Research

  • Molecular Communication

  • Massive MIMO

  • Direction finding system

  • Vehicular Network

  • Femtocell

  • Heterogeneous Wireless Network

  • Machine Learning

  • Optical Network

  • Green Communication

  • Cognitive Radio

  • Link Adaptation & MIMO

Molecular Communication

In molecular communication, communication is chemical: messages are encoded as streams of molecules, which propagate from a transmitter to a receiver across a fluid medium. This is a fundamentally new way of communicating – or at least, it's new to communications engineers; microorganisms have been doing it since long before there were humans.Outcome:
  1. A. K. Shrivastava, D. Das and R. Mahapatra, "Particle-Based Simulation of the Differential Detectors for Mobile Molecular Communication,," IEEE Communications Letters, Volume: 25, Issue: 9, pp. 3008 - 3012, Sept. 2021, 10.1109/LCOMM.2021.3093651
  2. A. K. Shrivastava, D. Das, N. Varshney and R. Mahapatra, "Scaled Conjugate Gradient Algorithm for Neural Network Detector in Mobile Molecular Communication," IEEE GLOBECOM 2021, virtual conference
  3. A. K. Shrivastava, D. Das and R. Mahapatra, "Performance evaluation of mobile molecular communication system using neural network detector" IEEE Wireless Communications Letters, Vol. 10, No. 8, pp. 1776 - 1779, Aug. 2021. DOI:10.1109/LWC.2021.3079522
  4. A. K. Shrivastava, D. Das, N. Varshney and R. Mahapatra, "Transmission and Detection Techniques for Internet of Bio-Nano Things Applications with Static and Mobile Molecular Communication: A Survey," ITU Journal on Future and Evolving Technologies - Special issue on Internet of Bio-NanoThings for Health Applications, Vol 2, No. 3, July 2021. https://www.itu.int/en/journal/j-fet
  5. A. K. Shrivastava, D. Das and R. Mahapatra, "Adaptive Threshold Detection and ISI Mitigation in Mobile Molecular Communication," IEEE WCNC 2020, 25-28 May 2020 // Virtual Conference
  6. A. K. Shrivastava, D. Das, R. Mahapatra and S. P. Mohanty, "dMole: A novel transceiver for mobile molecular communication using robust differential detection techniques," IEEE Transactions on NanoBioscience, vol. 19, no. 4, pp. 609 - 621, Oct. 2020. DOI: 10.1109/TNB.2020.3014958
  7. A. K. Shrivastava, D. Das and R. Mahapatra, "Slope Based Detection for Mobile Molecular Communication Based on Einstein's Law of Diffusion," IEEE INDICON 2018, Dec 16-18, Coimbatore, India

Massive MIMO

Outcome:
  1. N. Indira, R. Mahapatra, V. Reddy and A. Kohli, “Deployment efficiency vs energy efficiency in dense wireless environment using massive MIMO," accepted in IEEE International Conference on Emerging Trends in Communication Technologies (ICETCT 2016), 18-19 Nov, Dehradun

Direction finding systems

It is mostly use in EW systems to find the location of the transmitter Outcome:
  1. Y. Nijsure, G. Kaddoum, G. Gagnon, C. Yuen and R. Mahapatra, “Adaptive air-to-ground secure communication system based on ADS-B and wide area multilateration,” IEEE Transaction on Vehicular Technology, vol. 65, no. 5, pp. 3150-3165, May 2016. DOI: 10.1109/TVT.2015.2438171

Vehicular network


Outcome:
  1. H. Saini and R. Mahapatra, “Implementation and Performance Analysis of AODV Routing Protocol in VANETs”, International Journal of Emerging Science and Engineering, January 2014

