Abstract
This paper presents an end-to-end Quality of Service (QoS) model for assessing the performance of data services over networks with wireless access. The proposed model deals with performance degradation across protocol layers using a bottom-up strategy, starting with the physical layer and moving on up to the application layer. This approach makes it possible to analytically assess performance at different layers, thereby facilitating a possible end-to-end optimization process. As a representative case, a scenario where a set of mobile terminals connected to a streaming server through an IP access node has been studied. UDP, TCP, and the new TCP-Friendly Rate Control (TFRC) protocols were analyzed at the transport layer. The radio interface consisted of a variable-rate multiuser and multichannel subsystem, including retransmissions and adaptive modulation and coding. The proposed analytical QoS model was validated on a real-time emulator of an end-to-end network with wireless access and proved to be very useful for the purposes of service performance estimation and optimization.
Highlights
Quality of Service (QoS) over networks with wireless access is a common research topic and is often studied in relation to end-to-end QoS or cross-layer architectures
Most authors focus on particular network elements or domains or on specific protocol layers, such as congestion control schemes for wireless multimedia at the transport layer (TCP-friendly) [1] or QoS-scheduling techniques at the radio interface [2]
Since TCP-Friendly Rate Control (TFRC) only includes the congestion control mechanism, losses remaining at the transport layer come from noncorrected errors at the radio link, and TFRC delay is similar to the network delay (DL3)
Summary
Quality of Service (QoS) over networks with wireless access is a common research topic and is often studied in relation to end-to-end QoS or cross-layer architectures. Seamless connectivity requires wireless and wired networks to operate in a coordinated manner in order to support packet data services with different QoS requirements. In such scenarios, data service performance assessment is usually addressed through active terminal monitoring over real networks [3]. A small number of works in the literature describe a general framework for end-to-end QoS control One such end-to-end QoS framework for streaming services in 3G mobile networks is considered in [4], analyzing the interaction between UMTS and IETF’s protocols and mechanisms. The work presented in [7] proposes an adaptive protocol suite for optimizing service performance over wireless networks, including rate adaptation, congestion.
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