mm-Wave Wearable Edge Computing Module Hosted by PRGW Structures: A Physical Layer Study
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33224
mm-Wave Wearable Edge Computing Module Hosted by PRGW Structures: A Physical Layer Study

Authors: Matthew Kostawich, Mohammed Elmorsy, Mohamed Sayed Sifat, Shoukry Shams, Mahmoud Elsaadany

Abstract:

6G communication systems represent the nominal future extension of current wireless technology, where its impact is extended to touch on all human activities including medical, security, and entertainment applications. As a result, human needs are assigned among the highest priority aspects of system design and requirements. 6G communications are expected to replace all current video conferencing with interactive virtual reality meetings involving high data-rate transmission merged with massive distributed computing resources. In addition, the current expansion of IoT applications must be mitigated by significant network changes to provide a reasonable Quality of Service (QoS). This directly implies a high demand for Human-Computer Interaction (HCI) through mobile computing modules in future wireless communication systems. This article proposes the utilization of Printed Ridge Gap Waveguide (PRGW) to host the wearable nodes. To the best of our knowledge, we propose for the first time a physical layer analysis within the context of a complete architecture. A detailed study on the impact of the distortion of the guiding structure on overall system performance is provided. The proposed structure shows small latency and small losses, highlighting it compatibility with future applications.

Keywords: Ridge Gap Waveguide, Edge Computing Module, 6G, Multimedia IoT Applications.

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 27

References:


