Parul Awasthi

@csjmu.ac.in

Assistant professor ECE DEPARTMENT
Csjm university kanpur

Parul Awasthi

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Electrical and Electronic Engineering
7

Scopus Publications

46

Scholar Citations

4

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Enhancing Physical Layer Security in Millimeter Wave Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing Networks
    Parul Awasthi, Vishal Awasthi
    Transactions on Emerging Telecommunications Technologies, 2026
    Millimeter‐Wave (mmWave) massive Multiple Input Multiple Output (MIMO) with Orthogonal Frequency Division Multiplexing (OFDM) is a key enabler of next‐generation wireless communication, providing high spectral efficiency and improved data rates. Massive MIMO utilizes a large number of antennas at the base station to enhance spatial diversity, while OFDM mitigates inter‐symbol interference and enhances spectral efficiency. The combination of mmWave and massive MIMO with OFDM enables high‐capacity communication with reduced latency, making it ideal for 5G and beyond networks. Physical Layer Security (PLS) provides a robust alternative to traditional cryptographic techniques, leveraging information‐theoretic principles to counter advanced eavesdropping threats, including quantum computing attacks. However, conventional PLS key generation methods suffer from reduced secrecy due to the slow variation of channel characteristics. To enhance security, a deep learning‐based key generation approach is proposed using a deep graph convolutional neural network to extract virtual angle of arrival and angle of departure features. The proposed method achieves a bit agreement ratio of 0.5767 and a key generation rate of 1856.59 bits/s, significantly improving key secrecy. Secure data transmission is ensured using a hybrid deep Q‐learning with recurrent neural network framework, incorporating on‐off transmission schemes, which enhances security by achieving a secrecy capacity of 5.37 bps/Hz, maintaining a throughput of 119.55 Mbps, and a latency of 8.00 ms, ensuring scalability. Additionally, evaluations of the secrecy rate of 5.37 bps/Hz, secrecy outage probability of 10 −2 , and 95% Eavesdropper interception capability, demonstrate significant improvements over state‐of‐the‐art techniques.
  • Design of a Hybrid Bio-Inspired Model for Energy Harvesting Networks
    Parul Awasthi, Vishal Awasthi
    Wireless Technology Advances and Innovations for Smart Iot Applications, 2026
  • Machine Learning Models Employing Data Implications for Diabetes Prediction
    Nitya Priya Agarwal, Parul Awasthi, Amit Katiyar, Anand Gupta
    Proceedings of 6th International Conference on Expert Clouds and Applications Icoeca 2026, 2026
  • Smart Dam Water Monitoring using Enabled Internet of Things
    Kapil Joshi, Vineeta Singh, Parul Awasthi, Harishchander Anandaram, Kawerinder Singh Sidhu, et al.
    Proceedings of the 5th International Conference on Data Intelligence and Cognitive Informatics Icdici 2024, 2024
  • Massive MIMO Wireless Solutions in Backhaul for the 5G Networks
    Arun Biradar, Nimmagadda Sathyanarayana Murthy, Parul Awasthi, Ajeet Kumar Srivastava, Patan Saleem Akram, et al.
    Wireless Communications and Mobile Computing, 2022
    In general, the MIMO technology is used to transfer data from a protocol such as Wi-Fi in 5G networks. This is due to the increased bandwidth and capacity. The 802.11n protocol, which, using the technology described in it, allows you to reach speeds of up to 350 megabits/second. The quality of data transmission has improved even in areas where the reception signal is low. An external access point with a MIMO antenna is a well-known one. The WiMAX network can now transmit information at speeds of up to 40 megabits/second, using MIMO. It uses MIMO technology up to 8 × 8 . Thanks to this, a higher transfer rate is achieved—over 35 megabits/second. In addition, reliable and high quality connection of the best quality is guaranteed. In this paper, we continue to work and enhance technical configurations of MIMO in 5G networks. The proposed model will improve spectrum performance, improve network capability, and speed up data rates. In a saturation point, the proposed method achieves that the signal to noise interference ratio is just 42.4%, the receiver signal strength is 92.94%, the downstream traffic is 48.76%, the upstream traffic is 45.62%, the bandwidth utilization is 97.43%, the speed is 95.79%, the connectivity between the access point is 90.6%, and the network security is 96.42%.
  • Performance analysis of interleave division multiple access scheme with different coding techniques
    Parul Awasthi, Sarita Singh Bhadauria, Madhuri Mishra
    Communications in Computer and Information Science, 2011
  • Analysis of IDMA scheme with different interleavers
    Neerja Sharma, Parul Awasthi
    Proceedings of the International Conference on Advances in Computing Communication and Control Icac3 09, 2009

