SHRAVAN KUMAR BANDARI

Shravan Kumar Bandari received his PhD degree from, NIT Warangal, India in 2013. Received Postdoctoral fellowship from GIGA Korea project at Seoul National University, South Korea, 2018-2019. Received ERASMUS-MUNDUS Euphrates scholarship from the European Union under the doctoral mobility programme at TEI of Patras, Greece (now changed to University of the Peloponnese), 2014-2015. Selected candidate to receive Erasmus-Mundus INTERWEAVE scholarship holder at Tallinn University of Technology, Estonia, 2014-2015. He is twice scholarship holder from MHRD India. His research interest includes future wireless systems, multi-carrier waveforms for next generation wireless systems, multi-antenna/multi user channels, cognitive radio.

EDUCATION

1. Postdoctoral Fellow from Seoul National University (world ranking 36, QS Ranking 2018), South Korea, in 2019.
2. Doctor of Philosophy from the National Institute of Technology Warangal in 2018.
3. Master of Technology from the National Institute of Technology Durgapur in 2013.
4. Bachelor of Technology from Jawaharlal Nehru Technological University Hyderabad in 2010.

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Signal Processing, Statistics and Probability, Information Systems

Scopus Publications

IRS Selection for Passive Beamforming and Information Transmission
Mahima Chaudhary, Shravan Kumar Bandari
Telecommunication Systems, 2026
MRC-Enabled Multi-IRS Framework for Efficient Dual Information Transmission
Mahima Chaudhary, Shravan Kumar Bandari
IEEE Signal Processing Letters, 2026
The multi-panel intelligent reflecting surface (IRS) systems employing passive beamforming and information transmission (PBIT) provide simultaneous primary and auxiliary data transmission through index modulation (IM). To address the sub-optimal spatial diversity in these systems, we offer a maximum ratio combining (MRC)-based methodology that optimally weights signals to enhance reliability and spectral efficiency (SE). We propose a unified optimization framework for phase shifts and a dual-stage receiver. We determine the optimal MRC weighting coefficients, explicitly considering hardware impairments (HWI) and correlated noise to enhance signal reliability. Robustness is examined within practical limitations, encompassing imperfect channel state information (CSI) and HWI. The results confirm that the method significantly enhances bit error rate (BER) and spectral efficiency (SE), while assessing trade-offs in the presence of genuine non-idealities.
Enhanced multi-user communication using hybrid IRS: Joint beamforming and information transmission
Mahima Chaudhary, Suresh Penchala, Shravan Kumar Bandari
Physical Communication, 2025
Performance analysis of multi-antenna multi-IRS assisted communication system for 6G wireless networks
Suresh Penchala, Shravan Kumar Bandari, Sivaprasad Valluri, V.V. Mani
Physical Communication, 2025
Improved Outage Probability using Multi-IRS-Assisted MIMO Wireless Communications in Cellular Blockage Scenarios
Suresh Penchala, Shravan Kumar Bandari, V.V. Mani
Infocommunications Journal, 2025
