Intelligence in IoT-Based 5G Networks: Opportunities and Challenges
Abstract
The requirement of high data rates, low latency, efficient use of spectrum, and coexistence of different network technologies are major considerations in Internet of Things (IoT)-based fifth generation (5G) networks. To achieve the above requirements, the incorporation of artificial intelligence (AI) is required to make efficient decisions based on the massive data generated by the large number of IoT devices. AI methods analyze the data to extract patterns and make sense of the data to prescribe action to the end devices. In this work, we first give an overview, discussing the challenges and relevant solutions of the 5G and IoT technologies including the IoT-based 5G enabling technologies. We discuss the need for AI in future IoT-based 5G networks from the perspective of Kipling's method. In addition, we review the intelligent use of spectrum through full duplex and cognitive radio technologies.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The high intelligence of the 6G network directly reflects in communication services such as indoor/outdoor positioning, multi-device management, information search, e-health, surveillance, and cyber security.
“Furthermore, as a human-centric network, the high intelligence of 6G network also directly reflects in a plethora of communication services, e.g., indoor/outdoor positioning, multi-device management, information search, e-health, surveillance, cyber security [36], [71].”
From What should 6G be? (2020) · cites this paper as [71]
Cites
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630 · see citing works
Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C. K., & Zhang, J. C. (2014) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2014.2328098 · Cited by 8,106 · see citing works
Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges
Islam, S. M. R., Avazov, N., Dobre, O. A., & Kwak, K.-S. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2621116 · Cited by 2,458 · see citing works
Internet of Things in the 5G Era: Enablers, Architecture, and Business Models
Palattella, M. R., Dohler, M., Grieco, A., Rizzo, G., Torsner, J., Engel, T., & Ladid, L. (2016) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2016.2525418 · Cited by 1,459 · see citing works
Intelligent 5G: When Cellular Networks Meet Artificial Intelligence
Li, R., Zhao, Z., Zhou, X., Ding, G., Chen, Y., Wang, Z., & Zhang, H. (2017) · IEEE Wireless Communications · doi:10.1109/mwc.2017.1600304wc · Cited by 601 · see citing works
Efficient Energy Management for the Internet of Things in Smart Cities
Ejaz, W., Naeem, M., Shahid, A., Anpalagan, A., & Jo, M. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600218cm · Cited by 492 · see citing works
Khan, A. A., Rehmani, M. H., & Rachedi, A. (2017) · IEEE Wireless Communications · doi:10.1109/mwc.2017.1600404 · Cited by 461 · see citing works
5G Mobile and Wireless Communications Technology
Döhler, M., & Nakamura, T. (2016) · Cambridge University Press eBooks · doi:10.1017/cbo9781316417744 · Cited by 457 · see citing works
A survey on engineering approaches for self-adaptive systems
Krupitzer, C., Roth, F. M., VanSyckel, S., Schiele, G., & Becker, C. (2014) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2014.09.009 · Cited by 442 · see citing works
A survey of advanced techniques for spectrum sharing in 5G networks
Zhang, L., Xiao, M., Wu, G., Alam, M., Liang, Y.-C., & Li, S. (2017) · IEEE Wireless Communications · doi:10.1109/mwc.2017.1700069 · Cited by 321 · see citing works
Sharma, S. K., Bogale, T. E., Le, L. B., Chatzinotas, S., Wang, X., & Ottersten, B. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2773628 · Cited by 248 · see citing works
Security challenges in the internet of things
Chasaki, D., & Mansour, C. (2015) · International Journal of Space-Based and Situated Computing · doi:10.1504/ijssc.2015.070945 · Cited by 88 · see citing works
Arridha, R., Sukaridhoto, S., Pramadihanto, D., & Funabiki, N. (2017) · International Journal of Space-Based and Situated Computing · doi:10.1504/ijssc.2017.086821 · Cited by 71 · see citing works
Funabiki, N., Pramadihanto, D., Arridha, R., & Sukaridhoto, S. (2017) · International Journal of Space-Based and Situated Computing · doi:10.1504/ijssc.2017.10008038 · Cited by 56 · see citing works
Hybrid Beamforming Designs for Massive MIMO Millimeter-Wave Heterogeneous Systems
Castanheira, D., Lopes, P., Silva, A., & Gameiro, A. (2017) · IEEE Access · doi:10.1109/access.2017.2762361 · Cited by 55 · see citing works
Flagged first, then by citations
1 of the 16 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Dang, S., Amin, O., Shihada, B., & Alouini, M.-S. (2020) · Nature Electronics · doi:10.1038/s41928-019-0355-6 · Cited by 1,790 · see citing works
Shafique, K., Khawaja, B. A., Sabir, F., Qazi, S., & Mustaqim, M. (2020) · IEEE Access · doi:10.1109/access.2020.2970118 · Cited by 1,401 · see citing works
Morocho-Cayamcela, M. E., Lee, H., & Lim, W. (2019) · IEEE Access · doi:10.1109/access.2019.2942390 · Cited by 421 · see citing works
Ahmad, I., Shahabuddin, S., Kumar, T., Okwuibe, J., Gurtov, A., & Ylianttila, M. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2916180 · Cited by 366 · see citing works
Fernández‐Caramés, T. M., & Fraga‐Lamas, P. (2018) · Electronics · doi:10.3390/electronics7120405 · Cited by 392 · see citing works
Alsharif, M. H., Kelechi, A. H., Albreem, M. A. M., Chaudhry, S. A., Zia, M. S., & Kim, S. (2020) · Symmetry · doi:10.3390/sym12040676 · Cited by 361 · see citing works
Gupta, S., Modgil, S., Bhattacharyya, S., & Bose, I. (2021) · Annals of Operations Research · doi:10.1007/s10479-020-03856-6 · Cited by 374 · see citing works
Realizing the Potential of the Internet of Things for Smart Tourism with 5G and AI
Wang, W. W., Kumar, N., Chen, J., Gong, Z., Kong, X., Wei, W., & Gao, H. (2020) · IEEE Network · doi:10.1109/mnet.011.2000250 · Cited by 295 · see citing works
Internet of Things in Marine Environment Monitoring: A Review
Guobao, X., Shi, Y., Sun, X., & Shen, W. (2019) · Sensors · doi:10.3390/s19071711 · Cited by 272 · see citing works
Internet of Ships: A Survey on Architectures, Emerging Applications, and Challenges
Aslam, S., Michaelides, M. P., & Herodotou, H. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2993411 · Cited by 261 · see citing works
Cloud-Edge Orchestration for the Internet of Things: Architecture and AI-Powered Data Processing
Wu, Y. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3014845 · Cited by 248 · see citing works
An Energy-Efficient Framework for Internet of Things Underlaying Heterogeneous Small Cell Networks
Jiang, H., Xiao, Z. Q., Li, Z., Xu, J., Zeng, F., & Wang, D. (2020) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2020.3005908 · Cited by 224 · see citing works
Νομικός, Ν., Gkonis, P. K., Bithas, P. S., & Trakadas, P. T. (2022) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2022.3225590 · Cited by 212 · see citing works
Industrial Internet of Things enabled technologies, challenges, and future directions
Ahmed, S. F., Alam, M. S. B., Hoque, M., Lameesa, A., Afrin, S., Farah, T., Kabir, M., Shafiullah, G., & Muyeen, S. M. (2023) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2023.108847 · Cited by 180 · see citing works
Interference Management in 5G and Beyond Network: Requirements, Challenges and Future Directions
Siddiqui, M. U. A., Qamar, F., Ahmed, F., Nguyễn, Q. N., & Hassan, R. B. (2021) · IEEE Access · doi:10.1109/access.2021.3073543 · Cited by 176 · see citing works
RETRACTED: Intelligent edge computing based on machine learning for smart city
Lv, Z., Chen, D., Lou, R., & Wang, Q. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2020.08.037 · Cited by 168 · see citing works
RetractedA Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends
Sun, P., Shen, S., Wan, Y., Wu, Z., Fang, Z., & Gao, X.-Z. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3372518 · Cited by 172 · see citing works
A survey of 5G network systems: challenges and machine learning approaches
Fourati, H., Mâaloul, R., & Fourati, L. C. (2020) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-020-01178-4 · Cited by 166 · see citing works
Ahmed, S. F., Alam, M. S. B., Afrin, S., Rafa, S. J., Taher, S. B., Kabir, M., Muyeen, S. M., & Gandomi, A. H. (2024) · IEEE Access · doi:10.1109/access.2024.3352508 · Cited by 155 · see citing works
Deep Learning-Constructed Joint Transmission-Recognition for Internet of Things
Lee, C., Lin, J.-W., Chen, P.-H., & Chang, Y.-C. (2019) · IEEE Access · doi:10.1109/access.2019.2920929 · Cited by 123 · see citing works
Balasundaram, A., Routray, S., Prabu, A. V., Krishnan, P., Malla, P. P., & Maiti, M. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3246065 · Cited by 123 · see citing works
Delay-Aware Computation Offloading in NOMA MEC Under Differentiated Uploading Delay
Sheng, M., Dai, Y., Liu, J., Cheng, N., Shen, X., & Yang, Q. (2020) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2020.2968426 · Cited by 122 · see citing works
A comparative study on online machine learning techniques for network traffic streams analysis
Shahraki, A., Abbasi, M., Taherkordi, A., & Jurcut, A. D. (2022) · Computer Networks · doi:10.1016/j.comnet.2022.108836 · Cited by 105 · see citing works
Alhayani, B., Kwekha-Rashid, A. S., Mahajan, H. B., İlhan, H., Uke, N., Alkhayyat, A. H., & Mohammed, H. J. (2022) · Applied Nanoscience · doi:10.1007/s13204-021-02152-4 · Cited by 91 · see citing works
RetractedAn AI-Assisted Smart Healthcare System Using 5G Communication
Pradhan, B., Das, S., Roy, D. S., Routray, S., Benedetto, F., & Jhaveri, R. H. (2023) · IEEE Access · doi:10.1109/access.2023.3317174 · Cited by 91 · see citing works
Ashraf, N., Sheikh, S. A., Khan, S. A., Shayea, I. A. M., & Jalal, M. (2021) · IEEE Access · doi:10.1109/access.2021.3078703 · Cited by 90 · see citing works
Learning automata based energy-efficient AI hardware design for IoT applications
Wheeldon, A., Shafik, R., Rahman, T., Lei, J., Yakovlev, A., & Granmo, O. (2020) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2019.0593 · Cited by 77 · see citing works
Narrowband Internet of Things: A Comprehensive Study
Rastogi, E., Saxena, N., Roy, A., & Shin, D. R. (2020) · Computer Networks · doi:10.1016/j.comnet.2020.107209 · Cited by 76 · see citing works
Probabilistic Spectrum Sensing Based on Feature Detection for 6G Cognitive Radio: A Survey
Ivanov, A., Tonchev, K., Poulkov, V. K., & Manolova, A. H. (2021) · IEEE Access · doi:10.1109/access.2021.3106235 · Cited by 75 · see citing works
DualFog-IoT: Additional Fog Layer for Solving Blockchain Integration Problem in Internet of Things
Memon, R. A., Li, J., Nazeer, M. I., Khan, A. N., & Ahmed, J. (2019) · IEEE Access · doi:10.1109/access.2019.2952472 · Cited by 68 · see citing works
Internet of Water Things: A Remote Raw Water Monitoring and Control System
Silva, A. C. D., Muñoz, R., Quezada, Á., Neto, A. V. L., Hassan, M. M., & de Albuquerque, V. H. C. (2021) · IEEE Access · doi:10.1109/access.2021.3062094 · Cited by 67 · see citing works
QoE-Driven Content-Centric Caching With Deep Reinforcement Learning in Edge-Enabled IoT
He, X., Wang, K., & Xu, W. (2019) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2019.2937608 · Cited by 63 · see citing works
BLOCIS: Blockchain-Based Cyber Threat Intelligence Sharing Framework for Sybil-Resistance
Gong, S., & Lee, C. (2020) · Electronics · doi:10.3390/electronics9030521 · Cited by 53 · see citing works
Delay Minimization for NOMA-Enabled Mobile Edge Computing in Industrial Internet of Things
Tuong, V. D., Noh, W., & Cho, S. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2021.3117968 · Cited by 46 · see citing works
Citywide Cellular Traffic Prediction Based on a Hybrid Spatiotemporal Network
Zhang, D., Liu, L., Xie, C., Yang, B., & Liu, Q. (2020) · Algorithms · doi:10.3390/a13010020 · Cited by 45 · see citing works
A Compact Hemispherical Beam-Coverage Phased Array Antenna Unit for 5G mm-Wave Applications
Bang, J., & Choi, J. (2020) · IEEE Access · doi:10.1109/access.2020.3013068 · Cited by 40 · see citing works
5G Network Security Issues, Challenges, Opportunities and Future Directions: A Survey
Humayun, M., Hamid, B., Jhanjhi, N. Z., Suseendran, G., & Talib, M. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1979/1/012037 · Cited by 39 · see citing works
Cognitive Balance for Fog Computing Resource in Internet of Things: An Edge Learning Approach
Liao, S., Wu, J., Mumtaz, S., Li, J., Morello, R., & Guizani, M. (2020) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2020.3026580 · Cited by 39 · see citing works
King, D. J., Hettak, K., Chaharmir, M. R., & Gupta, S. (2023) · IEEE Transactions on Components Packaging and Manufacturing Technology · doi:10.1109/tcpmt.2023.3235616 · Cited by 37 · see citing works
Wang, X., Zhang, X., Wang, S., Xiao, J., & Tao, X. (2023) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2023.3284214 · Cited by 37 · see citing works
Bio-Inspired Network Security for 5G-Enabled IoT Applications
Saleem, K., Alabduljabbar, G., Al-Rowais, N., Al-Muhtadi, J. F., Imran, M. A., & Rodrigues, J. J. P. C. (2020) · IEEE Access · doi:10.1109/access.2020.3046325 · Cited by 37 · see citing works
A Secure and Efficient Trust Model for Wireless Sensor IoTs Using Blockchain
Javaid, N. (2022) · IEEE Access · doi:10.1109/access.2022.3140401 · Cited by 37 · see citing works
Self-citationEltohamy, M. S., Tawfiq, M. H., Ahmed, M. M. R., Alaas, Z. M., Faiya, B. M. A., Ahmed, I., Youssef, H., & Raouf, A. (2025) · Energy Conversion and Management X · doi:10.1016/j.ecmx.2025.101138 · Cited by 43 · see citing works
Dynamic AI-IoT: Enabling Updatable AI Models in Ultralow-Power 5G IoT Devices
Alselek, M., Calero, J. M. A., & Wang, Q. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3340858 · Cited by 34 · see citing works
Wang, C., Abdo, I., Liu, C., da Gomez, C., Mayeda, J. C., Herdian, H., Wang, W., Fu, X., You, D., Shehata, A. B., et al. (2024) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2024.3353067 · Cited by 34 · see citing works
Enhancing 5G Small Cell Selection: A Neural Network and IoV-Based Approach
Alablani, I. A., & Arafah, M. A. (2021) · Sensors · doi:10.3390/s21196361 · Cited by 33 · see citing works
Optimization of network topology robustness in IoTs: A systematic review
Changazi, S. A., Bakhshi, A. D., Yousaf, M., Mohsin, S. M., Akber, S. M. A., Abazeed, M. B., & Ali, M. (2024) · Computer Networks · doi:10.1016/j.comnet.2024.110568 · Cited by 30 · see citing works
High-Isolation Array Antenna Design for 5G mm-Wave MIMO Applications
Abbasi, N. A., Virdee, B. S., Din, I. U., Ullah, S., Althuwayb, A. A., Rashid, N., Soruri, M., See, C. H., & Alibakhshikenari, M. (2024) · Journal of Infrared Millimeter and Terahertz Waves · doi:10.1007/s10762-024-01027-3 · Cited by 29 · see citing works
Blockchain Enabled IoT Edge Computing
Mendki, P. (2019) · International Conference on Blockchain Technology (ICBCT) · doi:10.1145/3320154.3320166 · Cited by 28 · see citing works
Towards Beyond 5G Future Wireless Networks with focus towards Indoor Localization
Ahmed, Q. Z., Hafeez, M., Khan, F. A., & Lazaridis, P. I. (2020) · International Conference on Communications and Networking (ComNet) · doi:10.1109/comnet47917.2020.9306084 · Cited by 29 · see citing works
From ideas to entrepreneurial opportunity: A study on AI
Ge, B., Wang, Q., & Yao, M. (2022) · Systems Research and Behavioral Science · doi:10.1002/sres.2874 · Cited by 32 · see citing works
Heuristic Min-conflicts Optimizing Technique for Load Balancing on Fog Computing
Kamal, M. B., Javaid, N., Naqvi, S. A. A., Butt, H., Saif, T., & Kamal, M. D. (2018) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-319-98557-2_19 · Cited by 28 · see citing works
Self-citation5G Enabled Technologies for Smart Education
Dake, D. K., & Adjei, B. (2019) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2019.0101228 · Cited by 30 · see citing works
A High-End IoT Devices Framework to Foster Beyond-Connectivity Capabilities in 5G/B5G Architecture
Mishra, D., Zema, N. R., & Natalizio, E. (2021) · IEEE Communications Magazine · doi:10.1109/mcom.001.2000504 · Cited by 28 · see citing works
Feasibility and Challenges of 5G Network Deployment in Least Developed Countries (LDC)
Rahman, A., Arabi, S., & Rab, R. (2021) · Wireless Sensor Network · doi:10.4236/wsn.2021.131001 · Cited by 27 · see citing works
A 640-Gb/s 4 × 4-MIMO D-Band CMOS Transceiver Chipset
Liu, C., Li, Z., Yamazaki, Y., Herdian, H., Wang, C., Tian, A., Sakamaki, J., Nie, H., Fu, X., Kato, S., et al. (2024) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2024.3515640 · Cited by 26 · see citing works
Belgaum, M. R., Alansari, Z., Musa, S., Mansoor, M., & S., M. (2021) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2021.0120109 · Cited by 26 · see citing works
Prospects and Challenges of AI and Neural Network Algorithms in MEMS Microcantilever Biosensors
Wang, J., Xu, B., Shi, L., Zhu, L., & Xi, W. (2022) · Processes · doi:10.3390/pr10081658 · Cited by 27 · see citing works
A framework for assessing AI ethics with applications to cybersecurity
Bruschi, D., & Diomede, N. (2022) · AI and Ethics · doi:10.1007/s43681-022-00162-8 · Cited by 18 · see citing works
Highly effective EMI shielding composites for 5G Ka-band frequencies
Wang, Y., & Li, C. (2023) · Applied Materials Today · doi:10.1016/j.apmt.2023.102041 · Cited by 25 · see citing works
Ambient backscatter communication-based smart 5G IoT network
Liu, Q., Sun, S., Yuan, X., & Zhang, Y. (2021) · EURASIP Journal on Wireless Communications and Networking · doi:10.1186/s13638-021-01917-3 · Cited by 25 · see citing works
Artificial Intelligence Self-Organising (AI-SON) Frameworks for 5G-Enabled Networks: A Review
Dake, D. K. (2023) · Journal of Computer and Communications · doi:10.4236/jcc.2023.114003 · Cited by 24 · see citing works
Internet of things (IoT): Applications, trends, issues and challenges
Srivastava, N., & Pandey, P. (2022) · Materials Today Proceedings · doi:10.1016/j.matpr.2022.09.490 · Cited by 24 · see citing works
Wang, X., Xu, Y., Chen, C., Yang, X., Chen, J., Ruan, L., Xu, Y., & Chen, R. (2020) · IEEE Access · doi:10.1109/access.2020.2994198 · Cited by 23 · see citing works
Integration of context awareness in Internet of Agricultural Things
Javaid, N. (2021) · ICT Express · doi:10.1016/j.icte.2021.09.004 · Cited by 23 · see citing works
Self-citation6G Wireless Communication Networks
Haque, M. A., Ahmad, S., Abboud, A. J., Hossain, M. A., Kumar, K., Haque, S., Sonal, D., Rahman, M., & Senapathy, M. (2024) · International Journal of Business Data Communications and Networking · doi:10.4018/ijbdcn.339889 · Cited by 22 · see citing works
Two novel semi-quantum-reflection protocols applied in connected vehicle systems with blockchain
Zhu, H., Wang, X., Chen, C., & Kumari, S. (2020) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2020.106714 · Cited by 20 · see citing works
Gossip Learning of Personalized Models for Vehicle Trajectory Prediction
Dinani, M. A., Holzer, A., Nguyen, H., Marsan, M. A., & Rizzo, G. (2021) · IEEE Wireless Communications and Networking Conference Workshops (WCNCW) · doi:10.1109/wcncw49093.2021.9420038 · Cited by 20 · see citing works
iBuilding: artificial intelligence in intelligent buildings
Serrano, W. (2021) · Neural Computing and Applications · doi:10.1007/s00521-021-05967-y · Cited by 20 · see citing works
Liu, P., Li, Y., Xu, H., Tian, W., Zhao, Z., Liu, Y., Zhao, H. F., Sun, Z., Wu, J., & Xu, L. (2023) · Macromolecular Materials and Engineering · doi:10.1002/mame.202300301 · Cited by 19 · see citing works
Towards Enhancing the Robustness of Scale-Free IoT Networks by an Intelligent Rewiring Mechanism
Abbas, S. M., Javaid, N., Azar, A. T., Qasim, U., Khan, Z. A., & Aslam, S. (2022) · Sensors · doi:10.3390/s22072658 · Cited by 18 · see citing works
Self-citationMiniature Millimeter-Wave 5G Antenna Fabricated Using Anodized Aluminum Oxide for Mobile Devices
Choi, J., Choi, J., & Hwang, W. (2020) · ACS Omega · doi:10.1021/acsomega.0c03795 · Cited by 16 · see citing works
Changazi, S. A., Bakhshi, A. D., Yousaf, M., Islam, M. H., Mohsin, S. M., Band, S. S., Alsufyani, A., & Bourouis, S. (2022) · Computer Communications · doi:10.1016/j.comcom.2022.06.030 · Cited by 15 · see citing works
Optimized Hysteresis Region Authenticated Handover for 5G HetNets
Nyangaresi, V. O., Abduljabbar, Z. A., Sibahee, M. A. A., Ibrahim, A., Yahya, A. N., Abduljaleel, I. Q., & Abood, E. W. (2022) · Algorithms for intelligent systems · doi:10.1007/978-981-19-1653-3_9 · Cited by 14 · see citing works
Uplink Interference Analysis of F-OFDM Systems Under Non-Ideal Synchronization
Chen, H., Hua, J., Wen, J., Zhou, K., Li, J., Wang, D., & You, X. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.3041938 · Cited by 14 · see citing works
Artificial intelligence-based load optimization in cognitive Internet of Things
Yao, W., Khan, F., Jan, M. A., Shah, N., Rahman, I. U., Yahya, A., & Rehman, A. U. (2020) · Neural Computing and Applications · doi:10.1007/s00521-020-04814-w · Cited by 13 · see citing works
Jain, A., Singh, T., Sharma, S., & Prajapati, V. (2021) · Interdisciplinary Journal of Information Knowledge and Management · doi:10.28945/4675 · Cited by 13 · see citing works
Satellite synergy: Navigating resource allocation and energy efficiency in IoT networks
Abdullah, M. I., Khan, H. Z., Fakhar, U., Akhtar, A. N., & Ansari, S. (2024) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2024.103966 · Cited by 12 · see citing works
Andrawes, A., Nordin, R., Albataineh, Z. M., & Alsharif, M. H. (2021) · Sustainability · doi:10.3390/su132112112 · Cited by 12 · see citing works
Unification of RF energy harvesting schemes under mixed Rayleigh-Rician fading channels
Raza, W., Nasir, H., & Javaid, N. (2020) · AEU - International Journal of Electronics and Communications · doi:10.1016/j.aeue.2020.153244 · Cited by 12 · see citing works
Self-citationInternet of Intelligent Things: Injection of Intelligence into IoT Devices
Singh, S. P., Solanki, A., Singh, T., & Tayal, A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818576-6.00005-8 · Cited by 12 · see citing works
NEMO: Building the Next Generation Meta Operating System
Chochliouros, I. P., Pages, E., Alcázar-Fernández, A., Zahariadis, T. B., Velivassaki, T.-H., Skianis, C. A., Rossini, R., Belesioti, M., Drosos, N., Bakiris, E., et al. (2023) · doi:10.1145/3624486.3624504 · Cited by 11 · see citing works
Deep Learning Based Speed Profiling for Mobile Users in 5G Cellular Networks
Saffar, I., Morel, M.-L. A., Singh, K., & Viho, C. (2019) · Globecom · doi:10.1109/globecom38437.2019.9013508 · Cited by 11 · see citing works
Internet of Things Overview: Architecture, Technologies, Application, and Challenges
Ahmid, M., Kazar, O., & Barka, E. S. (2024) · Advances in information security · doi:10.1007/978-3-031-47590-0_1 · Cited by 10 · see citing works
A Roadmap Toward Prospects for IoT Enabled 5G Networks
Singh, G., Singh, J., Mitra, D., & Prabha, C. (2023) · International Conference on Computing Methodologies and Communication (ICCMC) · doi:10.1109/iccmc56507.2023.10084183 · Cited by 10 · see citing works
Mileiko, S., Bunnam, T., Xia, F., Shafik, R., Yakovlev, A., & Das, S. (2019) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2019.0166 · Cited by 10 · see citing works
Toward Optimal Rate-Delay Tradeoff for Computation Over Multiple Access Channel
Chen, L., Zhao, N., Chen, Y., Yu, F. R., & Wei, G. (2021) · IEEE Transactions on Communications · doi:10.1109/tcomm.2021.3068493 · Cited by 11 · see citing works
Mobile User Environment Detection using Deep Learning based Multi-Output Classification
Saffar, I., Morel, M.-L. A., Amara, M., Singh, K., & Viho, C. (2019) · IFIP Wireless and Mobile Networking Conference (WMNC) · doi:10.23919/wmnc.2019.8881474 · Cited by 10 · see citing works
Cloud-Network Slicing MANO Towards an Efficient IoT-Cloud Continuum
Maciel, D., Neto, E. P., Costa, K. B., Lima, M. P. S., Lopes, V. G., Neto, A., Silva, F. S. D., & Sampaio, S. (2021) · Journal of Grid Computing · doi:10.1007/s10723-021-09588-6 · Cited by 9 · see citing works
5G Technology Readiness in Education among Malay Bumiputera Students in Shah Alam
Mokhsin, M., Zainol, A. S., Addenan, N. S., Adnan, W. A. W., Som, M. H. M., & Said, S. (2022) · International Journal of Computing and Digital Systems · doi:10.12785/ijcds/110141 · Cited by 9 · see citing works
Zhao, L., & Xu, Y. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/4793654 · Cited by 9 · see citing works
Ji, S., & Mishra, A. (2024) · Advances in systems analysis, software engineering, and high performance computing book series · doi:10.4018/979-8-3693-5643-2.ch003 · Cited by 8 · see citing works
Managing 5G Networks - A Review of FSO Challenges and Solutions
Kulshreshtha, P., & GARG, A. K. (2020) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt49239.2020.9225591 · Cited by 8 · see citing works
Gao, H., Zhang, S., Su, Y., & Diao, M. (2020) · Wireless Communications and Mobile Computing · doi:10.1155/2020/6136298 · Cited by 8 · see citing works
IPv6 Security Issues: A Systematic Review Following PRISMA Guidelines
Abdulla, S., & Al-Ashoor, A. (2022) · Baghdad Science Journal · doi:10.21123/bsj.2022.7312 · Cited by 8 · see citing works
Machine Learning-Based Blind Signal Detection for Ambient Backscatter Communication Systems
Zhu, H., Zhan, J., Lam, C., Chen, B., & Ng, B. K. (2024) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2024.3457532 · Cited by 7 · see citing works
iBuilding: Artificial Intelligence in Intelligent Buildings
Serrano, W. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-29933-0_33 · Cited by 7 · see citing works
Impact of AI in 5G Wireless Technologies and Communication Systems
Sivasundari, A., & Ananthajothi, K. (2022) · doi:10.1002/9781119821809.ch2 · Cited by 7 · see citing works
Arora, O., & Yadav, K. K. S. (2022) · 2022 8th International Conference on Signal Processing and Communication (ICSC) · doi:10.1109/icsc56524.2022.10009169 · Cited by 6 · see citing works
Enhanced Robustness Strategy for IoT in Smart Cities Based on Data Driven Approach
Qureshi, T. N., Javaid, N., Butt, S. A., Khan, W., Changazi, S. A., & Iqbal, M. M. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-15035-8_105 · Cited by 6 · see citing works
Self-citation
- Authors
- Javaid, N., Sher, A., Nasir, H., & Guizani, N.
- Affiliations
- COMSATS University Islamabad (PK)
- International Islamic University, Islamabad (PK)
- Purdue University West Lafayette (US)
- Venue
- IEEE Communications Magazine
- Published
- 2018-10
- Volume
- 56
- Issue
- 10
- Pages
- 94-100
- ISSN
- 0163-6804 (ISSN-L)
- 1558-1896
- OpenAlex
- W2897398959
- Cited by
- 189
- References
- 16
- Citations by year
- 2026: 8 · 2025: 15 · 2024: 25 · 2023: 27 · 2022: 33 · 2021: 30 · 2020: 32 · 2019: 16 · 2018: 3
- FWCI
- 12.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Communications Magazine (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Data and IoT Technologies
- Keywords
- Internet of Things, 5G, artificial intelligence, full-duplex communication, cognitive radio, low latency, network coexistence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
