Performance modeling and evaluation of data/voice services in wireless networks

Abstract

Application-level performance is a key to the adoption and success of the CDMA 2000. To predict this performance in advance, a detailed end-to-end simulation model of a CDMA network is built to include application traffic characteristics, network architecture, network element details using the proposed simulation methodology. We assess the user-perceived application performance when a RAN and a CN adopt different transport architectures such as ATM and IP. To evaluate the user-perceived quality of voice service, we compare the end-to-end packet delay for different vocoder schemes such as G.711, G.726 (PCM), G.726 (ADPCM), and vocoder bypass scheme. By the simulation results, the vocoder bypass scenario shows 30% performance improvement over the others. We also compare the quality of voice service with and without DPS scheduling scheme. We know that DPS scheme keep the voice delay bound even if the service traffic is high. For data packet performance, HTTP v.1.1 shows better performance than that of HTTP v.1.0 due to the pipelining and TCP persistent connection. We may conclude that IP transport technology is better solution for higher FER environment since the packet overhead of IP is smaller than that of ATM for web browsing data traffic, while it shows opposite effect to the small size voice packet in RAN architecture. We show that the 3G-1X EV-DO system gives much better packet delay performance than 3G-1X RTT. The main conclusion is that end-to-end application-level performance is affected by various elements and layers of the network and thus it must be considered in all phases of the development process.

Resource allocation algorithm considering a priority of service classes for WiMedia UWB system

“…If the priority of the service class newly generated is higher than that of its service class, the device relinquishes the radio resource. At this time, the proposed algorithm uses the dynamic process sharing (DPS) defined in [5] to decide the resource quantities. DPS defines the radio resource ratio according to service classes as follows.…”

“…Each device classifies the traffic into four service classes e.g. conversational, streaming, interactive, and background [3]- [5]. When a device receives beacons, it makes a bitmap based on the table 2, by using the Reserved Field in DRP IE, to identify the allocated resource information.…”

A handover time negotiation mechanism for seamless service in IEEE 802.16E

“…The signal latency and the traffic latency about 95% handover events are less than 194 msec when the conventional handover procedure is used. Especially, the service quality is rapidly deteriorated when handover interruption time is longer than 250 msec [8]. Figure 8 shows handover interruption time when the proposed mechanism is applied to the handover mechanism.…”

Quality of service (QoS) analysis of an Internet traffic trace over gigabit Ethernet

“…Fischer and Bevilacqua used the equation to analyse Internet packet traces [6]. Kim et al used the equation to evaluate the data/voice services in CDMA 2000 systems [7]. The Lindley equation has two related versions; one describes the evolution of packet queueing delay processes and the other is for the evolution of queue length processes.…”