Future wireless communication technologies must be upgraded to serve the upcoming seamless data-intensive applications and support a minimum information rate. To this end, an intelligent reflecting surface (IRS) technology was recently proposed as a viable solution to cover the uncovered regions with enhanced performance by means of a controlled wireless environment using multiple reflecting elements. In this paper, to elevate the end-user experience, we intend to improve the outage probability (OP) performance utilizing multiple IRS for multiple-input-multiple-output (MIMO) communication systems under a generalized η–μ fading channel, which is suitable for non-line-of-sight (NLOS) scenarios. We derived a closed-form expression for OP and validated the same using a rigorous Monte-Carlo (MC) simulation setup under the considered system model. A comprehensive analysis of each system parameter impacting the likelihood that the communication channel supports the information rate has been detailed based on the number of IRSs, the number of reflecting elements, antenna count at transmitter and receiver, fading parameters, and the placement of IRSs. Results suggest that employing multiple IRSs reduces the outage scenarios in blockage zones, and further improvement can be observed with multiple antennas positioning the IRSs closer to either the transmitter or the receiver. Furthermore, we present an energy efficiency (EE) assessment for the multi-IRS system.
Intelligent reflecting surface assisted sparse vector coding based short packet communication for 6G wireless networks
Dolly Kumari, Mahima Chaudhary, Shravan Kumar Bandari
AEU International Journal of Electronics and Communications, 2025
Performance evaluation of RIS mounted UAV communication system with RF energy harvesting
Suresh Penchala, Shravan Kumar Bandari, V. V. Mani
Telecommunication Systems, 2025
Joint Active-Passive Beamforming and Panel Selection for Hybrid IRS Systems in Multi-User Scenario
Mahima Chaudhary, Shravan Kumar Bandari
2025 IEEE Virtual Conference on Communications Vcc 2025, 2025
The hybrid intelligent reflecting surface (H-IRS) maintains a balance between power efficiency and performance gains. While deploying multiple H-IRS panels enhances connectivity in challenging fading environments, activating all panels simultaneously increases system complexity and power demands. To address this, we propose a selection combining scheme that dynamically selects the optimal H-IRS panel, ensuring reliable communication under varying channel conditions. The key challenge of selecting the best H-IRS is tackled by choosing the channel link with the maximum sum-rate achieved by the users. To achieve this, we jointly optimize the base station (BS) beamforming vector and H-IRS phase shifts under dual power constraints (BS transmit power and active H-IRS element power). We solve this problem semi-optimally using a combination of fractional programming (FP), majorization-minimization (MM), and alternating optimization (AO) techniques. The performance analysis is done using sum-rate and bit error rate (BER) parameters, and it is observed that BER performance improved when the number of H-IRS panels increased from 1 to 5. Also, an improvement in the sum-rate and spectral efficiency (SE) of 17% and $15 \mathrm{bps} / \mathrm{Hz}$ is observed.
Performance Analysis of Multi-Antenna Multi-IRS-Assisted System over Generalized κ-μ Fading Channel
Suresh Penchala, Shravan Kumar Bandari, Venkata Mani Vakamulla, Sai Krishna Kondoju
Wireless Personal Communications, 2025
Controlled Wireless Channel using Multi-Antenna Multi-IRS Assisted Communication System: A Comprehensive Performance Analysis
Suresh Penchala, Shravan Kumar Bandari, V. Venkata Mani, Anastasios Drosopoulos
