Multiple antenna techniques in small cell networks

doi:10.1017/CBO9781139061421.007

5 - Multiple antenna techniques in small cell networks

Published online by Cambridge University Press: 05 May 2013

Salam Akoum ,

Marios Kountouris and

Robert W. Heath Jr.

Edited by

Tony Q. S. Quek ,

Guillaume de la Roche ,

İsmail Güvenç and

Marios Kountouris

Show author details

Salam Akoum: Affiliation:
University of Texas at Austin
Marios Kountouris: Affiliation:
Supélec (École Supérieure d'Électricité)
Robert W. Heath Jr.: Affiliation:
University of Texas
Tony Q. S. Quek: Affiliation:
Singapore University of Technology and Design
Guillaume de la Roche: Affiliation:
Mindspeed Technologies
İsmail Güvenç: Affiliation:
Florida International University
Marios Kountouris: Affiliation:
SUPÉLEC (Ecole Supérieure d'Electricité)

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Summary

Introduction

Multiple input multiple output (MIMO) communication has been established both theoretically and practically as a means to increase data rates and improve reliability in wireless networks. While single input single output (SISO) wireless communication techniques rely on time domain or frequency domain processing to precode and decode the transmitted and received data signals, multiple antenna communication provides an extra spatial dimension to improve the wireless link performance in terms of error rate, coverage, and/or spectral efficiency.

As interest in MIMO communication has grown, upcoming cellular standards have embraced using multiple antennas at the base stations (BSs) and the mobile user terminals to increase the data rates and improve the performance of the radio link [1]. Multiple antennas are also being considered in small cell networks (SCNs) and femtocell networks as a means to improve coverage and manage interference [2, 3]. The development of MIMO techniques for two-tier networks needs to take into account the specific topology of the network, characterized by irregularity in terms of deployment, operation mode (closed access vs. open access), channel state information (CSI) availability, and backhaul connectivity. In this chapter, we provide an overview of MIMO communication techniques in two-tier networks. We present the state of the art in terms of MIMO precoding and coordination techniques to manage interference in heterogeneous networks. We illustrate the various gains and the associated challenges from using linear precoding with perfect and imperfect channel state information at the transmitter (CSIT) in femtocell networks and evaluate the potential role that multi-antenna communication is bound to play in two-tier networks.

Type: Chapter
Information: Small Cell Networks
Deployment, PHY Techniques, and Resource Management
, pp. 96 - 124

DOI: https://doi.org/10.1017/CBO9781139061421.007 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2013

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References

[1] J., Lee, J.-K., Han, and J., Zhang, “MIMO technologies in 3GPP LTE and LTE-Advanced,” EURASIP J. Wirel. Commun. Netw., vol. 2009, May 2009.Google Scholar

[2] J. G., Andrews, H., Claussen, M., Dohler, S., Rangan, and M. C., Reed, “Femtocells: past, present, and future,” IEEE J. Sel. Areas Commun. (JSAC), vol. 30, no. 3, pp. 497–508, Apr. 2012.Google Scholar

[3] V., Chandrasekhar, M., Kountouris, and J. G., Andrews, “Coverage in multi-antenna two-tier networks,” IEEE Trans. Wireless Commun., vol. 8, no. 10, pp. 5314–27, Oct. 2009.Google Scholar

[4] A., Paulraj, R., Nabar, and D., Gore, Introduction to Space-time wireless Communications. Cambridge: Cambridge University Press, 2003.Google Scholar

[5] H., Bolcskei, D., Gesbert, C. B., Papadias, and A.-J., van der Veen, Space-Time Wireless Systems: From Array Processing to MIMO Communications. Cambridge: Cambridge University Press, 2006.Google Scholar

[6] H., Claussen, “Performance of macro- and co-channel femtocells in a hierarchical cell structure,” in Proc. IEEE Int. Symp. Personal, Indoor, Mobile Radio Commun. (PIMRC), Athens, Greece, Sep. 2007, pp. 1–5.Google Scholar

[7] H., Claussen, L. T. W., Ho, and L. G., Samuel, “An overview of the femtocell concept,” Bell Labs Technical J., vol. 13, no. 1, pp. 221–46, Mar. 2008.Google Scholar

[8] H. S., Jo, P., Xia, and J. G., Andrews, “Downlink femtocell networks: open or closed?” Proc. IEEE Int. Conf. on Commun. (ICC), Jun. 2011.Google Scholar

[9] D., López-Pérez, A., Valcarce, G., de la Roche, and J., Zhang, “OFDMA femtocells: a roadmap on interference avoidance,” IEEE Commun. Mag., vol. 47, no. 9, pp. 41–8, Sep. 2009.Google Scholar

[10] O., Simeone, E., Erkip, and S., Shamai, “Robust transmission and interference management for femtocells with unreliable network access,” IEEE J. Sel. Areas Commun. (JSAC), Sp. Issue on Coop. Commun. on Cellular Networks., vol. 28, no. 9, pp. 1469–78, Dec. 2010.Google Scholar

