Sumit J. Darak
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View article: Low Complexity Deep Learning Augmented Wireless Channel Estimation for Pilot-Based OFDM on Zynq System on Chip
Low Complexity Deep Learning Augmented Wireless Channel Estimation for Pilot-Based OFDM on Zynq System on Chip Open
Channel estimation (CE) is one of the critical signal-processing tasks of the wireless physical layer (PHY). Recent deep learning (DL) based CE have outperformed statistical approaches such as least-square-based CE (LS) and linear minimum …
View article: Low Complexity High Speed Deep Neural Network Augmented Wireless Channel Estimation
Low Complexity High Speed Deep Neural Network Augmented Wireless Channel Estimation Open
The channel estimation (CE) in wireless receivers is one of the most critical and computationally complex signal processing operations. Recently, various works have shown that the deep learning (DL) based CE outperforms conventional minimu…
View article: Design and Performance Analysis of Hardware Realization of 3GPP Physical Layer for 5G Cell Search
Design and Performance Analysis of Hardware Realization of 3GPP Physical Layer for 5G Cell Search Open
5G Cell Search (CS) is the first step for user equipment (UE) to initiate communication with the 5G node B (gNB) every time it is powered ON. In cellular networks, CS is accomplished via synchronization signals (SS) broadcasted by gNB. 5G …
View article: Low Complexity Deep Learning Augmented Wireless Channel Estimation for Pilot-Based OFDM on Zynq System on Chip
Low Complexity Deep Learning Augmented Wireless Channel Estimation for Pilot-Based OFDM on Zynq System on Chip Open
The feasibility study of deep learning (DL) approaches for reliable, flexible, and high throughput wireless physical layer (PHY) has received significant interest from academia and industry. Channel estimation (CE) is one of the critical s…
View article: Low Complexity Deep Learning Augmented Wireless Channel Estimation for Pilot-Based OFDM on Zynq System on Chip
Low Complexity Deep Learning Augmented Wireless Channel Estimation for Pilot-Based OFDM on Zynq System on Chip Open
The feasibility study of deep learning (DL) approaches for reliable, flexible, and high throughput wireless physical layer (PHY) has received significant interest from academia and industry. Channel estimation (CE) is one of the critical s…
View article: Radar Enhanced Multi-Armed Bandit for Rapid Beam Selection in Millimeter Wave Communications
Radar Enhanced Multi-Armed Bandit for Rapid Beam Selection in Millimeter Wave Communications Open
Multi-arm bandit (MAB) algorithms have been used to learn optimal beams for millimeter wave communication systems. Here, the complexity of learning the optimal beam linearly scales with the number of beams, leading to high latency when the…
View article: Deep Neural Network Augmented Wireless Channel Estimation for Preamble-based OFDM PHY on Zynq System on Chip
Deep Neural Network Augmented Wireless Channel Estimation for Preamble-based OFDM PHY on Zynq System on Chip Open
Reliable and fast channel estimation is crucial for next-generation wireless networks supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) based channel estimation has been explored as an efficient al…
View article: Reconfigurable Radar Signal Processing Accelerator for Integrated Sensing and Communication System
Reconfigurable Radar Signal Processing Accelerator for Integrated Sensing and Communication System Open
IEEE 802.11ad-based integrated sensing and communications (ISAC) have been identified as a potential solution for enabling next-generation intelligent transportation systems in the millimeter wave (mmW) spectrum. The radar functionality wi…
View article: Design and Performance Analysis of Hardware Realization of 3GPP Physical Layer for 5G Cell Search
Design and Performance Analysis of Hardware Realization of 3GPP Physical Layer for 5G Cell Search Open
5G Cell Search (CS) is the first step for user equipment (UE) to initiate the communication with the 5G node B (gNB) every time it is powered ON. In cellular networks, CS is accomplished via synchronization signals (SS) broadcasted by gNB.…
View article: IEEE 802.11ad Based Joint Radar Communication Transceiver: Design, Prototype and Performance Analysis
IEEE 802.11ad Based Joint Radar Communication Transceiver: Design, Prototype and Performance Analysis Open
Rapid beam alignment is required to support high gain millimeter wave (mmW) communication links between a base station (BS) and mobile users (MU). The standard IEEE 802.11ad protocol enables beam alignment at the BS and MU through a length…
View article: Hardware Software Co-design of Statistical and Deep Learning Frameworks for Wideband Sensing on Zynq System on Chip
Hardware Software Co-design of Statistical and Deep Learning Frameworks for Wideband Sensing on Zynq System on Chip Open
With the introduction of spectrum sharing and heterogeneous services in next-generation networks, the base stations need to sense the wideband spectrum and identify the spectrum resources to meet the quality-of-service, bandwidth, and late…
View article: Deep Neural Network Augmented Wireless Channel Estimation for Preamble-based OFDM PHY on Zynq System on Chip
Deep Neural Network Augmented Wireless Channel Estimation for Preamble-based OFDM PHY on Zynq System on Chip Open
Reliable and fast channel estimation is crucial for next-generation wireless networks supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) based channel estimation has been explored as an efficient al…
View article: Hardware Software Co-design of Statistical and Deep Learning Frameworks for Wideband Sensing on Zynq System on Chip
Hardware Software Co-design of Statistical and Deep Learning Frameworks for Wideband Sensing on Zynq System on Chip Open
With the introduction of spectrum sharing and het-erogeneous services in next-generation networks, the base stations need to sense the wideband spectrum and identify the spectrum resources to meet the quality-of-service, bandwidth, and lat…
View article: Hardware Software Co-design of Statistical and Deep Learning Frameworks for Wideband Sensing on Zynq System on Chip
