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Research Topics in Wireless 5G and Beyond

The University of Chicago_102622A
[The University of Chicago]
 
 

1. Wireless Communications and Technologies, Networking, Services and Application

-- Wireless Communications

  • Access or multiplexing methods: FDMA, TDMA, CDMA, OFDMA, SDMA
  • Radio access technologies (4G/5G/B5G/6G) and heterogeneous networks
  • Open RAN (O-RAN)
  • Extremely low frequency (ELF) radio waves
  • Robust network design
  • Next-generation mobile networks
  • Digital signal processing
  • Statistical signal processing
  • Genomic signal processing
  • Applied computational electromagnetics
  • Multi-agent networks
  • Wireless network modeling and design
  • Protocols for next generation wireless systems
  • Real-Time and embedded systems
  • Networked & embedded systems
  • Wireless distributed and mobile embedded systems
  • Mobile and wireless computing, and pervasive computing
  • Mobile sensing and mobile computing
  • Vehicular ad hoc Networks (VANETs) and mobile ad hoc networks (MANETs)
  • Ubiquitous networking
  • Multimedia communications
  • Multimedia in wireless networks
  • Wireless & mobile networking
  • Body sensor networks
  • Wireless mesh and opportunistic networks
  • Wireless ad-hoc and sensor networks 
  • Wireless sensor systems
  • Wireless sensor and actuator networks
  • Wireless smart sensor array system
  • Wireless broadcast, multicast, and streaming
  • Wireless routing
  • Content distribution in wireless home environment
  • Wireless technologies for smart cities, smart communities and smart homes
  • Biomedical wireless technologies, networks, and sensing systems
  • Wearable computing systems: devices, applications and analytics
  • Radio access network virtualization

-- Smart Antennas and Intelligent Sensors Based Systems: Enabling Technologies and Applications

  • Analysis and design of smart antennas for wireless communication
  • Smart antennas-based adaptive beamforming and direction of arrival estimation
  • Adaptive null steering using smart antennas
  • Detection and correction of faulty antennas in smart arrays
  • Multiple-input and multiple-output (MIMO) systems for mobile communication
  • Practical applications of cognitive radio and intelligent heterogeneous sensor networks
  • Smart antenna approaches in underwater sensors
  • Smart wearable antennas and intelligent sensors
  • Intelligent sensors for smart homes and smart cities
  • Radio Frequency Identification RFID-based object localisation and tracking
  • Smart antennas and sensors for active and passive targets localisations  

-- Network Technologies, Services and Application

  • Nanonetworking
  • Network convergence
  • Molecular communication and nanonetworks
  • Intelligent computer networks and systems
  • Stochastic network control
  • Stochastic processes, queueing and scheduling theory, applied probability, control and learning theory
  • Cognitive radio networks and technology
  • Device-to-Device communications
  • Heterogeneous networks
  • Virtual networks
  • Positioning and sensing
  • Ad Hoc, sensor and mesh networking
  • Learning-based Networked Systems
  • Integrated sensing systems
  • Next-generation networking and Internet
  • Network protocol and congestion control
  • QoS, reliability & performance modeling
  • Performance modeling, analysis, and design of networked systems
  • Adaptive media streaming and processing
  • Multimedia QoS and traffic management
  • Mobility, location and handoff management
  • Capacity, throughput, outage and coverage
  • Context and location-aware wireless services
  • RFID technology and application
  • RFID and wireless sensor networks
  • Cognitive radio and sensor-based applications
  • Content distribution in wireless home environment
  • Vehicular networks
  • 5G municipal infrastructure
  • Vehicle-to-vehicle (V2V) communications
  • Vehicle-to-infrastructure (V2I) communications
  • Vehicle-to-X (V2X) communications (e.g., with bicyclists, pedestrians, etc.)
  • In-vehicle communications
  • Radio technologies for V2X (radio resource management, propagation models, antennas, etc.)
  • Link- and Network-layer protocols for vehicular networks (MAC, routing, mobility management, geonetworking, etc.)
  • Emerging wireless/mobile applications
  • Machine to Machine (M2M) technology and communications
  • Applications of vehicular networks
  • Communication related to electric vehicles
  • SIP based services, multimedia and middleware
  • Innovative user interfaces for multimedia services
  • Regulations, standards and spectrum management
  • Communications software and services
  • Interworking heterogeneous wireless/wireline networks
  • System-on-Chip (SoC) and Network-on-Chip (NoC)
  • Big data analytics and machine learning for network managements 
  • Big data analytics and machine learning for QoS Improvements in communications and networking 
  • Big data analytics and machine learning for self-organized networks 
  • Big data analytics and machine learning for adaptive and accurate resource allocation
  • Intelligent touring
  • Smart grid networking and communications
  • Smart homes and smart cities 
  • Networking solutions for social applications, multimedia communications and games 
  • Communications and applications for connected and autonomous vehicles on land, water, and sky
  • AI/ML for communications and networking
  • Network softwarization and virtualization
  • Emerging topics in consumer communications and networking


