CSI-RS Enhancements in Massive MIMO - Abdul Majeed, Salman Basheer;Nalband, Abdul Haq;Pankhaniya, Keval
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Massive MIMO technology is pivotal for 5G and next-generation wireless networks, offering enhanced network capacity, spectrum efficiency, and scalability. By leveraging advanced beamforming techniques, it ensures robust signal quality, reduced interference, and dependable connectivity, even in dense environments. However, precise Channel State Information (CSI) remains a critical challenge due to rapid signal fading and interference. This book explores the optimization of CSI-Reference Signal (CSI-RS) in Massive MIMO, emphasizing the benefits of increasing CSI-RS ports for improving…mehr

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Produktbeschreibung
Massive MIMO technology is pivotal for 5G and next-generation wireless networks, offering enhanced network capacity, spectrum efficiency, and scalability. By leveraging advanced beamforming techniques, it ensures robust signal quality, reduced interference, and dependable connectivity, even in dense environments. However, precise Channel State Information (CSI) remains a critical challenge due to rapid signal fading and interference. This book explores the optimization of CSI-Reference Signal (CSI-RS) in Massive MIMO, emphasizing the benefits of increasing CSI-RS ports for improving throughput, reliability, and coverage. Through in-depth analysis, simulations, and theoretical modeling, it highlights the transformative impact of enhanced CSI accuracy on resource allocation and Quality of Service. Providing insights into overcoming existing challenges, this work offers a pathway for optimizing next-generation network design and innovation.
Autorenporträt
Mr. Abdul Majeed: M. Tech in Digital Communications & Networking from REVA University with expertise in programming, wireless communication, and system design. Experienced in AI/ML, MATLAB, and web development. Passionate about research in 5G security, lung cancer classification, and predictive health analytics.