Abstract
A transmitter power saving mechanism is presented in this paper where an Adaptive Modulation (AM) strategy is performed by the system. The power saving is accomplished by fixing a predefined Quality of Service (QoS) indicator in the system through the demanded application Symbol Error Rate (SER). The mutliuser system capability is also exploited to achieve larger power saving values, by scheduling the user with the best channel characteristics at each time instant. The feedback values from the receiver are not perfect and show some quantization error, to match with realistic systems. The obtained results are encouraging as they show a great decrease in the system power budget. The system saved power is presented through a closed form expression and compared its results to computer simulations where a very tight performance is obtained.
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References
Fettweis, G., Zimmermann, E.: ICT Energy Consumption - Trends and Challenges. In: WPMC Conference, Lapland-Finland (2008)
Wang, X., Liu, Q., Giannakis, G.B.: Analyzing and Optimizing Adaptive Modulation Coding Jointly With ARQ for QoS-Guaranteed Traffic. IEEE Transactions on Vehicular Technology (March 2007)
Zorba, N., Perez-Neira, A.I., Foglar, A., Verikoukis, C.: Cross Layer QoS Guarantees in Multiuser WLAN Systems. Springer Wireless Personal Communications 51(3) (November 2009)
Svedman, P., Wilson, S.K., Cimini, L.J., Ottersten, B.: Opportunistic Beamforming and Scheduling for OFDMA Systems. IEEE Transactions on Communications 55(5) (May 2007)
Viswanath, P., Tse, D.N., Laroia, R.: Opportunistic Beamforming Using Dumb Antennas. IEEE Transactions on Information Theory 48, 1277–1294 (2002)
Knopp, R., Humblet, P.: Information Capacity and Power Control in Single-Cell Multiuser Communications. In: IEEE-ICC, Seattle-USA (1995)
Caire, G., Jindal, N., Kobayashi, M., Ravindran, N.: Multiuser MIMO Achievable Rates with Downlink Training and Channel State Feedback. IEEE Transactions in Information Theory (April 2010)
Yang, L., Alouini, M.S.: Performance Analysis of Multiuser Selection Diversity. In: IEEE-ICC, Paris-France (2004)
Fantacci, R., Marabissi, D., Tarchi, D., Habib, I.: Adaptive Modulation and Coding Techniques for OFDMA Systems. IEEE Transactions on Wireless Communications 8(9) (September 2009)
Young, G.K., Beaulieu, N.C.: On MIMO Beamforming Systems Using Quantized Feedback. IEEE Transactions on Communications 58(3) (March 2010)
Wang, X., Marques, A.G., Giannakis, G.B.: Power-Efficient Resource Allocation and Quantization for TDMA Using Adaptive Transmission and Limited-Rate Feedback. IEEE Transactions on Signal Processing 56(9) (September 2008)
Zorba, N., Pérez-Neira, A.I.: Robust Power Allocation Schemes for Multibeam Opportunistic Transmission Strategies Under Quality of Service Constraints. IEEE JSAC 26(6) (August 2008)
Gradshteyn, I.S., Ryzhik, I.M.: Table of Integrals, Series, and Products, 4th edn. Academic Press, New York (1994)
Proakis, J.: Digital Communications, 4th edn. McGraw-Hill, New York (2000)
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Althunibat, S., Zorba, N., Loeb, HP., Verikoukis, C. (2012). Power Saving in Multiuser Adaptive Modulation Transmission with Quantized Feedback. In: Rodriguez, J., Tafazolli, R., Verikoukis, C. (eds) Mobile Multimedia Communications. MobiMedia 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 77. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35155-6_40
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DOI: https://doi.org/10.1007/978-3-642-35155-6_40
Publisher Name: Springer, Berlin, Heidelberg
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