http://13.232.72.61:8080/jspui/handle/123456789/377 2026-04-03T18:21:43Z 2026-04-03T18:21:43Z Sinha, Himanshu Kumar Saurabh, Abhishek Anand, Kumar Pradhan, Devasis http://13.232.72.61:8080/jspui/handle/123456789/7606 2023-09-27T10:51:13Z 2023-05-01T00:00:00Z

Title: PAPR Detection Using TR and Clipping & Filtering (CF)-Reduction Technique for 5G Communication System (5G-CS): Comparative Analysis Authors: Sinha, Himanshu Kumar; Saurabh, Abhishek; Anand, Kumar; Pradhan, Devasis Abstract: The multi-carrier system is the primary system under a sophisticated 5G communication infrastructure, but Smart Grids (SGs) expedite secure, large-scale, and efficient two-way communication between the power supply and management. One of the most significant limitations of the 5G multi-carrier (MC) system is the high peak-to-average power ratio (PAPR), which prevents the effective design of the 5G analog front end. Tone reservation (TR) is a method for PAPR reduction that maximizes efficiency while minimizing signal distortion by expanding frequency domain freedom. In this paper the performance analysis has been done between TR and Clipping-Filtering Technique for 5G Communication System. TR predistribution and freedom in the frequency domain are subjected to a probabilistic analysis in relation to the amplitude of its constituent samples. Description: use only for academic purpose

2023-05-01T00:00:00Z Pradhan, Devasis Varshney, Atul Singh, Simerpreet http://13.232.72.61:8080/jspui/handle/123456789/7605 2023-09-27T10:50:37Z 2023-05-01T00:00:00Z

Title: A Critical Review on Challenges and Limitations in Artificial Intelligence-Based e-Health Applications Authors: Pradhan, Devasis; Varshney, Atul; Singh, Simerpreet Abstract: Artificial intelligence (AI) has the potential to transform healthcare by providing intelligent decision-making support and automating certain tasks. However, AI-based e-health applications face several challenges and limitations that must be addressed. This review highlights some challenges, including data quality and availability, ethical and legal implications, privacy and security concerns, regulatory frameworks and standards, and a shortage of skilled professionals. Addressing these challenges is crucial to ensure the effectiveness, safety, and ethical use of AI-based e-health applications. This review underscores the importance of developing AI-based e-health solutions focusing on ethical considerations, privacy and security, and regulatory compliance to improve healthcare outcomes while protecting patient privacy and security. Description: use only for academic purpose

2023-05-01T00:00:00Z Pawar, Pradeep R Patil, Prajwal Jain, Praneeth P Manoranjan, K V Pradhan, Devasis Dash, A http://13.232.72.61:8080/jspui/handle/123456789/6026 2022-11-25T06:57:27Z 2022-01-01T00:00:00Z

Title: Comparative study between energy detection method and matched filter detection for spectrum sensing in intelligent network intended towards 3g/4g/volte. Authors: Pawar, Pradeep R; Patil, Prajwal; Jain, Praneeth P; Manoranjan, K V; Pradhan, Devasis; Dash, A Abstract: Range shortage has been the serious issue in this computerized world, as there is an outstanding expansion in the remote gadgets. Likewise, there is under-usage of dispensed range by the essential clients (PU). This issue can be overwhelmed by a clever radio organization called Cognitive Radio (CR). The CR helps in recognizing the inactive range in the climate and in this way apportioning it to the Secondary Users (SU). Range Sensing assumes the crucial part in the Cognitive Radio to dispense the inactive range for SU. The major and noticeable range detecting techniques incorporate Energy Based Detection (EBD), Matched Filter Detection (MFD), Cyclostationary Feature Detection (CFD), Covariance Based Detection (CBD) and Wavelet Based Detection (WBD). This paper examines similar examination between Energy Based Detection and Matched Filter Detection for range detecting. In energy discovery technique the force unearthly thickness of got signal is contrasted and fixed worth characterized by beneficiary design though, match channel recognition dependent on unique distribution. Description: use only for the academic purpose

2022-01-01T00:00:00Z Pradhan, Devasis Dash, A. Tun, Hla Myo Wah, Naw Khu Say http://13.232.72.61:8080/jspui/handle/123456789/5898 2022-10-22T10:25:54Z 2022-09-01T00:00:00Z

Title: Improvement of Capacity and QoE: Distributed Massive MIMO (DM-MIMO) Technology-5G Authors: Pradhan, Devasis; Dash, A.; Tun, Hla Myo; Wah, Naw Khu Say Abstract: Distributed massive MIMO is an arising answer for improve 5G limit, throughput, and QoE inside. There are various ways to advance indoor execution. The indoor cell network should have totally different qualities and needs from its outside partner, yet a consistent encounter should be kept up with while moving between the two. New arrangements, like small cells and distributed antenna systems (DAS), have been added to every portable age to work on the presentation and quality of experience (QoE) for indoor clients. Notwithstanding, the goal lines are moved with each new age of purpose cases, and, surprisingly, more significant levels of execution and QoE are required. The improvement in the indoor experience needed in the 5G period should be extensive. The 5G guidelines empower the organizations to help tremendous quantities of clients or associated gadgets in little spaces (up to 1 million for each square kilometer), while consuming information at multi-gigabit speeds and with low idleness and high unwavering quality. This paper give a brief review on improvement in channel capacity and QoE using massiveness of MIMO technology for 5G environment in distributed manner. Description: use only for the academic purpose

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