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Languages: English
Types: Article,Other

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arxiv: Computer Science::Information Theory, Computer Science::Operating Systems
Cooperative communication is an effective approach\ud for increasing the spectral efficiency and/or the coverage of cellular\ud networks as well as reducing the cost of network deployment.\ud However, it remains to be seen how energy efficient it is. In this\ud paper, we assess the energy efficiency of the conventional Amplifyand-forward\ud (AF) scheme in an in-building relaying scenario.\ud This scenario simplifies the mutual information formulation of\ud the AF system and allows us to express its channel capacity with\ud a simple and accurate closed-form approximation. In addition,\ud a framework for the energy efficiency analysis of AF system\ud is introduced, which includes a power consumption model and\ud an energy efficiency metric, i.e. the bit-per-joule capacity. This\ud framework along with our closed-form approximation are utilized\ud for assessing both the channel and bit-per-joule capacities of\ud the AF system in an in-building scenario. Our results indicate\ud that transmitting with maximum power is not energy efficient\ud and that AF system is more energy efficient than point-to-point\ud communication at low transmit powers and signal-to-noise ratios.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] A. Sendonaris, E. Erkip, and B. Aazhang, “User Cooperation Diversity Part I & II- System Description / Implementation Aspects and Performance Analysis,” IEEE Trans. Commun., vol. 51, no. 11, pp. 1927-1948, Nov. 2003.
    • [2] M. Janani, A. Hedayat, T. E. Hunter, and A. Nosratinia, “Coded Cooperation in Wireless Communications: Space-Time Transmission and Iterative Decoding,” IEEE Trans. Signal Processing, vol. 52, no. 2, pp. 362-371, Feb. 2004.
    • [3] A. Nosratinia, T. E. Hunter, and A. Hedayat, “Cooperative Communication in Wireless Networks,” IEEE Commun. Mag., vol. 42, no. 10, pp. 74-80, Oct. 2004.
    • [4] J. N. Laneman, D. N. C. Tse, and G. W. Wornell, “Cooperative Diversity in Wireless Networks: Efficient Protocols and Outage Behavior,” IEEE Trans. Inform. Theory, vol. 50, no. 12, pp. 3062-3080, Dec. 2004.
    • [5] O. Mun˜oz-Medina, J. Vidal, and A. Agust´ın, “Linear Transceiver Design in Nonregenerative Relays with Channel State Information,” IEEE Trans. Signal Processing, vol. 55, no. 6, pp. 2593-2604, June 2007.
    • [6] “Reconfigurable OFDMA-based Cooperative NetworKs Enabled by Agile SpecTrum Use (ROCKET),” ICT-215282 FP7 STREP project, Tech. Rep., 2008-2009. [Online]. Available: http://www.ict-rocket.eu
    • [7] 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.
    • [8] K. Azarian, H. El Gamal, and P. Schniter, “On the Achievable DiversityMultiplexing Tradeoff in Half-Duplex Coooperative Channels,” IEEE Trans. Inform. Theory, vol. 51, no. 12, pp. 4152-4172, Dec. 2005.
    • [9] A. Firag, P. J. Smith, and M. R. McKay, “Capacity Analysis for MIMO Two-Hop Amplify-and-Forward Relaying Systems with the Source to Destination Link,” in Proc. IEEE ICC'09, Dresden, Germany, June 2009.
    • [10] J. Wagner, B. Rankov, and A. Wittneben, “Large n Analysis of Amplifyand-Forward MIMO Relay Channels With Correlated Rayleigh Fading,” IEEE Trans. Inform. Theory, vol. 54, no. 12, pp. 5735-5746, Dec. 2008.
    • [11] A. Ambrosy and et al., “D2.2: Definition and Parameterization of Reference Systems and Scenarios,” INFSO-ICT-247733 EARTH (Energy Aware Radio and NeTwork TecHnologies), Tech. Rep., June 2010. [Online]. Available: https://www.ict-earth.eu/publications/ deliverables/deliverables.html
    • [12] O. Arnold, F. Richter, G. Fettweis, and O. Blume, “Power Consumption Modeling of Different Base Station Types in Heterogeneous Cellular Networks,” in Proc. ICT Future Network & Mobile Summit, Florence, Italy, June 2010.
    • [13] T. M. Cover and J. A. Thomas, Elements of Information Theory. NewYork, USA: ed. Wiley, 1991.
    • [14] “Imperial College Website, Block Matrix Determinant,” [Online]. Available: http://www.ee.ic.ac.uk/hp/staff/dmb/matrix/ proof003.html.
    • [15] “Wikipedia Website,” [Online]. Available: http://en.wikipedia.org/wiki/Matrix determinant lemma.
    • [16] F. He´liot, M. A. Imran, and R. Tafazolli, “Energy Efficiency Analysis of In-Building MIMO AF Communication: Derivation Insights,” Tech. Rep., Aug. 2010. [Online]. Available: http://membres.multimania.fr/ fheliot/pub/Technote5.pdf
    • [17] H. M. Kwon and T. G. Birdsall, “Channel Capacity in Bits per Joule,” IEEE Jour. Oceanic Engineering, vol. OE-11, no. 1, pp. 97-99, Jan. 1986.
    • [18] 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.
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