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Risk-Aware and Energy-Efficient AoI Optimization for Multi-Connectivity WNCS with Short Packet Transmissions (2312.15454v2)

Published 24 Dec 2023 in cs.IT, cs.SY, eess.SY, and math.IT

Abstract: Age of Information (AoI) has been proposed to quantify the freshness of information for emerging real-time applications such as remote monitoring and control in wireless networked control systems (WNCSs). Minimization of the average AoI and its outage probability can ensure timely and stable transmission. Energy efficiency (EE) also plays an important role in WNCSs, as many devices are featured by low cost and limited battery. Multi-connectivity over multiple links enables a decrease in AoI, at the cost of energy. We tackle the unresolved problem of selecting the optimal number of connections that is both AoI-optimal and energy-efficient, while avoiding risky states. To address this issue, the average AoI and peak AoI (PAoI), as well as PAoI violation probability are formulated as functions of the number of connections. Then the EE-PAoI ratio is introduced to allow a tradeoff between AoI and energy, which is maximized by the proposed risk-aware, AoI-optimal and energy-efficient connectivity scheme. To obtain this, we analyze the property of the formulated EE-PAoI ratio and prove the monotonicity of PAoI violation probability. Interestingly, we reveal that the multi-connectivity scheme is not always preferable, and the signal-to-noise ratio (SNR) threshold that determines the selection of the multi-connectivity scheme is derived as a function of the coding rate. Also, the optimal number of connections is obtained and shown to be a decreasing function of the transmit power. Simulation results demonstrate that the proposed scheme enables more than 15 folds of EE-PAoI gain at the low SNR than the single-connectivity scheme.

