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2021 IEEE Wireless Communications Letters  
Analysis of a Cooperative Caching-Multicast Strategy in D2D-Aided Networks .  ...  On the Peak Age of Information in NOMA IoT Networks With Stochastic Arrivals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Lei Liu, Howard H.  ...  Chang Tian, An Liu, and Wu Luo 2708 Adaptive Traffic Load in IRSA-NOMA Prioritizing Emergency Devices for 6G Enabled Massive IoT . . . . . . . . . . . . .  ... 
doi:10.1109/lwc.2021.3126353 fatcat:r7cbsea5cffoxacqithmo744zu

Age of Information in Energy Harvesting Aided Massive Multiple Access Networks [article]

Zhengru Fang, Jingjing Wang, Yong Ren, Zhu Han, H. Vincent Poor, Lajos Hanzo
2021 arXiv   pre-print
However, without adaptive time slot (TS) and power allocation schemes, NGMA systems relying on stochastic sampling instants might lead to tardy actions associated both with high age of information (AoI  ...  Our simulation results show that the proposed algorithms are beneficial in terms of yielding a lower peak AoI at a low power consumption in the context of the multiple access protocols considered.  ...  Niya, “Age of information in munications in vehicular networks,” IEEE Transactions on Communica- wireless powered IoT networks: NOMA vs.  ... 
arXiv:2112.12326v1 fatcat:l6hw3ceb3nd6xcvtcpp2kcyfqy

2021 Index IEEE Transactions on Wireless Communications Vol. 20

2021 IEEE Transactions on Wireless Communications  
Note that the item title is found only under the primary entry in the Author Index.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TWC July 2021 4556-4570 Poisson distribution Spatial Distribution of the Mean Peak Age of Information in Wireless Networks.  ... 
doi:10.1109/twc.2021.3135649 fatcat:bgd3vzb7pbee7jp75dnbucihmq

On Optimizing VLC Networks for Downlink Multi-User Transmission: A Survey [article]

Mohanad Obeed, Anas M. Salhab, Mohamed-Slim Alouini, Salam A. Zummo
2018 arXiv   pre-print
energy harvesting and information transmission using the visible light, and the security issue in VLC networks.  ...  Here, we review the new, emerging research in the field of VLC networks and lay out the challenges, technological solutions, and future work predictions.  ...  More details on NOMA in traditional RF networks are provided in [143] , [144] . In VLC networks, researchers are interested only in power domain NOMA (PD-NOMA).  ... 
arXiv:1808.05089v1 fatcat:mchmobeisfbapcex6fclmwi5n4

IoT Connectivity Technologies and Applications: A Survey [article]

Jie Ding, Mahyar Nemati, Chathurika Ranaweera, Jinho Choi
2020 arXiv   pre-print
In particular, we categorize the existing wireless IoT connectivity technologies based on coverage range and review diverse types of connectivity technologies with different specifications.  ...  We expect to see the number of IoT connected devices explosively grows and will reach hundreds of billions during the next few years.  ...  INTRODUCTION In 1999, the MIT Auto-ID center coined the term of the Internet of Things (IoT), for the first time, where the "things" can be any physical object that sends data and communicates with a network  ... 
arXiv:2002.12646v1 fatcat:7wleyjycv5f2nmsrn7tff5xrfq

Relaying in the Internet of Things (IoT): A Survey

Uyoata Uyoata, Joyce Mwangama, Ramoni Adeogun
2021 IEEE Access  
In [106] , the age of information (AoI) for an IoT pair is characterized as a metric for performance analysis of a UAV relay-assisted IoT network.  ...  The performance of a nonorthogonal multiple access (NOMA)-enabled IoT network with relays equipped with buffers is presented in [74] .  ... 
doi:10.1109/access.2021.3112940 fatcat:beo5j6hyd5hwhlxj4mp5vok4sq

2020 Index IEEE Internet of Things Journal Vol. 7

2020 IEEE Internet of Things Journal  
., Rateless-Code-Based Secure Cooperative Transmission Scheme for Industrial IoT; JIoT July 2020 6550-6565 Jamalipour, A., see Murali, S., JIoT Jan. 2020 379-388 James, L.A., see Wanasinghe, T.R.,  ...  ., +, JIoT April 2020 3338-3348 Stochastic Cost Minimization Mechanism Based on Identifier Network for IoT Security.  ...  ., +, JIoT April 2020 2539-2552 Jitter A Spatiotemporal Model for Peak AoI in Uplink IoT Networks: Time Versus Event-Triggered Traffic.  ... 
doi:10.1109/jiot.2020.3046055 fatcat:wpyblbhkrbcyxpnajhiz5pj74a

Modeling and Analysis of Energy Harvesting and Smart Grid-Powered Wireless Communication Networks: A Contemporary Survey [article]

Shuyan Hu, Xiaojing Chen, Wei Ni, Xin Wang, Ekram Hossain
2019 arXiv   pre-print
This article presents a contemporary review of recent breakthroughs on the utilization, redistribution, trading and planning of energy harvested in future wireless networks interoperating with smart grids  ...  The advancements in smart power grid and the advocation of "green communications" have inspired the wireless communication networks to harness energy from ambient environments and operate in an energy-efficient  ...  It can help shift some load in peak time to off-peak time, and thus balance the power consumption in these two periods for the power grid.  ... 
arXiv:1912.13203v1 fatcat:rhnrbxe5wbd3banrfksuxq4oyy

2020 Index IEEE Transactions on Vehicular Technology Vol. 69

2020 IEEE Transactions on Vehicular Technology  
VANETs; TVT Dec. 2020 15933-15946 Hoseini, S.A., Ding, M., Hassan, M., and Chen, Y., Analyzing the Impact of Molecular Re-Radiation on the MIMO Capacity in High-Frequency Bands; TVT Dec. 2020 15458-15471  ...  + Check author entry for coauthors ami-mFading Channels With Integer and Non-Integerm; TVT March 2020 2785-2801 Hoang, T.M., Tran, X.N., Nguyen, B.C., and Dung, L.T., On the Performance of MIMO Full-Duplex  ...  Iterative NDA Positioning Using Angle-of-Arrival Measurements for IoT Sensor Networks.  ... 
doi:10.1109/tvt.2021.3055470 fatcat:536l4pgnufhixneoa3a3dibdma

Traffic Prediction and Fast Uplink for Hidden Markov IoT Models

Eslam Eldeeb, Mohammad Shehab, Anders E. Kalor, Petar Popovski, Hirley Alves
2022 IEEE Internet of Things Journal  
usage, and age of information.  ...  In this work, we present a novel traffic prediction and fast uplink framework for IoT networks controlled by binary Markovian events.  ...  SYSTEM MODEL AND PROBLEM FORMULATION Consider an IoT network, such as NB-IoT, with K IoT devices relay their information to a single BS as depicted in Fig. 2 .  ... 
doi:10.1109/jiot.2022.3195067 fatcat:qux6jynb45bkfou7otparxd6xi

Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence [article]

Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang
2022 arXiv   pre-print
More importantly, associated with free mobility, dynamic channels, and distributed services, the MEC challenges that can be solved by different kinds of RL algorithms are identified, followed by how they  ...  Thanks to the evolved reinforcement learning (RL), upon iteratively interacting with the dynamic and random environment, its trained agent can intelligently obtain the optimal policy in MEC.  ...  Along with the free movement of mobile devices, such stochastic behavior further increases the unpredictability of task arrival in temporal and spatial domains.  ... 
arXiv:2201.11410v4 fatcat:24igkq4kbrb2pjzwf3mf3n7qtq

Towards Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions [article]

Shree Krishna Sharma, Xianbin Wang
2018 arXiv   pre-print
Along with the highlights on the inefficiency of the legacy Random Access (RA) procedure in the mMTC scenario, we then present the key features and channel access mechanisms in the emerging cellular IoT  ...  First, starting with an overview of mMTC features and QoS provisioning issues, we present the key enablers for mMTC in cellular networks.  ...  In addition, in order to ensure that the packets transmitted by an MTC device are within the delay budget, authors in [108] introduced a new MAC element, called Packet Age, with which the device informs  ... 
arXiv:1808.02924v1 fatcat:iplhjubgbrafrdz4temdnfnjqa

Machine type communications: key drivers and enablers towards the 6G era

Nurul Huda Mahmood, Stefan Böcker, Ingrid Moerman, Onel A. López, Andrea Munari, Konstantin Mikhaylov, Federico Clazzer, Hannes Bartz, Ok-Sun Park, Eric Mercier, Selma Saidi, Diana Moya Osorio (+22 others)
2021 EURASIP Journal on Wireless Communications and Networking  
Our main objective is to present a set of research directions considering different aspects for an MTC-optimized 6G network in the 2030-era.  ...  However, it is already becoming evident that some of the more demanding requirements for MTC cannot be fully supported by 5G networks.  ...  While "classical" network dimensioning had to consider the stochastic behavior of humans through corresponding Inter-Arrival Times (IAT) distributions of messages, the behavior of MTC can be far more controlled  ... 
doi:10.1186/s13638-021-02010-5 fatcat:2vv47yjuffaefd2rhg3o4rlxjm

Towards Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions

Shree Krishna Sharma, Xianbin Wang
2019 IEEE Communications Surveys and Tutorials  
Along with the highlights on the inefficiency of the legacy Random Access (RA) procedure in the mMTC scenario, we then present the key features and channel access mechanisms in the emerging cellular IoT  ...  Out of several ML techniques, we focus on the application of low-complexity Q-learning approach in the mMTC scenario along with the recent advances towards enhancing its learning performance and convergence  ...  In addition, in order to ensure that the packets transmitted by an MTC device are within the delay budget, authors in [133] introduced a new MAC element, called Packet Age, with which the device informs  ... 
doi:10.1109/comst.2019.2916177 fatcat:vj7pau7mi5ch5ne6akgvrrtsla

Deep Reinforcement Learning Based Freshness-Aware Path Planning for UAV-Assisted Edge Computing Networks with Device Mobility

Yingsheng Peng, Yong Liu, Dong Li, Han Zhang
2022 Remote Sensing  
To satisfy the freshness requirement of IoT applications, the age of information (AoI) is incorporated as an important performance metric.  ...  Extensive simulation results validate the effectiveness of the proposed freshness-aware path planning scheme and unveil the effects of the moving speed of devices and the UAV on the achieved AoI.  ...  Thus, the evolution of the energy status of the UAV is given by E(t + 1) = E(t) − e total (t). (14) Age of Information For real-time IoT applications, timely information updates/transmission plays a  ... 
doi:10.3390/rs14164016 fatcat:mhwmk54uengs5k7rchotai5zne
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