Optimal design of wireless networks for broadband access with minimum power consumption

Abstract

Abstract-The continuous rise in wireless data traffic brings forth an increase in power consumption and static users constitute a large fraction of these traffic demands. This work focuses on designing cellular networks to deliver a given data rate per area and user, while minimizing the power consumption. In particular we are interested in optimizing the transmission power, density of access points (APs), number of AP antennas and number of users served in each cell. To this end, we consider a network model based on stochastic geometry and a detailed power consumption model to derive closed form expressions and obtain insights on the interplay of the aforementioned design parameters. The results show that, in contrast with previous works on optimal network design for energy efficiency, having exceedingly high AP density does not bring the most benefits in terms of power savings. Instead the AP density should be chosen according to the area data rate that we want to deliver. In addition numerical results show that the minimum power consumption is obtained in the Massive MIMO regime with many antennas and users per AP.

Joint Optimization Framework for Operational Cost Minimization in Green Coverage-Constrained Wireless Networks

“…In [23], this improvement is achieved by optimizing the BS densities, their transmit power, and deployment factor of the BSs. A method for reducing the power consumption by optimizing the transmit power, BSs densities, number of BS antennas, and number of UEs per cell in a network, has been proposed in [24]. Considering the joint optimization of BSs density and transmit power under the coverage constraint, it was shown in [25] that coverage performance of the system converges to a fixed value with energy related deployment factor.…”