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Smart city article details
| Title | Converging Horizons: Synergies Of 6G Wireless Communication, Machine Learning, And Embedded Systems For Intelligent Connectivity |
|---|---|
| ID_Doc | 16087 |
| Authors | Subramanian R.S.; Ramana T.V.; Ramana K.V.; Prabha S.; Nivaskumar V. |
| Year | 2025 |
| Published | The Intersection of 6G, AI/Machine Learning, and Embedded Systems: Pioneering Intelligent Wireless Technologies |
| DOI | http://dx.doi.org/10.1201/9781003540212-4 |
| Abstract | This review explores the interaction between embedded systems, machine learning, and 6G wireless communication, highlighting advancements in intelligent wireless technology. It explores AI and machine learning’s transformative roles, focusing on embedded systems in intelligent wireless solutions as 5G evolves to 6G. Cognitive radio networks and AI-driven spectrum allocation enable dynamic spectrum management, while AI enhances network optimization, resource distribution, and self-adaptive capabilities. Deep learning advances modulation, coding, and language processing, benefiting network administration and customer service. Embedded systems, vital for the Internet of Things and edge computing, enable real-time operations with energy-efficient hardware. Signal and image processing innovations including intelligent antennas, compression, and noise reduction improve data transmission. Data enables predictive maintenance, security anomaly detection, and big data analytics. Federated learning optimizes latency-sensitive applications. The survey also covers sensor data fusion, energy-saving protocols, and IoT application in healthcare and agriculture. Wireless technologies regulate energy, traffic, and promote sustainability in smart cities. Effective key management, AI-based threat detection, and data interchange with privacy protection are security and privacy factors. The conclusion discusses quantum computing’s impact on wireless networks and quantum cryptography. This multidisciplinary survey charts a route for intelligently linked futures. © 2025 selection and editorial matter, Shruti Sharma, Ashutosh Sharma, and Trinh Van Chien. |
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