In: Enabling Technologies and Architectures for Next-Generation Networking Capabilities, IGI Global, 2019, ISBN: 2327-3305.
In the past few years, it's observed that cellular operators have experienced a fast growth of mobile broadband subscribers and traffic volume per subscriber. Simultaneously, operators are moving from a single to a multi-service offering by adding new services. This chapter presents a survey of the Quality of Service (QoS) drivers in LTE and LTE-Advanced, focusing on IP Frameworks and IP Services. It also includes a detailed list and description of the resource management mechanisms, such as power saving, admission control, scheduling and resource allocation that play a vital role in QoS. The authors describe the State-of-the-Art in IP frameworks and Services such as video, VoIP, Video on Demand (VoD). Also, resource management mechanisms are described such as Energy efficiency, admission control, and scheduling. In the end, the authors mentioned the future directions about QoS in 5G networks.
Sarigiannidis, Antonios; Nicopolitidis, Petros
In: IET Networks, 5 (3), pp. 56–63, 2016.
Fibre wireless (FiWi) access networks constitute a promising candidate to meet the demanding challenges of the modern bandwidth-hungry services and applications. Due to the dynamic nature of the network traffic in access domains, the bandwidth allocation process has to provide a fair and effective coordination between the users including an efficient quality-of-service (QoS) plan. However, the majority of the bandwidth allocation schemes neglect the measured QoS parameters, such as latency, jitter, and packet loss. In addition, the fairness issue is not always taken into account. As a result, the packet delivery of sensitive data streams is often problematic and the QoS guarantees are not addressed or even totally ignored. In this study, the authors present a novel bandwidth allocation policy which applies an efficient weighted-based, QoS-aware schedule in modern FiWi networks with fairness support. The innovation behind the proposed scheme lies in the direct association of the measured QoS parameters with the applied fair bandwidth allocation process.