2. Radar Systems

  • Radar signal processing
  • Electronically scanned radar systems
  • Radar imaging 
  • Radar sensors 
  • Adaptive radar systems
  • Anti stealth radar systems
  • Radar system concepts and signal processing
  • Interference between automotive radars
  • Joint realization of radar sensing and communication based on OFDM
  • Radar sensors for high-accuracy distance measurements
  • Radar surveillance (e.g. MTI)
  • Radar direction-finding (e.g. monopulse)
  • Radar localization & mapping
  • Radar and radiometric imaging (e.g. scanning, SAR, ISAR, InSAR)
  • Radar tracking 
  • Sensor fusion (involving radar)
  • Radar-based motion tracking (e.g. human / animal / robot motions)
  • Airborne/space-based radar
  • Maritime/coastal radar
  • Air/space surveillance
  • Air traffic control radar
  • Weather radar
  • Secondary radar systems and applications (e.g. transponders, RFID systems, wireless location systems)
  • Automotive/vehicle radar, ADAS, sense-and-avoid, radar for unmanned/autonomous platforms
  • Commercial/industrial radar applications (e.g. body scanning, building technology, hand gesture recognition)
  • Medical/biological radar applications
  • Wearable radar
  • Radar systems for space exploration
  • Radar for planetary exploration
  • Subsurface radar imaging
  • Radar remote sensing (e.g. radiometry, scatterometry, imaging)
  • Multifunction radar (e.g. SAR/MTI)
  • Quantum radar
  • Advanced radar architectures
  • Radar-specific subsystems/components (e.g. radar system-on-a-chip, RFIC and circuit design)
  • Radar calibration (array, antenna phase center, cross coupling, transfer function, offset, etc.)
  • Reconfigurable antennas, metamaterials (specific to radar)
  • Fully digital arrays for radar
  • Radar polarimetry
  • Low SWaP-C radar
  • Software-defined radar
  • Radar spectrum sharing (e.g. cohabitation or dual-function radar/communications; emphasis on radar aspects)
  • mm-wave/THz radar
  • Ultrawideband radar
  • Passive radar & illuminators of opportunity
  • Bistatic radar
  • Multistatic, networked & distributed radar
  • Radar detection & estimation (e.g. interference/clutter covariance, CFAR)
  • Radar signal & array processing (e.g. STAP, adaptive beamforming, compressed sensing)
  • Radar waveform diversity & MIMO (e.g. noise radar, frequency-diverse arrays)
  • Machine learning for radar
  • Radar resource management 
  • Automated/cognitive sensing
  • Bio-inspired radar capabilities
  • Nonlinear modelling, effects, and linearization for radar
  • Radar-based material characterization (e.g. ellipsometry, non-destructive evaluation)
  • Signatures, characterization, identification (e.g. micro-Doppler)
  • Complex propagation/scattering environments (e.g. over-the-horizon, ground/foliage/ice penetration, thru-wall)
  • Radar environment simulation / radar test systems
  • Clutter modeling (e.g. sea scatter)
  • Radar in interference-rich environments
  • Radar EW

 