Femtocell

To increase coverage and data rate at low power for indoor users, wireless networks introduced a new type of access technology, named femtocell (HeNB). HeNBs are a low-cost, low-power base-station deployed by the end-users. HeNBs are deployed on an already existing and working cellular infrastructure and may use the same licensed spectrum of macrocell base station.
Outcome:
  1. R. Mahapatra and Emilio Calvanese Strinati, “Interference-aware dynamic spectrum access in cognitive radio network”, IEEE PIMRC 2011, Toronto, Canada, 11-14 Sept, 2011.
  2. E. Madhwal and R. Mahapatra, “Performance analysis of femtocell network in macrocell environment”, IEEE ICECI 2014, Kolkata, India
  3. R. Mahapatra & Emilio Calvanese Strinati, “Radio resource management for self-organized femtocell exploiting location information’, IEEE ANTS 2011, Bangalore, India, 18-21 Dec, 2011.
  4. INFSO-ICT-248523 BeFEMTO project, WP-3, “Radio access specs and promising techniques for indoor standalone femtocells”. Deliverable IR3.3, Dec 2011.
  5. INFSO-ICT-248523 BeFEMTO project, WP-3, “Promising Interference and radio management techniques for indoor standalone femtocells”. Deliverable D3.2, June 2012
  6. INFSO-ICT-248523 BeFEMTO project, Deliverable D2.3, WP-2, “BeFemto system concept and its performances”, June 2012
  7. R. Mahapatra, “Studies & implementation of femtocell in system level simulator along with the Ghost scheduling for femtouser”, CEA-LETI internal report, Sept 2011
  8. R. Mahapatra et al, “Radio resource management for cognitive femtocell”, under preparation
  9. BeFEMTO project, WP-3, “Radio access specs and promising techniques for indoor standalone femtocells”. Deliverable IR3.3, 2012.
  10. BeFEMTO project, WP-2, “Simulation of femtocell in system-level simulator according to BeFEMTO specification”, 2012
  11. R. Mahapatra, “Studies & implementation of femtocell in system level simulator along with the Ghost scheduling for femtouser”, CEA-LETI internal report, 2011

Heterogeneous Wireless Network

In view of future communication networks, which comprises many access networks and one core networks, seamless connectivity plays a significant role to provide anything, anytime, anywhere communication to users. To provide always on services, the challenging task is to maintain seamless connectivity between heterogeneous access networks. In order to facilitate this, it is necessary to have a multitasking wireless device that supports multiband, multimode, and multistandard wireless communications. Keeping this as final goal I am working on the technology requirements for seamless connection and on the way to define a mapping strategy between different networks.I involve in seamless mobility for heterogeneous wireless access networks with emphasis on PHY and MAC layers. Specifically I am targeting the different competitive technologies under 4G standard. Outcome:
  1. R. Mahapatra, Y. Nijsure, G. Kaddoum, N. UL Hassan and C. Yuen, "Energy efficiency tradeoff mechanism towards wireless green communication: A survey", IEEE Communications Surveys and Tutorials, In Press (Accepted on 10 October 2015)
  2. P. Chand, R. Mahapatra and R. Prakash, “Energy efficient radio resource management for heterogeneous wireless network using CoMP” Wireless Network, Springer, July 2015 (Online).
  3. R. Mahapatra, A. D. Domenico, R. Gupta and E. C. Strinati, “Green framework of future heterogeneous wireless network,” Computer Network, Elsevier, vol. 57, no. 6, pp. 1518-1528, April 2013.
  4. P. Chand and R. Mahapatra and R. Prakash, “Energy Efficient Coordinated Multipoint Transmission and Reception Techniques-A Survey”, International Journal of Computer Networks and Wireless Communications (IJCNWC), Vol.3, No 4, August 2013
  5. P. Chand, R. Mahapatra and R. Prakash, “Energy consumption analysis of heterogeneous wireless network using coordinated multipoint transmission technique,” IEEE INDICON Dec, 2014, Pune India.
  6. P. Chand, R. Mahapatra and R. Prakash, “Energy efficient Performance analysis of downlink CoMP in heterogeneous wireless network”, 9th International Conference on Industrial and Information Systems (ICIIS), Dec 2014, Jaipur India.
  7. P. Chand, R. Mahapatra and R. Prakash, “Energy efficiency analysis of downlink CoMP with BS switching off in heterogeneous wireless Network” accepted in IEEE Chinacom 2014.
  8. Arjun Singh and R. Mahapatra, “Energy efficient analysis of heterogeneous wireless network,” IEEE IACC 2013, 22-23 Feb, Delhi, India

Machine Learning

  1. S. Kumar, R. Mahapatra, and A. Singh, "Deep Learning-Aided Massive MIMO Decoder," AEUE - International Journal of Electronics and Communications (Accepted on July 2022)
  2. S. Kumar, R. Mahapatra, A. Singh, and P. Kumar, "Decoder Design for Massive-MIMO Systems using Deep Learning, IEEE System Journal (Accepted on July 2022)
  3. S. Kumar, R. Mahapatra, and A. Singh, "Automatic Modulation Recognition: An FPGA Implementation," IEEE Communications Letters (Available online June 2022)
  4. S. Kumar, A. Agarwal, N. Varshney and R. Mahapatra, "Low-Precision Deep Learning based Automatic Modulation Recognition System," ITU Journal on Future and Evolving Technologies - (Accepted)
  5. S. Kumar, A. Singh and R. Mahapatra, "Deep learning based Massive-MIMO decoder," IEEE ANTS 2019, Dec 16-19, Goa, India
  6. S. Kumar, A. Singh and R. Mahapatra, "Hardware Implementation of Automatic Modulation Classification with Deep Learning," IEEE ANTS 2019, Dec 16-19, Goa, India

