DBmmWave: Chance-Constrained Joint AP Deployment and Beam Steering in mmWave Networks With Coverage Probability Constraints

Mohammad J. Abdel-Rahman, Fatimah Al-Ogaili, Mustafa Abdelsalam Kishk, Allen B. Mackenzie, Paschalis C. Sofotasios, Sami Muhaidat, Amr Nabil

Research output: Contribution to journalArticlepeer-review

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 deployment and beam 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.
Original languageEnglish (US)
Pages (from-to)151-155
Number of pages5
JournalIEEE Networking Letters
Volume1
Issue number4
DOIs
StatePublished - Aug 16 2019

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