: Dynamic Residual Information Exchange for Communication-Efficient Collaborative Perception in Autonomous Driving
    • Learning to Jointly Optimize Antenna Positioning and Beamforming for Movable Antenna-Aided Systems
    • SparseCoM: Fully Sparse Collaborative Perception via Mixture of BEV Experts
    • Task Profiling and Draft Model Selection for Accelerating Distributed Speculative Decoding
    • UniMM-V2X: MoE-Enhanced Multi-Level Fusion for End-to-End Cooperative Autonomous Driving
    • Joint Memory Frequency and Computing Frequency Scaling for Energy-Efficient DNN Inference
    • Agile Coverage for Low-Altitude Aerial Intelligent Networks: A Blended Hyper-Cellular Solution
    • Mixture of Experts-Augmented Deep Unfolding for Activity Detection in IRS-Aided Systems
    • Robust Task Offloading and Resource Allocation Under Imperfect Computing Capacity Information in Edge Intelligence Systems
    • DVFS-aware DNN Inference on GPUs: Latency Modeling and Performance Analysis
    • Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning
    • AEPHORA: AI/ML-Based Energy-Efficient Proactive Handover and Resource Allocation
    • Distributed Activity Detection for Cell-Free Hybrid Near-Far Field Communications
    • FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning
    • FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning
    • Joint Optimization of Offloading, Batching and DVFS for Multiuser Co-Inference
    • Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks
    • Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification
    • Nonparametric Teaching for Graph Property Learners
    • On the Impact of Mobility in Asynchronous Federated Learning over Device-to-Device Networks
    • SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services
    • SNAKE: Sequential Continual Learning for Knowledge Extension over Communication-Constrained Networks
    • WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving
    • Learning-Assisted User Scheduling and Beamforming for mmWave Vehicular Networks
    • , A2.92-Gb/s/Wand0.43-Gb/s/MGFlexibleand Scalable CGRA-Based Baseband Processor for Massive MIMO Detection
    • , AI-Assisted Low Information Latency Wireless Networking
    • , Algorithmandarchitectureofalow-complexity and high-parallelism preprocessing-based K-best detector for large-scale MIMO sys- tems
    • , Basestationsleepingandresourceallocationinrenewable energypoweredcellularnetworks
    • , Discretespatialcompressionbeyondbeamspacechannelsparsitybased onbranch-and-bound
    • , Dynamic Schedulingfor Over-the-Air Federated Edge Learn- ing With Energy Constraints
    • , Energy-and Area-Efficient Recursive- Conjugate-Gradient-BasedMMSEDetectorfor MassiveMIMOSystems
    • , Energy-awarenetworkplanningforwirelesscellular systemwithinter-cellcooperation
    • , Energy-awaretrafficoffloadingforgreen heterogeneousnetworks
    • , Exploitingmovingintelligence: Delay-optimizedcomputation offloadinginvehicularfognetworks
    • , Howmanysmallcellscanbeturnedoffviaverticaloffloading underaseparationarchitecture?
