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Colloidal Synthesis of Nanopatch Antennas for Applications in Plasmonics and Nanophotonics
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Novel Bi-UWB on-Chip Antenna for Wireless NoC
Hafedh Ibrahim Gaha1, Moez Balti1,2
1Telecommunication Department, Higher Institute of Technological Studies in Communications of Tunis (Iset'Com), El Ghazala Technopark, Ariana 2088, Tunisia.
Micromachines
|February 25, 2022
Summary
This study introduces a novel fractal antenna for wireless networks-on-chip (WiNoC) to enhance communication quality. The design improves performance by assigning exclusive sub-channels and utilizing a multi-band antenna with an advanced algorithm.
Area of Science:
- Electrical Engineering
- Computer Engineering
- Antenna Theory
Background:
- On-chip communication is critical for high-performance computing.
- Traditional wired networks-on-chip (NoC) face latency and bandwidth limitations.
- Wireless networks-on-chip (WiNoC) offer a promising alternative to overcome these challenges.
Purpose of the Study:
- To design and characterize a novel on-chip fractal antenna for WiNoC applications.
- To improve on-chip quality of service (QoS) by mitigating interference.
- To enable efficient multi-channel allocation for on-chip core communications.
Main Methods:
- Design and electromagnetic characterization of a novel fractal antenna.
- Development of an algorithm for exclusive sub-channel assignment to antennas.
- Utilizing the antenna's dual wide bands (63-78 GHz and 101-157 GHz) for communication.
Main Results:
- The proposed fractal antenna exhibits two wide operational bands (B1: 63-78 GHz, B2: 101-157 GHz).
- Exclusive sub-channel assignment effectively disseminates interference, enhancing QoS.
- The developed algorithm successfully assigns optimal upload/download sub-channels.
Conclusions:
- The novel multi-band fractal antenna design is suitable for WiNoC.
- The integrated approach of antenna design and channel allocation algorithm significantly improves WiNoC performance.
- This solution addresses key challenges in on-chip communication, paving the way for faster and more efficient computing systems.
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