IJMTES – CLOSED-FORM APPROXIMATION OF THE EE-SE TRADE-OFF OVER THE MIMO

Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : S.JothiPrasanth, S.Barathkumar, M.Pruthiv, R.Raghu

Volume 01 Issue o4 April 2014  

ISSN no:  2348-3121 

Page no: 18-21

Abstract This paper proposes  along with spectral efficiency (SE),energy efficiency (EE) is becoming one of the key performance   evaluation criteria for communication system. These two criteria, which are con- flicting, can be linked through their trade-off. In this paper, we propose a novel and more generic closed-form approximation of this trade-off which exhibits a greater accuracy for a wider range of SE values and antenna configurations. Our expression has been here utilized for assessing analytically the EE gain of MIMO over single-input single-output (SISO) system for two different types of power consumption models (PCMs): the theoretical PCM, where only the transmit power is considered as consumed power; and a more realistic PCM accounting for the fixed consumed power and amplifier inefficiency. This project proposes   along with spectral efficiency (SE),energy efficiency (EE) is becoming one of the key performance   evaluation criteria for communication system. These two criteria, which are con- flicting, can be linked through their trade-off. The EE-SE trade- off for the multi-input multi-output (MIMO) Rayleigh fading channel has been accurately approximated in the past but only in the low-SE regime. In this paper, we propose a novel and more generic closed-form approximation of this trade-off which exhibits a greater accuracy for a wider range of SE values and antenna configurations. The theoretical PCM, where only the transmit power is considered as consumed power; and a more realistic PCM accounting for the fixed consumed power and amplifier inefficiency. Our analysis unfolds the large mismatch between theoretical and practical MIMO vs. SISO EE gains; the EE gain increases both with the SE and the number of antennas in theory, which indicates that MIMO is a promising EE enabler; whereas it remains small and decreases with the number of transmit antennas when a realistic PCM is considered.

KeywordsEE TRADE; SISO; PCM

Reference

[1] K. Lahiri, A. Raghunathan, S. Dey, and D. Panigrahi, “Battery-driven system design: a new frontier in low power design,” in Proc.(2002) Int Conf. VLSI Design, pp. 261–267.
[2] H. M. Kwon and T. G. Birdsall, “Channel capacity in bits per joule,” IEEE J. Ocean. Eng., Vol. 11, No. 1, pp. 97–99, Jan. (1986).
[3] C. Bae and W. E. Stark, “Energy and bandwidth efficiency in wireless networks,” in Proc. (2006) IEEE ICCCAS.
[4] S. Cui, A. J. Goldsmith, and A. Bahai, “Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks,” IEEE J. Sel. Areas Commun., Vol. 22, No. 6, pp. 1089–1098, Aug. (2004).
[5] 3GPP TSG-SA#50 SP-1008883GPP, 3GPP Work Item Description,“Study on system enhancements for energy efficiency,” 3GPP TSGSA, Istanbul, Turkey, Tech. Rep., Dec. (2010), agreed Work Item 500037 (Release11).
[6] S. Verdu, “Spectral efficiency in the wideband regime,” IEEE. Trans. Inf. Theory, Vol. 48, No. 6, pp. 1319–1343, June (2002).
[7] A. Lozano, A. M. Tulino, and S. Verdu, “Multiple-antenna capacity in the low-power regime,” IEEE Trans. Inf. Theory, Vol. 49, No. 10, pp. 2527-2544, Oct. (2003).
[8] O. Oyman and A. J. Paulraj, “Spectral efficiency of relay networks in the power limited regime,” in Proc. 2004 Allerton Conf. Commun., Control Computing.
[9] V. Rodoplu and T. H. Meng, “Bits-per-joule capacity of energy-limited wireless networks,” IEEE Trans. Wireless Commun., Vol. 6, No.3, pp. 857-865, Mar. (2007).
[10] J. Gómez-Vilardebó, A. I. Pérez-Neira, and M. Nájar, “Energy efficient communications over the AWGN relay channel,” IEEE Trans. Wireless Commun., Vol. 9, No. 1, pp. 32–37, Jan. (2010).
[11] O. Arnold, F. Richter, G. Fettweis, and O. Blume, “Power consumption modeling of different base station types in heterogeneous cellular networks,” in Proc. (2010) ICT Future Network Mobile Summit.
[12] A. Fehske, P. Marsch, and G. Fettweis, “Bit per joule efficiency of cooperating base stations in cellular networks,” in cellular network,” in Proc. (2010) IEEE Globecom Workshops.
[13] G. Auer, et al., “D2.3: energy efficiency analysis of the reference systems, areas of improvements and target breakdown,” INFSO-ICT-247733 EARTH (Energy Aware Radio and NeTwork Technologies), Tech. Rep., Nov. (2010).
[14] G. Caire, G. Taricco, and E. Biglieri, “Suboptimality of TDMA in the low-power regime,” IEEE Trans. Inf. Theory Vol 50, No. 4, pp. 608-620, Apr. (2004).
[15] Y. Yao, X. Cai, and G. B. Giannakis, “On energy efficiency and optimum resource allocation of relay transmissions in the low-power regime,” IEEE Trans. Wireless Commun., vol. 4, no. 6, pp. 2917-2927, Nov (2005).
[16] O. Somekh, B. M. Zaidel, and S. Shamai, “Sum rate characterization of joint multiple cell-site processing,” IEEE Trans. Inf. Theory Vol. 53, No. 12, pp. 4473–4497, Dec. (2007).
[17] O. Simeone, O. Somekh, Y. Barof-Ness, and U.Spangnolini, “Throughput low-lower cellular systems with collaborative base stations and relaying,” IEEE Trans. Inf. Theory, vol. 54, no. 1, pp. 459 -467, Jan (2008).

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