Session Details:

Paper 1: Analysis of RF Energy Harvesting in Uplink-NOMA IoT-based Network

Authors: Zhou Ni, Ziru Chen, Qinbo Zhang, Chi Zhou, Illinois Institute of Technology

Paper 2: An Efficient Algorithm for Dense Network Flow Maximization with Multihop Backhauling and NFPs

Authors: Abdullateef Almohamad, Mazen O. Hasna, Tamer Khattab, Qatar University; Mohamed Haouari, Old Dominion University

Paper 3: Angular-Based 3D Hybrid Precoding for URA in Multi-User Massive MIMO Systems

Authors: Asil Koc, Ahmed Masmoudi, Tho Le-Ngoc, McGill University

Paper 4: Clustering of Signal Power Distribution Toward Low Storage Crowdsourced Spectrum Database

Authors: Yoji Uesugi, Keita Katagiri, The University of Electro-Communications; Koya Sato, Tokyo University of Science; Kei Inage, Tokyo Metropolitan College of Industrial Technology; Takeo Fujii, The University of Electro-Communications

Paper 5: Coded Caching for Energy Efficient HetNets with Bandwidth Allocation and User Association

Authors: Fangfang Yin, Minyin Zeng, Zhilong Zhang, Danpu Liu, Beijing University of Posts and Telecommunications

Paper 6: Distributed User Pairing and Transmission Mode Selection in a Single Cell Full Duplex Network

Authors: Yao-Yuan Chang, Hsuan-Jung Su, National Taiwan University

Paper 7: Game Theoretical Approach of Blockchain-based Spectrum Sharing for 5G-enabled IoTs in Dense Networks

Authors: YeJin Choi, Il-Gu Lee, Sungshin University

Paper 8: Hybrid Beamforming in Massive-MIMO mmWave Systems Using LU Decomposition

Authors: Mustafa Aljumaily, University of Tennessee

Paper 9: Integrated Access Backhauled Networks

Authors: Oumer Teyeb, Ajmal Muhammad, Gunnar Mildh, Erik Dahlman, Filip Barac, Behrooz Makki, Ericsson

Paper 10: Opportunistic Routing Protocol For Ad-Hoc Networks Using mmWave and Random Beamforming

Authors: Mustafa Aljumaily, Husheng Li, University of Tennessee

Paper 11: Partial Non-Orthogonal Multiple Access (P-NOMA) with respect to User Fairness

Authors: Beomju Kim, Jehyun Heo, Daesik Hong, Yonsei University

Paper 12: Sensor Selection Based on Dempster-Shafer Evidence Theory Under Collaborative Spectrum Sensing in Cognitive Radio Sensor Networks

Authors: Ying Gao, Ming Diao, Harbin Engineering University; Takeo Fujii, The University of Electro-Communications