Optical Network

Outcome:
  1. R. Mahapatra, "Participation of Optical Backbone Network in Successful Advancement of Wireless Network," Wireless Personal Communications, vol. 96, no. 3, pp 3463–3481, Oct 2017
  2. R. Mahapatra "Participation of Optical Backbone Network in Successful Advancement of Wireless Network", accepted for presentation in a Special Session "Fiber Wireless Convergence for broadband Connectivity in 5G Perspective" of "Wireless Vitae (WVitae) 2015"

Green Communication

In the light of the developments of global warming and its impact on our environment, society, and world economy, we believe that it is our responsibility to address the need for global greenhouse gas reduction within the range of our own abilities.
Outcome:
  1. R. Mahapatra, Y. Nijsure, G. Kaddoum, N. UL Hassan and C. Yuen, "Energy efficiency tradeoff mechanism towards wireless green communication: A survey", IEEE Communications Surveys and Tutorials, vol. 18, no. 1, pp. 686-705, FIRST QUARTER 2016. DOI: 10.1109/COMST.2015.2490540
  2. P. Chand, R. Mahapatra and R. Prakash, “Energy efficient radio resource management for heterogeneous wireless network using CoMP” Wireless Network, Springer, July 2015 (Online).
  3. R. Mahapatra, A. D. Domenico, R. Gupta and E. C. Strinati, “Green framework of future heterogeneous wireless network,” Computer Network, Elsevier, vol. 57, no. 6, pp. 1518-1528, April 2013.
  4. P. Chand and R. Mahapatra and R. Prakash, “Energy Efficient Coordinated Multipoint Transmission and Reception Techniques-A Survey”, International Journal of Computer Networks and Wireless Communications (IJCNWC), Vol.3, No 4, August 2013
  5. P. Chand, R. Mahapatra and R. Prakash, “Energy consumption analysis of heterogeneous wireless network using coordinated multipoint transmission technique,” IEEE INDICON Dec, 2014, Pune India.
  6. P. Chand, R. Mahapatra and R. Prakash, “Energy efficient Performance analysis of downlink CoMP in heterogeneous wireless network”, 9th International Conference on Industrial and Information Systems (ICIIS), Dec 2014, Jaipur India.
  7. P. Chand, R. Mahapatra and R. Prakash, “Energy efficiency analysis of downlink CoMP with BS switching off in heterogeneous wireless Network” accepted in IEEE Chinacom 2014.
  8. Arjun Singh and R. Mahapatra, “Energy efficient analysis of heterogeneous wireless network,” IEEE IACC 2013, 22-23 Feb, Delhi, India
  9. R. Mahapatra, “Energy consumption analysis in link adaptive cognitive radio network”, Third IEEE International Symposium on Advanced Networks and Telecommunications Systems (IEEE ANTS, 2009), Delhi, India, Dec. 14-16, 2009.
  10. R. Mahapatra et al, “Green coverage in heterogeneous wireless network exploiting spectrum map,” under preparation.

Cognitive Radio

One of the interesting research area in recent time. I am working on this beautiful concept, to present some usable idea for next generation users. I have started working on this field during my stay in Applied Research Group, Satyam Computer Services Ltd. The lab situated at the campus of Indian Institute of Science, Bangalore. During my stay in ARG, I have explored and worked on several research issues on cognitive radio. In ARG, I was leading the Cognitive radio research group. Some of the works are including
  1. Spectrum sensing in OFDM based cognitive radio
  2. Cross layer optimization using genetic algorithm
  3. Dynamic spectrum management
  4. Spectrum trading/billing
  5. Green communication
Outcome:
  1. R. Mahapatra, “Radio environment map based radio resource management in heterogeneous wireless network,” International Conference on Communication, Computing and Networking, March 29-30, 2018, NITTTR, Chandigarh
  2. R. Mahapatra, “Spectrum management framework in next generation wireless networks,” INDICON 2016, Dec. 16-18, 2016, Bangalore.
  3. R. Mahapatra, “Wideband spectrum sensing in multiantenna based cognitive radio”, IEEE INDICON, 2009, India, Dec. 18-20, 2009.
  4. R. Mahapatra and M. Krusheel, “CycloStationary detection for cognitive radio with multiple receivers”, International Symposium on Wireless Communication Systems (IEEE ISWCS 2008), Iceland, Oct. 21-24, 2008, pp. 493-497.
  5. V. Kuppusamy and R. Mahapatra, “Primary user detection in MIMO cognitive radio using MRC scheme”, IEEE TENCON 2008, Hyderabad, India, Nov. 18-21, 2008.
  6. V. Kuppusamy and R. Mahapatra, “Primary user detection in energy detector based MIMO cognitive radio,” Third International Conference on Cognitive Radio Oriented Wireless Networks and Communications (IEEE CROWNCOM 2008), Singapore, May 15-17, 2008.
  7. R. Mahapatra, “Cosine modulated filterbank technique for cognitive UWB”, IEEE and IFIP International Conference on wireless and Optical Communications Networks (IEEE WOCN 2007), Singapore, July 2-4, 2007.
Useful resources: IEEE 1900

Link Adaptation & MIMO

After spending two years in communication industry, I finally joined IIT, Kharagpur as a Research Scholar in the Dept. of E & ECE. Though my basic degree is in Optics and I worked in industry in Optical Network, I choose my research area as Wireless Network. The low data rate and poor voice quality of the mobile phone have pushed me to do research in Wireless Communications. I firmly believe that wireless is the last mile solution with a optical backbone in future communication systems.Thesis Title: Studies on Link Adaptive Wireless CommunicationsSupervisors: Prof. Debasish Datta and Prof. Anindya Sundar DharThesis Keywords:Link adaptation, adaptive modulation, shrinking of symbol interval, simultaneous voice and data transmission, diversity, Alamouti transmit diversity, maximal-ratio combining, energy consumption, transition-initiated phase accelerationThe chapters of my thesis are
  • Integrated Voice and Data Transmission Employing Adaptive Modulation
  • Diversity-Aided Link-Adaptive Wireless Transmission
  • Energy-Consumption in Mobile Units Employing Adaptive Transmission Schemes
  • Adaptive Digital Phase Modulation Schemes Using Transition-Initiated Phase Acceleration
Outcome: Four peer reviewed Journal papers and Four Conference papers and one Poster presentation (see publication page for details)Outcome:
  1. Rajarshi Mahapatra, “Adaptive Modulation in Wireless communication”, LAP LAMBERT Academic, ISBN 978-3-659-30375-3, 2012. (Book)
  2. R. Mahapatra, A. S. Dhar and D. Datta, “Integrated voice and data transmission employing adaptive modulation in wireless networks”, Int. J. Electron. Commun.(AEU), Elsevier, vol. 63, no. 12, pp. 1012-1025, Dec. 2009.
  3. R. Mahapatra, A. S. Dhar and D. Datta, “Adaptive digital phase modulation schemes using transition-initiated phase acceleration”, Int. J. Electron Commun (AEU), Elsevier, vol. 62, no. 10, pp. 740-753, Nov. 2008.
  4. R. Mahapatra, A. S. Dhar and D. Datta, “Spectral efficiency of link-adaptive transmit diversity scheme in wireless communication systems”, International Journal of Computers, Information Technology & Engineering, Serials Publication, vol. 1, no. 1, pp. 37-41, June 2007.
  5. R. Mahapatra, A. S. Dhar and D. Datta, “On feasibility of a multiplier-less phase-shifting scheme for digital phase modulation and its VLSI implementation”,International Journal of Electronics, Taylor & Francis, vol. 94, no. 2, pp. 171-181, Feb. 2007.
  6. R. Mahapatra, A. S. Dhar and D. Datta, “Spectral efficiency of link-adaptive wireless communication using Alamouti transmit diversity scheme”, in International Conference on Computers and Devices for Communication (CODEC 2006), Kolkata, India, Dec. 18-20, 2006.
  7. R. Mahapatra, A. S. Dhar and D. Datta, “Dynamic capacity allocation for voice and data using adaptive modulation in wireless networks”, IEEE and IFIP International Conference on wireless and Optical Communications Networks (IEEE WOCN 2006), Bangalore, India, Apr. 11-13, 2006.
  8. R. Mahapatra, A. S. Dhar and D. Datta, “Spectral efficiency of Rayleigh fading channel using Alamouti transmit diversity scheme along with adaptive modulation”, All Indian Seminar on Emerging Areas in Wireless Communication, Institution of Engineers (India), Kolkata, Feb. 18-19, 2006.
  9. R. Mahapatra, A. S. Dhar and D. Datta, “On VLSI implementation of a novel phase-shifting scheme for link adaptation in wireless communication Systems”, National Conference on Communications (NCC 2005), IIT, Kharagpur, Jan. 28-30, 2005.