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QoS-based Joint User Selection and Scheduling for MU-MIMO WLANs

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The shift in Multi-User Multiple Input Multiple Output (MU-MIMO) has gained attention due to its wide support in very high throughput Wireless Local Area Networks (WLANs) such as the 802.11ac. However, the full advantage of MU-MIMO can be utilized only with proper user selection and scheduling. Also, providing Quality of Service (QoS) support is a major challenge for these wireless networks. Generally, user scheduling is done with the acquisition of Channel State Information (CSI) from all the users. In MU-MIMO based WLANs, the number of CSI request increases with the number of users. This results in an increased CSI overhead and in degradation of the overall throughput. Most of the proposals in the literature have not addressed the contention in the CSI feedback clearly. Hence, in this paper a Joint User Selection and Scheduling (JUSS) scheme is discussed and its performance is evaluated in terms of throughput, delay, packet loss and fairness. In the performance comparison some wellknown Medium Access Control (MAC) protocols are considered. The proposed scheme not only enhances throughput, but also avoids contention during CSI feedback period.
Słowa kluczowe
EN
802.11ac   CSI   delay   MMSE   throughput  
Rocznik
Tom
Strony
17--24
Opis fizyczny
Bibliogr. 26 poz., rys., tab.
Twórcy
autor
  • Department of ECE, GMR Institute of Technology, Rajam, Andhra Pradesh, India
  • School of Electronics Engineering, VIT University, Chennai, Tamil Nadu, India
Bibliografia
  • [1] D. Tse and P. Viswanath, Fundamentals of Wireless Communication, 2 ed. Cambridge: Cambridge University Press, 2005.
  • [2] Cisco, “802.11ac: The Fifth Generation of Wi-Fi”, in Cisco White Paper, 2012, p. 125.
  • [3] E. Parahia and R. Stacey, Next generation wireless LANs: 802.11n and 802.11ac, 2 ed. Cambridge: Cambridge University Press, 2013.
  • [4] Evolved Universal Terrestrial Radio Access (E-UTRA), Downlink Multiple Input Multiple Output (MIMO) enhancement for LTE Advanced (Release 11). 3GPP TR V11.0.0., 2015 [Online]. Available: http://www.3gpp.org
  • [5] D. Srinivasa Rao and V. Berlin Hency, “QoS based Radio Resource Management Techniques for Next Generation MU-MIMO WLANs: A Survey”, J. of Telecom. Electr. and Comp. Engin., vol. 8, no. 1, pp. 97–105, 2016.
  • [6] IEEE, IEEE Std P802.11ac: Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications: enhancements for very high throughput for operation in bands below 6 GHz, 2013.
  • [7] R. Liao, B. Bellalta, M. Oliver, and Z. Niu, “MU-MIMO MAC protocols for wireless local area networks: A survey”, arXiv: 1404.1622v2 (doi: 10.1109/COMST.2014.2377373).
  • [8] H. Lou, M. Ghosh, P. Xia, and R. Olesen, “A comparison of implicit and explicit channel feedback methods for MUMIMO WLAN systems”, in Proc. 2013 IEEE 24th Ann. Inter. Symp. on Person., Indoor, and Mob. Radio Commun. PIMRC, London, UK, 2013, pp. 419–424 (doi: 10.1109/PIMRC.2013.6666172).
  • [9] X. Xie, X. Zhang, and K. Sundaresan, “Adaptive feedback compression for MIMO networks”, in Proc. of the 19th Ann. Int. Conf. on Mob. Comput. & Network. MobiCom’13, Miami, FL, USA, 2013, pp. 453–464 (doi: 10.1145/2500423.2500465).
  • [10] D. Love, R. Heath, V. Lau, D. Gesbert, B. Rao, and M. Andrews, “An overview of limited feedback in wireless communication systems”, IEEE J. on Selec. Areas in Commun., vol. 26, no. 8, pp. 1341–1365, 2008.
  • [11] V. Hassel et al., “A threshold-based channel state feedback algorithm for modern cellular systems”, IEEE Trans. on Wireless Commun., vol. 6, no. 7, pp. 2422–2426, 2007.
  • [12] A. B. Makhlouf and M. Hamdi, “Dynamic multiuser sub-channels allocation and real-ime aggregation model for IEEE 802.11 WLANs”, IEEE Trans. on Wireless Commun., vol. 13, no. 11, pp. 6015–6026 (doi: 10.1109/TWC.2014.2353611).
