Asymptotic minimum coverage using macroscopic diversity

1. Asymptotic Minimum Coverage Using Macroscopic Diversity
The optimal geometric configuration of the cells of a wireless network using multiple antennas
for each base station and a macro-diversity technique is investigated. The simplest model of a
cell of an existing wireless network is disk-shaped, and the cell deployment is arranged in a
honeycomb tiling pattern. This model has been used as the first order approximation for
designing and evaluating wireless networks. However, the cells of a network using multiple
antennas and macro-diversity are no longer disk-shaped. This study investigated a network with
a cell-and-antenna deployment pattern that covers a given service area using the minimum
number of cells. The objective of this paper is to offer a first order approximation model for a
cell-and-antenna deployment pattern of such a network. For this objective, first, by imposing
practical conditions, cell-and-antenna deployment patterns are classified. Then, the asymptotic
minimum coverage problem is formulated as an optimization problem with a constraint for a set
of deployment patterns. To easily obtain the first order approximation model, a simplified
formulation and model are proposed. Numerical examples show that the proposed deployment
pattern covers the service area with nearly half the cells required by the existing heuristic pattern.
Ambit lick Solutions
Mail Id: Ambitlick@gmail.com , Ambitlicksolutions@gmail.Com