Review of quality of service performance in wireless LANs and 3G multimedia application services

Baghaei, Nilufar; Hunt, Ray

doi:10.1016/j.comcom.2004.05.019

Cited by 23 publications

(15 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The two main 3G technologies are UMTS (Universal Mobile Telecommunications System) and CDMA2000 (Code Division Multiple Access 2000). UMTS is a good option for container tracking, as nearly ubiquitous coverage is available in Europe (Baghaei and Hunt, 2004).…”

Section: Wireless Wide Area Networkmentioning

confidence: 99%

Review. Monitoring the intermodal, refrigerated transport of fruit using sensor networks

Ruiz-García

Elorza

Rodríguez-Bermejo

et al. 2007

Span. j. agric. res.

View full text Add to dashboard Cite

Most of the fruit in Europe is transported by road, but the saturation of the major arteries, the increased demand for freight transport, and environmental concerns all indicate there is a need to change this means of transport. A combination of transport modes using universal containers is one of the solutions proposed: this is known as intermodal transport. Tracking the transport of fruit in reefer containers along the supply chain is the means by which product quality can be guaranteed. The integration of emerging information technologies can now provide real-time status updates. This paper reviews the literature and the latest technologies in this area as part of a national project. Particular emphasis is placed on multiplexed digital communication technologies and wireless sensor networks.

show abstract

Section: Wireless Wide Area Networkmentioning

confidence: 99%

Review. Monitoring the intermodal, refrigerated transport of fruit using sensor networks

Ruiz-García

Elorza

Rodríguez-Bermejo

et al. 2007

Span. j. agric. res.

View full text Add to dashboard Cite

show abstract

“…Necessary requirement for conversational services is an end-to-end delay smaller than 250 ms [33], but, according to [34], the desired delay in real time video applications is approximately 40 ms. For non-real time video applications the limit value is higher and should not be greater than 10 s, as stated in [35]. This limitation for buffering latency also influences our method for efficient power savings.…”

Section: Parameter Selection Taking Signaling Traffic and Buffering Lmentioning

confidence: 99%

Power consumption analysis of constant bit rate video transmission over 3G networks

Ukhanova¹,

Belyaev²,

Wang³

et al. 2012

Computer Communications

View full text Add to dashboard Cite

a b s t r a c tThis paper presents an analysis of the power consumption of video data transmission with constant bit rate over 3G mobile wireless networks. The work includes the description of the radio resource control transition state machine in 3G networks, followed by a detailed power consumption analysis and measurements of the radio link power consumption. Based on this description and analysis, we propose our power consumption model. The power model was evaluated on a smartphone Nokia N900, which follows 3GPP Release 5 and 6 supporting HSDPA/HSUPA data bearers. We also propose a method for parameter selection for the 3GPP transition state machine that allows to decrease power consumption on a mobile device taking signaling traffic, buffer size and latency restrictions into account. Furthermore, we discuss the gain in power consumption vs. PSNR for transmitted video and show the possibility of performing power consumption management based on the requirements for the video quality.

show abstract

“…Thus, a multiservice mobile or wireless network is formed by four service classes: handoff of a real time service, new call of a real time service; handoff of a nonreal time service, new call of a non-real time service [8]. Real time services may be voice telephony service, video service, etc [9]. On the other hand, non-real time service are, in major of works, wireless access to the Internet.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Integrated Call Admission Control and Scheduling in Mobile Cellular Networks

Carvalho

Cruz

Martins

et al. 2006

2006 IEEE Ninth International Symposium on Spread Spectrum Techniques and Applications

View full text Add to dashboard Cite

Abstract-In this paper we consider the problem of Radio Resource Management (RRM) in mobile cellular networks offering not only real time services (voice services), but also data services. In particular, we investigate integrated Call Admission Control (CAC) and Scheduling policies that can provide a good tradeoff between the QoS of voice and data services, considering two alternatives, and developing analytical techniques for the assessment of their performance metrics. In all schemes the admission criteria is based on network load (channels and buffer occupancies); and the CAC also performs service classes differentiation reserving some radio channels in order to favor handoff and data packet traffics over new call connection requests. The scheduling policies are FIFO and Priority Queueing (PQ). Analysis of these schemes are outline and the results show that: PQ may be perfectly employed when it is needed to employ service classes differentiation between the non-real time traffics; and that FIFO achieves acceptable results when all data packet traffic have to be queued in only one buffer. The results also show that the use of the reserved radio channels to carry out the data packet traffic can enhance the QoS perceived by the lower priority data packet traffic.

show abstract

Review of quality of service performance in wireless LANs and 3G multimedia application services

Cited by 23 publications

References 11 publications

Review. Monitoring the intermodal, refrigerated transport of fruit using sensor networks

Review. Monitoring the intermodal, refrigerated transport of fruit using sensor networks

Power consumption analysis of constant bit rate video transmission over 3G networks

Performance Analysis of Integrated Call Admission Control and Scheduling in Mobile Cellular Networks

Contact Info

Product

Resources

About