Data-Driven Low-Complexity Detection in Grant-Free NOMA for IoT
暂无分享,去创建一个
[1] Xinghua Li,et al. TFL-DT: A Trust Evaluation Scheme for Federated Learning in Digital Twin for Mobile Networks , 2023, IEEE Journal on Selected Areas in Communications.
[2] P. Fan,et al. Active device detection and performance analysis of massive non-orthogonal transmissions in cellular Internet of Things , 2022, Science China Information Sciences.
[3] M. Shirvanimoghaddam,et al. Enabling transmission status detection in grant‐free power domain non‐orthogonal multiple access for massive Internet of Things , 2022, Trans. Emerg. Telecommun. Technol..
[4] Halim Yanikomeroglu,et al. Multi-User Joint Maximum-Likelihood Detection in Uplink NOMA-IoT Networks: Removing the Error Floor , 2021, IEEE Wireless Communications Letters.
[5] Sarah J. Johnson,et al. Receiver Design for Uplink Power Domain NOMA With Discontinuous Transmissions , 2021, IEEE Communications Letters.
[6] H. Yanikomeroglu,et al. DeepMuD: Multi-User Detection for Uplink Grant-Free NOMA IoT Networks via Deep Learning , 2021, IEEE Wireless Communications Letters.
[7] A. Nallanathan,et al. Transmit Power Pool Design for Grant-Free NOMA-IoT Networks via Deep Reinforcement Learning , 2020, IEEE Transactions on Wireless Communications.
[8] Zhifeng Yuan,et al. 5G Non-Orthogonal Multiple Access Study in 3GPP , 2020, IEEE Communications Magazine.
[9] Byonghyo Shim,et al. Deep Neural Network-Based Active User Detection for Grant-Free NOMA Systems , 2019, IEEE Transactions on Communications.
[10] Zhijin Qin,et al. Non-Orthogonal Multiple Access for Massive Connectivity , 2019, Springer Briefs in Computer Science.
[11] Sarah J. Johnson,et al. Grant-Free Non-Orthogonal Multiple Access for IoT: A Survey , 2019, IEEE Communications Surveys & Tutorials.
[12] Hyundong Shin,et al. Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches , 2019, IEEE Transactions on Communications.
[13] Wansu Lim,et al. Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions , 2019, IEEE Access.
[14] Aditya S. Rajasekaran,et al. A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks , 2019, IEEE Communications Surveys & Tutorials.
[15] Bang Chul Jung,et al. BER Performance of Uplink NOMA With Joint Maximum-Likelihood Detector , 2019, IEEE Transactions on Vehicular Technology.
[16] Guan Gui,et al. Deep Cognitive Perspective: Resource Allocation for NOMA-Based Heterogeneous IoT With Imperfect SIC , 2019, IEEE Internet of Things Journal.
[17] Xiaolin Hou,et al. Deep Learning Aided Grant-Free NOMA Toward Reliable Low-Latency Access in Tactile Internet of Things , 2019, IEEE Transactions on Industrial Informatics.
[18] Octavia A. Dobre,et al. Signature-Based Nonorthogonal Massive Multiple Access for Future Wireless Networks: Uplink Massive Connectivity for Machine-Type Communications , 2018, IEEE Vehicular Technology Magazine.
[19] Soo Young Shin,et al. User pairing and power allocation for non-orthogonal multiple access: Capacity maximization under data reliability constraints , 2018, Phys. Commun..
[20] Naofal Al-Dhahir,et al. Unsupervised Machine Learning-Based User Clustering in Millimeter-Wave-NOMA Systems , 2018, IEEE Transactions on Wireless Communications.
[21] H. Vincent Poor,et al. Multiple Access Techniques for 5G Wireless Networks and Beyond , 2018 .
[22] Ferdi Kara,et al. BER performances of downlink and uplink NOMA in the presence of SIC errors over fading channels , 2018, IET Commun..
