Abstract
The multimedia Tactile Internet is a network that provides ultra-low latency and ultra-high reliability for two-way multimedia services. Since random access in uplink dominates the delay and there exist variations in target delays and traffic volumes among connections, it is much more efficient to perform a joint uplink and downlink resource allocation. In this paper, we provide uplink random access schemes with joint uplink and downlink resource allocation with multichannel architecture for multimedia Tactile Internet. By doing so, one can significantly increase the resource utilization efficiency and improve the reliability of the multimedia Tactile Internet as well. The cores of resource management are two-fold. First, the joint resource allocation dynamically adjusts the ratio of the number of uplink channels to the number of downlink channels and performs access control based on the collision ratios and the queue lengths. Machine learning techniques such as deep reinforcement learning can be applied to maximize the throughput. Secondly, the efficient uplink random access for multichannel architecture increases the throughput, where each transmitting node selects several time slot/channel pairs based on either theory of the Finite Projective Plane, the random numbers, or the hybrid. In the performance evaluation, we compare the performance of different selection schemes for the multichannel architecture in terms of throughput for the multimedia Tactile Internet through simulation runs and analysis. The hybrid selection scheme performs the best since it has the advantages of both the Finite Projective Plane structure and random numbers. Lastly, we compare and contrast the proposed joint uplink/downlink random access scheme with other known schemes.
Similar content being viewed by others
Data Availability (Transparency)
The datasets generated or analyzed during the current study are available from the author by email. The entire manuscript belongs to the category of theoretical research, all data, i.e., figures or tables were generated from the derived mathematical formulations (equations listed in order). Simulation results along with MATLAB codes are available by email request. All data and materials generated or analyzed during the current study are available from the authors by email.
Code Availability (Software Application or Custom Code)
Related software applications or custom code during the current study are available from the authors by email.
References
Wagner, H., Winger, C., Cherif, C., & Ellinger, F. (2023). Smart glove with fully integrated textile sensors and wireless sensor frontend for the Tactile Internet. IEEE Sensors Letters. https://doi.org/10.1109/LSENS.2023.3239991
Duong, T. Q., et al. (2023). From digital twin to metaverse: The role of 6G ultra-reliable and low-latency communications with multi-tier computing. IEEE Wireless Communications. https://doi.org/10.1109/MWC.014.2200371
Joda, R., et al. (2023). The Internet of senses: Building on semantic communications and edge intelligence. IEEE Network. https://doi.org/10.1109/MNET.107.2100627
Fettweis, G. P. (2014). The tactile internet: Applications and challenges. IEEE Vehicular Technology Magazine, 9(1), 64–70.
Elsayed, M. & Erol-Kantarci, M. (2018). Deep Q-learning for low latency Tactile applications: Microgrid communications. In Proceedings IEEE Int. Conf. Communications. Control, and Computing. Technology, Smart Grids (SmartGridComm), pp. 1–6.
Ma, L. & Yi, B. K. (2018). Diversity and subcarrier index modulation based multiple access for the Tactile Internet. In Proc. IEEE GLOBECOM Workshops, pp. 1–6.
Promwongsa, N., et al. (2021). A comprehensive survey of the Tactile Internet: State-of-the-art and research directions. IEEE Communications Surveys and Tutorials, 23(1), 472–523.
Zhou, Z., Guo, Y., He, Y., Zhao, X., & Bazzi, W. M. (2019). Access control and resource allocation for M2M communications in industrial automation. IEEE Transactions on Industrial Information, 15(5), 3093–3103.
Simsek, M., Aijaz, A., Dohler, M., Sachs, J., & Fettweis, G. (2019). 5G enabled Tactile internet services. Proceedings of the IEEE, 107(2), 460–473.
Aijaz, A. (2018). Toward human-in-the-loop mobile networks: A radio resource allocation perspective on haptic communications. IEEE Transactions on Wireless Communications, 17(7), 4493–4508.
