Browsing by Author "Muthuchidambaranathan, P"

Now showing 1 - 4 of 4
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    A new green prospective of non-orthogonal multiple access (NOMA) for 5G
    (MDPI AG, 2020-02-07) Basnayake, Vishaka; Jayakody, Dushantha Nalin K.; Sharma, Vishal; Sharma, Nikhil; Muthuchidambaranathan, P; Mabed, Hakim
    Energy efficiency is a major concern in the emerging mobile cellular wireless networks since massive connectivity is to be expected with high energy requirements from the network operators. Non-orthogonal multiple access (NOMA) being the frontier multiple access scheme for 5G, there exists numerous research attempts on enhancing the energy efficiency of NOMA enabled wireless networks while maintaining its outstanding performance metrics such as high throughput, data rates and capacity maximized optimally. The concept of green NOMA is introduced in a generalized manner to identify the energy efficient NOMA schemes. These schemes will result in an optimal scenario in which the energy generated for communication is managed sustainably. Hence, the effect on the environment, economy, living beings, etc is minimized. The recent research developments are classified for a better understanding of areas which are lacking attention and needs further improvement. Also, the performance comparison of energy efficient, NOMA schemes against conventional NOMA is presented. Finally, challenges and emerging research trends, for energy efficient NOMA are discussed.
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    An intelligent age of information based self-energized UAV-assisted wireless communication system
    (John Wiley and Sons Inc, 2023-10-14) Jeganathan, Anandpushparaj; Dhayabaran, Balaji; Jayakody, Dushantha Nalin K; Don, Sanjaya Arunapriya Ranchagodage; Muthuchidambaranathan, P
    Internet-of-things is an enabling technology in the fourth-generation industrial revolution. The freshness of the data sent by a sensor node (SN) is an important parameter in the Internet-of-things, unlike the throughput in cellular communications. A relatively new performance metric named age of information (AoI) is used in this paper to quantify the freshness of the data. The SN, located in the transport infrastructure, harvests energy from radio frequency signals transmitted by the FD-UAV. This is used to transmit real-time sensor observations to the data sink via FD-UAV. The SN generates an update after replenishing the battery and transmits it by using the harvested energy. A closed-form expression for average AoI is derived as a function of time allocated for energy harvesting. The optimal time allocation for energy harvesting that maximizes the freshness of data update is identified. A deep learning technique namely long-short term memory is used to predict the average AoI. Simulation results demonstrate the usefulness of the performance bounds in terms of the freshness of data updates.
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    Design of Hybrid Precoder for mm-Wave MIMO System Based on Generalized Triangular Decomposition Method
    (Polska Akademia Nauk, 2022-09-06) Thurpati, Sammaiah; Muthuchidambaranathan, P
    Hybrid precoding techniques are lately involved a lot of interest for millimeter-wave (mmWave) massive MIMO systems is due to the cost and power consumption advantages they provide. However, existing hybrid precoding based on the singular value decomposition (SVD) necessitates a difficult bit allocation to fit the varying signal-to-noise ratios (SNRs) of altered sub-channels. In this paper, we propose a generalized triangular decomposition (GTD)-based hybrid precoding to avoid the complicated bit allocation. The development of analog and digital precoders is the reason for the high level of design complexity in analog precoder architecture, which is based on the OMP algorithm, is very non-convex, and so has a high level of complexity. As a result, we suggest using the GTD method to construct hybrid precoding for mmWave mMIMO systems. Simulated studies as various system configurations are used to examine the proposed design. In addition, the archived findings are compared to a hybrid precoding approach in the classic OMP algorithm. The proposed Matrix Decomposition’s simulation results of signal-to-noise ratio vs spectral efficiencies.
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    Revolutionizing Firefighting: UAV-Based Optical Communication Systems for Wildfires
    (Multidisciplinary Digital Publishing Institute (MDPI), 2024-07-11) Ali, Mohammad Furqan; Jayakody, Dushantha Nalin K.; Muthuchidambaranathan, P
    Wildfires are one of the most devastating natural disasters in the world. This study proposes an innovative optical wildfire communication system (OWC) that leverages advanced optical technologies for wildfire monitoring and seamless communication towards the 5G and beyond (5GB) wireless networks. The multi-input–multi-output (MIMO) optical link among communication nodes is designed by gamma–gamma (GG) distribution under consideration of intensity modulation and direct-detection (IM/DD) following an on–off-keying (OOK) scheme. In this study, the performance metrics of the proposed MIMO link that enables unmanned aerial vehicles (UAVs) are analytically derived. The end-to-end (E2E) performance metrics and the novel closed-form expressions for the average BER (ABER) and outage probability ((Formula presented.)) are investigated for the proposed system models. Furthermore, the simulation results are obtained based on the real experimental data. The obtained results in this study are improved spatial resolution and accuracy, enabling the detection by communication of even small-scale wildfires at their inception stages. In the further perspective of this research, the development of the proposed system holds the potential to revolutionize wildfire prevention and control efforts, making a substantial impact on safeguarding ecosystems, communities, and economies from the devastating effects of fires.