3.4k citations · 6.5k across the 45 of their papers we have counts for
48 papers
Task-Oriented Candidate-Latent Feedback for Coarse-to-Fine Sensing in Distributed OFDM-ISAC Networks
Shiv Shankar, Radha Krishna Ganti, J Klutto Milleth
Future integrated sensing and communication (ISAC) architectures separate the sensing entity (SE) that acquires measurements from the sensing function (SF) that performs inference,…
Enabling AI-Native Mobility in 6G: A Real-World Dataset for Handover, Beam Management, and Timing Advance
Mannam Veera Narayana, Rohit Singh, Deepa M. R +1
To address the issues of high interruption time and measurement report overhead under user equipment (UE) mobility especially in high speed 5G use cases the use of AI/ML techniques…
Study on Downlink CSI compression: Are Neural Networks the Only Solution?
K. Sai Praneeth, Anil Kumar Yerrapragada, Achyuth Sagireddi +2
Massive Multi Input Multi Output (MIMO) systems enable higher data rates in the downlink (DL) with spatial multiplexing achieved by forming narrow beams. The higher DL data rates a…
Physical Layer Design for Ambient IoT
Rohit Singh, Anil Kumar Yerrapragada, Radha Krishna Ganti
There is a growing demand for ultra low power and ultra low complexity devices for applications which require maintenance-free and battery-less operation. One way to serve such app…
Precoder Implementation and Optimization in 5G NR Massive MIMO Radio
Kalyani Bhukya, Shahid Aamir Sheikh, Radha Krishna Ganti
The evolution of 5G New Radio (NR) has brought significant improvements in signal strength and service quality for users. By integrating Multiple Input Multiple Output (MIMO) syste…
A Machine Learning based Hybrid Receiver for 5G NR PRACH
Rohit Singh, Anil Kumar Yerrapragada, Radha Krishna Ganti
Random Access is a critical procedure using which a User Equipment (UE) identifies itself to a Base Station (BS). Random Access starts with the UE transmitting a random preamble on…
On the Application of Deep Learning for Precise Indoor Positioning in 6G
Sai Prasanth Kotturi, Anil Kumar Yerrapragada, Sai Prasad +1
Accurate localization in indoor environments is a challenge due to the Non Line of Sight (NLoS) nature of the signaling. In this paper, we explore the use of AI/ML techniques for p…
Centimeter Positioning Accuracy using AI/ML for 6G Applications
Sai Prasanth Kotturi, Radha Krishna Ganti
This research looks at using AI/ML to achieve centimeter-level user positioning in 6G applications such as the Industrial Internet of Things (IIoT). Initial results show that our A…
UCINet0: A Machine Learning based Receiver for 5G NR PUCCH Format 0
Jeeva Keshav Sattianarayanin, Anil Kumar Yerrapragada, Radha Krishna Ganti
Accurate decoding of Uplink Control Information (UCI) on the Physical Uplink Control Channel (PUCCH) is essential for enabling 5G wireless links. This paper explores an AI/ML-based…
Enhancements for 5G NR PRACH Reception: An AI/ML Approach
Rohit Singh, Anil Kumar Yerrapragada, Jeeva Keshav S +1
Random Access is an important step in enabling the initial attachment of a User Equipment (UE) to a Base Station (gNB). The UE identifies itself by embedding a Preamble Index (RAPI…
Pilotless Uplink for Massive MIMO Systems
P Aswathylakshmi, Radha Krishna Ganti
Massive MIMO OFDM waveforms help support a large number of users in the same time-frequency resource and also provide significant array gain for uplink reception in cellular system…
Machine Learning Decoder for 5G NR PUCCH Format 0
Anil Kumar Yerrapragada, Jeeva Keshav S, Ankit Gautam +1
5G cellular systems depend on the timely exchange of feedback control information between the user equipment and the base station. Proper decoding of this control information is ne…
Fronthaul Compression for Uplink Massive MIMO using Matrix Decomposition
Aswathylakshmi P, Radha Krishna Ganti
Massive MIMO opens up attractive possibilities for next generation wireless systems with its large number of antennas offering spatial diversity and multiplexing gain. However, the…
QR Approximation for Massive MIMO Fronthaul Compression
Aswathylakshmi P, Radha Krishna Ganti
Massive MIMO's immense potential to serve large number of users at fast data rates also comes with the caveat of requiring tremendous processing power. This favours a centralized r…
Interference Characterization in Downlink Li-Fi Optical Attocell Networks
Atchutananda Surampudi, Radha Krishna Ganti
Wireless access to data using visible light, popularly known as light-fidelity (Li-Fi), is one of the key emerging technologies which promises huge bandwidths and data rates. In Li…
Coverage Analysis in Millimeter Wave Cellular Networks with Reflections
Aroon Narayanan, Sreejith T., Radha Krishna Ganti
The coverage probability of a user in a mmwave system depends on the availability of line-of-sight paths or reflected paths from any base station. Many prior works modelled blockag…
Error Vector Magnitude Analysis in Generalized Fading with Co-Channel Interference
Sudharsan Parthasarathy, Suman Kumar, Radha Krishna Ganti +2
In this paper, we derive the data-aided Error Vector Magnitude (EVM) in an interference limited system when both the desired signal and interferers experience independent and non i…
Efficient CSMA using Regional Free Energy Approximations
Peruru Subrahmanya Swamy, Venkata Pavan Kumar Bellam, Radha Krishna Ganti +1
CSMA (Carrier Sense Multiple Access) algorithms based on Gibbs sampling can achieve throughput optimality if certain parameters called the fugacities are appropriately chosen. Howe…
SIR Asymptotics in General Network Models
Anjin Guo, Martin Haenggi, Radha Krishna Ganti
In the performance analyses of wireless networks, asymptotic quantities and properties often pro- vide useful results and insights. The asymptotic analyses become especially import…
Maximal Packing with Interference Constraints
Rakshith Jagannath, Radha Krishna Ganti, Neelesh S Upadhye
In this work, we study the problem of scheduling a maximal set of transmitters subjected to an interference constraint across all the nodes. Given a set of nodes, the problem reduc…
Adaptive Modulation with Impulsive Interference
Sudharsan Parthasarathy, Radha Krishna Ganti
In this letter, we analyze power and rate adaptation in a point-to-point link with Rayleigh fading and impulsive interference. We model the impulsive interference as a Bernoulli-Ga…
A Linearization Technique for Self-Interference Cancellation in Full-Duplex Radios
Arjun Nadh, Joseph Samuel, Ankit Sharma +2
The fundamental problem in the design of a full-duplex radio is the cancellation of the self-interference (SI) signal generated by the transmitter.Current techniques for suppressin…
Coverage Analysis In Downlink Poisson Cellular Network With - Shadowed Fading
Sudharsan Parthasarathy, Radha Krishna Ganti
The downlink coverage probability of a cellular network, when the base station locations are modelled by a Poisson point process (PPP), is known when the desired channel is Nakagam…
Adaptive CSMA under the SINR Model: Efficient Approximation Algorithms for Throughput and Utility Maximization
Peruru Subrahmanya Swamy, Radha Krishna Ganti, Krishna Jagannathan
We consider a Carrier Sense Multiple Access (CSMA) based scheduling algorithm for a single-hop wireless network under a realistic Signal-to-interference-plus-noise ratio (SINR) mod…