She, C. & Yang, C. (2016). Energy efficient design for Tactile Internet. In Proc. IEEE/CIC Int. Conf. Communications China (ICCC), pp. 1–6.
Avranas, A., Kountouris, M., & Ciblat, P. (2018). Energy-latency tradeoff in ultra-reliable low-latency communication with retransmissions. IEEE Journal on Selected Areas in Communications, 36(11), 2475–2485.
Lv, Y., et al. (2019). Request-based polling access: Investigation of novel wireless LAN MAC scheme for low-latency e-health applications. IEEE Communications Letters, 23(5), 896–899.
Roberts, L. G. (1975). ALOHA packet systems with and without slots and capture. ACM SIGCOM Computer Communication Review, 5(2), 28–42.
Casini, E., Gaudenzi, R. D., & Herrero, O. D. R. (2007). Contention resolution diversity slotted Aloha (CRDSA): An enhanced random access scheme for satellite access packet networks. IEEE Transactions on Wireless Communications, 6(4), 1408–1419.
Liva, G. (2011). Graph-based analysis and optimization of contention resolution Diversity slotted ALOHA. IEEE Transactions on Communications, 59(2), 477–487.
Dai, L., et al. (2018). A survey for non-orthogonal multiple access for 5G. IEEE Communications Surveys and Tutorials, 20(3), 2294–2323.
Islam, S. M. R., et al. (2017). Power domain non-orthogonal multiple access (NOMA) in 5G systems: Potential and challenges. IEEE Communications Surveys and Tutorials, 19(2), 721–742.
Ali, M. S., Tabassum, H., & Hossain, E. (2016). Dynamic user clustering and power allocation for uplink and downlink non-orthogonal multiple access (NOMA) systems. IEEE Access, 5, 565–577.
Ding, Z., et al. (2017). A survey on non-orthogonal multiple access for 5G networks: Research challenges and future trends. IEEE Journal on Selected Areas in Communications, 35(10), 2181–2195.
Mao, Y., et al. (2022). Rate-splitting multiple access: Fundamentals, survey, and future research trend. IEEE Communications Surveys and Tutorial, 24(4), 2073–2126.
Woo, T. K. (2019). FRAM: Framed ALOHA for 5G super real-time multimedia random access with packet slicing. Wireless Personal Communications, 106, 1253–1273.
Hughes, D. R., & Piper, F. C. (1973). Projective Planes. Springer-Verlag.
Bruck, R. H., & Ryser, H. J. (1949). The nonexistence of certain finite projective planes. Canadian Journal of Mathematics., 1, 88–93.
Parker, E. T. (1959). Construction of some sets of mutually orthogonal Latin squares. Proceedings of the American Mathematical Society, 10, 946–949.
Ye, N., Li, X., Yu, H., Wang, A., Liu, W., & Hou, X. (2019). Deep learning aided grant-free NOMA toward reliable low-latency access in Tactile Internet of Things. IEEE Transactions on. Industrial Informatics, 15(5), 2995–3005.
She, C. et al. (2016). Cross-layer transmission design for tactile Internet. Proceedings of IEEE GLOBECOM, pp. 1–6.
Gholipoor, N., Saeedi, H. & Mokari, N. (2018). Cross-layer resource allocation for mixed tactile Internet and traditional data in SCMA-based wireless networks. Proceedings of IEEE WCNCW, pp. 356–361.
Funding
The authors declare that no funds, grants, or other support were received from any organization.
Author information
Authors and Affiliations
Contributions
The entire paper is written by T-KW and C-HF, including the concept, modeling and simulation, mathematical analysis, and so on.
Corresponding author
Ethics declarations
Conflict of interest
The authors have no relevant financial or non-financial interests to disclose in any form.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Woo, TK., Fu, CH. Random Access with Joint Uplink/Downlink Resource Allocation for Multimedia Tactile Internet. Wireless Pers Commun 135, 323–346 (2024). https://doi.org/10.1007/s11277-024-11007-4
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-024-11007-4