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Yarkin Gevez

Bio: Yarkin Gevez is an academic researcher from University of Ontario Institute of Technology. The author has contributed to research in topics: Exergy & Engineering. The author has an hindex of 1, co-authored 2 publications receiving 1 citations.

Papers
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Journal ArticleDOI
TL;DR: This article focuses its attention on four promising physical layer concepts foreseen to dominate next-generation communications, namely massive multiple-input multiple-output systems, sophisticated multi-carrier waveform designs, reconfigurable intelligent surface-empowered communications, and physical layer security.
Abstract: Deep learning (DL) has proven its unprecedented success in diverse fields such as computer vision, natural language processing, and speech recognition by its strong representation ability and ease of computation. As we move forward to a thoroughly intelligent society with 6G wireless networks, new applications and use cases have been emerging with stringent requirements for next-generation wireless communications. Therefore, recent studies have focused on the potential of DL approaches in satisfying these rigorous needs and overcoming the deficiencies of existing model-based techniques. The main objective of this article is to unveil the state-of-the-art advancements in the field of DL-based physical layer methods to pave the way for fascinating applications of 6G. In particular, we have focused our attention on four promising physical layer concepts foreseen to dominate next-generation communications, namely massive multiple-input multiple-output systems, sophisticated multi-carrier waveform designs, reconfigurable intelligent surface-empowered communications, and physical layer security. We examine up-to-date developments in DL-based techniques, provide comparisons with state-of-the-art methods, and introduce a comprehensive guide for future directions. We also present an overview of the underlying concepts of DL, along with the theoretical background of well-known DL techniques. Furthermore, this article provides programming examples for a number of DL techniques and the implementation of a DL-based multiple-input multiple-output by sharing user-friendly code snippets, which might be useful for interested readers.

11 citations

Journal ArticleDOI
TL;DR: In this paper, a novel integrated energy system based on renewable geothermal energy source with a copper chlorine (CuCl) thermochemical cycle for hydrogen production and a multistage desalination subsystem for freshwater production is presented.

10 citations

Journal ArticleDOI
TL;DR: In this article, a novel renewable energy-based multigenerational system integrated with desalination and molten salt storage subsystems is developed, thermodynamically analyzed and holistically assessed through energy and exergy efficiencies.

7 citations

14 Nov 2022
TL;DR: In this article , the authors present a physical demonstration of an RIS-assisted communication system in an indoor environment in order to enhance the coverage by increasing the received signal power, and employ an efficient codebook design for RIS configurations to adjust the RIS states on the move.
Abstract: Reconfigurable intelligent surface (RIS)-empowered communications represent exciting prospects as one of the promising technologies capable of meeting the requirements of the sixth generation networks such as low-latency, reliability, and dense connectivity. However, validation of test cases and real-world experiments of RISs are imperative to their practical viability. To this end, this paper presents a physical demonstration of an RIS-assisted communication system in an indoor environment in order to enhance the coverage by increasing the received signal power. We first analyze the performance of the RIS-assisted system for a set of different locations of the receiver and observe around 10 dB improvement in the received signal power by careful RIS phase adjustments. Then, we employ an efficient codebook design for RIS configurations to adjust the RIS states on the move without feedback channels. We also investigate the impact of an efficient grouping of RIS elements, whose objective is to reduce the training time needed to find the optimal RIS configuration. In our extensive experimental measurements, we demonstrate that with the proposed grouping scheme, training time is reduced from one-half to one-eighth by sacrificing only a few dBs in received signal power.

4 citations


Cited by
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Journal ArticleDOI
TL;DR: In this article , the capacity optimal configuration model of integrated energy system based on the principles of cooling determining heat and heat determining electricity is established, considering energy complementary coupling characteristic and distribution ratio.

18 citations

Journal ArticleDOI
TL;DR: The vision for 6G is furnishes the world beyond 5G with the transition to 6G assuming the lead as future wireless communication technology and main impediments and challenges that the 5G–6G transition may face in achieving these greater ideals.
Abstract: The fifth-generation mobile network (5G), as the fundamental enabler of Industry 4.0, has facilitated digital transformation and smart manufacturing through AI and cloud computing (CC). However, B5G is viewed as a turning point that will fundamentally transform existing global trends in wireless communication practices as well as in the lives of masses. B5G foresees a world where physical–digital confluence takes place. This study intends to see the world beyond 5G with the transition to 6G assuming the lead as future wireless communication technology. However, despite several developments, the dream of an era without latency, unprecedented speed internet, and extraterrestrial communication has yet to become a reality. This article explores main impediments and challenges that the 5G–6G transition may face in achieving these greater ideals. This article furnishes the vision for 6G, facilitating technology infrastructures, challenges, and research leads towards the ultimate achievement of “technology for humanity” objective and better service to underprivileged people.

15 citations

Journal ArticleDOI
TL;DR: In this article , the authors investigated the use of novel packing materials to improve the performance of the humidification process and found that fine-grain foam has the maximum specific humidity difference at different operating temperatures.

14 citations

Journal ArticleDOI
TL;DR: In this article , a new poly-generation energy configuration based on Biog process is proposed and its conceptual analysis is presented, where a Rankine cycle, a water electrolysis cycle, and a multi-effect desalination (MED) unit are embedded to generate electricity, hydrogen fuel, and freshwater, respectively.

13 citations

Journal ArticleDOI
TL;DR: In this article , the authors developed the thermodynamic-conceptual design and optimization of a new energy cycle based on Sabalan geothermal wells, which is based on two flash cycles (FCs), and two bottoming cycles (a Kalina cycle (KC) and a CO 2 -based Transcritical Rankine cycle (CTRC)).
Abstract: Today, due to the increase in environmental crises and the challenges facing fossil energies, it seems necessary to exploit and use renewables. Solar and geothermal energies can be integrated as a clean and promising energy production system to produce different forms of useful energy. The existing geothermal wells in Sabalan power plant provide different thermodynamic characteristics. In this regard, this paper develops the thermodynamic-conceptual design and optimization of a new energy cycle based on Sabalan geothermal wells. The considered energy process is based on two flash cycles (FCs), and two bottoming cycles (a Kalina cycle (KC) and a CO 2 -based Transcritical Rankine cycle (CTRC)). KC and CTRC can increase the level of power generation. Besides that, in the planned energy process, heat exchangers are employed in order to reduce energetic and exergetic losses to transfer thermal energy to a liquefied natural gas cycle (LNGC). LNGC can improve the electrical energy production level. Further, it can supply natural gas (NG) to consumers in the suburbs of the power plant. Additionally, a solar energy system based on parabolic trough solar collectors (PTSCs) has been embedded in order to produce a part of the thermal energy of the energy process. In order to achieve optimal results, the genetic algorithm has been applied to optimize the energetic and exergetic performance of the considered energy process. Based on the research outcomes, the total electricity output of the designed energy process is approximately equal to 26.1 MW. Energy efficiency of almost 24.9% and exergy efficiency of nearly 53.4% are calculated for the energy cycle. Furthermore, the total exergy destroyed through the energy process is approximately 29.5 MW. Under the optimization results, the rates of energy efficiency improvement and exergy destruction reduction for mode A (with NG production) are 17.9% and 3.53%, respectively. Besides, for mode B (without NG production) the rates of energy efficiency reduction and exergy efficiency improvement are 31.7% and 22.1%, respectively. Finally, it was found that, on average, almost 112 collectors are required to supply heat based on the assumption of using solar energy.

9 citations