Abstract
Multi-user MIMO (MU-MIMO) is an important technology to improve data transmission efficiency for future network, such as 5G and WiFi 6, due to its ability of enabling multi-users’ concurrent transmissions. To achieve concurrent diversity gains, MU-MIMO network resource allocation relies on the feedback of Channel State Information (CSI) from multiple clients. CSI feedbacks from large user population, however, heavily degrade the throughput of a MU-MIMO network. Pursuing smart CSI feedback, we present a CSI timeliness-aware balanced mechanism, named TAB. It is a novel MU-MIMO protocol to eliminate unnecessary feedback overhead and improve CSI utilization within channel coherence time. TAB is fully compatible with the WiFi 5/6 standard and most state-of-the-art CSI feedback strategies, and is easy to be deployed on existing WiFi systems. Our software-radio based implementation and testbed experimentation demonstrate that TAB substantially improves the throughput of both downlink and uplink MU-MIMO network by 1.5\(\times \) at least.
This work was supported by National Key R & D Program of China 2019YFB2102201, NSFC Grant No. 61772413, 61802299, and 61672424.
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References
Afaqui, M.S., Garcia-Villegas, E., Lopez-Aguilera, E.: IEEE 802.11ax: challenges and requirements for future high efficiency WiFi. IEEE Wirel. Commun. 24(3), 130–137 (2017)
Cai, Y., et al.: CSI feedback reduction by checking its validity period: poster. In: Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking (MobiCom 2016), pp. 469–470. ACM (2016)
Crepaldi, R., Lee, J., Etkin, R., Lee, S.J.: CSI-SF: estimating wireless channel state using CSI sampling & fusion. In: Proceedings of the 32nd IEEE Conference on Computer Communications (INFOCOM), pp. 154–162 (2012)
Duplicy, J., et al.: MU-MIMO in LTE systems. EURASIP J. Wirel. Commun. Netw. 2011(1), 1–13 (2011). https://doi.org/10.1155/2011/496763
Gast, M.: 802.11ac: A Survival Guide. O’Reilly Media, Sebastopol (2013)
Halperin, D., Hu, W., Sheth, A., Wetherall, D.: Tool release: gathering 802.11n traces with channel state information. ACM SIGCOMM Comput. Commun. Rev. 41(1), 53–53 (2011)
Fang, J., Wang, L., Qin, Z., Liu, J., Lu, B.: GCC: group-based CSI feedback compression for MU-MIMO networks. Mobile Netw. Appl. 23(3), 407–418 (2018). https://doi.org/10.1007/s11036-018-1015-1
Jiang, Z.P., et al.: Communicating is crowdsourcing: Wi-Fi indoor localization with CSI-based speed estimation. J. Comput. Sci. Technol. 29(4), 589–604 (2014). https://doi.org/10.1007/s11390-014-1452-7
Li, S., Li, D.X., Zhao, S.: 5G Internet of Things: a survey. J. Ind. Inf. Integr. 10, 1–9 (2018)
Ma, Y., Gang, Z., Shan, L.: ELiMO: eliminating channel feedback from MIMO. In: 2017 IEEE International Conference on Smart Computing (SMARTCOMP), pp. 1–8 (2017)
Ma, Y., Zhou, G., Lin, S., Chen, H.: RoFI: rotation-aware WiFi channel feedback. IEEE Internet Things J. 4(5), 1684–1695 (2017)
Mukherjee, A., Zhang, Z.: Channel State Information Compression for MIMO systems based on curve fitting, pp. 1–9 (2016)
Shen, W., Lin, K.C., Chen, M., Tan, K.: SIEVE: scalable user grouping for large MU-MIMO systems, pp. 1975–1983 (2015)
Sur, S., Pefkianakis, I., Zhang, X., Kim, K.H.: Practical MU-MIMO user selection on 802.11 ac commodity networks. In: Proceedings of the 22nd ACM Annual International Conference on Mobile Computing & Networking (MobiCom 2016), pp. 122–134. ACM (2016)
Tang, Z., Qin, Z., Zhu, M., Fang, J., Ma, H.: TOUSE: a fair user selection mechanism based on dynamic time warping for MU-MIMO networks. KSII Trans. Internet Inf. Syst. 11(9), 4398–4417 (2017)
Teng, W., Zhang, X.: Random access signaling for network MIMO uplink. In: IEEE Conference on Computer Communications (INFOCOM), pp. 1–9 (2016)
Xi, W., Ma, R., Cai, Y., Zhao, K.: Prevent CSI spoofing in uplink MU-MIMO transmission. In: Proceedings of the 1st Workshop on Context Sensing & Activity Recognition (CSAR 2015), pp. 13–18 (2015)
Xie, X., Zhang, X.: Scalable user selection for MU-MIMO networks. In: Proceedings of the 33rd IEEE Conference on Computer Communications (INFOCOM), pp. 808–816 (2014)
Xie, X., Zhang, X., Sundaresan, K.: Adaptive feedback compression for MIMO networks. In: Proceedings of the 19th Annual International Conference on Mobile Computing & Networking (MobiCom 2013), pp. 477–488 (2013)
Zhang, S., Xi, W., Xu, Q., Zhao, K., Cai, Y.: Accurate CSI estimation to eliminate unnecessary transmission for MU-MIMO networks. In: Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks (EWSN 2019), pp. 166–177. ACM, Junction Publishing, USA (2019)
Zhang, X., Sundaresan, K., Khojastepour, M.A.A., Rangarajan, S., Shin, K.G.: NEMOx: scalable network MIMO for wireless networks. In: Proceedings of the 19th Annual International Conference on Mobile Computing & Networking (MobiCom 2013), pp. 453–464. ACM (2013)
Zhou, A., Teng, W., Zhang, X., Ma, H.: Guidepost: scalable MU-MIMO user selection via indirect channel orthogonality evaluation. IEEE Trans. Mob. Comput. 18(7), 1556–1570 (2018)
Zhou, A., Wei, T., Zhang, X., Liu, M., Li, Z.: Signpost: scalable MU-MIMO signaling with zero CSI feedback. In: Proceedings of the 16th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2015), pp. 327–336 (2015)
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Xu, Q., Xi, W., Han, L., Zhao, K. (2021). TAB: CSI Lossless Compression for MU-MIMO Network. In: Gao, H., Wang, X., Iqbal, M., Yin, Y., Yin, J., Gu, N. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 349. Springer, Cham. https://doi.org/10.1007/978-3-030-67537-0_7
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