B V Ravisankar Devarakonda

@mvsrec.edu.in

PROFESSSOR and INFORMATION TECHNOLOGY
MATURI VENKATA SUBBA RAO ENGINEERING COLLEGE

B V Ravisankar Devarakonda


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https://researchid.co/dbvravisankar

EDUCATION

Ph.D (Electronics and Communication Engineering)

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Signal Processing, Computer Science Applications, Multidisciplinary
2

Scopus Publications

9

Scholar Citations

2

Scholar h-index

Scopus Publications

  • Multi-Head Attention-Based Spectrum Sensing for Cognitive Radio
    B. V. Ravisankar Devarakonda, Venkateswararao Nandanavam
    International Journal of Electrical and Computer Engineering Systems, 2023
    Spectrum sensing is one of the key tasks of cognitive radio to monitor the activity of the primary user. The sensing accuracy of the secondary user is dependent on the signal-to-noise ratio of the primary user signal. A novel Multi-head Attention-based spectrum sensing for Cognitive Radio is proposed through this work to increase the detection probability of the primary user at a low signal- to-noise ratio condition. A radio machine learning dataset with a variety of digital modulation schemes and varying signal-to-noise ratios served as a training source for the proposed model. Further, the performance metrics were evaluated to assess the performance of the proposed model. The experimental results indicate that the proposed model is optimized in terms of the amount of training time required which also has an increase of 27.6% in the probability of detection of the primary user under a low signal-to-noise ratio when compared to other related works that use deep learning.
  • Ensemble Classifier with Heterogenous Fusion Center for Cooperative Spectrum Sensing in Cognitive Radio
    D. B. V. Ravisankar, N. Venkateswararao
    Journal of Interconnection Networks, 2022
    Cooperative spectrum sensing (CSS) in a cognitive radio uses a fusion center, which receives local sensing decisions from multiple secondary users to predict whether primary user is present or absent. Therefore, an ensemble classifier with heterogenous fusion center (EC-HFC) is proposed in this work, where the ensemble classifier comprise three classification algorithms such as logistic regression (LR), support vector machine (SVM), and gaussian naive bayes (GNB). In addition, voting classifier with its variants also employed for finding the best suitable classifier. Further, the performance metrics such as accuracy, F1-score, area under the curve (AUC), probability of detection and probability of false alarm are computed for evaluating the performance of proposed ensemble classifier-based fusion center for cooperative spectrum sensing in cognitive radio. Finally, the obtained receiver operating characteristics (ROC) and extensive simulation results shows that proposed fusion center resulted in superior performance as compared to individual secondary users.

RECENT SCHOLAR PUBLICATIONS

  • Multi-Head Attention-Based Spectrum Sensing for Cognitive Radio
    BV Devarakonda, V Nandanavanam
    International journal of electrical and computer engineering systems 14 (2 … , 2023
    2023
    Citations: 4
  • Ensemble Classifier with Heterogenous Fusion Center for Cooperative Spectrum Sensing in Cognitive Radio
    DBV Ravisankar, N Venkateswararao
    Journal of Interconnection Networks 22 (Supp01), 2141035 , 2022
    2022
    Citations: 4
  • Multi-Modulation Sequence Detection using Verilog
    BVRD R.Chinna Rao
    INTERNATIONAL JOURNAL OF FOOD AND NUTRITIONAL SCIENCES 11 (2), 2197-2205 , 2022
    2022
  • Spectrum Hole Detection For Cognitive Radio Using Machine Learning
    DBV Ravisankar, N Venkateswararao
    Solid State Technology 63 (6), 10222-10232 , 2020
    2020
  • A SURVEY OF COOPERATIVE SPECTRUM SENSING APPROACHES AND DATA FUSION SCHEMES IN COGNITIVE RADIO NETWORKS
    DBV Ravisankar, N Venkateswararao
    International Journal of Electrical and Electronic Engineering … , 2017
    2017
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Multi-Head Attention-Based Spectrum Sensing for Cognitive Radio
    BV Devarakonda, V Nandanavanam
    International journal of electrical and computer engineering systems 14 (2 … , 2023
    2023
    Citations: 4
  • Ensemble Classifier with Heterogenous Fusion Center for Cooperative Spectrum Sensing in Cognitive Radio
    DBV Ravisankar, N Venkateswararao
    Journal of Interconnection Networks 22 (Supp01), 2141035 , 2022
    2022
    Citations: 4
  • A SURVEY OF COOPERATIVE SPECTRUM SENSING APPROACHES AND DATA FUSION SCHEMES IN COGNITIVE RADIO NETWORKS
    DBV Ravisankar, N Venkateswararao
    International Journal of Electrical and Electronic Engineering … , 2017
    2017
    Citations: 1
  • Multi-Modulation Sequence Detection using Verilog
    BVRD R.Chinna Rao
    INTERNATIONAL JOURNAL OF FOOD AND NUTRITIONAL SCIENCES 11 (2), 2197-2205 , 2022
    2022
  • Spectrum Hole Detection For Cognitive Radio Using Machine Learning
    DBV Ravisankar, N Venkateswararao
    Solid State Technology 63 (6), 10222-10232 , 2020
    2020