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References (40)
  1. S. Kaul, R. Yates and M. Gruteser, “Real-time status: How often should one update?” in Proc. IEEE INFOCOM, Orlando, FL, USA, Mar. 2012, pp. 2731-2735.
  2. A. Kosta, N. Pappas, V. Angelakis, “Age of Information: A new concept, metric, and tool,” Now Foundations and Trends, 2017, 12: 162-259.
  3. J. P. Champati, M. H. Mamduhi, K. H. Johansson and J. Gross, “Performance Characterization Using AoI in a Single-loop Networked Control System,” in proc. IEEE INFOCOM WKSHPS, Paris, France, Apr. 2019, pp. 197-203.
  4. B. Zhou, W. Saad, M. Bennis and P. Popovski, “Risk-Aware Optimization of Age of Information in the Internet of Things,” in proc. IEEE ICC, Dublin, Ireland, 2020, pp. 1-6.
  5. J. F. Grybosi, J. L. Rebelatto, G. L. Moritz and Y. Li, “Age-Energy Tradeoff of Truncated ARQ Retransmission With Receiver Diversity,” IEEE Wireless Communications Letters, vol. 9, no. 11, pp. 1961-1964, 2020.
  6. A. M. Bedewy, Y. Sun and N. B. Shroff, “Minimizing the age of information through queuesl servers,” IEEE Trans. Inf. Theory, vol. 65, no. 8, pp. 5215-5232, 2019.
  7. C. Kam, S. Kompella, G. D. Nguyen and A. Ephremides, “Effect of message transmission path diversity on status age,” IEEE Trans. Inf. Theory, vol. 62, no. 3, pp. 1360-1374, Mar. 2016.
  8. R. D. Yates, “Age of information in a network of preemptive servers,” in proc. IEEE INFOCOM WKSHPS, Honolulu, HI, USA, Apr. 2018, 118-123.
  9. R. D. Yates, “Status updates through networks of parallel servers,” in proc. IEEE ISIT, Honolulu, HI, USA, Apr. 2018 2281-2285.
  10. F. Chiariotti, O. Vikhrova, B. Soret and P. Popovski, “Peak Age of Information Distribution for Edge Computing With Wireless Links,” IEEE Transactions on Communications, vol. 69, pp. 3176-3191, 2021.
  11. L. Hu, Z. Chen, Y. Dong, Y. Jia, L. Liang and M. Wang, “Status Update in IoT Networks: Age-of-Information Violation Probability and Optimal Update Rate,” IEEE Internet of Things J., vol. 8, no. 14, pp. 11329-11344, 2021.
  12. M. K. Abdel-Aziz, S. Samarakoon, C. -F. Liu, M. Bennis and W. Saad, “Optimized Age of Information Tail for Ultra-Reliable Low-Latency Communications in Vehicular Networks,” IEEE Transactions on Communications, vol. 68, no. 3, pp. 1911-1924, 2020.
  13. Y. Polyanskiy, H. V. Poor and S. Verdu, “Channel coding rate in the finite blocklength regime,” IEEE Trans. Inf. Theory, vol. 56, no. 5, pp. 2307-2359, 2010.
  14. R. Wang, Y. Gu, H. Chen, Y. Li and B. Vucetic, “On the age of information of short-packet communications with packet management,” in proc. IEEE GLOBECOM, 2019. pp. 1-6.
  15. B. Yu, Y. Cai, X. Diao and Y. Chen, “AoI Minimization Scheme for Short Packet Communications in the Energy-Constrained IIoT,” IEEE Internet of Things J., Early Access, 2023.
  16. B. Yu, Y. Cai, D. Wu and Z. Xiang, “Average age of information in short-packet-based machine type communication,” IEEE Trans. Veh. Technol., vol. 69, no. 9, pp. 10306-10319, 2020.
  17. B. Han, Y. Zhu, Z. Jiang, Y. Hu, and H. D. Schotten, “Optimal blocklength allocation towards reduced age of information in wireless sensor networks,” in proc. IEEE GLOBECOM WKSHPS, 2019. 1–6.
  18. J. Östman, R. Devassy, G. Durisi, and E. Uysal, “Peak-age violation guarantees for the transmission of short packets over fading channels,” in proc. IEEE INFOCOM WKSHPS, Paris, France, 2019, pp. 109–114.
  19. G. Durisi, G. C. Ferrante, O. Simeone and E. Uysal, “Reliable transmission of short packets through queues and noisy channels under latency and peak-age violation guarantees,” IEEE J. Sel. Areas Commun., vol. 37, no. 4, pp. 721-734, 2019.
  20. A. Arafa, K. Banawan, K. G. Seddik and H. V. Poor, “On Timely Channel Coding with Hybrid ARQ,” in proc. IEEE GLOBECOM, Waikoloa, HI, USA, Dec. 2019, pp. 1-6.
  21. A. Arafa and R. D. Wesel, “Timely Transmissions Using Optimized Variable Length Coding,” in proc. IEEE INFOCOM WKSHPS, virtual, Apr. 2021, pp. 1-6.
  22. J. Cao, X. Zhu, Y. Jiang, Z. Wei and S. Sun, “Information Age-Delay Correlation and Optimization with Finite Block Length,” IEEE Trans. Commun., vol. 69, no. 11, pp. 7236-7250, Nov. 2021.
  23. J. Cao, X. Zhu, S. Sun, Y. Jiang, Z. Wei and V. K. N. Lau, “Multiplexing or Diversity: AoI-Oriented Short-Packet Transmission Over Fading Channels,” IEEE Trans. Commu., vol. 71, no. 2, pp. 757-772, Feb. 2023.
  24. H. Jiang, X. Zhu, Y. Jiang, “The Probability Distribution of AoI for Multi-Connectivity Short-Packet Transmission in Industrial IoT,” in proc. IEEE ICC WKSHPS, Rome, Italy, 2023.
  25. Y. Gu, H. Chen, Y. Zhou, Y. Li and B. Vucetic, “Timely Status Update in Internet of Things Monitoring Systems: An Age-Energy Tradeoff,” IEEE Internet Things J., vol. 6, no. 3, pp. 5324-5335, 2019.
  26. J. Gong, J. Zhu, X. Chen and X. Ma. Sleep, “Sense or Transmit: Energy-Age Tradeoff for Status Update With Two-Threshold Optimal Policy,” IEEE Trans. Wirel. Commun., vol. 21, no. 3, pp. 1751-1765, 2022.
  27. L. Zhang, L. Yan, Y. Pang and Y. Fang, “FRESH: FReshness-Aware Energy-Efficient Scheduler for Cellular IoT Systems,” in proc. IEEE ICC, Shanghai, China, May 2019, pp. 1-6.
  28. X. Cao, J. Wang, Y. Cheng and J. Jin, “Optimal Sleep Scheduling for Energy-Efficient AoI Optimization in Industrial Internet of Things,” IEEE Internet of Things J., vol. 10, no. 11, pp. 9662-9674, 2023.
  29. H. Hu, Y. Dong, Y. Jiang, Q. Chen and J. Zhang, “On the Age of Information and Energy Efficiency in Cellular IoT Networks With Data Compression,” IEEE Internet of Things J., vol. 10, no. 6, pp. 5226-5239, 2023.
  30. H. Huang, D. Qiao and M. C. Gursoy, “Age-Energy Tradeoff Optimization for Packet Delivery in Fading Channels,” IEEE Trans. Wirel. Commun., vol. 21, no. 1, pp. 179-190, 2022.
  31. M. Xie, J. Gong, X. Jia and X. Ma, “Age and Energy Tradeoff for Multicast Networks With Short Packet Transmissions,” IEEE Trans. Commun., vol. 69, no. 9, pp. 6106-6119, 2021.
  32. Y. Hu, J. Gross and A. Schmeink, “On the Performance Advantage of Relaying Under the Finite Blocklength Regime,” IEEE Commun. Lett., vol. 19, no. 5, pp. 779-782, 2015.
  33. L. Scheuvens, T. Hößler, P. Schulz, N. Franchi, A. N. Barreto and G. P. Fettweis, “State-Aware Resource Allocation for Wireless Closed-Loop Control Systems,” IEEE Transactions on Communications, vol. 69, no. 10, pp. 6604-6619, 2021.
  34. K. Chen and L. Huang, “Age-of-information in the presence of error,” in proc. IEEE ISIT, Barcelona, Spain, Jul. 2016, pp. 2579-2583.
  35. X. Wang, C. Chen, J. He, S. Zhu and X. Guan, “AoI-Aware Control and Communication Co-Design for Industrial IoT Systems,” IEEE Internet of Things J., vol. 8, no. 10, pp. 8464-8473, 2021.
  36. M. Costa, M. Codreanu and A. Ephremides, “On the age of information in status update systems with packet management,” IEEE Trans. Inf. Theory, vol. 62, no. 4, pp. 1897-1910, Apr. 2016.
  37. K. Huang, W. Liu, Y. Li, B. Vucetic and A. Savkin, “Optimal Downlink–Uplink Scheduling of Wireless Networked Control for Industrial IoT,” IEEE Internet of Things J., vol. 7, no. 3, pp. 1756-1772, Mar. 2020.
  38. L. Huang and E. Modiano, “Optimizing age-of-information in a multi-class queueing system,” in proc. IEEE ISIT, Hong Kong, China, June 2015, pp. 1681-1685.
  39. A. Zappone and E. Jorswieck, “Energy efficiency in wireless networks via fractional programming theory,” Found. Trends Commun. Inf. Theory, vol. 11, no. 3–4, pp. 185–396, 2015.
  40. I. J. Lusting and R. E. Marsten, “Interior point methods for linear programming: Computational state of the art,” ORSA J. Comput., vol. 6, no. 1, pp. 1–14, 1994.

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