Abstract
At millimeter wave (mmWave) frequencies, high attenuation in propagation and severe blockage by obstacles lead to high uncertainty in the availability of links between access points (APs) and mobile devices. Considering this uncertainty in combination with the inherent user location uncertainty, we propose DBmmWave, as the first chance-constrained stochastic programming (CCSP) framework for joint AP ${d}$ eployment and ${b}$ eam steering in mmWave networks. Extensive results are generated to quantify the impact of channel conditions and user distribution on the network coverage and the required number of mmWave APs. Our results demonstrate the effectiveness of CCSP in handling the trade-off between the number of APs and the network coverage.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
