Co-existence DCA: dynamic channel allocations allowing underlaying autonomous microcells

Abstract

To facilitate the coexistence of embedded autonomous indoor microcellular environments, a new form of dynamic channel assignment (DCA) algorithms for outdoor macrocellular systems is proposed in this paper. The co-existence of two systems without excessive mutual interference is achieved through a novel mechanism, i.e., intelligent exclusion of predefined subsets of the universal channel set from the dynamic assignment in the outdoor cells. Such channel exclusion results in a guaranteed number of channels available to the autonomous indoor systems anywhere they are; while incurring minimal DCA performance degradation in the macrocells. The resulting DCA algorithms are termed the co-existence DCA (CE-DCA) algorithms. We formulate the problem of CE-DCA in a rigorous manner and discuss the parameters involved in achieving optimum combined capacity of macro and micro cellular systems. Using the local packing dynamic channel assignment (LPDCA) algorithm as the base line DCA in the macrocellular system, we present both statistic and deterministic CE-DCA schemes, and compare their performances under various scenarios.