[11] C., Jiang, L. J., Cimini Jr, and N., Himayat, “Interference mitigation with MIMO precoding in femtocellular systems,” in Annual Conference on Information Sciences and Systems (CISS), Mar. 2010, pp. 1–6.Google Scholar

[12] M., Husso, J., Hamalainen, R., Jantti, J., Li, E., Mutafungwa, R., Wichman, Z., Zheng, and A., Wyglinski, “Interference mitigation by practical transmit beamforming methods in closed femtocells,” EURASIP J. Wirel. Commun. Netw., vol. 2010, Apr. 2010.Google Scholar

[13] D.-C., Oh, H.-C., Lee, and Y.-H., Lee, “Power control and beamforming for femtocells in the presence of channel uncertainty,” IEEE Trans. Veh. Technol., vol. 60, no. 6, pp. 2545–54, Jul. 2011.Google Scholar

[14] S., Park, W., Seo, Y., Kim, S., Lim, and D., Hong, “Beam subset selection strategy for interference reduction in two-tier femtocell networks,” IEEE Trans. Wireless Commun., vol. 9, no. 11, pp. 3440–9, Nov. 2010.Google Scholar

[15] S., Park, W., Seo, S., Choi, and D., Hong, “A beamforming codebook restriction for cross-tier interference coordination in two-tier femtocell networks,” IEEE Trans. Veh. Technol., vol. 60, no. 4, pp. 1651–63, May 2011.Google Scholar

[16] D., Jaramillo-Ramirez, M., Kountouris, and E., Hardouin, “Downlink beamforming in multiantenna two-tier networks with user selection,” in Proc. IEEE Global Telecommun. Conf. (GLOBECOM), Dec. 2011.Google Scholar

[17] Y., Isukapalli and B. D., Rao, “Finite rate feedback for spatially and temporally correlated MISO channels in the presence of estimation errors and feedback delay,” in Proc. IEEE Global Telecommun. Conf. (GLOBECOM), Nov. 26–30, 2007, pp. 2791–5.Google Scholar

[18] N., Jindal, “MIMO broadcast channels with partial side information,” IEEE Trans. Inf. Theory, vol. 52, no. 11, pp. 5045–60, Nov. 2006.Google Scholar

[19] T., Yoo, N., Jindal, and A., Goldsmith, “Multi-antenna downlink channels with limited feedback and user selection,” IEEE J. Sel. Areas Commun. (JSAC), vol. 25, no. 7, pp. 1478–91, Sep. 2007.Google Scholar

[20] J., Zhang, M., Kountouris, J. G., Andrews and R. W., Heath Jr. “Multi-mode transmission for the mimo broadcast channel with imperfect channel state information,” IEEE Trans. Commun., vol. 59, no. 3, pp. 803–14, Mar. 2011.Google Scholar

[21] G., Caire, N., Jindal, M., Kobayashi, and N., Ravindran, “Multiuser MIMO achievable rates with downlink training and channel state feedback,” IEEE Trans. Inf. Theory, vol. 56, no. 6, pp. 2845–66, Jun. 2010.Google Scholar

[22] S., Akoum and R. W., Heath Jr. “Limited feedback for temporally correlated MIMO channels with other cell interference,” IEEE Trans. Signal Process, vol. 58, no. 10, pp. 5219–32, Oct. 2010.Google Scholar

[23] D. J., Love, R. W., Heath Jr.V. K. N., Lau, D., Gesbert, B., Rao, and M., Andrews, “Anoverview of limited feedback in wireless communication systems,” IEEE J. Sel. Areas Commun. (JSAC), vol. 26, no. 8, pp. 1341–65, Oct. 2008.Google Scholar

[24] D., Gesbert, M., Kountouris, R., Heath, C.-B., Chae, and T., Salzer, “From single user to multiuser communications: shifting the MIMO paradigm,” IEEE Signal Process Mag, vol. 24, no. 5, pp. 36–46, Sep. 2007.Google Scholar

[25] S., Venkatesan, A., Lozano, and R., Valenzuela, “Network MIMO: overcoming intercell interference in indoor wireless systems,” in Proc. Asilomar Conf. on Signals, Systems, and Computers (ASILOMAR), Pacific Grove, CA, US, Nov. 2007, pp. 83–7.Google Scholar

[26] S. Shamai, Shitz, O., Somekh, and B., Zaidel, “Multi-cell communications: an information theoretic perspective,” Joint Workshop on Communications and Coding (JWCC), Florence, Italy, Oct. 2004.Google Scholar

[27] D., Gesbert, S. V., Hanly, H., Huang, S., Shamai, O., Simeone, and W., Yu, “Multi-cell MIMO cooperative networks: a new look at interference,” IEEE J. Sel. Areas Commun. (JSAC), vol. 28, no. 9, pp. 1380–408, Dec. 2010.Google Scholar