RECENT SCHOLAR PUBLICATIONS

  • Enhancing Physical Layer Security in Millimeter Wave Multiple Input Multiple Output‐Orthogonal Frequency Division Multiplexing Networks
    P Awasthi, V Awasthi
    Transactions on Emerging Telecommunications Technologies 37 (6), e70443 , 2026
    2026.0
  • Design of a Hybrid Bio-Inspired Model for Energy Harvesting Networks
    P Awasthi, V Awasthi
    Wireless Technology, 89-105 , 2026
    2026.0
  • ADAPTIVE BEAMFORMING AND MASSIVE MIMO OPTIMIZATION FOR ULTRA-RELIABLE LOW-LATENCY COMMUNICATION (URLLC) IN 6G NETWORKS
    P Awasthi
    International Journal of Applied Mathematics 38 (6s), 159-189 , 2025
    2025.0
    Citations: 2
  • Human-Robot Interaction Interface Design Using Computer Vision And Natural Language Processing
    MPS Dr. Shalini Gupta , Dr. Subha Jain , Dr. Nirvikar Katiyar , Dr. Shekhar ...
    international journal of environmental sciences 11 (22), 4309- 4318 , 2025
    2025.0
  • Deep Hybrid CNN-LSTM Framework For Advanced Social Media Sentiment Analysis In Data-Driven Marketing Analytic
    MPA Dr. Shrabani Mallick
    international journal of environmental sciences 11 (06), 169-180 , 2025
    2025.0
  • A Deep Learning Approach for Financial Risk Prediction in Enterprise Management Systems
    CP Vijay
    EKSPLORIUM-BULETIN PUSAT TEKNOLOGI BAHAN GALIAN NUKLIR 46 (1), 1579–1597 … , 2025
    2025.0
    Citations: 3
  • Deep Learning Based Joint Precoding, Channel Estimation and Equalization for Millimeter-WaveMassive MIMO OFDM System
    P Awasthi, DV Awasthi
    Channel Estimation and Equalization for Millimeter-WaveMassive MIMO OFDM … , 2025
    2025.0
  • Smart Dam Water Monitoring using Enabled Internet of Things
    K Joshi, V Singh, P Awasthi, H Anandaram, KS Sidhu, P Kumar
    2024 5th International Conference on Data Intelligence and Cognitive … , 2024
    2024.0
    Citations: 11
  • Research Article Massive MIMO Wireless Solutions in Backhaul for the 5G Networks
    A Biradar, NS Murthy, P Awasthi, AK Srivastava, PS Akram, ...
    2022.0
  • Massive mimo wireless solutions in backhaul for the 5g networks
    A Biradar, NS Murthy, P Awasthi, AK Srivastava, PS Akram, ...
    Wireless Communications and Mobile Computing 2022 (1), 3813610 , 2022
    2022.0
    Citations: 10
  • Performance Analysis of Interleave Division Multiple Access Scheme with Different Coding Techniques
    P Awasthi, SS Bhadauria, M Mishra
    International Conference on Advances in Computing, Communication and Control … , 2011
    2011.0
  • Advances in Computing, Communication and Control: International Conference, ICAC3 2011, Mumbai, India, January 28-29, 2011. Proceedings
    S Unnikrishnan, S Surve, D Bhoir
    Springer Science & Business Media , 2011
    2011.0
    Citations: 10
  • Selection for superior genotypes of forage maize (Zea mays L.) under late sown condition.
    PN Awasthi, HC Singh, DK Tripathi, SM Tripathi, IN Shukla
    Current Advances in Agricultural Sciences (An International Journal) 2 (2 … , 2010
    2010.0
  • Genetic variability and selection parameters in fodder maize (Zea mays L.)
    PN Awasthi, HC Singh, DK Tripathi, M Mishra, NS Shukla
    Range Management and Agroforestry 30 (1), 59-61 , 2009
    2009.0
    Citations: 10
  • Analysis of IDMA scheme with different interleavers
    N Sharma, P Awasthi
    Proceedings of the International Conference on Advances in Computing … , 2009
    2009.0
  • Optimized Digital Filter through Pipeline Processing and Look-Ahead Operation
    AK Srivastava, V Awasthi, AK Gupta, P Awasthi

MOST CITED SCHOLAR PUBLICATIONS

  • Smart Dam Water Monitoring using Enabled Internet of Things
    K Joshi, V Singh, P Awasthi, H Anandaram, KS Sidhu, P Kumar
    2024 5th International Conference on Data Intelligence and Cognitive … , 2024
    2024.0
    Citations: 11
  • Massive mimo wireless solutions in backhaul for the 5g networks
    A Biradar, NS Murthy, P Awasthi, AK Srivastava, PS Akram, ...
    Wireless Communications and Mobile Computing 2022 (1), 3813610 , 2022
    2022.0
    Citations: 10
  • Advances in Computing, Communication and Control: International Conference, ICAC3 2011, Mumbai, India, January 28-29, 2011. Proceedings
    S Unnikrishnan, S Surve, D Bhoir
    Springer Science & Business Media , 2011
    2011.0
    Citations: 10
  • Genetic variability and selection parameters in fodder maize (Zea mays L.)
    PN Awasthi, HC Singh, DK Tripathi, M Mishra, NS Shukla
    Range Management and Agroforestry 30 (1), 59-61 , 2009
    2009.0
    Citations: 10
  • A Deep Learning Approach for Financial Risk Prediction in Enterprise Management Systems
    CP Vijay
    EKSPLORIUM-BULETIN PUSAT TEKNOLOGI BAHAN GALIAN NUKLIR 46 (1), 1579–1597 … , 2025
    2025.0
    Citations: 3
  • ADAPTIVE BEAMFORMING AND MASSIVE MIMO OPTIMIZATION FOR ULTRA-RELIABLE LOW-LATENCY COMMUNICATION (URLLC) IN 6G NETWORKS
    P Awasthi
    International Journal of Applied Mathematics 38 (6s), 159-189 , 2025
    2025.0
    Citations: 2
  • Enhancing Physical Layer Security in Millimeter Wave Multiple Input Multiple Output‐Orthogonal Frequency Division Multiplexing Networks
    P Awasthi, V Awasthi
    Transactions on Emerging Telecommunications Technologies 37 (6), e70443 , 2026
    2026.0
  • Design of a Hybrid Bio-Inspired Model for Energy Harvesting Networks
    P Awasthi, V Awasthi
    Wireless Technology, 89-105 , 2026
    2026.0
  • Human-Robot Interaction Interface Design Using Computer Vision And Natural Language Processing
    MPS Dr. Shalini Gupta , Dr. Subha Jain , Dr. Nirvikar Katiyar , Dr. Shekhar ...
    international journal of environmental sciences 11 (22), 4309- 4318 , 2025
    2025.0
  • Deep Hybrid CNN-LSTM Framework For Advanced Social Media Sentiment Analysis In Data-Driven Marketing Analytic
    MPA Dr. Shrabani Mallick
    international journal of environmental sciences 11 (06), 169-180 , 2025
    2025.0
  • Deep Learning Based Joint Precoding, Channel Estimation and Equalization for Millimeter-WaveMassive MIMO OFDM System
    P Awasthi, DV Awasthi
    Channel Estimation and Equalization for Millimeter-WaveMassive MIMO OFDM … , 2025
    2025.0
  • Research Article Massive MIMO Wireless Solutions in Backhaul for the 5G Networks
    A Biradar, NS Murthy, P Awasthi, AK Srivastava, PS Akram, ...
    2022.0
  • Performance Analysis of Interleave Division Multiple Access Scheme with Different Coding Techniques
    P Awasthi, SS Bhadauria, M Mishra
    International Conference on Advances in Computing, Communication and Control … , 2011
    2011.0
  • Selection for superior genotypes of forage maize (Zea mays L.) under late sown condition.
    PN Awasthi, HC Singh, DK Tripathi, SM Tripathi, IN Shukla
    Current Advances in Agricultural Sciences (An International Journal) 2 (2 … , 2010
    2010.0
  • Analysis of IDMA scheme with different interleavers
    N Sharma, P Awasthi
    Proceedings of the International Conference on Advances in Computing … , 2009
    2009.0
  • Optimized Digital Filter through Pipeline Processing and Look-Ahead Operation
    AK Srivastava, V Awasthi, AK Gupta, P Awasthi