Error Statistics of Real-Time Power Measurements in Cellular Channels with Multipath and Shadowing

Andrea J. Goldsmith, Larry J. Greenstein, Gerard J. Foschini

Research output: Contribution to journalArticlepeer-review

117 Scopus citations

Abstract

Real-time power measurements performed by cellular receivers are essential for power control, handoff and dynamic channel allocation. For best results, the measurement filter bandwidth must be sufficiently narrow to average out multipath fluctuations, yet sufficiently wide to follow shadow fading fluctuations. Our study considers two measurement methods (filtering the squared. envelope, and filtering the logarithm of the squared envelope), and two filter types (integrate-and-dump and RC). We show, using standard models for the multipath and shadow fadings, that the dB measurement error tends to be Gauss-distributed and can readily be made unbiased (zero mean) by proper amplitude calibration. The performance metric then becomes the standard deviation (Δ) of the dB error, which can be minimized by proper choice of the filter bandwidth. We find that Δ can be kept to values of 3 dB or lower over a wide range of mobile velocities and shadow fading characteristics. Also, we discuss the potential gains in measurement accuracy associated with diversity reception and broad-band channels.

Original languageEnglish (US)
Pages (from-to)439-446
Number of pages8
JournalIEEE Transactions on Vehicular Technology
Volume43
Issue number3
DOIs
StatePublished - Aug 1994
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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