[28] P., Marsch and G. P., Fettweis, Coordinated Multi-Point in Mobile Communications: From Theory to Practice. Cambridge: Cambridge University Press, 2011.Google Scholar

[29] V., Cadambe and S., Jafar, “Interference alignment and degrees of freedom of the user interference channel,” IEEE Trans. Inf. Theory, vol. 54, no. 8, pp. 3425–41, Aug. 2008.Google Scholar

[30] A. M., Hunter, J. G., Andrews, and S., Weber, “Transmission capacity of ad hoc networks with spatial diversity,” IEEE Trans. Wireless Commun., vol. 7, no. 12, pp. 5058–71, Dec. 2008.Google Scholar

[31] N., Jindal, J. G., Andrews, and S., Weber, “Multi-antenna communication in ad hoc networks: achieving MIMO gains with SIMO transmission,” IEEE Trans. Commun., Feb. 2011.Google Scholar

[32] K., Huang, J. G., Andrews, D., Guo, R. W., Heath Jr. and R., Berry, “Spatial interference cancellation for multiantenna mobile ad hoc networks,” IEEE Trans. Inf. Theory, vol. 58, no. 3, pp. 1660–76, Mar. 2012.Google Scholar

[33] R. H. Y., Louie, M. R., McKay, and I. B., Collings, “Open-loop spatial multiplexing and diversity communications in ad hoc networks,” IEEE Trans. Inf. Theory, vol. 57, no. 1, pp. 317–44, Jan. 2011.Google Scholar

[34] O., Ben-Sik-Ali, C., Cardinal, and F., Gagnon, “Performance of optimum combining in a Poisson field of interferers and Rayleigh fading channels,” IEEE Trans. Wireless Commun., vol. 9, no. 8, pp. 2461–7, Aug. 2010.Google Scholar

[35] M., Kountouris and J. G., Andrews, “Downlink SDMA with limited feedback in interferencelimited wireless networks,” IEEE Trans. Wireless Commun., Aug. 2012.Google Scholar

[36] S., Weber and J. G., Andrews, Transmission Capacity of Wireless Networks, ser. Foundations and Trends in Networking. NoW Publishers, 2012.Google Scholar

[37] J. F. C., Kingman, Poisson Processes. Oxford University Press, 1993.Google Scholar

[38] D., Stoyan, W., Kendall, and J., Mecke, Stochastic Geometry and Its Applications, 2nd edn. John Wiley and Sons, 1996.Google Scholar

[39] F., Baccelli and B., Błaszczyszyn, Stochastic Geometry and Wireless Networks, Volume I — Theory, ser. Foundations and Trends in Networking. NoW Publishers, 2009.Google Scholar

[40] J. G., Andrews, F., Baccelli, and R. K., Ganti, “A tractable approach to coverage and rate in cellular networks,” IEEE Trans. Commun., vol. 59, no. 11, pp. 3122–34, Nov. 2011.Google Scholar

[41] R. W., Heath, Jr and M., Kountouris, “Modeling heterogeneous network interference,” in Proc. Inform. Theory and Appl. Workshop (ITA), Feb. 2012.Google Scholar

[42] C. C., Tan and N., Beaulieu, “On first-order Markov modeling for the Rayleigh fading channel,” IEEE Trans. Wireless Commun., vol. 48, pp. 2032–40, Dec. 2000.Google Scholar

[43] W., Turin, R., Jana, C., Martin, and J., Winters, “Modeling wireless channel fading,” in Proc. IEEE Vehicular Tech. Conf. (VTC), vol. 3, no. 4, Oct. 2001.Google Scholar

[44] R., Bhagavatula and R., Heath Jr, “Adaptive bit partitioning for multicell intercell interference nulling with delayed limited feedback,” IEEE Trans. Signal Process., vol. 59, no. 8, pp. 3824–36, Aug. 2011.Google Scholar

[45] K. K., Mukkavilli, A., Sabharwal, E., Erkip, and B., Aazhang, “On beamforming with finite rate feedback in multiple antenna systems,” IEEE Trans. Inf. Theory, vol. 49, pp. 2562–79, Oct. 2003.Google Scholar

[46] S., Zhou, Z., Wang, and G., Giannakis, “Quantifying the power loss when transmit beamforming relies on finite-rate feedback,” IEEE Trans. Wireless Commun., vol. 4, no. 4, Jul. 2005.Google Scholar

[47] “Guidelines for evaluation of radio transmission technologies for IMT-2000,” ITU Recommendation M.1225, Tech. Rep., 1997.

[48] M. K., Simon, Probability Distribution involving Gaussian Random Variables. A Handbook for Engineers, Scientists and Mathematicians. Springer, 2006.Google Scholar