LPC for Signal Analysis in Cellular Network Coverage

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DOI: 10.4236/oalib.1102759    806 Downloads   1,752 Views  Citations

ABSTRACT

This paper introduces a novelty method of using a Linear Prediction Coefficient (LPC) filter, a digital signal processing (DSP) tool to get accurate signal measurement in noisy mobile environment. By measuring the received power of a mobile radio, it also measures the coverage of an area served by several base stations. For results’ validation, the mobile received power at user end of two Code Division Multiple Acccess-2000 (CDMA2000) cellular networks operating at different frequency (450 MHz and 800 MHz) in the same environment, Lome in Togo, was considered. Our analysis has consistently shown that within the problem areas in the coverage, the filter response does not match with the measured data. These mismatching areas may likely result from poor soft-handoff process or some dead zones. The study has proven the significant help of this novelty method in problem areas identification. Consequently, such a filter can be embedded to current firmware for Radio Frequency coverage optimization, and for an effective spectrum efficiency.

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Dotche, K. , Sekyere, F. and Banuenumah, W. (2016) LPC for Signal Analysis in Cellular Network Coverage. Open Access Library Journal, 3, 1-10. doi: 10.4236/oalib.1102759.

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