In recent years, with the advancement of wireless communication networks, there is an increasing demand especially on mobile Internet services. Users’ Quality of Experience (QoE) becomes one of the main issues for future wireless networks when designing personal and customized services to maintain and attract more users. Furthermore, the research on wireless resource management is moving forward from enhancing objective system performance to improving users’ subjective experience. A better QoE-oriented resource allocation policy is preferred and many new challenges are brought out accordingly, including how to quantify and measure QoE, how to design a set of unified wireless resource management strategies and how to make use of a huge amount of available data to derive an optimal QoE model, etc. Therefore, personalized QoE management, efficient estimation, and optimal resource allocation need to be studied and implemented in future wireless networks.
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