A simulation study of hyper-cellular architecture with dynamic temporal and spatial traffic

To provide the paradigm shift of green cellular communications, Hyper Cellular Architecture (HCA), has been proposed, in which the common control functionalities are decoupled from the data service functionalities at base station (BS) level so that the traffic BSs can be more adaptive to the temporal and spatial traffic fluctuations. In this paper, we develop a system level simulator (SLS) for HCA to evaluate the HCA performance under temporal and spatial traffic fluctuations. The SLS enjoys low complexity, open interface and completed functions through the carefully tuned modeling on long-term large-scale traffic model, the separation architecture and the resource allocation strategies. Simulation results show that even with some basic BS sleeping algorithms, HCA can achieve up to 45% energy efficiency (EE) gain over conventional cellular architecture with macro BSs only or heterogeneous network during the low traffic period, and about 36% EE gain on average for a typical daily traffic pattern.