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

Abdel-Rahman, Mohammad J.; Al-Ogaili, Fatimah; Kishk, Mustafa A.; MacKenzie, Allen B.; Sofotasios, Paschalis C.; Muhaidat, Sami; Nabil, Amr (2019)
 
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Abdel-Rahman, Mohammad J.
Al-Ogaili, Fatimah
Kishk, Mustafa A.
MacKenzie, Allen B.
Sofotasios, Paschalis C.
Muhaidat, Sami
Nabil, Amr
2019

IEEE Networking Letters
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doi:10.1109/LNET.2019.2935904
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https://urn.fi/URN:NBN:fi:tuni-202011268243

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Peer reviewed
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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.
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