IEEE Latin America Transactions, 2025
To address societal demands, upcoming communication systems must manage multiple tasks simultaneously, thereby increasing circuit complexity and error rates. These challenges can be mitigated with intelligent reflecting surface (IRS) by utilizing cost-effective reconfigurable metamaterials to manipulate wireless propagation channels. The study investigates the performance analysis of a multi-antenna multi-IRS assisted communication system in a generalized fading channel assuming non-line-of-sight (NLOS) scenario between the base station (BS) and the user equipment (UE) using the moment-generating function (MGF) approach. The theoretical expressions for the bit error rate (BER), and Ergodic capacity (EC) are derived for the system model under consideration. Energy efficiency (EE) was also evaluated for completeness. A mean Monte-Carlo (MC) transceiver simulation test bed is provided to validate the obtained theoretical expressions. The derived theoretical formulae cover Nakagami-m, Nakagami-q, and Rayleigh channels as corner cases to cover the practical indoor and outdoor scenarios. Improved performance is observed with more antennas at the BS and UE, more IRSs, more reflecting elements, IRS placement near BS or UE, high , and low values. It was noticed that the triple-IRS system offers better BER, enhanced EC, more energy efficient than the single-IRS system, and achieves 8 dB gain at BER point of 105, 2.82 (b/s/Hz) improvement in EC, and 3.5 times energy efficient at average achievable rate 25 (b/s/Hz). Moreover, employing multiple antennas achieves 6 dB improvement at BER value of 105, enhanced achievable rate, and in turn improves energy efficiency. Lastly, placing the IRS either near BS or UE is more beneficial than setting it at mid-way where the BER reduces from 102 to 109, EC of 2 (b/s/Hz) gain, and can design a 3 times better energy efficient system.
Demonstration of a Novel SLM-Based PAPR Reduction Method for GFDM Using USRP Testbed
Kishore Vejandla, Prashanth Ragam, Sivaprasad Valluri, Chakravarthy Gunturu, K.N.G.B. Yaswanth, Shravan Kumar Bandari, Sankati Jyothi
IEEE Access, 2025
A low complex joint optimization model for maximizing sum rate and energy efficiency in an IRS-assisted multi-user communication scenario
Mahima Chaudhary, Shravan Kumar Bandari
Physical Communication, 2024
Joint Active and Passive Beamforming in IRS-assisted Wireless Networks over Generalized Fading Model
Mahima Chaudhary, Dolly Kumari, Shravan Kumar Bandari
Vitecon 2023 2nd IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies Proceedings, 2023
On the Bit Error Rate Analysis of Log-Normal Fading Channel in IRS-setup
Suresh Penchala, Shravan Kumar Bandari, V.V. Mani, Sai Krishna Kondoju
2023 IEEE 20th India Council International Conference Indicon 2023, 2023
Improved Reliability of Enhanced Sparse Vector Coding Using Maximal Ratio Transmission for Short Packet Transmission
Dolly Kumari, Mahima Chaudhary, Risham Doley, Shravan Kumar Bandari
International Symposium on Advanced Networks and Telecommunication Systems Ants, 2023
Analysis of GFDM in generalized η−μ fading channel: A simple probability density function approach for beyond 5G wireless applications
Shravan Kumar Bandari, Satyendra Singh Yadav, V.V. Mani
AEU International Journal of Electronics and Communications, 2022
Impact of Nakagami-m Fading Channel on Reconfigurable Intelligent Surface Symbol Error Rate in Non-line-of-sight scenarios
