Cooperative load balancing on human moving trajectory diversity in cellular networks

Human dynamics are investigated for deployment of picocell in cellular network in this paper. Human dynamics may lead to variation of channel condition, e.g., moving fast or slow, driving in a mega city or in a countryside may change channel conditions. The data delivery throughput depends on user distribution, commuting trajectory, and Internet access regularity. Effectiveness of frequency reuse assisted from picocell deployment is affected by human dynamics. By applying human dynamics to a network management strategy, the effectiveness of frequency reuse can be improved in practice. Pricing strategy and resource management can be reconsidered according to users' loyalty with respect to a service provider. Novel pricing strategies based on user's request-to-receive ratio are also proposed. Computer simulations verify the improvements obtained using the proposed methods.