Dr Soma Umamaheshwar

Scopus Publications

Intelligent techniques for processing and taxonomy of smart City data in mobile ad hoc networks
M. Sumithra, M. Vidhyalakshmi, Soma Umamaheshwar, Naveen Mukkapati
Soft Computing, 2025
Transistor Evolution: A Comprehensive Overview from TFT to TFET and Beyond
Umamaheshwar Soma
Proceedings of the National Academy of Sciences India Section A Physical Sciences, 2025
Enhancing AlGaN/GaN HEMT Performance through Gate-All-Around AlN Passivation: A Comparative Study with a Planar MIS-HEMT
Umamaheshwar Soma
Journal of Electronic Materials, 2024
Enhancing Performance of Dual-Gate FinFET with High-K Gate Dielectric Materials in 5 nm Technology: A Simulation Study
M. V. Ganeswara Rao, N. Ramanjaneyulu, Balamurali Pydi, Umamaheshwar Soma, K. Rajesh Babu, et al.
Transactions on Electrical and Electronic Materials, 2023
Investigating the Effects of Channel Length and High-K Dielectric Materials on the Performance of Double-Gate MOSFETs
Umamaheshwar Soma
Transactions on Electrical and Electronic Materials, 2023
Device Design and Modeling of Fin Field Effect Transistor for Low Power Applications
Umamaheshwar Soma, E. Suresh, B. Balaji, B. Ramadevi
Lecture Notes in Networks and Systems, 2023
Channel Estimation in Broadband MIMO Systems
Thotapally Roshini, Sonnaila Kalyani, Polam Pavan, Maringanti Vaibhava Praneeth, Soma Umamaheshwar
2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
The use of MILLIMETER wave (mmWave) communication has gained attention of advanced technology due to high bandwidth channels., which could potentially enhance data transmission rates. However, utilizing higher bandwidths poses a challenge to the ADC’s. Finding ADCs with sufficient bandwidth and precision for mmWave systems may not be feasible, devices.The goal of this project is to create a broadband estimation of channel algorithm for MIMO systems in the mmWave frequency range that use few-bit ADCs. To solve the noisy compressed sensing problem, efficient Approximate Message Passing (AMP) algorithms will be applied. The expectation maximization algorithm will be used to achieve an approximately minimum mean square error. Additionally, training sequences with FFT will be used to minimize the peak-to-average ratio.Simulation results will be used to compare the performance of 1-bit and few (4-bit) ADCs with infinite bit ADCs at different SNRs, training lengths, ADC resolutions, MSE, and mutual information. The results show that 1-bit and few (4-bit) ADCs have minimal performance losses at low and medium SNR.
Uplink MU-MIMO Systems with Low Complexity ZF and MMSE Detectors for Time-Varying Active Users
Pulluri Keerthana, Kokkirala Anvesh, Vishnu Sai Sarva, Bairi Supraja, Soma Umamaheshwar
2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
The foundation of traditional multi-user detection (MUD) techniques like Minimum Mean Square Error (MMSE) receivers and Zero-forcing is the consistent and well-known presence of present users (ZF). The receiver could experience a significant performance loss if it doesn't react quickly to changes in the number of active users. The difficulties of automating the evaluation of the well-known ZF and MMSE detectors for MU-MIMO systems with a time-varying channel user density are examined in this study. This will offer a low-performance, simple calculation method. The matrix inverses needed by the Minimal Mean Square Error (MMSE) and Zero-forcing (ZF) detectors are not computed directly in the offered solutions. Additionally, to evaluate the performance losses brought on by the employment of ZF, the outcomes of Monte-Carlo simulations are used.
An Efficient Approach for Denoising ECG Signal using 4-Tap FIR Filter
V. Priyanka Brahmaiah, Aruru Sai Kumar, S. Siva Priyanka, Umamaheswara Soma, B. Chandrababu Naik
2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
Electrocardiogram signal is used to analyze the electrical activity of heart. The ECG signals can be used to identify some type of heart diseases and cardiac efficiency. During acquisition of the signal, it is contaminated with various types of noises. It is essential to remove noise from the signal for correct diagnosis of heart disorder. Low pass FIR filter is implemented to remove high frequency noise from the ECG signal. To eliminate noise, the signal is passed through 4-Tap direct form-lowpass FIR filter. The coefficients of filter are floating point numbers. Therefore, the filter is designed to accept floating point values to minimize the error. The filter is implemented in Verilog and performance (area, power, delay) of the design is evaluated using Xilinx 14.2. This approach is carried out in the FPGA unit (spartan 3E). Performance of the filter is evaluated using metrics like Mean square error and Signal to noise ratio.
Compression of Gain in n-Channel MESFET for MIMO Applications
Umamaheshwar Soma
Silicon, 2022
A Dual Gate Junctionless FinFET for Biosensing Applications
Umamaheshwar Soma
Silicon, 2022
PAPR reduction based on subcarriers in FBMC based system
Umamaheshwar Soma, Kommabatla Mahender
Aip Conference Proceedings, 2022
Transmit Antenna Optimization, Power and Energy Efficient Algorithm in Massive MIMO Technology
Inumula Veeraraghava Rao, Umamaheshwar Soma, S Nagendram, Sk Hasane Ahammad
Proceedings 2021 3rd International Conference on Advances in Computing Communication Control and Networking Icac3n 2021, 2021
Novel Hybrid MIMO Detector for Spatial Multiplexed MIMO System
Soma Umamaheshwar, Kommabatla Mahender, Maisagalla Gopal
Iop Conference Series Materials Science and Engineering, 2020
Wi-Fi based smart wireless flipchart
N Swathi, Ch Padmaja, Soma Umamaheshwar, T Sravanthi
Iop Conference Series Materials Science and Engineering, 2020
Fundamentals and challenges of massive MIMO for 5G
International Journal of Innovative Technology and Exploring Engineering, 2019
Improved hybrid MIMO detector for spatial multiplexing operation
International Journal of Recent Technology and Engineering, 2019
Performance of MIMO detection techniques with spatial multiplexing
International Journal of Engineering and Technology Uae, 2018
Improved performance of low complexity K-best sphere decoder algorithm
Umamaheshwar Soma, Anil Kumar Tipparti, Srinivasa Rao Kunupalli
Proceedings of the International Conference on Inventive Communication and Computational Technologies Icicct 2017, 2017
Performance evaluation of multiuser MIMO detection techniques
Soma Umamaheshwar, Tipparti Anil Kumar, K Srinivasa Rao
Proceedings of the 2015 International Conference on Green Computing and Internet of Things Icgciot 2015, 2016
Robust multiuser detection in asynchronous DS-CDMA systems over Nakagami-m fading channels
Srinivasa Rao Vempati, Umamaheshwar Soma, Srinivasa Rao Kunupalli, Habibulla Khan, Anil Kumar Tipparti
Proceedings International Conference on Intelligent Systems Modelling and Simulation Isms, 2015

Dr Soma Umamaheshwar

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Scopus Publications