Suresh Penchala, Mahima Chaudhary, Shravan Kumar Bandari, V V Mani
Indicon 2022 2022 IEEE 19th India Council International Conference, 2022
Enhanced sparse vector coding with limited pilot overhead for short packet transmission
Shravan Kumar Bandari, Ch V Rama Rao
2021 Advanced Communication Technologies and Signal Processing Acts 2021, 2021
Maximal Ratio Sparse Vector Coding for Short Packet Transmission
Astha Awasthi, Mithun Kumar, Shravan Kumar Bandari, V.V. Mani
International Symposium on Advanced Networks and Telecommunication Systems Ants, 2021
Enhanced Sparse Vector Coding for Ultra-Reliable and Low Latency Communications
Wonjun Kim, Shravan Kumar Bandari, Byonghyo Shim
IEEE Transactions on Vehicular Technology, 2020
Novel hybrid PAPR reduction schemes for the MGFDM system
Shravan Kumar Bandari, Venkata Mani Vakamulla, Anastasios Drosopoulos
Physical Communication, 2018
GFDM/OQAM performance analysis under Nakagami fading channels
Shravan Kumar Bandari, Venkata Mani Vakamulla, Anastasios Drosopoulos
Physical Communication, 2018
Convolutional codes for MGFDM system
Shravan Kumar Bandari, V. V. Mani, A. Drosopoulos
International Conference on Information and Communication Technology Convergence ICT Convergence Technologies Leading the Fourth Industrial Revolution Ictc 2017, 2017
PAPR analysis of wavelet based multitaper GFDM system
Shravan Kumar Bandari, Venkata Mani Vakamulla, Anastasios Drosopoulos
AEU International Journal of Electronics and Communications, 2017
Training Based Channel Estimation for Multitaper GFDM System
Shravan Kumar Bandari, Venkata Mani Vakamulla, A. Drosopoulos
Mobile Information Systems, 2017
GFDM/OQAM implementation under Rician fading channel
Shravan Kumar Bandari, V. V. Mani, A. Drosopoulos
2016 International Conference on Advances in Computing Communications and Informatics Icacci 2016, 2016
OQAM implementation of GFDM
Shravan Kumar Bandari, V.V. Mani, A. Drosopoulos
2016 23rd International Conference on Telecommunications ICT 2016, 2016
Performance analysis of GFDM in various fading channels
Shravan Kumar Bandari, V.V. Mani, A. Drosopoulos
COMPEL the International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2016
Robust Precoded OSTBC for GFDM Systems
Shravan Kumar Bandari, V.V. Mani, A. Drosopoulos
Procedia Computer Science, 2016
Multi-Taper implementation of GFDM
Shravan Kumar Bandari, V.V. Mani, A. Drosopoulos
IEEE Wireless Communications and Networking Conference Wcnc, 2016
Exact ser expressions of GFDM in Nakagami-m and Rician fading channels
Proceedings of 21st European Wireless Conference European Wireless 2015, 2015
Performance of cooperative spectrum sensing with soft data fusion schemes in fading channels
Srinivas Nallagonda, S. Kumar Bandari, Sanjay Dhar Roy, Sumit Kundu
2013 Annual IEEE India Conference Indicon 2013, 2013
Performance of weighted cooperative spectrum sensing schemes in fading channels
Snnivas Nallagonda, Shravan Kumar Bandari, Sanjay Dhar Roy, Sumit Kundu
Proceedings of the 2012 International Conference on Communications Devices and Intelligent Systems Codis 2012, 2012
Cooperative spectrum sensing with censoring of cognitive radios in presence of log-normal shadowing under majority logic fusion
Srinivas Nallagonda, Shravan Kumar Bandari, Sanjay Dhar Roy, Surmt Kundu
Proceedings of the 2012 International Conference on Communications Devices and Intelligent Systems Codis 2012, 2012

