|Title: QoE-driven Joint Radio and Transport Optimized EPS Bearer Rates of Multi-Services in LTE 2015 IEEE Global Communications Conference (GLOBECOM)|
|Written by: Ming Li and Phuong Nga Tran and Xi Li and Andreas Timm-Giel|
|in: 2015 IEEE Global Communications Conference: Wireless Networks (GC' 15 - Wireless Networks) dec 2015|
|Address: San Diego, USA|
Abstract: This paper proposes an efficient optimization algorithm to dynamically control the Evolved Packet System (EPS) bearer rates to transport various services between the UE and Evolved Packet Core (EPC) in a LTE Femtocell network scenario. The algorithm is focused on meeting the Quality of Experience (QoE) requirements of each service and takes joint consideration of limited radio and transport resource so as to leverage the traffic control in LTE Radio Access Network (RAN) and transport network. In case of link congestion applications running on TCP tend to share the capacity equally. However, different traffic types have different QoE behaviors and hence sharing the resource equally will lead to a non-optimal aggregated QoE. The proposed algorithm will solve this problem by considering the QoE of individual application flows. We formulate the problem as a convex optimization problem, which maximizes the aggregated QoE, represented by Mean Opinion Score (MOS) value, of all users using different applications, and then solve it using Lagrangian relaxation method. The performance of our algorithms is investigated and evaluated by simulations. The simulations show that our proposed traffic shaping algorithm results in a significantly better aggregated QoE compared the scheme that with fixed rate traffic shaping, especially in heavily congested scenarios. Moreover, a recommendation on how often to adjust the shaping rates is given based on the complexity and performance investigations.