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Power-aware QoS-centric strategy for ultra reliable low latency communication in 5G beyond wireless networks

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Abstract

Ultra-Reliable Low Latency Communication (URLLC) is mostly used for core services in the fifth generation (5G) and beyond cellular networks. Due to the conflicting demands of low latency and extremely high reliability, the ongoing research on this subject remains in its nascent phase. The utilization of Device-to-Device (D2D) communication shows great potential in facilitating URLLC. The implementation of URLLC and its Quality of Service (QoS) requirements may encounter high power consumption in dynamic wireless channels, potentially conflicting with the system's power limitations. In this paper, a packet delivery mechanism is introduced, aiming to achieve energy efficiency by incorporating a Power-Aware QoS-centric Preemptive Dropping mechanism to minimize latency while ensuring the successful transmission of URLLC data. The method aims to optimize bandwidth and channel assignment to effectively reduce overall power consumption. The optimization problem is formulated which is non-convex, posing challenges in selecting an optimal solution. To address this problem, we have undertaken the task of transforming the original problem into two subproblems: bandwidth allocation and subchannel assignment. To achieve optimal resource allocation for the formulated problem, we propose the Optimal Bandwidth Allocation (OBA) and Optimal Sub-channel Assignment (OSA) algorithms. The simulation results validate the proposed method outperforms the benchmark schemes, demonstrating higher energy efficiency ranging from 6.96 to 31.6%, as well as a reduction in latency ranging from 5.7 to 25.67%. The proposed method exhibits broad applicability in various domains, including remote healthcare and Industrial Internet of Things (IIoT) applications.

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References

  1. Haque, M.E., Tariq, F., Khandaker, M.R.A., Wong, K.K., Zhang, Y.: A survey of scheduling in 5G URLLC and outlook for emerging 6G systems. IEEE Access. 11, 34372–34396 (2023). https://doi.org/10.1109/ACCESS.2023.3264592

    Article  Google Scholar 

  2. Wang, Y., Chen, K.-C., Gong, Z., Cui, Q., Tao, X., Zhang, P.: Reliability-guaranteed uplink resource management in proactive mobile network for minimal latency communications. IEEE Trans. Wirel. Commun. (2022). https://doi.org/10.1109/twc.2022.3231319

    Article  Google Scholar 

  3. Wu, Y., Wu, D., Yue, C., Yang, Y.: Joint reservation and contention-based access for URLLC-enabled D2D communications. IEEE Commun. Lett. 26, 212–216 (2022). https://doi.org/10.1109/LCOMM.2021.3121515

    Article  Google Scholar 

  4. Chang, B., Li, L., Zhao, G., Chen, Z., Imran, M.A.: Autonomous D2D transmission scheme in URLLC for real-time wireless control systems. IEEE Trans. Commun. 69, 5546–5558 (2021). https://doi.org/10.1109/TCOMM.2021.3075680

    Article  Google Scholar 

  5. Chandra, S., Prateek, Sharma, R., Arya, R., Cengiz, K.: QSPCA: a two-stage efficient power control approach in D2D communication for 5G networks. Intell. Converg. Netw. 2, 295–305 (2022). https://doi.org/10.23919/icn.2021.0021

    Article  Google Scholar 

  6. Yu, T., Sun, X., Cai, Y., Zhu, Z.: Secure short-packet transmission in uplink massive MU-MIMO assisted URLLC under imperfect CSI. China Commun. 2, 8 (2023). https://doi.org/10.23919/JCC.ea.2021-0067.202302

    Article  Google Scholar 

  7. Chandra, S., Prateek, Arya, R., Verma, A.K.: Lebesgue measures based power control annealing in 5G D2D networks under QoS constraints for IoT applications. Wirel. Pers. Commun. 129, 623–639 (2023). https://doi.org/10.1007/s11277-022-10116-2

    Article  Google Scholar 

  8. Kurma, S., Sharma, P.K., Singh, K., Mumtaz, S., Li, C.P.: URLLC-based cooperative industrial IoT networks with nonlinear energy harvesting. IEEE Trans. Ind. Informatics 19, 2078–2088 (2023). https://doi.org/10.1109/TII.2022.3166808

    Article  Google Scholar 

  9. Ren, H., Pan, C., Deng, Y., Elkashlan, M., Nallanathan, A.: Resource allocation for secure URLLC in mission-critical IoT scenarios. IEEE Trans. Commun. 68, 5793–5807 (2020). https://doi.org/10.1109/TCOMM.2020.2999628

    Article  Google Scholar 

  10. Muhammed, A.J., Chen, H., Seid, A.M., Han, Z., Yu, Q.: Energy-efficient resource allocation for NOMA HetNets in millimeter wave communications. IEEE Trans. Wirel. Commun. (2022). https://doi.org/10.1109/TWC.2022.3221469

    Article  Google Scholar 

  11. Nasser, A., Elnahas, O., Muta, O., Quan, Z.: Data-driven spectrum allocation and power control for NOMA HetNets. IEEE Trans. Veh. Technol. (2023). https://doi.org/10.1109/TVT.2023.3266188

    Article  Google Scholar 

  12. Li, J., Niu, Y., Wu, H., Ai, B., He, R., Wang, N., Chen, S.: Joint optimization of relay selection and transmission scheduling for UAV-aided mm-wave vehicular networks. IEEE Trans. Veh. Technol. (2023). https://doi.org/10.1109/TVT.2022.3233550

