Abstract
In order to support the new service requirements-massive ultra-reliable low-latency communications (mURLLC) in the six-generation (6G) mobile communication system, finite blocklength (FBL) information theory has been introduced. Furthermore, cell-free massive multiple input multiple output (MIMO) has emerged as one of the 6G essential promising technologies. A great quantity of distributed access points (APs) jointly serve massive user equipment (UE) at the same time-frequency resources, which can significantly improve various quality-of-service (QoS) metrics for supporting mURLLC. However, as the number of UE grows, the orthogonal pilot resources in the coherent time are insufficient. This leads to serious non-orthogonal pilot contamination and pilot allocation imbalance. Therefore, we propose an analytical cell-free massive MIMO system model and precisely characterize the error probability metric. In particular, we propose a FBL based system model, formulate and resolve the error probability minimization problem, given the latency requirement. Simulation results verify the effectiveness of the proposed scheme and show that the error probability can be improved by up to 15.9%, compared with the classic pilot allocation scheme.
Supported by the National Key R&D Program (No. 2018YFB1801102), the Natural Science Foundation of Beijing (No. L192025), the National Natural Science Foundation of China (No. 62001264), and the China Postdoctoral Science Foundation (No. 2020M680559 and No. 2021T140390).
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References
Tariq, F., et al.: A speculative study on 6G. Wirel. Commun. 27(4), 118–125 (2020)
Saad, W., Bennis, M., Chen, M.: A vision of 6G wireless systems: applications, trends, technologies, and open research problems. IEEE Netw. 34(3), 134–142 (2020)
Yang, H., et al.: Artificial-intelligence-enabled intelligent 6G networks. IEEE Netw. 34(6), 272–280 (2020)
Matthaiou, M., et al.: The road to 6G: ten physical layer challenges for communications engineers. IEEE Commun. Mag. 59(1), 64–69 (2021)
Bjrnson, E., Sanguinetti, L.: Making cell-free massive MIMO competitive with MMSE processing and centralized implementation. IEEE Trans. Wirel. Commun. 19(1), 77–90 (2020)
Buzzi, S., Andrea, C.D., Zappone, A., Elia, C.D.: User-centric 5G cellular networks: resource allocation and comparison with the cell-free massive MIMO approach. IEEE Trans. Wirel. Commun. 19(2), 1250–1264 (2020)
Ngo, H.Q., Ashikhmin, A., Yang, H., Larsson, E.G., Marzetta, T.L.: Cell-free massive MIMO versus small cells. IEEE Trans. Wirel. Commun. 16(3), 1834–1850 (2017)
Wang, D., et al.: Implementation of a cloud-based cell-free distributed massive MIMO system. IEEE Commun. Mag. 58(8), 61–67 (2020)
Attarifar, M., Abbasfar, A., Lozano, A.: Random vs structured pilot assignment in cell-free massive MIMO wireless networks. In: 2018 IEEE International Conference on Communications Workshops (ICC Workshops), Kansas City, MO, USA, pp. 1–6 (2018)
Sabbagh, R., Pan, C., Wang, J.: Pilot allocation and sum-rate analysis in cell-free massive MIMO systems. In: 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, USA, pp. 1–6 (2018)
Li, Y., Baduge, G.A.A.: NOMA-aided cell-free massive MIMO systems. IEEE Wirel. Commun. Lett. 7(6), 950–953 (2018)
Bashar, M., Cumanan, K., Burr, A. G., Debbah, M., Ngo, H. Q.: Enhanced max-min SINR for uplink cell-free massive MIMO systems. In: 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, USA, pp. 1–6 (2018)
Chen, X., et al.: Massive access for 5G and beyond. IEEE J. Sel. Areas Commun. 39(3), 615–637 (2021)
Polyanskiy, Y., Poor, H.V., Verdu, S.: Channel coding rate in the finite blocklength regime. IEEE Trans. Inf. Theory 56(5), 2307–2359 (2010)
Zhang, X., Wang, J., Poor, H.V.: Statistical delay and error-rate bounded QoS provisioning for mURLLC over 6G CF M-MIMO mobile networks in the finite blocklength regime. IEEE J. Sel. Areas Commun. 39(3), 652–667 (2021)
Caire, G., Shamai, S.: On the achievable throughput of a multiantenna Gaussian broadcast channel. IEEE Trans. Inf. Theory 49(7), 1691–1706 (2003)
Hochwald, B.M., Marzetta, T.L., Tarokh, V.: Multiple-antenna channel hardening and its implications for rate feedback and scheduling. IEEE Trans. Inf. Theory 50(9), 1893–1909 (2004)
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Li, Z., Zeng, J., Zhang, W., Zhou, S., Liu, R.P. (2022). 6G mURLLC over Cell-Free Massive MIMO Systems in the Finite Blocklength Regime. In: Gao, H., Wun, J., Yin, J., Shen, F., Shen, Y., Yu, J. (eds) Communications and Networking. ChinaCom 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 433. Springer, Cham. https://doi.org/10.1007/978-3-030-99200-2_32
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DOI: https://doi.org/10.1007/978-3-030-99200-2_32
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