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Cell design in a cellular system using guard channels, call queueing and channel borrowing
This dissertation develops an analytic framework to undertake cell design in a cellular system.
The cell is modeled in a broader sense than ever done before. In our analytical model, we incorporated
the use of guard channels, queueing of new calls, and hybrid channel allocation. A numerically stable
and efficient solution to a queueing system with two arrival streams having reserved and borrowable
servers has been developed. This queueing system is used to model the cell behavior. The model
provides valuable insights into the behavior of the cell, and this in turn has been used to devise
an efficient stochastic optimization algorithm for determining the minimum number of channels
required by the cell.
Our techniques are stable, easy to implement for practical systems and produce optimized
solutions quickly. This is particularly useful because we expect that future designs of cellular systems
may execute such algorithms on cell-site processors.