Asish Kumar Mukhopadhyay

Bio: Asish Kumar Mukhopadhyay is an academic researcher from American Hotel & Lodging Educational Institute. The author has contributed to research in topics: Quantum dot cellular automaton & Overlay network. The author has an hindex of 7, co-authored 34 publications receiving 132 citations. Previous affiliations of Asish Kumar Mukhopadhyay include Dr. B.C. Roy Engineering College, Durgapur & Budge Budge Institute of Technology.

Ku-band Substrate Integrated Waveguide (SIW) Slot Array Antenna for Next Generation Networks

Abstract: The design of an antenna based on Substrate Integrated Waveguide (SIW) has been realized in this paper. The structure consists of an array of slot antenna designed to operate in Kuband applications. The effect of introducing arrays of slots has been extensively studied unlike any other recent publications in this field. The basic structure has been designed over a dielectric substrate with dielectric constant of 3.2 and with a thickness of 0.782mm. The design consists of a SIW antenna fed with a microstrip to SIW transition. Multiple slot array effects have been studied and analyzed using CST Microwave Studio full wave EM Simulator which supports Finite Element Method (FEM) of computational Electromagnetics. The design has been supported with its return loss and radiation pattern characteristics to validate Ku-band operation. The effect of increasing the number of slot arrays has also been analyzed to support integration to System-on- Substrate (SoS) which promises more compact layouts.

Layered T comparator design using quantum-dot cellular automata

Abstract: Comparator is crucial block in Central Processing Unit especially in the process of “Data Searching-Sorting” where huge amount of data needs to be searched during the Database Management operations. In this work, the logic design of 1-bit Quantum Cellular Automata (QCA) comparator has been proposed using the Layered-T AND and OR Gates. The proposed comparator layout needs 9.02% less effective area compared to the best reported design so far. The effect of cell misplacements on the proposed layout is thoroughly investigated. Moreover, the other QCA design metrics such as O-Cost, CostI are calculated for the proposed 1-bit Layered T Comparator circuit. The functionality of the proposed circuit is verified by computer aided design tool QCADesigner 2.0.3.

QCA Gray Code Converter Circuits Using LTEx Methodology

Abstract: The Quantum-dot Cellular Automata (QCA) is the prominent paradigm of nanotechnology considered to continue the computation at deep sub-micron regime. The QCA realizations of several multilevel circuit of arithmetic logic unit have been introduced in the recent years. However, as high fan-in Binary to Gray (B2G) and Gray to Binary (G2B) Converters exist in the processor based architecture, no attention has been paid towards the QCA instantiation of the Gray Code Converters which are anticipated to be used in 8-bit, 16-bit, 32-bit or even more bit addressable machines of Gray Code Addressing schemes. In this work the two-input Layered T module is presented to exploit the operation of an Exclusive-OR Gate (namely LTEx module) as an elemental block. The “defect-tolerant analysis” of the two-input LTEx module has been analyzed to establish the scalability and reproducibility of the LTEx module in the complex circuits. The novel formulations exploiting the operability of the LTEx module have been proposed to instantiate area-delay efficient B2G and G2B Converters which can be exclusively used in Gray Code Addressing schemes. Moreover this work formulates the QCA design metrics such as O-Cost, Effective area, Delay and Cost α for the n-bit converter layouts.

An efficient call admission control scheme on overlay networks using fuzzy logic

Abstract: This paper proposes a call admission control (CAC) scheme for heterogeneous wireless overlay networks (WONs) that combine the benefits of the three commonly used techniques- guard channel, buffer management and priority scheduling with fuzzy logic application. The simulation results show that the scheme is extremely efficient offering a high degree of quality of service (QoS).

