Research Topics in Wireless 5G and Beyond
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 ...]