IoT, 5G Communications & Beyond, Cyber-Physical Systems

The field of IoT, 5G Communication and beyond, and cyber physical systems are intertwined. 5G is important to the Internet of Things (IoT) because of the need for a faster network with higher capacity that can serve connectivity needs. The 5G spectrum expands the frequencies on which digital cellular technologies will transfer data. The massive number of physical objects such as embedded devices, smartphones, smart tablets, sensors, radio-frequency identification, and actuators along with the explosive increase in wireless data traffic driven by the popularity of video streaming, media sharing, and other networking services and applications have shaped the notion of cyber-physical systems (CPS). CPS mainly consists of interconnected physical objects and a cyber twin, where a cyber twin is considered as a simulation model such as a computer program, which can represent the physical things. What interconnects the different CPS together is the IoT, which helps facilitate their information transfer. It is envisioned that 5G technologies will be able to expand and support diverse usage scenarios and applications. To be specific, the usage scenarios include enhanced mobile broadband, ultra-reliable and low latency communications (URLLC), and massive machine-type communications (mMTC). It is clear that the URLLC and mMTC aspects of 5G are clearly related to CPS and 5G cellular network may provide an ideal platform for CPS communication using Device to Device Communications. There are faculty members working in the area of 5G and beyond communication which includes IoT, D2D, mm-Wave, 6G THz, IRS, and CPS systems.     

Sub-Topics 

  • IoT and IIoT

    The IoT describes physical objects (or groups of such objects) with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks. The field has evolved due to the convergence of multiple technologies, including ubiquitous computing, commodity sensors, increasingly powerful embedded systems, and machine learning. Traditional fields of embedded systems, wireless sensor networks, control systems, and automation (including home and building automation), independently and collectively enable the Internet of things. IIoT stands for the Industrial Internet of Things and refers to a network of connected devices in the industrial sector. It is a subset of the IoT. The defining characteristic of connected devices on IIoT networks is that they transfer data without human-to-human or human-to-computer interaction. Connected devices communicate through gateways, which are physical servers that filter data, and transmit it to other devices and software applications.

  • 5G Communication and beyond

    “5G and beyond” refers to future mobile wireless communication systems generations. The vision for these next-generation systems is to enable groundbreaking mobile applications requiring high-quality low-latency visual, tactile and audio telepresence, in addition to massive capacity (upwards of 1000 times) and connectivity (billions of users and machines). Next-generation mobile communications have begun harnessing available frequencies at millimeter (mmWave) wavelength (30 – 300 GHz), where high propagation loss can be recovered by high-power transmitters with tens to hundreds of antennas, commonly referred to as Massive-MIMO antennas. The greater the number of antennas, the higher the transmit power that can be achieved by combining the individual power of each antenna, a technique otherwise known as beamforming. The industry is already exploring the use of massive-MIMO antenna arrays that allow increased simultaneous transmission capacity; millimeter-wave spectrum to alleviate the spectrum crunch in current frequency bands; and ultra-dense networks to allow short-range, high-speed data transfer. 5G and beyond communication covers topics such as mmWave communication, 6G, THz communication, Intelligent Reflective Surfaces (IRS), Massive MIMO, Mobile Edge Computing (MEC), Machine learning-based wireless systems and services, Small Cell, V2X communication, Intelligent Transportation Systems, Wireless technologies for automated and connected vehicles, heterogenous networks, cloud and edge-based computing systems etc.

  • Cyber-Physical Systems

    A CPS or intelligent system is a computer system in which a mechanism is controlled or monitored by computer-based algorithms. In cyber-physical systems, physical and software components are deeply intertwined, able to operate on different spatial and temporal scales, exhibiting multiple and distinct behavioural modalities, and interacting with each other in ways that change with context. CPS involves transdisciplinary approaches, merging the theory of cybernetics, mechatronics, design and process science. A few examples of CPS include the smart grid, autonomous automobile systems, medical monitoring, industrial control systems, robotics systems, and automatic pilot avionics. Precursors of cyber-physical systems can be found in areas as diverse as aerospace, automotive, chemical processes, civil infrastructure, energy, healthcare, manufacturing, transportation, entertainment, and consumer appliances.

