In trendy wireless communication networks, the inflated shopper demands for multi-type applications and top-quality services became a distinguished trend and placed hefty pressure on the wireless network. The standard of expertise (QoE) has received a lot of attention and has become a key performance measuring for the appliance and repair so as to fulfill the users' expectations. The management of the resource is crucial in wireless networks, particularly the QoE-based resource allocation. One amongst the effective ways for resource allocation management is correct application identification. In this chapter, the authors propose a unique deep learning-based technique for application identification. It explores QoE for wireless communication and reviews the restrictions of the standard identification strategies. After that, a deep learning-based technique is projected for mechanically extracting the options and characteristics.
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