Risk-aware resource allocation for URLLC: Challenges and strategies with machine learning
Supporting ultra-reliable low-latency communications (URLLC) is a major challenge of 5G
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning
A Azari, M Ozger, C Cavdar - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
Supporting ultra-reliable low-latency communications (URLLC) is a major challenge of 5G
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning
A Azari, M Ozger, C Cavdar - IEEE Communications Magazine, 2019 - dl.acm.org
Supporting ultra-reliable low-latency communications (URLLC) is a major challenge of 5G
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
[PDF][PDF] Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning
A Azari, M Ozger, C Cavdar - researchgate.net
Supporting ultra-reliable low-latency communications (URLLC) is a major challenge of 5G
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning
A Azari, M Ozger, C Cavdar - IEEE Communications Magazine, 2019 - diva-portal.org
Supporting ultra-reliable low-latency communications (URLLC) is a major challenge of 5G
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
[PDF][PDF] Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning
A Azari, M Ozger, C Cavdar - academia.edu
Supporting ultra-reliable low-latency communications (URLLC) is a major challenge of 5G
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
[引用][C] Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning
A Azari, M Ozger, C Cavdar - IEEE Communications Magazine, 2019 - cir.nii.ac.jp
Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine
Learning | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索 …
Learning | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索 …
Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning
A Azari, M Ozger, C Cavdar - arXiv preprint arXiv:1901.04292, 2018 - arxiv.org
Supporting ultra-reliable low-latency communications (URLLC) is a major challenge of 5G
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
[PDF][PDF] Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning
A Azari, M Ozger, C Cavdar - researchgate.net
Supporting ultra-reliable low-latency communications (URLLC) is a major challenge of 5G
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …