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RESEARCH PRODUCT
On the Statistical Analysis of the Channel Capacity of Double Rayleigh Channels with Equal Gain Combining in V2V Communication Systems
Matthias PatzoldBatool Talhasubject
VDP::Mathematics and natural science: 400::Information and communication science: 420::Communication and distributed systems: 423EngineeringSpatial correlationbusiness.industryCumulative distribution functionMIMOProbability density functionChannel capacityChannel state informationVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552Gamma distributionElectronic engineeringFadingStatistical physicsbusinessComputer Science::Information Theorydescription
paper presented at the 2010 IEEE 71st Vehicular Technology Conference, Taipei. (c) 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Paper also available from the publisher: http://dx.doi.org/10.1109/VETECS.2010.5494112 In this article, we present a detailed study on the statistical properties of the channel capacity of vehicle-to-vehicle (V2V) fading channels with equal gain combining (EGC). Assuming perfect channel state information (CSI) at the receiver, we have modeled the received signal envelope at the output of the equal gain (EG) combiner as a sum of double Rayleigh processes. These double Rayleigh processes are assumed to be independent but not necessarily identical processes. It is illustrated that the probability density function (PDF) of this sum process can efficiently be approximated using the gamma distribution. Furthermore, exploiting the properties of the gamma distribution, other statistical properties of the sum process are also evaluated. Thus, given the analytical approximations for the statistical properties of the received signal envelope at the output of the EG combiner, the theoretical results associated the statistics of the channel capacity just involves transformation of random variables. Here, simple and closed-form analytical approximations for the PDF, the cumulative distribution function (CDF), the level-crossing rate (LCR), and the average duration of fades (ADF) of the channel capacity are derived. The correctness of the theoretical results is validated by simulations. The presented results can be utilized to optimize the performance of spatial diversity receivers employed in the forthcoming V2V multiple-input multiple-output (MIMO) wireless communication systems.
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2010-01-01 |