Associated Faculty Members

Significant Publications

  1. Subhra S. Sarma, R. Hazra and P. Goswami, “Power optimization in a multi-cell D2D communication for smart city in a mm-Wave cellular network: An mIoT perspective”, IEEE Internet of Things Journal, 2023. (Accepted and available online)
  2. Subhra S. Sarma, R. Hazra and A. Mukherjee, “Symbiosis between D2D communication and Industrial IoT for Industry 5.0 in 5G mm-Wave cellular network: An interference management approach”, IEEE Transactions on Industrial Informatics, vol. 18(8), pp. 5527-5536, 2022.
  3. P. Goswami, A. Mukherjee, R. Hazra, L. Yang, U. Ghosh, Q. Yinan and H. Wang, “AI based energy efficient routing protocol for intelligent transportation system”, IEEE Transactions on Intelligent Transportation Systems, vol. 23(2), pp. 1670-1679, 2022.
  4. P. Khuntia, R. Hazra and P. Goswami, “A Bidirectional Relay Assisted Underlay Device- to-Device Communication in Cellular Networks: An IoT Application for FinTech”, IEEE Internet of Things Journal, 2021. (Available Online)
  5. Subhra S. Sarmah, P. Khuntia and R. Hazra, “Power control scheme for D2D communication using uplink channel in 5G mm-Wave network”, Transactions on Emerging Telecommunication Technologies, Wiley, vol. 33(6), e4267, 2021.
  6. P. Khuntia and R. Hazra, “An Efficient Channel and Power Allocation Scheme for D2D Enabled Cellular Communication System: An IoT Application”, IEEE Sensors Journal, vol. 21(22), pp. 25340-25351, 2021.
  7. P.Khuntia, R.Hazra and Peter H.J. Chong, “An efficient actor-critic reinforcement learning for device-to-device communication underlaying sectored cellular network”, International Journal of Communication Systems, Wiley, vol. 33, e4315, 2020.
  8. P. Khuntia and R. Hazra, “An efficient Deep reinforcement learning with extended Kalman filter for device-to-device communication underlaying cellular network”, Transactions on Emerging Telecommunications Technologies, Wiley, vol. 30(9), e3671, 2019.
  9. P. Khuntia and R. Hazra, “QOS aware channel and power allocation scheme for D2D enabled cellular networks”, Telecommunication Systems, Springer, vol. 72, pp. 543-554, 2019.
  10. Subhra S. Sarma, R. Hazra, G.S. Baghel and M.V. Swati, “A RESOURCE ALLOCATION SYSTEM FOR DEVICE-TO-DEVICE COMMUNICATION”, German Patent, Patent Number: 202022101677, 2022 (Patent Granted).
  11. Subhra S. Sarma, R. Hazra and Peter H.J. Chong, “Performance Analysis of DF Relay- Assisted D2D Communication in a 5G mmWave Network”, Future Internet, MDPI, vol. 14(4), 101, 2022.
  12. P.Khuntia and R. Hazra, “An Efficient Reinforcement Learning for Device-to-Device Communication Underlaying Cellular Network”, IEIE Transactions on Smart Processing and Computing, vol. 9, no. 1, 2020.
  13. Sudarsan Sahoo, Priyanuj Borthakur, Niharika Baruah and Bhaskar Pratim Chutia, “IoT and Machine Learning Based Health Monitoring and Heart Attack Prediction System”, Journal of Physics, vol. 1950(1), pp. 012056, 2021.
  14. Sudarsan Sahoo et. al., “A Wireless Communication System for Mining Environment”, German Patent No. 202022100010.7, 2022 (Patent granted).
  15. Sudarsan Sahoo et. al., “A User Device Modem System to Provide Higher Throughput with Lower Power”, German Patent No. 202022100009.3, 2022 (Patent granted).
  16. MM Hussain, MMS Beg, MS Alam, S. H. Laskar, “Big Data Analytics Platforms for Electric Vehicle Integration in Transport Oriented Smart Cities: Computing Platforms for Platforms for Electric Vehicle Integration in Smart Cities”, International Journal of Digital Crime and Forensics (IJDCF), vol. 11(3), pp. 23-42. 2019.
  17. Krishanu Nath, Anirban Nanda, Asifa Yesmin, Manas Kumar Bera, “Event-Triggered Sliding-Mode Control of Two Wheeled Mobile Robot: An Experimental Validation”, IEEE Journal of Emerging and Selected Topics in Industrial Electronics, vol. 2(3), pp. 218-226, 2021.