Electrical Communication Engineering (ECE)
Recent Submissions
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RSMA Architectures for Downlink Communication Systems
Demand for the internet is increasing day by day, and the number of internet users is also growing drastically. Multiple access (MA) plays an important role in the fifth-generation (5G) and upcoming sixth-generation (6G) ... -
Electronic Devices using Low-Dimensional van der Waals Materials and Their Heterojunctions
As the state of the art in computation, communication and sensing advances, there is an ever-increasing search for novel materials and device architectures to satisfy the growing demands for more functionality, performance, ... -
Learning with Multi-domain and Multi-view Graph Data
In many applications, we observe large volumes of data supported on irregular (non-Euclidean) domains. In graph signal processing (GSP) and graph machine learning (GML), data is indexed using the nodes of a graph and ... -
Sequential Transfer in Multi-Armed Bandits using Reward Samples
We consider a sequential multi-task problem, where each task is modeled as a stochastic multi-armed bandit with K arms. We study the problem of transfer learning in this setting and propose algorithms based on UCB to ... -
Integrated Nanophotonic Devices Based on Van der Waals materials for Applications in Nonlinear and Quantum Photonics
Integrated photonics is a promising technology for realizing miniaturized optical systems with enhanced stability and performance for applications in light-based communication, sensing, imaging, biomedical diagnostics etc. ... -
Coding Schemes and Converse Bounds for Secure, Multi-Access, and Multi-Antenna Coded Caching Problems
With rapid advancements in technology, there is an increase in the adoption of data-hungry applications, especially entertainment services like on-demand music and video streaming and download. The high temporal variability ... -
Group Testing: A Probably Approximately Correct Analysis and Recovery Algorithms for pooled RT-qPCR
The goal of group testing, also called pool testing, is to successfully identify a set of k defectives from a population of n items using only m (< n) group tests. In each group test, a subset of the n items is tested ... -
Label Efficient and Generalizable No-reference Video Quality Assessment
No-reference (NR) video quality assessment (VQA) refers to the study of the quality of degraded videos without the need for reference pristine videos. The problem has wide applications ranging from the quality assessment ... -
Design of Placement Delivery Arrays for Shared Cache and Multi-antenna Coded Caching Problems
Caching has been considered as a promising technique to handle the exponential growth of wireless data traffic. The caches distributed across the network are utilized to shift some of the peak-hour traffic to off-peak ... -
Towards Practical High Throughput Laser-based Indoor Optical Wireless Communication Systems
Wireless communication has become an essential necessity in our day-to-day life with majority of these systems currently use radio frequency (RF) technology to transmit information. To meet the high end requirements, new ... -
Dual-Polarized Multi-Frequency Phased Antenna Array with Suppressed Higher Order Modes
5G base stations operating in sub-6 GHz frequencies typically utilize full-dimensional or 3D beamforming with precise steering, using electronically scanned phased array antennas (PAA). Additionally, Radar systems for ... -
Sparse Input View Synthesis: 3D Representations and Reliable Priors
Novel view synthesis refers to the problem of synthesizing novel viewpoints of a scene given the images from a few viewpoints. This is a fundamental problem in computer vision and graphics, and enables a vast variety of ... -
Universal and Scalable Multi-Source Energy Harvesting Power Supply with Dynamic Load Adaptation
Autonomous powering of electronic systems in applications spanning biomedical, automation, transportation and space industries relies on harvesting energy from the abundant ambient sources such as vibration, thermal, solar, ... -
Development of an Intraoperative Probe for Brain Tumour Delineation Combining Multimodal Tissue Characterization and Soft-Robotics
Accurate identification of surgical margins in brain tumors is of significant prognostic importance. Despite the availability of 5-ALA and image guidance methods, recognizing tumor boundaries is highly subjective, dependent ... -
Spectral Efficiency and Energy-efficiency Trade-off in Spectrum Sharing and RIS-based Wireless Systems
Spectral efficiency (SE) and energy-efficiency (EE) are the two key performance indicators for next-generation wireless systems. The SE specifies how much information can be communicated by the system per unit time and ... -
Design and Optimization of Cell-Free Systems: Channel Estimation, Duplexing Scheme, and Synchronization
Cell-free massive multiple-input multiple-output (CF-mMIMO) systems, where multiple access points (APs) jointly and coherently serve a large number of user-equipments (UEs) in a geographical area, offer multi-fold improvement ... -
Integrated Photonic Devices in Near-IR to Mid-IR for Agricultural and Environmental Sensing Applications
Near to mid infrared (NIR-MIR) chemical sensing is a remarkably influential analytical technique that capitalizes on the interaction between matter and infrared radiation within a specific wavelength range. Predominantly ... -
Performance Analysis of Orthogonal Time Frequency Space Modulation in High-Doppler Channels
Next generation wireless systems are envisioned to offer dependable and consistent user experience across a wide range of environments, including high-mobility scenarios involving high-speed trains, aircrafts, and ... -
Quantitative Nonlinear Optical Microscopy with Applications in Nanostructure Imaging and Cancer Biology
Quantitative Nonlinear Optical Microscopy with Applications in Nanostructure Imaging and Cancer Biology Abstract: Nonlinear optical microscopy is a powerful imaging technique that has been used for imaging for diverse ... -
Deep Learning Based Channel Estimation in Wireless Communications
Deep learning techniques which employ trained neural networks to solve problems have witnessed widespread adoption in diverse fields like medicine, architecture, robotics, autonomous vehicles, wireless communications, ...
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