Towards modular binary to gray converter design using LTEx module of quantum-dot cellular automata

Abstract: A modular approach to realize the ultra-fast quantum-dot cellular automata (QCA) generic binary to gray converter is presented in this paper. The novel designs here validated fully exploit the intrinsic repetitive capabilities of the Layered T Exclusive OR (LTEx) module in the QCA domain. An efficient logic formulation of QCA design metrics like O-Cost and delay is proposed for the n-bit QCA binary to gray converter designs. The QCA implementation of n-bit LTEx binary to gray converter is compared with the conventional converters. An attempt has been made to enhance the speed of modular binary to gray converter designs. The proposed 4, 8, 16, 32, 64-bit binary to gray converters need 4.35, 15.88, 15.96, 15.7, 16.68% less O-cost and 11.57, 2.61, 9.32, 12.64, 29.25% less effective area, respectively. Thus the proposed layouts offer the smaller feature size, reduced circuit complexity exploiting the modular based design approach. The simulation results have been carried out in the renowned computer aided design tool, namely QCADesigner 2.0.3 with gallium arsenide heterostructure based parameter environment.

A Survey of Machine Learning Techniques Applied to Self-Organizing Cellular Networks

Abstract: In this paper, a survey of the literature of the past 15 years involving machine learning (ML) algorithms applied to self-organizing cellular networks is performed. In order for future networks to overcome the current limitations and address the issues of current cellular systems, it is clear that more intelligence needs to be deployed so that a fully autonomous and flexible network can be enabled. This paper focuses on the learning perspective of self-organizing networks (SON) solutions and provides, not only an overview of the most common ML techniques encountered in cellular networks but also manages to classify each paper in terms of its learning solution, while also giving some examples. The authors also classify each paper in terms of its self-organizing use-case and discuss how each proposed solution performed. In addition, a comparison between the most commonly found ML algorithms in terms of certain SON metrics is performed and general guidelines on when to choose each ML algorithm for each SON function are proposed. Lastly, this paper also provides future research directions and new paradigms that the use of more robust and intelligent algorithms, together with data gathered by operators, can bring to the cellular networks domain and fully enable the concept of SON in the near future.

Antenna Gain Enhancement by Using Low-Infill 3D-Printed Dielectric Lens Antennas

Abstract: This paper reports on the design and three-dimensional (3D) integration of low-cost, low-loss and easy-to-fabricate 3D-printed integrated lens antennas (ILAs) for 5G broadband wireless communications in the 28 GHz frequency range. The ILA designs consist of an extended hemispherical lens, fed by two different types of source antennas, a substrate integrated waveguide (SIW) slot antenna array and a microstrip patch antenna (MPA) array. Results from comprehensive parametric analyses of the infill pattern and density of the 3D printed dielectric lenses are also intensively investigated and characterized for their electromagnetic properties, e.g., electric-field distribution. The ILAs are fabricated using polylactic acid (PLA) as the fused deposition modelling (FDM) polymer with an optimized infill density of 50%, which speeds up prototyping time and decreases the relative permittivity, dielectric loss, manufacturing cost, and overall mass of the lens. These features are illustrated through experimental verification and characterization of at least three samples. From the measurement results, the ILAs achieve a fractional bandwidth of 10.7%, ranging from 26.5 to 29.4 GHz with a maximum gain of 15.6 dBi at boresight and half power beam-width of approximately 58° and 75° in the E and H planes, respectively.

A New Nano Design for Implementation of a Digital Comparator Based on Quantum-Dot Cellular Automata

Abstract: Quantum-dot is the result of elastic relaxation which has a straight relationship with the optical and electronic aspects of the quantum-dot-based devices. In nanotechnologies, Quantum-dot Cellular Automata (QCA) is a perfect transistor-less computation method where it tries to create general computation at the nanoscale with better switching frequency and enhanced scale integration to overcome the scaling shortfalls of CMOS technology. In this technology, binary information is represented based on the distribution of electron configuration in chemical molecules. Also, the comparator is the essential component in digital circuits, which takes two binary numbers as input and implements their resemblance. In this paper, a 1-bit comparator architecture in an optimized and efficient manner is suggested to bring a new phase of comparator circuit based on QCA, and then a novel 2-bit comparator structure is offered. The simulation and functionality of proposed comparators have been examined by the QCAdesigner tool, and comparison with formerly designs shows a high degree of compactness and consistent performance of proposed designs. Proposed 1-bit and 2-bit QCA comparators exhibit a delay of 0.75 and 2.75 clock cycle, occupy an active area of 0.04 and 0.19 μm2, and use 31 and 125 QCA cells, respectively.