Energy-efficient in-memory computing with 8T SRAM for arithmetic operations and signal filtering in UAV communications
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| Publicado no: | Systems Science & Control Engineering vol. 13, no. 1 (Dec 2025) |
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| Autor principal: | |
| Outros Autores: | , , , |
| Publicado em: |
Taylor & Francis Ltd.
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| Assuntos: | |
| Acesso em linha: | Citation/Abstract Full Text - PDF |
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| 001 | 3285847667 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2164-2583 | ||
| 024 | 7 | |a 10.1080/21642583.2025.2546828 |2 doi | |
| 035 | |a 3285847667 | ||
| 045 | 2 | |b d20251201 |b d20251231 | |
| 100 | 1 | |a Kumar, Sreeja S |u Electrical & Electronics Engineering, BITS Pilani Dubai Campus Dubai , Dubai , UAE | |
| 245 | 1 | |a Energy-efficient in-memory computing with 8T SRAM for arithmetic operations and signal filtering in UAV communications | |
| 260 | |b Taylor & Francis Ltd. |c Dec 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The increasing demand for data-intensive artificial intelligence and machine learning applications has exposed the limitations of traditional Von Neumann architectures, especially in resource-constrained environments like Unmanned Aerial Vehicle (UAV) communication systems. This work introduces an advanced in-memory computing model leveraging an 8T SRAM-based architecture combined with a multi-logic sense amplifier to perform arithmetic operations directly within the memory array. By embedding processing into the memory, this approach significantly reduces data transfer overhead, resulting in lower latency and improved energy efficiency – key requirements for UAV systems. Additionally, a novel lightweight and energy-efficient signal processing method is proposed. This architecture enables real-time signal filtering, effectively minimizing noise and enhancing signal integrity while meeting the compactness and scalability demands of UAV systems. Simulation results demonstrate significant reductions in power consumption and latency across a range of arithmetic operations, with robust performance maintained under varying process, voltage, and temperature conditions. This transformative design offers a practical and efficient solution for next-generation aerial communication technologies, ensuring high-quality communication and efficient data processing in critical UAV applications. | |
| 653 | |a Data transfer (computers) | ||
| 653 | |a Computation | ||
| 653 | |a Data processing | ||
| 653 | |a Signal processing | ||
| 653 | |a Computer architecture | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Arithmetic | ||
| 653 | |a Communication | ||
| 653 | |a Signal integrity | ||
| 653 | |a Unmanned aerial vehicles | ||
| 653 | |a Sense amplifiers | ||
| 653 | |a Static random access memory | ||
| 653 | |a Communications systems | ||
| 653 | |a Energy efficiency | ||
| 653 | |a Machine learning | ||
| 653 | |a Real time | ||
| 653 | |a Filtration | ||
| 700 | 1 | |a Nayak, Jagadish |u Electrical & Electronics Engineering, BITS Pilani Dubai Campus Dubai , Dubai , UAE | |
| 700 | 1 | |a Bisni Fahad Mon |u Computer & Network Engineering, United Arab Emirates University , Al Ain , UAE | |
| 700 | 1 | |a Hayajneh, Mohammad |u Computer & Network Engineering, United Arab Emirates University , Al Ain , UAE | |
| 700 | 1 | |a Najah Abu Ali |u Computer & Network Engineering, United Arab Emirates University , Al Ain , UAE | |
| 773 | 0 | |t Systems Science & Control Engineering |g vol. 13, no. 1 (Dec 2025) | |
| 786 | 0 | |d ProQuest |t Research Library | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3285847667/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3285847667/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |