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Hernandez Aquino, R; Zaidi, SAR; McLernon, D; Ghogho, M (2015)
Publisher: IEEE
Languages: English
Types: Article
In this paper, the energy efficiency (EE) of different MIMO diversity schemes is analyzed for the downlink of a two-tier network consisting of both macro- and femto-cells. The locations of the base stations (BSs) in both tiers are modeled by spatial Poisson point processes (PPPs). The EE of the system in b/J/Hz is obtained for different antenna configurations under various diversity schemes. Adaptive modulation is employed to maximize both the throughput and the EE across both tiers. Borrowing well established tools from stochastic geometry, we obtain closed-form expressions for the coverage, throughput, and power consumption for a two tier rate adaptive cellular network. Building on the developed analytical framework, we formulate the resource allocation problem for each diversity scheme with the aim of maximizing the network-wide EE while satisfying a minimum QoS in each tier. We consider that both the number of antennas and the spectrum allocated to each tier constitute the network resource which must be efficiently selected for both tiers to maximize network-wide performance. The best performance in terms of the EE is provided by the schemes which strike a good balance between the achievable maximum throughput and the consumed power (both increasing with the number of RF chains used). In addition, the potential savings in EE by using femto-cells with sleeping mode capabilities are analyzed. It is observed that, when the density of active co-channel femto-cells exceeds a certain threshold, the EE of the system can be significantly improved by sleep scheduling.
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    • [1] Z. Hasan, H. Boostanimehr, and V. K. Bhargava, “Green cellular
    • munications Surveys and Tutorials, vol. 13, no. 4, pp. 524 - 540, 2011.
    •  [2] A. Damnjanovi, J. Montojo, Y. Wei, T. Ji, T. Luo, M. Vajapeyam, T. Yoo,
    • du  O. Song, and D. Malladi, “A survey on 3gpp heterogeneous networks,”
    • 1  IEEE Wireless Communications, vol. 18, no. 3, pp. 10 - 21, June 2011. s−δm 1 + u δm  [3] S. Cui, A. J. Goldsmith, and A. Bahai, “Energy-efficiency of mimo
    • {z } and cooperative mimo techniques in sensor networks,” IEEE Journal ζ(s,αm) on Selected Areas in Communications, vol. 22, no. 6, pp. 1089 - 1098,
    • August 2004. [4] D. Feng, G. Lim, L. J. Cimini, G. Feng, and G. Y. Li, “A survey
    • Surveys and Tutorials, pp. 1 - 12, 2012. [5] W. C. Cheung, T. Q. S. Quek, and M. Kountouris, “Throughput opti-
    • (32) mization, spectrum allocation, and access control in two-tier femtocell
    • networks,” IEEE Journal on Selected Areas in Communications, vol. 30,
    • no. 3, pp. 561 -574, April 2012. [6] T. Nakamura, S. Nagata, A. Benjebbour, Y. Kishiyama, T. Hai, S. Xi-
    • advanced,” Communications Magazine, IEEE, vol. 51, no. 2, pp. 98-105,
    • (33) [7] D. Stoyan, W. S. Kendall, and J. Mecke, Stochastic Geometry and Its
    • Applications, 2nd ed. WILEY, 1995. [8] F. Baccelli, B. Blaszczyszyn, and P. Muhlethaler, “Stochastic analysis
    • Communications, vol. 27, no. 7, pp. 1105 - 1119, September 2009. [9] S. Weber, J. G. Andrews, and N. Jindal, “The effect of fading, channel
    • tions on Information Theory, vol. 53, no. 11, pp. 4127 - 4149, November
    • 2007. [10] S. A. R. Zaidi, M. Ghogho, D. C. McLernon, and A. Swami, “Energy
    • WCNC Workshop on Future Green Communications, pp. 24 - 29, April
    • 2012. [11] V. Chandrasekhar and J. G. Andrews, “Spectrum allocation in tiered
    • networks,” IEEE Transactions on Communications, vol. 57, no. 10, pp.