RECENT SCHOLAR PUBLICATIONS

IRS Selection for Passive Beamforming and Information Transmission: M. Chaudhary et al.
M Chaudhary, SK Bandari
Telecommunication Systems 89 (2), 54 , 2026
2026
MRC-Enabled Multi-IRS Framework for Efficient Dual Information Transmission
M Chaudhary, SK Bandari
IEEE Signal Processing Letters , 2026
2026
Performance Evaluation of IRS-Assisted System Under Spatially Correlated Generalized Fading Channel
S Penchala, SK Bandari, A Sarkhel, PK Rathore, VM Vakamulla
Wireless Personal Communications 146 (1), 279-307 , 2026
2026
Citations: 1
Joint Active-Passive Beamforming and Panel Selection for Hybrid IRS Systems in Multi-User Scenario
M Chaudhary, SK Bandari
2025 IEEE Virtual Conference on Communications (VCC), 1-6 , 2025
2025
Performance analysis of multi-antenna multi-IRS assisted communication system for 6G wireless networks
S Penchala, SK Bandari, S Valluri, VV Mani
Physical Communication, 102809 , 2025
2025
Citations: 4
Enhanced multi-user communication using hybrid IRS: Joint beamforming and information transmission
M Chaudhary, S Penchala, SK Bandari
Physical Communication, 102781 , 2025
2025
Demonstration of A Novel SLM-Based PAPR Reduction Method for GFDM using USRP Testbed
K Vejandla, P Ragam, S Valluri, C Gunturu, K Yaswanth, SK Bandari, ...
IEEE Access , 2025
2025
Intelligent reflecting surface assisted sparse vector coding based short packet communication for 6G wireless networks
D Kumari, M Chaudhary, SK Bandari
AEU-International Journal of Electronics and Communications 194, 155751 , 2025
2025
Citations: 3
Performance evaluation of RIS mounted UAV communication system with RF energy harvesting
S Penchala, SK Bandari, VV Mani
Telecommunication Systems 88 (1), 32 , 2025
2025
Citations: 6
Controlled wireless channel using multi-antenna multi-irs assisted communication system: A comprehensive performance analysis
S Penchala, SK Bandari, VV Mani, A Drosopoulos
IEEE Latin America Transactions 23 (2), 114-124 , 2025
2025
Citations: 3
Improved Outage Probability using Multi-IRS-Assisted MIMO Wireless Communications in Cellular Blockage Scenarios
S Penchala, SK Bandari, VV Mani
Infocommunications Journal 17 (3), 37-44 , 2025
2025
Performance Analysis of Multi-Antenna Multi-IRS-Assisted System over Generalized Fading Channel
S Penchala, SK Bandari, VM Vakamulla, SK Kondoju
Wireless Personal Communications 140 (1), 399-425 , 2025
2025
A low complex joint optimization model for maximizing sum rate and energy efficiency in an IRS-assisted multi-user communication scenario
M Chaudhary, SK Bandari
Physical Communication 63, 102296 , 2024
2024
Citations: 6
Improved reliability of enhanced sparse vector coding using maximal ratio transmission for short packet transmission
D Kumari, M Chaudhary, R Doley, SK Bandari
2023 IEEE International Conference on Advanced Networks and … , 2023
2023
Citations: 1
On the bit error rate analysis of log-normal fading channel in irs-setup
S Penchala, SK Bandari, VV Mani, SK Kondoju
2023 IEEE 20th India Council International Conference (INDICON), 209-213 , 2023
2023
Citations: 3
Analysis of SER for GFDM System in α-µ Fading Channel for 5G Wireless Applications
L JADA, S SHIYAMALA, SK BANDARI
2023
Joint active and passive beamforming in IRS-assisted wireless networks over generalized fading model
M Chaudhary, D Kumari, SK Bandari
2023 2nd International Conference on Vision Towards Emerging Trends in … , 2023
2023
Citations: 6
Impact of nakagami-m fading channel on reconfigurable intelligent surface symbol error rate in non-line-of-sight scenarios
S Penchala, M Chaudhary, SK Bandari, VV Mani
2022 IEEE 19th India Council International Conference (INDICON), 1-4 , 2022
2022
Citations: 12
Analysis of GFDM in generalized η− μ fading channel: A simple probability density function approach for beyond 5G wireless applications
SK Bandari, SS Yadav, VV Mani
AEU-International Journal of Electronics and Communications 153, 154260 , 2022
2022
Citations: 14
Enhanced sparse vector coding with limited pilot overhead for short packet transmission
SK Bandari, CVR Rao
2021 Advanced Communication Technologies and Signal Processing (ACTS), 1-5 , 2021
2021
Citations: 6

