Faculty Publications

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    A Review of mm-Wave Power Amplifiers for Next-Generation 5G Communication
    (Springer, 2020) Gorre, P.; Vignesh, R.; Arya, R.; Kumar, S.
    In this paper, a review study of millimeter wave-based power amplifiers for 5G communication is presented. This literature mainly focuses on major component of the RF transceiver IC, i.e., power amplifier (PA). The upcoming 5G communication envisioned broadband modulation, high speed data rate, and new integration technologies which could overcome key challenges in the design of mobile devices and communication buildings. The power amplifiers in the 5G base station require high output powers (ranging from 2 to 10 W), high efficiency (up to 95%), and high gain (up to 40 dB). The basic building blocks, device technologies, architecture of RF power amplifiers, and parametric performances will be considered in this review. This study reviewed all device technologies (especially IV and III-V semiconductor technologies) for power amplifiers and found that a gallium nitride (GaN)-based PA is the best candidate to provide high output power, high efficiency, and high back-off power. In addition, various architectures of PAs have been reported while doherty power amplifier is one of best candidate for 5G base station. © 2020, Springer Nature Singapore Pte Ltd.
  • Item
    Lagrange's multiplier based resource management for energy efficient D2D communication in 5G networks
    (Springer, 2023) Pandey, K.; Arya, R.; Kumar, S.
    Device to device communication is the predominantly renowned trait for the 5G network and IoT applications. In the work, proposed novel joint low power/energy efficient resource allocation with mode selection for the D2D communication underlay in-band with transmit power, interference, data rate constraints are investigated with formulation of a novel problem which integrates the three major modules (resource management, mode selection, and power management) of D2D communication into one. To achieve the low power/energy efficient resource allocation with mode selection, we formulate novel optimization problem with objective of maximizing the energy efficiency using the subtractive form method to solve fractional objective function and form an iterative algorithm. The formulated fractional optimization problem is transformed into min–max problem and solved by the Lagrange dual function with low transmit power, interference, data rate constraints as a lagrange multipliers via an iterative process to achieve the optimal low power. Numerical analysis exemplifies and validates the optimal low power and the energy efficient characteristics of the novel proposed algorithm with all constraints to ensure the quality of the communication for the D2D communication, 5G, and IoT applications with the industrial need of low power/energy efficient devices to promote the conservation of energy and green communication. © 2021, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.