    • 3059 - 3068, October 2009. [12] M. Wildemeersch, T. Q. S. Quek, C. H. Slump, and A. Rabbachin,
    • Transactions on Communications, 2013. [13] T. M. Nguyen, Y. Jeong, T. Q. S. Quek, W. P. Tay, and H. Shin,
    • Transactions on Wireless Communications, vol. 12, no. 12, pp. 2633-
    • 2645, June 2013. [14] T. M. Nguyen, H. Shin, and T. Q. S. Quek, “Network throughput and
    • pp. 1 - 5, April 2012. [15] J. G. Andrews, F. Baccelli, and R. Krishna, “A tractable approach
    • Communications, vol. 59, no. 11, pp. 3122 - 3134, November 2011. [16] H. S. Dhillon, R. Krishna, F. Baccelli, and J. G. Andrews, “Modeling and
    • Selected Areas in Communications, vol. 30, no. 3, pp. 550 - 560, April
    • 2012. [17] A. M. Hunter, J. G. Andrews, and S. Weber, “Transmission capacity of
    • Communications, vol. 7, no. 12, pp. 5058 - 5071, December 2008. [18] A. J. Fehske, F. Richter, and G. P. Fettweiss, “Energy efficiency
    • GLOBECOM Workshops, pp. 1 - 5, November 2009. [19] H. Klessig, A. J. Fehske, and G. Fettweis, “Energy efficiency gains in
    • random micro site deployment,” IEEE Sarnoff Symposium, pp. 1 - 6,
    • May 2011. [20] F. Cao and Z. Fan, “The tradeoff between energy efficiency and system
    • Wireless Communication Systems, pp. 315 - 319, September 2010. [21] T. Q. S. Quek, W. C. Cheung, and M. Kountouris, “Energy efficiency
    • Suistainable Wireless Technologies, pp. 1 - 5, April 2011. [22] J. Rao and A. O. Fapojuwo, “Energy efficiency of outage constrainted
    • tions and Networking Conference (WCNC), pp. 146-151, 2013. [23] R. Hernandez-Aquino, D. McLernon, M. Ghogho, and S. A. R. Zaidi,
    • (EUSIPCO), 2013 Proceedings of the 21st European. IEEE, 2013,
    • pp. 1-5. [24] F. He´liot, M. A. Imran, and R. Tafazolli, “On the energy efficiency-
    • Communications, IEEE Transactions on, vol. 60, no. 5, pp. 1345-1356,
    • 2012. [25] S. A. R. Zaidi, M. Ghogho, and D. C. McLernon, “Achievable spatial
    • relaying,” IEEE Journal on Selected Areas in Communications, pp. 1 -
    • 16, 2012. [26] 3GPP, “TR36.814 v9.0.0.: Further advancements for E-UTRA physical
    • layers aspects (release 9),” 3GPP, Technical Report, March 2010. [27] V. Chandrasekhar, J. G. Andrews, and A. Gatherer, “Femtocell networks:
    • a survey,” IEEE Communications Magazine, vol. 46, pp. 59 - 67, 2008. [28] Z. Chen, C.-X. Wang, X. Hong, J. S. Thompson, S. A. Vorobyov, X. Ge,
    • on Communications, vol. 60, no. 2, pp. 456-468, February 2012. [29] M. Haenggi, “Mean interference in hard-core wireless networks,” IEEE
    • Communications Letters, vol. 15, no. 8, pp. 792-794, August 2011. [30] E.C.R., “Energy efficiency for network equipment: Two steps beyond
    • gust 2008. [31] M. Deruyck, D. D. Vulder, W. Joseph, and L. Martens, “Modelling the
    • Green Communications, pp. 30 - 35, April 2012. [32] A. Goldsmith, Wireless Communications. 40 West 20th Street, New
    • York: Cambridge University Press, 2005. [33] A. J. Grant, “Performance analysis of transmit beamforming,” IEEE
    • Transactions on Communications, vol. 53, no. 4, pp. 738 - 744, April
    • 2005. [34] C. Khatri, “Distribution of the largest or the smallest characteristic
    • populations,” The Annals of Mathematical Statistics, vol. 35, no. 4, pp.
    • 1807 - 1810, 1964. [35] F. Richter, A. J. Fehske, and G. P. Fettweis, “Energy efficiency aspects of
    • Technology Conference, pp. 1 - 5, September 2009. [36] Y. S. Soh, T. Q. S. Quek, M. Kountouris, and H. Shin, “Energy efficient
    • Communications, vol. 31, no. 5, pp. 840-850, May 2013. [37] W. Cheng, H. Zhang, L. Zhao, and Y. Li, “Energy efficient spectrum
    • munications Conference (GLOBECOM 2010), pp. 1 - 5, December
    • 2010. [38] D. Halperin, B. Greenstein, A. Sheth, and D. Wetherall, “Demystifying
    • 802.11n power consumption,” Proceedings of the 2010 international
    • conference on Power aware computing and systems, pp. 1 - 5, October
    • 2010. [39] I. Gradshteyn and I. Ryzhik, Table of Integrals, Series, and Products,
    • 7th ed., A. Jeffrey and D. Zwillinger, Eds. MA, USA: Elsevier
    • Academic Press, 2007.
    • May 2008. He graduated CUM LAUDE. During
    • y Electronica (INAOE) in Mexico. In 2008 he was
    • ico, in Puebla where he received 5 certifications
    • as server administrator (from Microsoft and Sun Microsystems). He worked as a System Administrator at T-Systems Mexico, from February to December 2009. On December 2012 he received his M.Sc. in electronics (major in Telecommunications) from Instituto Tecnologico y de Estudios Superiores de Monterrey (ITESM), in Mexico. He is currently pursuing a Ph.D. in Telecommunications at University of Leeds, UK. He is also a co-author of the “network management and traffic engineering” chapter of the book Building Next-Generation Converged Networks: Theory and Practice (Taylor and Francis, 2013). His research interests include broadly communication theory, heterogeneous networks, and signal processing for communications.
    • Mounir Ghogho (SM96) received the MSc de-
    • gree (DEA) in 1993 and the PhD degree in 1997
    • from September 1997 to November 2001. Since
    • December 2001, he has been a faculty member with
    • Des McLernon (M94) received his B.Sc in elec-
    • sity of Leeds, UK, where he is a Reader in Signal Processing and Director of Graduate Studies. His research interests are broadly within the domain of signal processing for communications, in which area he has published over 280 journal and conference papers.
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