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Optimization of Wireless Multiple Antenna Communication System Throughput Via Quantized Rate Control

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Wireless Communications

Part of the book series: The IMA Volumes in Mathematics and its Applications ((IMA,volume 143))

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Abstract

The facility of information exchange using wireless communication systems has affected many aspects of the modern lifestyle. In return for the growth of wireless applications, we have witnessed an ever growing demand for the high data rate wireless communication systems. However, the hostility of the wireless fading environment and channel variation makes the design of high rate communication system very challenging. To this end, multiple antenna systems have shown to be very effective in fading environment by providing significant performance improvements and achievable data rates in comparison to a single antenna systems. The performance gain achieved by multiple antenna system increases when the knowledge of the channel state information (CSI) at each end, either the receiver or transmitter, is increased. Although perfect CSI is desirable, practical systems are usually built on estimating the CSI at the receiver and possibly feeding back the CSI to the transmitter through a feedback link with a limited capacity.

While most of the research efforts has been focused on the outage probability minimization through an adaptive transmission scheme, the overall evaluation of the system throughput is not well addressed. However, the throughput is the actual performance measure for most of the practical applications, such as data transfer or video streaming.

In this work, we consider the problem of throughput maximization through a quantized feedback which is appropriate model for practical systems where the feedback link has limited capacity. We derive the optimal quantized rate control design for a general multiple transmit and multiple receive antenna system, and provide the mathematical framework to find such an optimal solution. Moreover, an adaptive gradient search algorithm has been proposed that can efficiently find the optimal solution.

It is shown that the proposed quantized rate control design considerably improves the throughput of a system for a given average power. Equivalently, for a targeted throughput, a huge saving in power can be obtained through quantized rate control. More importantly, only a few bits of feedback per block of transmission is needed to achieve most of the gain in the knowledge of CSI at the transmitter. Practicality of such a low rate feedback highly motivate the use of the proposed rate control strategy in order to maximize the system throughput.

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Author information

Authors and Affiliations

  1. NEC Laboratories America, 4 Independence Way, Suite 200, Princeton, NJ

    M. A. Khojastepour & M. Madihian

  2. Department of Electrical Engineering, Columbia University, New York, NY

    X. Wang

Authors
  1. M. A. Khojastepour
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  2. X. Wang
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  3. M. Madihian
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, 36849-5201, USA

    Prathima Agrawal

  2. Network Advanced Technology, Motorola, Inc., Arlington Heights, IL, 60004, USA

    Philip J. Fleming

  3. Computing Sciences Research Center, Bell Laboratories Lucent Technologies, Murray Hill, NJ, 07974, USA

    Lisa Zhang

  4. Bell Laboratories, Lucent Technologies, Murray Hill, NJ, 07974-0636, USA

    Daniel Matthew Andrews

  5. Department of Mathematics, Wayne State University, Detroit, MI, 48202, USA

    George Yin

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Khojastepour, M.A., Wang, X., Madihian, M. (2007). Optimization of Wireless Multiple Antenna Communication System Throughput Via Quantized Rate Control. In: Agrawal, P., Fleming, P.J., Zhang, L., Andrews, D.M., Yin, G. (eds) Wireless Communications. The IMA Volumes in Mathematics and its Applications, vol 143. Springer, New York, NY. https://doi.org/10.1007/978-0-387-48945-2_6

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