    • , Joint Frame Structureand Beamwidth Optimizationfor Integrated Localizationand Communication
    • , Joint Optimizationof Schedulingand Power Controlin Wireless Networks: Multi-Dimensional Modelingand Decomposition
    • , Learning-Based Remote Channel Inference: Feasibility Analysisand Case Study
    • , Near-OptimalMIMO-SCMAUplink Detection with Low-Complexity Expectation Propagation
    • , Pilot-datasuperpositionforbeam-basedFDDmassive MIMOdownlinks
    • , Recursivewaterfillingforwirelesslinkswithenergyhar-vesting transmitters
    • “面向 6G 网络的高可靠低延时通信计算与控制”
    • Adaptive learning-based task of- floading for vehicular edge computing systems
    • Adaptive Privacy-Preserving Coded Computing With Hierarchical Task Partitioning
    • Adynamicprogrammingapproachforbasestationsleepingincellular networks
    • Age-Optimal Schedul- ingfor Heterogeneous Trafficwith Timely Throughput Constraints
    • Age-Optimal Scheduling for Heterogeneous Traffic with Timely-Throughput Constraint
    • Age-Optimal Schedulingfor Heterogeneous Traffic with Timely-Throughput Constraint
    • Analysisandoptimizationofwirelesstransmissionsoverfastfading channelswithslowtime-varyingenergyarrival
    • Anovelprecodingschemefordynamicbasestationcooperationwith overlappedclusters
    • Antenna-beam spatial transformation in C-RAN with large antenna arrays
    • AoI-Delay Tradeoffin Mobile Edge Caching With Freshness-Aware Content Refreshing
    • APredictive Frame Transmission Schemefor Cloud Gaming in Mobile Edge Cloudlet Systems
    • AUnified Sampling and Scheduling Approach for Status Updatein Multiaccess Wireless Networks
    • AUoI-Optimal Policyfor Timely Status Updateswith Resource Constraint
    • Base-stationsleepingcontrolandpowermatchingfor energy-delaytradeoffswithburstytraffic
    • C-MASS: Combinatorial Mobility-Aware Sensor Schedulingfor Collaborative Perceptionwith Second-Order Topology Approximation
    • Channel Fingerprint Based Beam Tracking for Millimeter Wave Communications
    • Characterizing energy–delay tradeoff in hyper-cellular networkswithbasestationsleepingcontrol
    • CHORUS:frameworkforscalablecollaborationinhetero- geneousnetworkswithcognitivesynergetic
    • Closed-Form Analysisof Non-Linear Age-of-Information in Status Updates with an Energy Harvesting Transmitter
    • Closed-Form Whittle’s Index-Enabled Random Accessfor Timely Status Update
    • Coded Computation across Shared Heterogeneous Workers with Communication Delay
    • Coded Computation Across Shared Heterogeneous Workswith Communication Delay
    • Coded Computationover Heterogeneous Workerswith Random Task Arrivals
    • Collaborative mobile clouds: an energy efficient paradigmforcontentsharing
    • Collaborative Perception Oriented Wireless Com- municationsfor Intelligent Unmanned Systems
    • Computationpeeroffloadingforenergy-constrainedmobileedgecom- putinginsmall-cellnetworks
    • CONCERT: a cloud-based architecture for next- generationcellularsystems
    • Coverage Analyseson Directional Transmissions Ultra-Dense Networkswith Imperfect Beam Alignment
    • CPU-Utilization-Aware Scheduling for In-Vehicle Distributed Computing
    • Data-drivenusercomplaintpredictionfor mobileaccessnetworks
    • Deep learning based optimization in wireless network
    • Deep Nap: Data-drivenbasestationsleepingopera- tionsthroughdeepreinforcementlearning
    • Delay Optimization of Coded Computing With Hierarchical Task Partitioning
    • Delay-constrainedenergy-optimalbasestationsleeping control
    • Distributed Policy Learning Based Random Access for Diversified QoSRequirements
    • Distributed Task Replication for Vehicular Edge Computing: Perfor- mance Analysisand Learning-based Algorithm
    • Distributedadaptationofquantizedfeedbackfordownlinknetwork MIMOsystems
    • Dynamic Caching: ACollaborative Designof Storageand Backhaul
    • Dynamic channel acquisition in MU-MIMO
    • Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines
    • E2M2: Energyefficientmobilitymanagementindensesmall cellswithmobileedgecomputing
    • Edge Learningwith Timeliness Constraints: Chal- lengesand Solutions
    • EMM:Energy-awaremobilitymanagementformobileedgecomputing in ultra dense networks
    • Energy efficient mobile edge computing in dense cellular networks
    • Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds
    • Energy-awarenetworkplan- ningforwirelesscellularsystemswithinter-cellcooperation
    • Energy-Efficient Collaborative Percep- tion: ABlock-SkippingDNNApproachwith Dynamic Frequency Scalingand Environment Aware- ness
    • Energy-optimal computation offloading withdelayconstraintsinmobileedgecomputingsystemswithheterogeneousclouds
    • Energy-optimalanddelay-boundedcompu- tationoffloadinginmobileedgecomputingwithheterogeneousclouds
    • Energy-sustainabletrafficsteeringfor 5Gmobilenetworks
    • Energyefficientnetworkplanninganddynamiccontrolforhyper- cellularnetwork
    • Error Analysisfor Status Updatefrom Sensorswith Tem- porallyand Spatially Correlated Observations
    • Exploitingwirelesschannel stateinformationstructuresbeyondlinearcorrelations: Adeeplearningapproach
    • Flex Gen: Efficient On-Demand GenerativeAIService With Flexible Diffusion Modelin Mobile Edge Networks
    • Flexible Functional Split and Power Control for Energy Harvesting Cloud Radio Access Networks
    • Flexiblefunctionalsplit in C-RANwithrenewableenergypoweredremote radiounits
    • Green Delivery: Proactive content caching and pushwithenergy-harvesting-basedsmallcells
    • Grouping-based Schedulingunder Age of Correlated Information Constraints
    • Image Analysis Oriented Integrated Sensingand Communication via Intelligent Reflecting Surface
    • Importance-Aware Data Pre-Processingand Device Schedulingfor Multi- Channel Edge Learning
    • Improving Device-Edge Cooperative In- ferenceof Deep Learningvia2-Step Pruning
    • Improving the energy efficiency of two-tier heterogeneous cellular networksthroughpartialspectrumreuse
    • Infrastructure-Assisted Collaborative Perceptionin Automated Valet Parking: ASafety Perspective
    • Interference-awarerelayselectionschemefortwo-hoprelaynetworks withmultiplesource-destinationpairs
    • Intermittent CSI update for massive MIMO systems with heterogeneoususermobility
    • Joint Device Scheduling and Resource Allocation for Latency Con- strained Wireless Federated Learning
    • Joint Task Offloading and Resource Allocation for Vehicular Edge Computingwith Result Feedback Delay
    • Jointuserschedulingandbeamselectionoptimizationforbeam- basedmassiveMIMOdownlinks
    • Latency Guaranteed Edge Inferencevia Dynamic Compression Ratio Se- lection
    • Learning-basedtaskoffloadingforvehicular cloudcomputingsystems
    • MASS:Mobility-Aware Sensor Schedulingof Coopera- tive Perceptionfor Connected Automated Driving
    • Mobility-awarecoded-cachingschemeforsmallcellnetwork
    • Multi-AgentDRL-Based Two-Timescale Re- source Allocationfor Network Slicing in V2XCommunications
    • Multiuser Co-inference with Batch Processing Capable Edge Server
    • Near-Sensor LiDARand Visual Feature Extractionand Communicationfor Low-Latency Roadside Cooperative Perception
    • NetworkedMIMOwithfractionaljointtransmissioninenergyhar- vestingsystems
    • On precoding for overlapped clustering in a measured urbanmacrocellularenvironment
    • On the Coverage and Capacity of Ultra-Dense Networks with Directional Transmissions
    • Only Those Requested Count: Proactive Scheduling Policesfor Minimizing Effective Age-of-Information
    • Onthe time scales of energyarrivaland channel fading in energyhar- vestingcommunications
    • Onthefronthaulstatisticalmultiplexinggain
    • Optimal antenna cluster size in cell-free distributed large-scale an- tennasystemswithimperfectCSIandinter-clusterinterference
