Energy Efficiency Performance for 5G Cellular Networks
Abstract
The next generation of wireless connectivity-the fifth generation, or 5G will show an intense demand for data rates. Densified heterogeneous cellular networks, where a large number of small cell stations is deployed on traditional cellular topologies, is defined as one among the most important solutions in order to sustain both data volume and capacity demands. However, energy consumption in such network deployment goes up in proportion along with the rise of small cell station numbers. Thus, enhancing Energy Efficiency (EE) becomes an important aim to implement future wireless mobile networks. In this paper, a dynamic spectrum access scheme is suggested in an ultra-dense heterogeneous network based on a cognitive monitor sensing strategy to improve the EE while meeting the required capacity. The EE analytical expression is derived based on the stochastic geometry theory. Through the simulation results, the performance of the suggested scheme are conducted.
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