2000 character limit reached
The Meta Distribution of the SIR in Joint Communication and Sensing Networks (2404.01672v1)
Published 2 Apr 2024 in cs.IT, eess.SP, and math.IT
Abstract: In this paper, we introduce a novel mathematical framework for assessing the performance of joint communication and sensing (JCAS) in wireless networks, employing stochastic geometry as an analytical tool. We focus on deriving the meta distribution of the signal-to-interference ratio (SIR) for JCAS networks. This approach enables a fine-grained quantification of individual user or radar performance intrinsic to these networks. Our work involves the modeling of JCAS networks and the derivation of mathematical expressions for the JCAS SIR meta distribution. Through simulations, we validate both our theoretical analysis and illustrate how the JCAS SIR meta distribution varies with the network deployment density.
- F. Tariq, M. R. Khandaker, K.-K. Wong, M. A. Imran, M. Bennis, and M. Debbah, “A speculative study on 6G,” IEEE Wireless Commun., vol. 27, no. 4, pp. 118–125, Aug. 2020.
- E. Oughton, G. Geraci, M. Polese, and V. Shah, “Prospective evaluation of next generation wireless broadband technologies: 6G versus Wi-Fi 7/8,” Available at SSRN: https://ssrn.com/abstract=4528119, 2023.
- S. Dang, O. Amin, B. Shihada, and M.-S. Alouini, “What should 6G be?” Nature Electronics, vol. 3, no. 1, pp. 20–29, 2020.
- F. Liu, C. Masouros, A. P. Petropulu, H. Griffiths, and L. Hanzo, “Joint radar and communication design: Applications, state-of-the-art, and the road ahead,” IEEE Trans. Commun., vol. 68, no. 6, pp. 3834–3862, 2020.
- J. A. Zhang, M. L. Rahman, K. Wu, X. Huang, Y. J. Guo, S. Chen, and J. Yuan, “Enabling joint communication and radar sensing in mobile networks—A survey,” IEEE Commun. Surv. Tutor., vol. 24, no. 1, pp. 306–345, 2021.
- P. Ren, A. Munari, and M. Petrova, “Performance analysis of a time-sharing joint radar-communications network,” in 2020 International Conference on Computing, Networking and Communications (ICNC). IEEE, 2020, pp. 908–913.
- A. Salem, C. Masouros, F. Liu, and D. López-Pérez, “Rethinking dense cells for integrated sensing and communications: A stochastic geometric view,” Available as ArXiv:2212.12942, 2022.
- N. R. Olson, J. G. Andrews, and R. W. Heath Jr, “Coverage and capacity of joint communication and sensing in wireless networks,” Available as ArXiv:2210.02289, 2022.
- D. Ghozlani, A. Omri, S. Bouallegue, H. Chamkhia, and R. Bouallegue, “Stochastic geometry-based analysis of joint radar and communication-enabled cooperative detection systems,” in Proc. IEEE WiMob, 2021, pp. 325–330.
- H. Ma, Z. Wei, Z. Li, F. Ning, X. Chen, and Z. Feng, “Performance of cooperative detection in joint communication-sensing vehicular network: A data analytic and stochastic geometry approach,” IEEE Trans. Veh. Technol., vol. 72, no. 3, pp. 3848–3863, 2022.
- M. Haenggi, “The meta distribution of the SIR in Poisson bipolar and cellular networks,” IEEE Trans. Wireless Commun., vol. 15, no. 4, pp. 2577–2589, Apr. 2016.
- M. Haenggi, “Meta distributions—Part 1: Definition and examples,” IEEE Commun. Lett., vol. 25, no. 7, pp. 2089–2093, Jul. 2021.
- M. Haenggi, “Meta distributions—Part 2: Properties and interpretations,” IEEE Commun. Lett., vol. 25, no. 7, pp. 2094–2098, Jul. 2021.
- G. Ghatak, S. S. Kalamkar, and Y. Gupta, “Radar detection in vehicular networks: Fine-grained analysis and optimal channel access,” IEEE Trans. Veh. Technol., vol. 71, no. 6, pp. 6671–6681, 2022.
- S. S. Ram, S. Singhal, and G. Ghatak, “Optimization of network throughput of joint radar communication system using stochastic geometry,” Frontiers in Signal Processing, vol. 2, p. 835743, 2022.
- T. Bai, R. Vaze, and R. W. Heath, “Analysis of blockage effects on urban cellular networks,” IEEE Trans. Wireless Commun., vol. 13, no. 9, pp. 5070–5083, 2014.
- D. Shnidman, “Expanded swerling target models,” IEEE Trans. Aerosp. Electron. Syst., vol. 39, no. 3, pp. 1059–1069, 2003.
- T. Bai and R. W. Heath, “Coverage and rate analysis for millimeter-wave cellular networks,” IEEE Trans. Wireless Commun, vol. 14, no. 2, pp. 1100–1114, 2014.
- J. Gil-Pelaez, “Note on the inversion theorem,” Biometrika, vol. 38, no. 3-4, pp. 481–482, Dec. 1951.
- H. H. Yang, T. Q. S. Quek, and H. V. Poor, “A unified framework for SINR analysis in Poisson networks with traffic dynamics,” IEEE Trans. Commun., vol. 69, no. 1, pp. 326–339, Jan. 2021.
- H. H. Yang, C. Xu, X. Wang, D. Feng, and T. Q. S. Quek, “Understanding age of information in large-scale wireless networks,” IEEE Trans. Wireless Commun., vol. 20, no. 5, pp. 3196–3210, May 2021.