    • Optimalcombinationofbasestationdensitiesforenergy-efficienttwo- tierheterogeneouscellularnetworks
    • OptimaldiscretespatialcompressionforbeamspacemassiveMIMO signals
    • Optimalgreenenergyutilization in MIMOsystems withhybridenergysupplies
    • Optimalpowerallocationforenergyharvestingandpowergridcoex- istingwirelesscommunicationsystems
    • Optimalsleepingmechanismformultipleservers with MMPP-based bursty traffic arrival
    • Optimizing Information Freshnessin Broadcast Networkwith Unreliable Linksand Random Arrivals: An Approximate Index Policy
    • Optimizing Task-Specific Timeliness With Edge- Assisted Schedulingfor Status Update
    • Outageminimizationforafadingwirelesslinkwithenergy harvestingtransmitterandreceiver
    • Policy optimization for content push via energyharvesting smallcellsinheterogeneousnetworks
    • Powercontrolpoliciesforawirelesslinkwithenergyhar- vestingtransmitterandreceiver
    • QMNet: Importance-Aware Message Exchange for Decentralized Multi- Agent Reinforcement Learning
    • Radio Resource Allocation for Bidirectional Offloading in Space- Air-Ground Integrated Vehicular Network
    • Radio Resource Allocation for Collaborative OFDMARelay Networkswith Imperfect Channel State Information
    • Redesigning fronthaul for next-generation networks: beyond basebandsamplesandpoint-to-pointlinks
    • Resource Allocation for Channel Estimation in Reconfigurable Intelligent Surface-Aided Multi-Cell Networks
    • Robustenergyschedulinginvehicle-to-grid networks
    • RSU-Aided Energy-Efficient Collaborative Perceptionfor Connected Autonomous Vehicles
    • S.Zhou,D.Lee,B.Leng,X.Zhou,H.Zhang,andZ.Niu“, Onthespatialdistributionofbasestations anditsrelationt
    • Security Analysisof Mobile Device- to-Device Network Applications
    • SENATE: A Permissionless Byzantine consensusprotocolinwirelessnetworksforreal-timeinternet-of-thingsapplications
    • Sensingand Communication Co-Designfor Status Update in Multiaccess Wireless Networks
    • SFC-Based Service Provisioningfor Recon-fig- urable Space-Air-Ground Integrated Networks
    • Simultaneousinformationandenergyflow for IoTrelaysystemswithcrowdharvesting
    • SMART:Situationally-Aware Multi- Agent Reinforcement Learning-Based Transmissions
    • Software-definedhyper-cellulararchitectureforgreenand elasticwirelessaccess
    • Spatialmodelingofthetrafficdensity incellularnetworks
    • Statisticalmultiplexinggainanalysisofheterogeneousvir- tual base station pools in cloud radio access networks
    • Task replication for deadline-constrained vehicular cloud computing: optimal policy, performance analysis and implications on road traffic
    • Tasks scheduling and resource allocation in heterogeneous cloudfordelay-boundedmobileedgecomputing
    • Timely and Sustainable: Utilis- ing Correlationin Status Updatesof Battery-Poweredand Energy-Harvesting Sensors Using Deep Rein- forcement Learning
    • Timely Status Updatein Wire-less Up- links: Analytical Solutionswith Asymptotic Optimality
    • Towardsservice-oriented5G:Virtualizing thenetworksforeverything-as-a-Service
    • Traffic-awarebasestationsleepingcontrolandpowermatch-ingfor energy-delaytradeoffsingreencellularnetworks
    • Unlimited Vector Processing for Wireless Baseband Based on RISC-VExtension
    • Urgencyof Informationfor Context-Aware Timely Status Updates in Remote Control Systems
    • Venus: A RISC-VDomain Specific Architecture Towards IntegratedAIand Wireless Baseband Processingfor 6GEdge Intelligence
    • Water-filling: Ageometricapproachanditsapplicationtosolve generalizedradioresourceallocationproblems
    • Xiaoyang Li,Yi Gong,Kaibin Huangand Zhisheng Niu,”Over-the-Air Integrated Sensing,Commu- nication, and Comp
    • 定位与通信受限的网联协同感知算法
    • 能量信息深度融合的移动网络架构及其技术挑战
    • 车辆间计算任务卸载算法与系统级仿真验证
    • 面向’双碳’战略的绿色通信与网络：挑战与对策
    • 面向6G网络的信息时效性度量及研究进展
    • Data-heterogeneous hierarchical federated learning with mobility