    Article  Google Scholar 

  13. Liu, B., Zhu, P., Li, J., Wang, D., Wang, Y.: Energy-efficient optimization via joint power and subcarrier allocation for eMBB and URLLC services. IEEE Wirel. Commun. Lett. 11, 2340–2344 (2022). https://doi.org/10.1109/LWC.2022.3202704

    Article  Google Scholar 

  14. Almekhlafi, M., Arfaoui, M.A., Assi, C., Ghrayeb, A.: Superposition-based URLLC traffic scheduling in 5G and beyond wireless networks. IEEE Trans. Commun. 70, 6295–6309 (2022). https://doi.org/10.1109/TCOMM.2022.3194018

    Article  Google Scholar 

  15. Darabi, M., Jamali, V., Lampe, L., Schober, R.: Hybrid puncturing and superposition scheme for joint scheduling of URLLC and eMBB traffic. IEEE Commun. Lett. 26, 1081–1085 (2022). https://doi.org/10.1109/LCOMM.2022.3149170

    Article  Google Scholar 

  16. Van Huynh, D., Nguyen, V.D., Chatzinotas, S., Khosravirad, S.R., Poor, H.V., Duong, T.Q.: Joint communication and computation offloading for ultra-reliable and low-latency with multi-tier computing. IEEE J. Sel. Areas Commun. 41, 521–537 (2023). https://doi.org/10.1109/JSAC.2022.3227088

    Article  Google Scholar 

  17. Prathyusha, Y., Sheu, T.L.: Coordinated resource allocations for eMBB and URLLC in 5G communication networks. IEEE Trans. Veh. Technol. 71, 8717–8728 (2022). https://doi.org/10.1109/TVT.2022.3176018

    Article  Google Scholar 

  18. Sanusi, I.O., Nasr, K.M., Moessner, K.: Radio resource management approaches for reliable device-to-device (D2D) communication in wireless industrial applications. IEEE Trans. Cogn. Commun. Netw. 7, 905–916 (2021). https://doi.org/10.1109/TCCN.2020.3032679

    Article  Google Scholar 

  19. Zhang, W., Derakhshani, M., Zheng, G., Chen, C.S., Lambotharan, S.: Bayesian optimization of queuing-based multi-channel URLLC scheduling. IEEE Trans. Wirel. Commun. 22, 1763–1778 (2022). https://doi.org/10.1109/TWC.2022.3206421

    Article  Google Scholar 

  20. Raviv, L.-O., Leshem, A.: Joint scheduling and resource allocation for packets with deadlines and priorities. IEEE Commun. Lett. 27, 248–252 (2022). https://doi.org/10.1109/lcomm.2022.3211337

    Article  Google Scholar 

  21. Shen, L.H., Wu, P.Y., Feng, K.T.: Energy efficient resource allocation for multi-numerology enabled hybrid services in B5G wireless mobile networks. IEEE Trans. Wirel. Commun. 22, 1712–1729 (2022). https://doi.org/10.1109/TWC.2022.3206589

    Article  Google Scholar 

  22. Zhang, W., Derakhshani, M., Lambotharan, S.: Stochastic optimization of URLLC-eMBB joint scheduling with queuing mechanism. IEEE Wirel. Commun. Lett. 10, 844–848 (2021). https://doi.org/10.1109/LWC.2020.3046628

    Article  Google Scholar 

  23. Saggese, F., Moretti, M., Popovski, P.: Power minimization of downlink spectrum slicing for eMBB and URLLC users. IEEE Trans. Wirel. Commun. 21, 11051–11065 (2022). https://doi.org/10.1109/TWC.2022.3189396

    Article  Google Scholar 

  24. Adamu, P.U., Lopez-Benitez, M., Zhang, J.: Hybrid Transmission scheme for improving link reliability in mmwave URLLC communications. IEEE Trans. Wirel. Commun. (2023). https://doi.org/10.1109/TWC.2023.3241792

    Article  Google Scholar 

  25. Sugiura, S.: Secrecy performance of eigendecomposition-based FTN signaling and NOFDM in quasi-static fading channels. IEEE Trans. Wirel. Commun. 20, 5872–5882 (2021). https://doi.org/10.1109/TWC.2021.3070891

    Article  Google Scholar 

  26. Xie, Y., Ren, P.: Optimizing training and transmission overheads for secure URLLC against randomly distributed eavesdroppers. IEEE Trans. Veh. Technol. 71, 11921–11935 (2022). https://doi.org/10.1109/TVT.2022.3194054

    Article  Google Scholar 

  27. Sun, C., She, C., Yang, C., Quek, T.Q.S., Li, Y., Vucetic, B.: Optimizing resource allocation in the short blocklength regime for ultra-reliable and low-latency communications. IEEE Trans. Wirel. Commun. 18, 402–415 (2019). https://doi.org/10.1109/TWC.2018.2880907

    Article  Google Scholar 

  28. Le, T.K., Salim, U., Kaltenberger, F.: An overview of physical layer design for ultra-reliable low-latency communications in 3GPP releases 15, 16, and 17. IEEE Access. 9, 433–444 (2021). https://doi.org/10.1109/ACCESS.2020.3046773

    Article  Google Scholar 

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The authors confirm their contribution to the paper as follows: Draft manuscript preparation and Methodology: BP; Supervision and conceptualization: RA; Formal analysis and validation: BD. All authors read and approved the final version of the manuscript.

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Correspondence to Biroju Papachary.

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Papachary, B., Arya, R. & Dappuri, B. Power-aware QoS-centric strategy for ultra reliable low latency communication in 5G beyond wireless networks. Cluster Comput (2024). https://doi.org/10.1007/s10586-024-04336-3

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