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Abdel-Rahman, Mohammad J., Al-Ogaili, Fatimah, Kishk, Mustafa A., Mackenzie, Allen B., Sofotasios, Paschalis C., Muhaidat, Sami and Nabil, Amr (2019) DBmmWave: Chance-Constrained Joint AP Deployment and Beam Steering in mmWave Networks With Coverage Probability Constraints. IEEE Networking Letters, 1 (4). pp. 151-155. ISSN 2576-3156
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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.
| Item Type: | Article |
|---|---|
| Keywords: | MmWave networks; AP deployment; beam steering; coverage probability; chance-constrained stochastic optimization; |
| Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 19383 |
| Identification Number: | 10.1109/LNET.2019.2935904 |
| Depositing User: | Mustafa Kishk |
| Date Deposited: | 21 Jan 2025 12:44 |
| Journal or Publication Title: | IEEE Networking Letters |
| Publisher: | Institute of Electrical and Electronics Engineers |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/19383 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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