    • Hierarchical Federated Learning: Architecture, Challenges, and Its Implementation in Vehicular Networks
    • , MOB-FL:Mobility-Aware Federated Learningfor Intelligent Connected Vehicles
    • MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks
    • MoRFF:Multi-View Object Detection for Connected Autonomous Drivingunder Communicationand Localization Limitations
    • NI-MAC:MACProtocol Designfor Neural Interfaces
    • Random Access Protocol Designand Analysisfor Neural Inter- faces Under Non-Saturated Regime
    • SMDP-Based Dynamic Batching for Efficient Inference on GPU-Based Platforms
    • Time-Triggered Reservation for Cooperative Random Access in Wireless LANs
    • V2V-Assisted Timely Hierarchical Federated Learning
    • , DOLPHINS:Datasetforcollaborativeper-ception enabled harmonious and interconnected self-driving
    • Importance-Aware Message Exchangeand Predictionfor Multi-Agent Re- inforcement Learning
    • Online V2X Scheduling for Raw-Level Cooperative Perception
    • Time-Correlated Sparsificationfor Efficient Over-the-Air Model Aggregationin Wireless Federated Learning
    • Device Scheduling and Resource Allocation for Federated Learningunder Delayand Energy Constraints
    • On the Capacity of Privacy-Preserving and Straggler-Robust Distributed Coded Computing
    • The Impact of Interference Reflection on Reconfigurable Intelligent Surface-Aided Directional Transmissions
    • , Device Schedulingwith Fast Convergencefor Wireless Federated Learn- ing
    • Achieving Cooperative Diversityin Over-the-Air Computationvia Relay Selection
    • Adaptive Transmissionfor Edge Learningvia Training Loss Estimation
    • ADeep Reinforcement Learning Frame- workto Combat Dynamic Blockageinmm WaveV2XNetworks
    • Beyond Age: Urgencyof Informationfor Timeliness Guaranteein Status Update Systems
    • Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning
    • Energy-Aware Analog Aggregation for Federated Learning with Redundant Data
    • Space-air-groundintegratedvehicularnetworkforconnected and automated vehicles: Challenges and solutions
    • Timely Status Update Basedon Urgencyof Informationwith Statistical Context
    • , Scalable Multi-Agent Learningfor Situationally- Aware Multiple-Accessand Grant-Free Transmissions
    • Age of Information and Delay Tradeoff with Freshness-Aware Mobile Edge Cache Update
    • Bi Directionalmissionoffloadingforagilespace- air-groundintegratednetworks
    • Context-Aware Information Lapse for Timely Status Updates in Remote Control Systems
    • Heterogeneous Coded Computationacross Heterogeneous Workers
    • Service Function Chain Planningwith Resource Balancingin Space-Air-Ground Integrated Networks
    • Statusfroma Random Field: How Densely Should One Update?
    • , A1.58Gbps/W0.40Gbps/mm^2ASICimple-mentation of MMSE detection for 128X8 64-QAM massive MIMO in 65 nm CMOS
    • , Joint Optimizationof Cache Allocationand Content Placementin Urban Vehicular Networks
    • ATwo-Step Learningand Interpolation Methodfor Location-Based Channel Database Construction
    • Can Decentralized Status Update Achieve Uni- versally Near-Optimal Age-of-Informationin Wireless Multiaccess Channels?
    • Decentralized status update for age- of-informationoptimizationinwirelessmultiaccesschannels
    • Energy-efficientUAVdeploymentwithflexiblefunctionalsplitselection
    • Improved Scaling Lawfor Status Update Timelinessin Massive IoT by Elastic Spatial Multiplexing
    • Inferring Remote Channel State Infor- mation: Cramer-Rao Lower Boundand Deep Learning Implementation
    • Learning Based Security for V ANET with Blockchain
    • Mode Selection in UAV-aided Vehicular Network: an Evolutionary Game Approach
    • Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Banditbased Approach
    • Time-sequence channel inference for beam alignment in vehicularnetworks
    • , HowoftenshouldCSIbeupdatedformassiveMIMOsystems withmassiveconnectivity?