Hardware Software Co-design of Statistical and Deep Learning Frameworks for Wideband Sensing on Zynq System on Chip Open
With the introduction of spectrum sharing and het-erogeneous services in next-generation networks, the base stations need to sense the wideband spectrum and identify the spectrum resources to meet the quality-of-service, bandwidth, and lat…
View article: Deep Neural Network Augmented Wireless Channel Estimation on System on Chip
Deep Neural Network Augmented Wireless Channel Estimation on System on Chip Open
Reliable and fast channel estimation is crucial for next-generation wireless networks supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) based channel estimation is being explored as an efficient al…
View article: Deep Neural Network Augmented Wireless Channel Estimation for Preamble-based OFDM PHY on Zynq System on Chip
Deep Neural Network Augmented Wireless Channel Estimation for Preamble-based OFDM PHY on Zynq System on Chip Open
Reliable and fast channel estimation is crucial for next-generation wireless networks supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) based channel estimation has been explored as an efficient al…
View article: Exploiting Side Information for Improved Online Learning Algorithms in Wireless Networks
Exploiting Side Information for Improved Online Learning Algorithms in Wireless Networks Open
In wireless networks, the rate achieved depends on factors like level of interference, hardware impairments, and channel gain. Often, instantaneous values of some of these factors can be measured, and they provide useful information about …
View article: Resource Constrained Neural Networks for 5G Direction-of-Arrival Estimation in Micro-controllers
Resource Constrained Neural Networks for 5G Direction-of-Arrival Estimation in Micro-controllers Open
With the introduction of shared spectrum sensing and beam-forming based multi-antenna transceivers, 5G networks demand spectrum sensing to identify opportunities in time, frequency, and spatial domains. Narrow beam-forming makes it difficu…
View article: Multi-armed Bandit Algorithms on System-on-Chip: Go Frequentist or Bayesian?
Multi-armed Bandit Algorithms on System-on-Chip: Go Frequentist or Bayesian? Open
Multi-armed Bandit (MAB) algorithms identify the best arm among multiple arms via exploration-exploitation trade-off without prior knowledge of arm statistics. Their usefulness in wireless radio, IoT, and robotics demand deployment on edge…
View article: Multi-armed Bandit Algorithms on System-on-Chip: Go Frequentist or Bayesian?
Multi-armed Bandit Algorithms on System-on-Chip: Go Frequentist or Bayesian? Open
Multi-armed Bandit (MAB) algorithms identify the best arm among multiple arms via exploration-exploitation trade-off without prior knowledge of arm statistics. Their usefulness in wireless radio, IoT, and robotics demand deployment on edge…
View article: Multi-armed Bandit Algorithms on System-on-Chip: Go Frequentist or Bayesian?
Multi-armed Bandit Algorithms on System-on-Chip: Go Frequentist or Bayesian? Open
Multi-armed Bandit (MAB) algorithms identify the best arm among multiple arms via exploration-exploitation trade-off without prior knowledge of arm statistics. Their usefulness in wireless radio, IoT, and robotics demand deployment on edge…
View article: Reconfigurable Architecture for Spatial Sensing in Wideband Radio Front-End
Reconfigurable Architecture for Spatial Sensing in Wideband Radio Front-End Open
The deployment of cellular spectrum in licensed, shared and unlicensed spectrum demands wideband sensing over non-contiguous sub-6 GHz spectrum. To improve the spectrum and energy efficiency, beamforming and massive multi-antenna systems a…
View article: Multiplayer Bandits: A Trekking Approach
Multiplayer Bandits: A Trekking Approach Open
We study stochastic multi-armed bandits with many players. The players do not know the number of players, cannot communicate with each other and if multiple players select a common arm they collide and none of them receive any reward. We c…
View article: Reconfigurable and Intelligent Ultrawideband Angular Sensing: Prototype Design and Validation
Reconfigurable and Intelligent Ultrawideband Angular Sensing: Prototype Design and Validation Open
The emergence of beyond-licensed spectrum sharing in FR1 (0.45-6 GHz) and FR2 (24 - 52 GHz) along with the multi-antenna narrow-beam based directional transmissions demand a wideband spectrum sensing in temporal as well as spatial domains.…
View article: Toward Intelligent Reconfigurable Wireless Physical Layer (PHY)
Toward Intelligent Reconfigurable Wireless Physical Layer (PHY) Open
Next-generation wireless networks are getting significant attention because they promise 10-factor enhancement in mobile broadband along with the potential to enable new heterogeneous services. Services include massive machine type communi…
View article: Towards Intelligent Reconfigurable Wireless Physical Layer (PHY)
Towards Intelligent Reconfigurable Wireless Physical Layer (PHY) Open
Next-generation wireless networks are getting significant attention because they promise 10-factor enhancement in mobile broadband along with the potential to enable new heterogeneous services. Services include massive machine type communi…
View article: Spectral Coexistence of LDACS and DME: Analysis via Hardware Software Co-Design in Presence of Real Channels and RF Impairments
Spectral Coexistence of LDACS and DME: Analysis via Hardware Software Co-Design in Presence of Real Channels and RF Impairments Open
To meet the exponentially increasing air traffic, L-band (960-1164 MHz) digital aeronautical communication system (LDACS) has been introduced. The LDACS aims to exploit the vacant spectrum between incumbent Distance Measuring Equipment (DM…
View article: Distributed Algorithm for Dynamic Cognitive Ad-hoc Networks
Distributed Algorithm for Dynamic Cognitive Ad-hoc Networks Open
Cognitive ad-hoc networks allow users to access an unlicensed/shared spectrum without the need for any coordination via a central controller and are being envisioned for futuristic ultra-dense wireless networks. The ad-hoc nature of networ…