[23] Xiaojun Yuan,et al. Sparsity Learning-Based Multiuser Detection in Grant-Free Massive-Device Multiple Access , 2018, IEEE Transactions on Wireless Communications.
[24] Lu Zhao,et al. Uplink Nonorthogonal Multiple Access Technologies Toward 5G: A Survey , 2018, Wirel. Commun. Mob. Comput..
[25] Jun-Bae Seo,et al. Nonorthogonal Random Access for 5G Mobile Communication Systems , 2018, IEEE Transactions on Vehicular Technology.
[26] Richard D. Gitlin,et al. Enabling slotted Aloha-NOMA for massive M2M communication in IoT networks , 2018, 2018 IEEE 19th Wireless and Microwave Technology Conference (WAMICON).
[27] Richard D. Gitlin,et al. ALOHA-NOMA for Massive Machine-to-Machine IoT Communication , 2018, 2018 IEEE International Conference on Communications (ICC).
[28] Slawomir Stanczak,et al. Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach , 2017, 2018 IEEE International Conference on Communications (ICC).
[29] Branka Vucetic,et al. Ultra-Reliable Low Latency Cellular Networks: Use Cases, Challenges and Approaches , 2017, IEEE Communications Magazine.
[30] Kun Lu,et al. A Survey of Non-Orthogonal Multiple Access for 5G , 2017, 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall).
[31] George K. Karagiannidis,et al. A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends , 2017, IEEE Journal on Selected Areas in Communications.
[32] Sarah J. Johnson,et al. Massive Non-Orthogonal Multiple Access for Cellular IoT: Potentials and Limitations , 2016, IEEE Communications Magazine.
[33] Soo Young Shin,et al. A Virtual User Pairing Scheme to Optimally Utilize the Spectrum of Unpaired Users in Non-orthogonal Multiple Access , 2016, IEEE Signal Processing Letters.
[34] Octavia A. Dobre,et al. Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges , 2016, IEEE Communications Surveys & Tutorials.
[35] Zhifeng Yuan,et al. Multi-User Shared Access for Internet of Things , 2016, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).
[36] Amitava Ghosh,et al. Machine-type communications: current status and future perspectives toward 5G systems , 2015, IEEE Communications Magazine.
[37] Shuangfeng Han,et al. Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends , 2015, IEEE Communications Magazine.
[38] Branka Vucetic,et al. Probabilistic Rateless Multiple Access for Machine-to-Machine Communication , 2015, IEEE Transactions on Wireless Communications.
[39] Mohsen Guizani,et al. Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications , 2015, IEEE Communications Surveys & Tutorials.
[40] Yan Chen,et al. Sparse code multiple access: An energy efficient uplink approach for 5G wireless systems , 2014, 2014 IEEE Global Communications Conference.
[41] Muhammad Ali Imran,et al. Uplink non-orthogonal multiple access for 5G wireless networks , 2014, 2014 11th International Symposium on Wireless Communications Systems (ISWCS).
[42] Alireza Bayesteh,et al. SCMA Codebook Design , 2014, 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall).
[43] Hosein Nikopour,et al. Sparse code multiple access , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).
[44] Hichan Moon,et al. Optimum Power Allocation for Preamble Detection With Channel-Adaptive Random Access , 2013, IEEE Transactions on Wireless Communications.
[45] Puneet Jain,et al. Machine type communications in 3GPP systems , 2012, IEEE Communications Magazine.
[46] Erik Dahlman,et al. 3G Evolution: HSPA and LTE for Mobile Broadband , 2007 .
[47] Li Ping,et al. On interleave-division multiple-access , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).
[48] Muhammad Imran,et al. Non-Orthogonal Multiple Access (NOMA) for Future Radio Access , 2017 .
[49] Kae Won Choi,et al. Hybrid Random Access and Data Transmission Protocol for Machine-to-Machine Communications in Cellular Networks , 2015, IEEE Transactions on Wireless Communications.
[50] David Zhang,et al. Phase , 2009, Encyclopedia of Biometrics.