A novel dynamic channel assignment strategy using normal graphical signal processing for hierarchical cellular systems

Evolution of cellular systems in urban environments results in microcell and macrocell overlaying architectures with heavy traffic loading seen around hot spots. To achieve high spectrum efficiency, serious traffic blocking problems usually emerge in such an architecture if the network resource is not well managed. Based on a normal graph framework, we propose a fully-distributed dynamic channel assignment algorithm for hierarchical cellular systems using antenna arrays. Utilizing the available mobile station location information, the proposed algorithm defines soft-information to reflect the local traffic distribution. The soft-information is then iteratively exchanged among mobile stations and base stations to increase system capacity significantly.