3. 5G Mobile Wireless

  • NR-based 5G Base Stations (gNBs) 
  • 5G Core (5GC) 
  • Evolved packet core (EPC) 
  • 5G core service-based architecture (SBA) 
  • Network functions (NF) 
  • Network functions virtualization (NFV) 
  • Software Defined Networking (SDN) 
  • OpenStack 
  • Orchestration
  • 5G waveforms, frame structure, and numerology
  • Innovation and field trials of 5G 
  • PHY/MAC technologies for 5G 
  • mmWave technologies for 5G 
  • MIMO technologies (massive MIMO, full dimension MIMO , etc.) 
  • Private 5G networks
  • Network slicing in 5G systems
  • Interference management in 5G 
  • Location-aware communications for 5G networks 
  • Multiple antenna processing for 5G
  • Coordinated distributed antenna processing
  • Signal processing for contention resolution algorithms
  • Full duplex algorithms
  • Device-to-device signal processing
  • 3D beamforming
  • Sparse signal processing
  • Massive MIMO
  • Multi-objective optimization for signal processing in 5G 
  • Game theory for self-organized and cognitive radio 5G networks 
  • Low latency solutions for machine-type communications 
  • Conflict resolution in decentralized networks 
  • Information theoretic principles for 5G 
  • Game theoretic approaches for signal processing and resource allocation 
  • Evolutionary optimization in 5G
  • Full-dimension MIMO
  • mm-wave design, spectrum sharing
  • Dynamic spectrum sharing (DSS)
  • Energy harvesting for 5G
  • Decentralized contention resolution protocols for 5G futures wireless networks 
  • Signal processing for cloud radio access network 
  • Software-defined networking processing 
  • Ultra-dense networks 
  • Full duplex algorithms
  • Non-orthogonal multiple access
  • 5G application and services
  • 5G & IoT
  • 5G security and privacy
  • Error correction and channel coding for 5G
  • 5G Trials, experimental results and deployment scenarios
  • 5G hardware and test/Measurements
  • PHY-layer for low latency
  • Automotive, intelligent transport 
  • 5G for the Industrial Internet of Things (IIoT) 
  • E-Health and mobile health over 5G Networks 
  • Disrupting media and entertainment in the 5G era 
  • Open API, unbundled, open source, and testbeds 
  • Policy and regulation in the 5G era 
  • Standards and deployment 
  • 5G optics 
  • 5G design, test, and measurement challenges 
  • Imagery satellites
  • 5G satellite integration
  • Satellite-to-cellular connectivity service
  • 5G and onwards to 6G


4. B5G and 6G Mobile Wireless

-- Beyond Fifth-generation (B5G) Networks

  • Architectures, frameworks, and models for edge intelligence empowered B5G
  • AI empowered edge-cloud architecture for B5G
  • New concept, theory, and protocols for edge intelligence empowered B5G
  • Edge computing, communication, caching, and control (edge 4C) in B5G
  • Edge intelligence for computation offloading in B5G
  • Edge intelligence for caching and storage in B5G
  • Deep reinforcement learning approaches for edge intelligent B5G
  • Networking between edge nodes for resource scheduling and orchestration
  • Resource optimization for edge intelligence empowered B5G
  • Machine learning approaches for resource synergy in B5G
  • Big data and learning fusion in edge intelligent B5G
  • Network traffic prediction and control in edge intelligent B5G
  • Service discovery and mobility as a service for edge intelligent B5G
  • Energy efficiency and greenness-performance tradeoff for edge intelligent B5G
  • Security and privacy in edge intelligent B5G
  • Edge intelligence and blockchain for secure B5G networks
  • Use cases/applications highlighting the potential of edge intelligence for B5G

-- Native Artificial Intelligence (AI) in Integrated Terrestrial and Non-Terrestrial Networks (TNTNs) in 6G

  • Architecture design and algorithms of DML (Distributed Machine Learning) & CML (Centralized Machine Learning)
  • CML/DML-enabled ground communications
  • CML/DML-enabled aerial networks
  • CML/DML-enabled satellite networks
  • CML/DML-enabled integrated TNTNs (Terrestrial and Non-terrestrial Networks)
  • CML/DML for secure PHY-layer
  • CML/DML-enabled TNTNs for IoT
  • CML/DML-based trajectory optimization in Aerial networks
  • Asynchronous CML/DML for edge devices
  • Client selection and scheduling in DML
  • Joint communication, sensing, and learning
  • Model compression and aggregation in DML
  • Efficient schemes for data imbalance in CML/DML
  • CML/DML for channel modeling and estimation in integrated TNTNs
  • Privacy and efficiency trade-off in CML/DML
  • Enhanced security, privacy, and trust in TNTNs through CML/DML
  • The interplay of CML/DML and blockchain for secure TNTNs
  • Distributed and centralized machine learning algorithms in mobile edge computing
  • Distributed and centralized machine learning empirical studies
  • Distributed and centralized machine learning applications in TNTNs
  • Energy efficient techniques for improved TNTNs through CML/DML
  • CML/DML in emerging applications
  • Network protocol designs for CML/DML in terrestrial, aerial, and satellite networks
  • Optimization of CML/DML-enabled TNTNs
  • Efficient schemes for data heterogeneity and dependency in DML-enabled networks
  • Meta-learning
  • Multi-task optimization and learning
  • CML/DML for resource management in TNTNs
  • The interplay between CML/DML and reconfigurable intelligent surfaces in TNTNs
  • Federated learning-enabled TNTNs
  • Incentive mechanisms design and game-theoretic approaches for ML-enabled TNTNs
  • CML/DML and optical wireless communication in satellite, aerial, and terrestrial networks.
 


 [More to come ...] 

 


 

 

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