    • Ablockcoordinatedupdatemethodforbeam-basedmassiveMIMO downlinkschedulingbasedonstatisticalCSI
    • Computationpeeroffloadinginmobileedgecomputingwithenergy budgets
    • Elasticlocalbreakoutstrategyandimplementationfor delay-sensitivepacketswithlocalsignificance
    • Joint Resource Provisioningfor Internet Datacenterswith Diverse and Dynamic Traffic
    • L.Wang and S.Zhou,“Fractionaldynamiccaching: minimizingthefiledeliverytimeunderlimited backhaul,“IEEES
    • Proactive content push in heterogeneous networks with multiple energyharvestingsmallcells
    • S.Chen,Z.Jiang,J.Liu,R.Vannithamby,S.Zhou,Z.Niu,andY.Wu“Remotechannelinferencefor beamforminginultra
    • , Scalablenon-orthogonalpilotdesignformassiveMIMOsystemswith massiveconnectivity
    • Energy-Efficient Resource Allocation and User Schedulingfor Collaborative Mobile Cloudswith Hybrid Receivers
    • Impact of mobile instant messaging applications onsignalingload and UEenergyconsumption
    • Jointoptimizationofcontentcachingandpushinrenewable energypoweredsmallcells
    • On the online minimization of completion time in an energy har- vestingsystem
    • Pricing policy and computational resource provi- sioningfor Delay-awaremobileedgecomputing
    • A Cooperative scheduling scheme of local cloud andinternetcloudfordelay-awaremobilecloudcomputing
    • Energy-efficienttaskoffloadingformultiusermobilecloud computing
    • Graph-basedframeworkforflexiblebasebandfunction splittingandplacement in C-RAN
    • On dimensionality loss in FDD Massive MIMO Systems
    • Optimal Power Allocationon Discrete Energy Harvesting Model
    • Proactive push with energy harvesting based small cells in heterogeneousnetworks
    • RF chain and user selection for multiuser MIMO systems underrandomdataarrival
    • Seeingtheunobservable: channellearningforwirelesscom- municationnetworks
    • Spatialtrafficshapinginheterogeneous cellular networks with energy harvesting
    • Userschedulinginpilot-assistedTDDmultiuserMIMOsystems
    • X.Wang,J.Gong,C.Hu,S.Zhou,andZ.Niu“, Optimalpowerallocationondiscreteenergyharvesting model,“EURASIP
    • , Onthestatisticalmultiplexinggainofvirtualbasestationpools
    • , Trafficawareoffloading for BSsleepinginheterogeneousnet-works
    • A practical channel allocation scheme based on the weighted conflict graph in heterogeneous networks
    • An Energy-EfficientOFDMScheme Basedon Time-Frequency Joint Channel Estimation
    • CONCERT:ACloud-Based Architec- turefor Next-Generation Cellular Systems Mobile Converged Networks
    • Downlinkbasestationcooperationwithenergyharvesting
    • Energy Efficient Sleep Schedulingfor VoIP overWLANs
    • Energy-efficiencyandspectrum-efficiencytradeoffincoor- dinatedsmall-cellnetworks
    • Energy-efficientantennaselectionandpowerallocationfor large-scale multiple antenna systems with hybrid energy supply
    • Traffic-aware data and signaling resource managementforgreencellularnetworks
    • Traffic-aware network planning and green operation with BSsleepingandcellzooming
    • , Spatialmodelingofscalablespatially-correlatedlog-normaldis-tributed traffic inhomogeneity and energy-efficient network planning
    • Energy Saving in Cellular Networks by Dynamic RS-BS Association andBSSwitching
    • Jointoptimizationoffrequencyallocationanduserassociationwith differentiatedserviceinhyper-cellularnetworks
    • Optimal Combinationof Base Station Densitiesfor Cost- Efficient Two-tier Heterogeneous Cellular Networks
    • Optimalwake-upmechanismforsinglebasestationwith sleepmode
    • Sleep control for base station powered by heterogenous energy sources
    • Capacity bounds of downlink network MIMO systems with inter- clusterinterference
    • Energy efficiency and resource optimized hyper- cellular mobile communication system architecture and its technical challenges
    • Energymanagementandresourceoptimizationforwireless communications under dynamic energy harvesting
    • Improvingnetworkthroughputin 60GHz WLANs via multi-AP diversity
    • Optimal base station density for energy-efficient heterogeneous net- works
    • Minimizingtransmitpowerinavirtual-celldown- linkwithdistributedantennas
    • Multi-hoprelaynetworkforbasestationenergysavinganditsperfor- manceevaluation
    • On optimal relay placement and sleep control to improve en- ergyefficiencyincellularnetworks
    • Queuing on energy-efficient wireless transmissions with adaptive modulationandcoding
    • schedulinganddynamicclusteringindownlink cellularnetworks
    • TANGO:Traffic-Aware Network Planningand Green Operation
    • Towards Dynamic Energy- Efficient Operation of Cellular Network Infrastructure
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Importance-Aware Data Pre-Processingand Device Schedulingfor Multi- Channel Edge Learning

Jan 1, 2024·
X. HuangandS. Zhou
· 0 min read
Last updated on Jan 1, 2024
← Image Analysis Oriented Integrated Sensingand Communication via Intelligent Reflecting Surface Jan 1, 2024
Improving Device-Edge Cooperative In- ferenceof Deep Learningvia2-Step Pruning Jan 1, 2024 →

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