A Data-Driven Architecture for Personalized QoE Management in 5G Wireless Networks

• DOI: 10.1109/mwc.2016.1500184wc
• Publication Date: 2016-11-16T00:41:52Z
• Authors: Ying Wang; Peilong Li; Lei Jiao; Zhou Su; Nan Cheng; Xuemin Sherman Shen; Ping Zhang
• Keywords: Testbed

With the emergence of a variety new wireless network types, business and QoS in more autonomic, diverse, interactive manner, it is envisioned that era personalized services has arrived, which emphasizes users' requirements service experiences. As result, QoE will become one key features 5G/future networks. In this article, we first review state art research from several perspectives, including definition, influencing factors, assessment methods, models, control methods. Then data-driven architecture for enhancing proposed 5G Under architecture, specifically propose two-step modeling approach to capture strength relationship between users services. Thereafter, preferences user introduced model user's subjectivity toward specific service. comprehension preferences, radio resources can be distributed precisely. Simulation results show overall enhanced by 20 percent, while 96 percent have an improved QoE, validates efficiency architecture.