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Artificial Intelligence Applications and Self-Learning 6G Networks for Smart Cities Digital Ecosystems: Taxonomy, Challenges, and Future Directions

Leila Ismail, Rajkumar Buyya
2022 Sensors  
Published papers on the topic discuss either the requirements of applications via a top-down approach or the network requirements in terms of agility, performance, and energy saving using a down-top perspective  ...  Industries and academia have started to design 6G networks and propose the use of AI in its protocols and operations.  ...  Ren, Gu, and Wei [48] Traffic Prediction Network traffic predictions focus on predicting future traffic using previous traffic data.  ... 
doi:10.3390/s22155750 fatcat:kecdmc72b5cejkkkcm7fmtv54u

Resource Management and Quality of Service Provisioning in 5G Cellular Networks [article]

Sam Kayyali
2020 arXiv   pre-print
With the commercial launch of 5G technologies and fast pace of expansion of cellular network infrastructure, it is expected that cellular and mobile networks traffic will exponentially increase.  ...  In addition, new services are expected to spread widely, such as the Internet of Things connected to mobile networks. This will add additional burden in terms of traffic load.  ...  In this paper, a prediction model for the traffic flow was developed based on long short-term memory (LSTM).  ... 
arXiv:2008.09601v1 fatcat:uypfps3bxzailjlvgmmjhlhk6y

The prediction of mobile data traffic based on the ARIMA model and disruptive formula in industry 4.0: A case study in Jakarta, Indonesia

Ajib Setyo Arifin, Muhammad Idham Habibie
2020 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
Disruptive technologies, which are caused by the cellular evolution including the Internet of Things (IoT), have significantly contributed data traffic to the mobile telecommunication network in the era  ...  Another model, called a disruptive formula, uses a judgmental approach based on four variables: Political, Economic, Social, Technological (PEST), cost, time to market, and market share.  ...  work was supported by the United States Agency for International Development (USAID) through the Sustainable Higher Education Research Alliance (SHERA) Program for Universitas Indonesia's Scientific Modeling  ... 
doi:10.12928/telkomnika.v18i2.12989 fatcat:ii42m4nrhjcmhjpk7urogljic4

Dynamic Learning Framework for Smooth-Aided Machine-Learning-Based Backbone Traffic Forecasts

Mohamed Khalafalla Hassan, Sharifah Hafizah Syed Ariffin, N. Effiyana Ghazali, Mutaz Hamad, Mosab Hamdan, Monia Hamdi, Habib Hamam, Suleman Khan
2022 Sensors  
Moreover, the proposed framework can dynamically react to all the changes occurring in the data series. Backbone traffic was used to validate the proposed method.  ...  The results showed that the hybrid moving average LSTM (MLSTM) achieved the most remarkable improvement in the training and testing forecasts, with 28% and 24% for long-term evolution (LTE) time series  ...  forecasting accuracy Four days of network traffic Yes (wavelet) No [23] LSTM To predict the number of AMFs in 5G core Control traffic No No 4G traffic utilization [21] LSTM To forecast cellular traffic  ... 
doi:10.3390/s22093592 pmid:35591282 pmcid:PMC9103727 fatcat:fyh7wf2qdvha3gro4uabr25rfq

Wireless Networks and Mobile Communication - 1

2020 2020 8th International Conference on Wireless Networks and Mobile Communications (WINCOM)  
The delegates in WINCOM 2020 will discuss and present the latest advances in next generation networking in wireless networks and mobile communications.  ...  mobile communications in the world.  ...  Index Terms-signal-to-noise ratio, SNR, long short-term memory, LSTM, convolutional neural network, CNN, deep learning, CNN-LSTM Effectiveness of DCFM on different mobility models Nadav Schweitzer and  ... 
doi:10.1109/wincom50532.2020.9272476 fatcat:2xqnm2gaejcobhmbir2fbcl5bi

Deep Learning-Based Solutions for 5G Network and 5G-Enabled Internet of Vehicles: Advances, Meta-Data Analysis, and Future Direction

Mubarak S. Almutairi, Akif Akgul
2022 Mathematical Problems in Engineering  
In this article, we present a survey on the applications of deep learning algorithms for solving problems in 5G mobile network and 5G powered IoV.  ...  The survey pointed out the recent advances on the adoption of deep learning variants in solving the challenges of 5G mobile network and 5G powered IoV.  ...  [84] predicted next packet time based on traffic trace using LSTM. e LSTM predicts the dynamic sleep time in discontinuous reception in 5G wireless mobile networks.  ... 
doi:10.1155/2022/6855435 fatcat:i2rzrbvt4bbwpgebuwhisgilyu

Study and Investigation on 5G Technology: A Systematic Review

Ramraj Dangi, Praveen Lalwani, Gaurav Choudhary, Ilsun You, Giovanni Pau
2021 Sensors  
In wireless communication, Fifth Generation (5G) Technology is a recent generation of mobile networks. In this paper, evaluations in the field of mobile communication technology are presented.  ...  In each evolution, multiple challenges were faced that were captured with the help of next-generation mobile networks.  ...  In [68] , the authors proposed a machine learning-based model to predict the traffic load at a particular location.  ... 
doi:10.3390/s22010026 pmid:35009569 pmcid:PMC8747744 fatcat:3od3vpnzmveujjrgtobstsrrvy

Connected Vehicles: Technology Review, State of the Art, Challenges and Opportunities

Ghadeer Abdelkader, Khalid Elgazzar, Alaa Khamis
2021 Sensors  
In an effort to reach accident-free milestones or drastically reduce/eliminate road fatalities rates and traffic congestion and to create disruptive, transformational mobility systems and services, different  ...  Further examples include environmental sensing, advanced driver-assistance systems, automated driving systems, mobility on demand, and mobility as a service.  ...  Their proposed model embraces the use of time-of-flight (ToF)-based light detection and ranging (LIDAR) sensors for speed calculations along with a prediction algorithm that is dependent on computing the  ... 
doi:10.3390/s21227712 pmid:34833782 pmcid:PMC8622391 fatcat:rigbsfmpzbdbxmityfcosrzlfm

A Survey on Spectrum Management for Unmanned Aerial Vehicles (UAVs)

Mohammed A. Jasim, Hazim Shakhatreh, Nazli Siasi, Ahmad Sawalmeh, Adel Aldalbahi, Ala Al-Fuqaha
2021 IEEE Access  
Existing surveys mostly focus on UAV applications, channel models, and security challenges, with a lack of studies on spectrum management in the context of UAV networks.  ...  In addition, network monitoring, patrolling, and enforcement schemes are identified.  ...  These models can be classified based on the communication technology and operating frequencies as 4G/LTE, 5G, and Wi-Fi. 4G/LTE operates over microwave frequency bands, 5G operates over mmWave bands, while  ... 
doi:10.1109/access.2021.3138048 fatcat:2h5ls7ywo5g3bbz454gqatvkw4

Convergence of Information-Centric Networks and Edge Intelligence for IoV: Challenges and Future Directions

Salahadin Seid Musa, Marco Zennaro, Mulugeta Libsie, Ermanno Pietrosemoli
2022 Future Internet  
In particular, we focus on intelligent edge computing and networking, offloading, intelligent mobility-aware caching and forwarding and overall network performance.  ...  Information-centric networks have emerged as a paradigm promising to cope with the limitations of the current host-based network architecture (TCP/IP-based networks) by providing mobility support, efficient  ...  In [85] , a deep-learning-based content caching framework, DeepCache, is proposed. The popularity of the content is predicted using an LSTM-based model.  ... 
doi:10.3390/fi14070192 fatcat:knlyn5uaurarlhq7a5p66rwrgi

Cellular, Wide-Area, and Non-Terrestrial IoT: A Survey on 5G Advances and the Road Towards 6G [article]

Mojtaba Vaezi, Amin Azari, Saeed R. Khosravirad, Mahyar Shirvanimoghaddam, M. Mahdi Azari, Danai Chasaki, Petar Popovski
2021 arXiv   pre-print
This paper provides a comprehensive survey on existing and emerging communication solutions for serving IoT applications in the context of cellular, wide-area, as well as non-terrestrial networks.  ...  Specifically, wireless technology enhancements for providing IoT access in fifth-generation (5G) and beyond cellular networks, and communication networks over the unlicensed spectrum are presented.  ...  network core (LTE, 4G).  ... 
arXiv:2107.03059v1 fatcat:i7rxlipsd5eojgpx3x5yxioozq

Massive MIMO Systems for 5G and Beyond Networks—Overview, Recent Trends, Challenges, and Future Research Direction

Robin Chataut, Robert Akl
2020 Sensors  
Massive MIMO is one of the key enabling technology for next-generation networks, which groups together antennas at both transmitter and the receiver to provide high spectral and energy efficiency using  ...  Additionally, we discuss crucial open research issues that direct future research in massive MIMO systems for 5G and beyond networks.  ...  The current MIMO technologies associated with 4G/LTE network is unable to handle this huge influx in data traffic with more speed and reliability.  ... 
doi:10.3390/s20102753 pmid:32408531 pmcid:PMC7284607 fatcat:xmyhlmst2bconcwlq5oezoc3zu

2020 Index IEEE Transactions on Vehicular Technology Vol. 69

2020 IEEE Transactions on Vehicular Technology  
., TVT Dec. 2020 16168-16172 Hong, C., Shan, H., Song, M., Zhuang, W., Xiang, Z., Wu, Y., and Yu, X., A Joint Design of Platoon Communication and Control Based on LTE-V2V; 15893-15907 Hong, C.S., see  ...  Revocable Data-Sharing Scheme in 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  ...  ., +, TVT Nov. 2020 14013-14018 Mobility Prediction Based Proactive Dynamic Network Orchestration for Modeling and Analysis of the Uplink Local Delay in MEC-Based VANETs.  ... 
doi:10.1109/tvt.2021.3055470 fatcat:536l4pgnufhixneoa3a3dibdma

5G support for Industrial IoT Applications – Challenges, Solutions, and Research gaps

Pal Varga, Jozsef Peto, Attila Franko, David Balla, David Haja, Ferenc Janky, Gabor Soos, Daniel Ficzere, Markosz Maliosz, Laszlo Toka
2020 Sensors  
The aim of this paper is to identify current research challenges and solutions in relation to 5G-enabled Industrial IoT, based on the initial requirements and promises of both domains.  ...  These areas include IIoT applications and their requirements; mobile edge cloud; back-end performance tuning; network function virtualization; and security, blockchains for IIoT, Artificial Intelligence  ...  Acknowledgments: The authors would like to thank the PhD course entitled "5G Networks, Services and their Synergies with Industrial IoT" that has conceived many ideas and collaboration related to this  ... 
doi:10.3390/s20030828 pmid:32033076 pmcid:PMC7038716 fatcat:cbsr2pao5bffxooaod3l3rlbfe

Future Wireless Communication Technology towards 6G IoT: An Application-Based Analysis of IoT in Real-Time Location Monitoring of Employees Inside Underground Mines by Using BLE

Sushant Kumar Pattnaik, Soumya Ranjan Samal, Shuvabrata Bandopadhaya, Kaliprasanna Swain, Subhashree Choudhury, Jitendra Kumar Das, Albena Mihovska, Vladimir Poulkov
2022 Sensors  
In this context, the next-generation communication technology, i.e., sixth generation (6G), is trying to build up the base to meet the imperative need of future network deployment.  ...  There is a massively growing number of static and mobile IoT devices with a diversified range of speed and bandwidth, along with a growing demand for high data rates, which makes the network denser and  ...  There is always a dependency of the IoT on cellular networks since long-term evolution (LTE) was introduced, which is enhanced as 5G/6G in some specific scenarios.  ... 
doi:10.3390/s22093438 pmid:35591138 pmcid:PMC9103828 fatcat:mq5km6tdhvdydhibgpt2ujcalm
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