  • [13] G. Redieteab, L. Cariou, P. Christin, and J. F. H´elard, “PHY+MAC channel sounding interval analysis for IEEE 802.11ac MUMIMO”, in Proc. 9th IEEE Int. Symp. on Wireless Commun. Syst. ISWCS 2012, Paris, France, 2012, pp. 1054–1058 (doi: 10.1109/ISWCS.2012.6328529).
  • [14] O. Bejarano, E. Magistretti, O. Gurewitz, and E. W. Knightly, “MUTE: sounding inhibition for MU-MIMO WLANs”, in Proc. 11th Ann. IEEE Int. Conf. on Sensing, Commun., and Network. SECON, Singapore, Singapore, 2014, pp. 135–143 (doi: 10.1109/SAHCN.2014.6990336).
  • [15] T. Yoo, N. Jindal, and A. Goldsmith, “Multi-antenna downlink channels with limited feedback and user selection”, IEEE J. on Selec. Areas. in Commun., vol. 25, no. 7, 2007, pp. 1478–1491 (doi: 10.1109/JSAC.2007.070920).
  • [16] X. Xie and X. Zhang, “Scalable user selection for MU-MIMO networks”, in Proc. IEEE Int. Conf. on Comp. Commun. INFOCOM 2014, Toronto, ON, Canada, 2014, pp. 808–816 (doi: 10.1109/INFOCOM.2014.6848008).
  • [17] K. Lee and C. Kim, “User scheduling for MUMIMO transmission with active CSI feedback”, EURASIP J. on Wireless Commun. and Network., vol. 112, 2015 (doi: 10.1186/s13638-015-0331-4).
  • [18] A. Zhou, T. Wei, X. Zhang, M. Liu, and Z. Li, “Signpost: Scalable MU-MIMO signaling with zero CSI feedback”, in Proc. of the 16th ACM Int. Symp. on Mob. Ad Hoc Network. and Comput. MobiHoc’15, Hangzhou, Zhejiang, China, 2015, pp. 327–336 (doi: 10.1145/2746285.2746286).
  • [19] Y. Zhou, A. Zhou, and M. Liu, “OUS: Optimal user selection in MU-MIMO WLANs”, in Proc. Int. Conf. on Comput., Network. and Comm. ICNC 2016, Kauai, HI, USA, 2016 (doi: 10.1109/ICCNC.2016.7440681).
  • [20] S. Wu, W. Mao, and X. Wang, “Performance study on a CSMA/CAbased MAC protocol for multi-user MIMO wireless LANs”, IEEE Trans. on Wireless Commun., vol. 13, no. 6, pp. 3153–3166 (doi: 10.1109/TWC.2014.042314.131407).
  • [21] S. Huang, H. Yin, J. Wu, and V. C. M. Leung, “User selection for multiuser MIMO downlink with zero-forcing beamforming”, IEEE Trans. on Vehic. Technol., vol. 62, no. 7, pp. 3084–3097, 2013 (doi: 10.1109/TVT.2013.2244105).
  • [22] M. X. Gong, E. Perahia, R. Want, and S. Mao, “Training protocols for multi-user MIMO wireless LANs, in Proc. IEEE 21st Int. Symp. on Person. Indoor and Mob. Rad. Commun. PIMRC 2010, Istanbul, Turkey, 2010, pp. 1218–1223 (doi: 10.1109/PIMRC.2010.5672041).
  • [23] B. Bellalta, J. Barcelo, D. Staehle, A. Vinel, and M. Oliver, “On the performance of packet aggregation in IEEE 802.11ac MU-MIMO WLANs”, IEEE Commun. Lett., vol. 16, no. 10, pp. 1588–1591, 2012.
  • [24] S. Tang, “Distributed multiuser scheduling for improving throughput of wireless LAN”, IEEE Trans. on Wireless Commun., vol. 13, no. 5, pp. 2770–2781. 2014 (doi: 10.1109/TWC.2013.040214.130707).
  • [25] V. Valls and D. J. Leith, “Proportional fair MU-MIMO in 802.11 WLANs”, IEEE Wireless Commun. Lett., vol. 3, no. 2, pp. 221–224, 2014 (doi: 10.1109/WCL.2014.020314.130884).
  • [26] V. Jones and H. Sampath, “Emerging technologies for WLAN”, IEEE Commun. Mag., vol. 53, no. 3, pp. 141–49, 2015 (doi: 10.1109/MCOM.2015.7060496).
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fcf4ddab-2c3a-416b-a634-a9f4aacd7d8a
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