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Low-Complexity Channel Estimation and Cooperative Channel Allocation in Millimeter-Wave Small Cell Networks

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Abstract

In millimeter-wave massive multiple input multiple output (MIMO) antenna systems, channel estimation is a crucial component. In this paper, we propose a virtual channel representation channel estimation method using out-of-band spatial information to reduce training overheads. The proposed channel estimation method outperforms the exhaustive-search channel estimation method in terms of throughput performance. The proposed channel estimation also supports high throughput performance for high-speed user equipment environments unlike the existing channel estimation methods. Since the throughput performance degrades in multi-cell scenarios, we also propose a cooperative channel allocation method based on coalitional game framework. The proposed cooperative channel allocation method enhances throughput performance in mm-wave small cell networks.

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References

  1. Wang J, Zhu H, Gomes N (2012) Distributed antenna systems for mobile communications in high speed trains. IEEE J Sel Area Commun 30(4):675–683

    Article  Google Scholar 

  2. Hassibi B, Hochwald B (2003) How much training is needed in multiple-antenna wireless links. IEEE Trans Inf Theory 49(4): 951–963

    Article  Google Scholar 

  3. Heath J, Robert W (2013) What is the role of MIMO in future cellular networks: massive? Presentation delivered at IEEE Int. Conf. on Commun. (ICC)

  4. Maschietti F, Gesbert D, Kerret P, Wymeersch H (2013) Robust location-aided beam alignment in millimeter wave massive MIMO. Online: arXiv:1705.01002

  5. Hur S, Kim T, Love D, Krogmeier J, Thomas A, Ghosh A (2013) Millimeter wave beamforming for wireless backhaul and access in small cell networks. IEEE Trans Commun 61(10):4391–4403

    Article  Google Scholar 

  6. Alkhateeb A, El Ayach, Leus G, Heath W (2014) Channel estimation and hybrid precoding for millimeter wave cellular systems. IEEE J Selected Topics Signal Process 8(5):831–846

    Article  Google Scholar 

  7. Alkhateeb A, Ayach O, Leus G, Heath W (2013) Hybrid precoding for millimeter wave cellular systems with partial channel knowledge. In: Proc. Inf. theory appl. workshop (ITA), pp 1–5

  8. Ayach O, Rajagopal S, Surra S, Pi Z, Heath W (2013) Spatially sparse precoding in millimeter wave MIMO systems. In: Proc. inf. theory appl. workshop (ITA), pp 1–5

  9. Garcia N, Wymeersch H, Strom E, Slock D (2016) Location-aided mm-wave channel estimation for vehicular communication. In: IEEE 17th International workshop on signal processing advances in wireless communications (SPAWC), pp 1–5

  10. Ali A, Gonzalez-Prelcic, Heath W (2016) Estimating millimeter wave channels using out-of-band measurements. In: Proc. Inf. theory appl. (ITA) Wksp, pp 1–5

  11. Ali A, Gonzalez-Prelcic, Heath W (2018) Millimeter wave beam-selection using out-of-band spatial information. IEEE Trans Wireless Communi, 17(2)

  12. Sayeed A (2002) Deconstructing multiantenna fading channels. IEEE Trans Signal Process 50(10):2563–2597

    Article  Google Scholar 

  13. Wang Y, Tian Z, Feng S, Zhang P (2016) A fast channel estimation approach for millimeter-wave massive MIMO systems. In: Proc. IEEE Global conf. signal inf. process. Arlington

  14. Pantisano F, Ghaboosi K, Bennis M, Verdone R (2010) Interference avoidance via resource scheduling in TDD underlay femtocells. In: Proc. of the IEEE PIMRC workshop on indoor and outdoor femto cells. Istambul

  15. Chan C, Kim S, Heath R (2009) Network coordinated beamforming for cell-boundary users: linear and nonlinear approaches. IEEE J Selected Topics Signal Process 3:1094–1105

    Article  Google Scholar 

  16. Irmer R, Droste D, Marsch P, Grieger M, Fettweis G, Brueck S, Mayer H, Thiele L, Jungnickel V (2011) Coordinated multipoint: concepts, performance, and field trial results. IEEE Commun Mag, 49

  17. Zhang Z, Song L, Han Z, Saad W (2014) Coalitional games with overlapping coalitions for interference management in small cell networks. IEEE Trans Wireless Commun 13(5):2659–2668

    Article  Google Scholar 

  18. Saad W, Han Z, Debbah M, Hjorungnes A, Basar T (2009) Coalitional game theory for communication networks: a tutorial. IEEE Signal Processing Mag Special issue on Game theory in Signal Processing and Communications 26(5):77–97

    Article  Google Scholar 

  19. Saad W, Han Z, Debbah M, Hjorungnes A, Basar T (2009) A distributed coalition formation framework for fair user cooperation in wireless networks. IEEE Trans Wireless Commun 8(9):4580–4593

    Article  Google Scholar 

  20. Huang C, Sjostrom T (2006) Implementation of the recursive core for partition function form games. J Math Econ, 42

  21. Pantisano F, Bennis M, Saad W, Verdone R (2011) Latva-aho coalition formation games for femtocell interference management: a recursive core approach. In: Proc. 2011 IEEE Wireless commun. netw. conf. Cancun, pp 28–31

  22. Bogomonlaia A, Jackson M (2002) The stability of hedonic coalition structures. Games Econ Behav 38:201–230

    Article  MathSciNet  Google Scholar 

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Authors and Affiliations

  1. Department of Electronic Engineering, Kyung Hee University, 1732 Deogyeong Rd., Giheung, Yongin, 17104, South Korea

    Carlos Saavedra Arancibia & Ju Bin Song

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  1. Carlos Saavedra Arancibia
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  2. Ju Bin Song
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Correspondence to Carlos Saavedra Arancibia.

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Arancibia, C.S., Song, J.B. Low-Complexity Channel Estimation and Cooperative Channel Allocation in Millimeter-Wave Small Cell Networks. Mobile Netw Appl 26, 537–547 (2021). https://doi.org/10.1007/s11036-018-1129-5

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  • DOI: https://doi.org/10.1007/s11036-018-1129-5

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