MOST CITED SCHOLAR PUBLICATIONS

Enhanced Sparse Vector Coding for Ultra-Reliable and Low Latency Communications
W Kim, Shravan Kumar Bandari, B Shim
IEEE Transactions on Vehicular Technology 69 (5), 5698-5702 , 2020
2020
Citations: 54
Performance of cooperative spectrum sensing with soft data fusion schemes in fading channels
S Nallagonda, SK Bandari, SD Roy, S Kundu
2013 Annual IEEE India Conference (INDICON), 1-6 , 2013
2013
Citations: 39
Multi-taper implementation of GFDM
SK Bandari, VV Mani, A Drosopoulos
2016 IEEE Wireless Communications and Networking Conference, 1-5 , 2016
2016
Citations: 32
Exact SER expressions of GFDM in Nakagami-m and Rician fading channels
SK Bandari, A Drosopoulos, VV Mani
Proceedings of European wireless 2015; 21th European wireless conference, 1-6 , 2015
2015
Citations: 23
PAPR analysis of wavelet based multitaper GFDM system
SK Bandari, VM Vakamulla, A Drosopoulos
AEU-International Journal of Electronics and Communications 76, 166-174 , 2017
2017
Citations: 22
GFDM/OQAM performance analysis under Nakagami fading channels
SK Bandari, VM Vakamulla, A Drosopoulos
Physical Communication 26, 162-169 , 2018
2018
Citations: 19
OQAM implementation of GFDM
SK Bandari, VV Mani, A Drosopoulos
2016 23rd International Conference on Telecommunications (ICT), 1-5 , 2016
2016
Citations: 18
Performance analysis of GFDM in various fading channels
SK Bandari, VV Mani, A Drosopoulos
COMPEL: The International Journal for Computation and Mathematics in … , 2016
2016
Citations: 17
Analysis of GFDM in generalized η− μ fading channel: A simple probability density function approach for beyond 5G wireless applications
SK Bandari, SS Yadav, VV Mani
AEU-International Journal of Electronics and Communications 153, 154260 , 2022
2022
Citations: 14
Impact of nakagami-m fading channel on reconfigurable intelligent surface symbol error rate in non-line-of-sight scenarios
S Penchala, M Chaudhary, SK Bandari, VV Mani
2022 IEEE 19th India Council International Conference (INDICON), 1-4 , 2022
2022
Citations: 12
Novel hybrid PAPR reduction schemes for the MGFDM system
SK Bandari, VM Vakamulla, A Drosopoulos
Physical Communication 31, 69-78 , 2018
2018
Citations: 11
Training based channel estimation for multitaper GFDM system
SK Bandari, VM Vakamulla, A Drosopoulos
Mobile Information Systems 2017 (1), 4747256 , 2017
2017
Citations: 11
Performance evaluation of RIS mounted UAV communication system with RF energy harvesting
S Penchala, SK Bandari, VV Mani
Telecommunication Systems 88 (1), 32 , 2025
2025
Citations: 6
A low complex joint optimization model for maximizing sum rate and energy efficiency in an IRS-assisted multi-user communication scenario
M Chaudhary, SK Bandari
Physical Communication 63, 102296 , 2024
2024
Citations: 6
Joint active and passive beamforming in IRS-assisted wireless networks over generalized fading model
M Chaudhary, D Kumari, SK Bandari
2023 2nd International Conference on Vision Towards Emerging Trends in … , 2023
2023
Citations: 6
Enhanced sparse vector coding with limited pilot overhead for short packet transmission
SK Bandari, CVR Rao
2021 Advanced Communication Technologies and Signal Processing (ACTS), 1-5 , 2021
2021
Citations: 6
SD Roy and S. Kundu,“Performance of cooperative spectrum sensing with soft data fusion schemes in fading channels,”
S Nallagonda, SK Bandari
Proc. IEEE INDICON 2013, 1-6 , 2013
2013
Citations: 5
On performance of weighted fusion based spectrum sensing in fading channels
S Nallagonda, SK Bandari, S Dhar Roy, S Kundu
Journal of Computational Engineering 2013 (1), 270612 , 2013
2013
Citations: 5
Performance analysis of multi-antenna multi-IRS assisted communication system for 6G wireless networks
S Penchala, SK Bandari, S Valluri, VV Mani
Physical Communication, 102809 , 2025
2025
Citations: 4
GFDM/OQAM implementation under Rician fading channel
SK Bandari, VV Mani, A Drosopoulos
2016 International Conference on Advances in Computing, Communications and … , 2016
2016
Citations: 4

GRANT DETAILS

1. Deep-cancellation: A deep learning approach to mitigate interference in GFDM receiver for future wireless systems, PI, TEQIP-III, 1,83,000 INR, 2021-2023, completed.
2. AI Empowered Advanced Wireless Communication Systems, Co-PI, DST sponsored FIST Level - 1, 80,00,000 INR, 2021-2026, On-going.
3. Wireless Channel Characterization for hilly urban areas, PI, ISRO, 9,58,363.2 INR, 2023-2025, On-going.