[1] Fu Yaru, Shan Yue, Zhu Qi, Hung, Kevin, Wu Yuan, and Quek Tony Q.S ”A Distributed Microservice-aware Paradigm for 6G: Challenges, Principles, and Research Opportunities”. Early access, IEEE Network. PP. 1-1, Oct. 2023.
[2] Ericsson, “The Ericsson mobility report,” Jun. 2022.
[Online]. Available: https://www.ericsson.com/49d3a0/ assets/local/reports-papers/mobility-report/documents/2022/ ericsson-mobility-report-june-2022.pdf.
[3] T. Zhang, R. Tang, L. Chen, S. Yang, X. Liu and J. Yang, ”Ultra-Wideband Full-Metal Planar Array Antenna With a Combination of Ridge Gap Waveguide and E-Plane Groove Gap Waveguide,” in IEEE Transactions on Antennas and Propagation, vol. 70, no. 9, pp. 8051-8058, Sept. 2022
[4] T. Li and F. Fan, ”Design of Ka-band 2×2 circular polarization slot antenna array fed by ridge gap waveguide,” 2017 Sixth Asia-Pacific Conference on Antennas and Propagation (APCAP), 2017, pp. 1-3
[5] Z. Zang, A. U. Zaman and J. Yang, ”Design of Dual Circularly Polarized Inclined Slot Pair Based on Stepped-Height Ridge Gap Waveguide with Series Excitation,” 2022 16th European Conference on Antennas and Propagation (EuCAP), 2022, pp. 1-5.
[6] D. M. Pozar, Microwave Engineering, 4th ed. Hoboken, NJ, USA: Wiley, 2011.
[7] J. -Y. Deng, M. -J. Li, D. Sun, L. -X. Guo and X. -H. Ma, ”Compact Dual-Band Inverted-Microstrip Ridge Gap Waveguide Bandpass Filter,” in IEEE Transactions on Microwave Theory and Techniques, vol. 68, no. 7, pp. 2625-2632, 16, April 2020.
[8] M. Sharifi Sorkherizi and A. A. Kishk, ”Self-Packaged, Low-Loss, Planar Bandpass Filters for Millimeter-Wave Application Based on Printed Gap Waveguide Technology,” in IEEE Transactions on Components, Packaging and Manufacturing Technology, vol. 7, no. 9, pp. 1419-1431, Sept. 2017.
[9] M. S. Sorkherizi, A. Khaleghi, and P.-S. Kildal, “Direct-coupled cavity filter in ridge gap waveguide,” IEEE Trans. Compon., mode suppression,” Packag., Manuf. Technol., vol. 4, no. 3, pp. 490–495, Mar. 2014.
[10] L. Dong, H. Gao, W. Wu, Q. Gong, N. C. Dechasa and Y. Liu, ”Dependence-Aware Edge Intelligent Function Offloading for 6G-Based IoV,” in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 2, pp. 2265-2274, Feb. 2023.
[11] X. Zhou et al., ”Edge Computation Offloading With Content Caching in 6G-Enabled IoV,” in IEEE Transactions on Intelligent Transportation Systems, pp. 1-15, 2023.
[12] J. Zhang et al., ”Fine-Grained Service Offloading in B5G/6G Collaborative Edge Computing Based on Graph Neural Networks,” ICC 2022 - IEEE International Conference on Communications, Seoul, Korea, Republic of, 2022, pp. 5226-5231.
[13] W. Sun, H. Zhang, R. Wang and Y. Zhang, ”Reducing Offloading Latency for Digital Twin Edge Networks in 6G,” in IEEE Transactions on Vehicular Technology, vol. 69, no. 10, pp. 12240-12251, Oct. 2020.
[14] R. Fantacci and B. Picano, ”Edge-Based Virtual Reality over 6G Terahertz Channels,” in IEEE Network, vol. 35, no. 5, pp. 28-33, September/October 2021.
[15] P. J. Kumar, M. K. Kanth, B. Nikhil, D. H. Vardhana and V. Ganesan, ”Edge Computing in 5G for Mobile AR/VR Data Prediction and Slicing Model,” 2023 World Conference on Communication & Computing (WCONF), RAIPUR, India, 2023.
[16] T. Taleb, N. Sehad, Z. Nadir and J. Song, ”VR-Based Immersive Service Management in B5G Mobile Systems: A UAV Command and Control Use Case,” in IEEE Internet of Things Journal, vol. 10, no. 6, pp. 5349-5363, Mar. 2023.
[17] I. Kalinov, D. Trinitatova and D. Tsetserukou, ”WareVR: Virtual Reality Interface for Supervision of Autonomous Robotic System Aimed at Warehouse Stocktaking,” 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Melbourne, Australia, 2021, pp. 2139-2145
[18] Y. Cai, J. Llorca, A. M. Tulino and A. F. Molisch, ”Joint Compute-Caching-Communication Control for Online Data-Intensive Service Delivery,” in IEEE Transactions on Mobile Computing, pp. 1-18, 2023.
[19] Z. Zhao, J. Shi, Z. Li, J. Si, P. Xiao and R. Tafazolli, ”Multiobjective Resource Allocation for mmWave MEC Offloading Under Competition of Communication and Computing Tasks,” in IEEE Internet of Things Journal, vol. 9, no. 11, pp. 8707-8719, June 2022.
[20] Y. Mao, C. You, J. Zhang, K. Huang and K. B. Letaief, ”A Survey on Mobile Edge Computing: The Communication Perspective,” in IEEE Communications Surveys & Tutorials, vol. 19, no. 4, pp. 2322-2358, Fourthquarter 2017.
[21] Y. Fu, Y. Shan, Q. Zhu, K. Hung, Y. Wu and T. Q. S. Quek, ”A Distributed Microservice-aware Paradigm for 6G: Challenges, Principles, and Research Opportunities,” in IEEE Network,
[22] J. S. B. Martins et al., ”Enhancing Network Slicing Architectures With Machine Learning, Security, Sustainability and Experimental Networks Integration,” in IEEE Access, vol. 11, pp. 69144-69163, 2023.
[23] S. Wijethilaka and M. Liyanage, ”A Novel Network Slicing based Security-as-a-Service (SECaaS) Framework for Private 5G Networks,” 2022 IEEE Latin-American Conference on Communications (LATINCOM), Rio de Janeiro, Brazil, 2022, pp. 1-6,