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Titlebook: Deep Learning in Wireless Communications; Haijun Zhang,Ning Yang Book 2025 The Editor(s) (if applicable) and The Author(s), under exclusiv

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Führungsmythen und ein Blick nach vornal growth. This creates problems with limited spectrum resources and growing communication needs. In this context, unsupervised learning is applied to resource allocation to better meet the actual needs and to uncover the hidden resource utilization patterns and rules. Especially in optimizing conti
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the absence of prior information. The technology of channel encoding recognition holds potential applications in two main areas: Firstly, for link adaptation in the field of intelligent communication, and secondly, for information warfare under non-cooperative communication conditions.
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ches and routers) are responsible for data transmission and control plane processing. Network administrators need to configure these devices one by one, which makes the control and management of the entire network complicated and rigid. SDN separates the control plane and data plane of the network s
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Software Defined Networking,e, which makes the control and management of the entire network complicated and rigid. SDN separates the control plane and data plane of the network so that the network control logic can be abstracted from the physical device and centralized in a centralized software called controller for management and configuration.
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Modellentwicklung und Hypothesen,d access. However, with the increasing computational power of computers and advancements in cryptographic attack techniques, traditional encryption technologies may be vulnerable, thus necessitating more advanced security mechanisms to address these challenges.
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