Determining subscriber demands on communiations system

Abstract

A method and system in a wireless communications system (100) enables a network operator to accomodate subscriber demands (650) by matching resources (230, 240) to current, congested traffic levels (620) and future, predicted traffic levels (640). The accommodation may be effectuated at the cell level, and the applicable resurces include transceivers (TRXs)(240). A given base station (B1) in a network (100) records variables on preferably at least three occasions (810, 820, 830). The variables include time of measurement (420), mean traffic level (TL)(430), busy hour TL (440), and current number of TRXs (450). These four variables may then be used in a non-linear optimization formula applied to a growth equation (840). Three vital coefficients are produced for the equation (850). Future traffic levels, as well as a maximum expected subscriber population, for the given cell can be estimated from the growth equation with the vital coefficients (860, 870). A possible busy hour TL and the predicted future TLs may be used to determine an optimized number of TRXs (880).

Description

Technical field [0001] In general, the present invention relates to the field of communication, and in particular, to a method and system for (i) determining or estimating the current communication volume in a wireless communication system and predicting the future communication volume in the wireless communication system and ( ii) Selectively increase resources according to the determined communication volume. Background technique [0002] Wireless communication enables users to make calls to and receive calls from various places. Wireless communication has improved security, productivity, and brought convenience, which has led to the explosive growth of most wireless networks. Meeting this explosive demand is very difficult and costly. The wireless system has been well planned before deployment, and will be updated and expanded periodically according to user needs in the future. [0003] The response to busy communication and increased traffic can include splitting a cell with ...

AI Technical Summary

Problems solved by technology

This model is not suitable to meet the needs of operators, because it is difficult to estimate the possible growth function in a single cell

In other words, projections of future traffic volumes are inaccurate due to the use of less complex mathematical models

[0006] In short, the traditional wireless communication system is not accurate enough to estimate the demand of users during the access peak period, and the estimation of future traffic growth is not accurate enough

As a result, wireless service providers cannot optimally provide resources to meet user needs

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