6 results for “dropping probability”

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Research ArticleOpen accessIn the keywordsCross-Layer Design for Combining Adaptive Modulation and Coding with DMMPP Queuing for Wireless NetworksManikandan Arunachalam, Naresh Kumar Babu, Anandan Perumal et al.Resource management and Quality of Service (QoS) are seen as key concerns for many applications in 5G networks since they support millions of linked devices. When sharing information over error-prone wireless networks, these resource management strategies are necessary to fulfill multimedia applications with a minimum throughput guarantee, low error probability, and high tolerated delay. One of the most complex traffic … …Journal of Computer Science, Vol. 19, Issue 6 · 31 May 2023 · 5,419 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsPerformance Analysis of Call Admission Control in WCDMA Systems with Mobility based Interference Margin ReservationS. Malarkkan, V. C. RavichandranThis study presents performance of call admission control and resource reservation schemes based on the mobility of the users in WCDMA cellular systems. In order to guarantee the handoff dropping probability, the mobility of the user is predicted based on a realistic mobility model. The mobility prediction scheme used in this study is used to estimate the set of candidate … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,384 accessesView PDF Cite

Research ArticleOpen accessIn the abstractIRED: An Improved Active Queue Management AlgorithmSamuel Oluwatosin Hassan, Adewole Usman Rufai, Samson Ojo Ogunlere et al.Quality of Service (QoS) of Internet routers is still challenged with the issue of congestion. Active Queue Management (AQM) algorithms aimed at improving end-to-end delay of packets by keeping the average queue size small. This objective is yet to be fully accomplished, especially for interactive services. In this study, an AQM algorithm named Improved Random Early Detection (IRED) algorithm based … …Journal of Computer Science, Vol. 18, Issue 3 · 28 Mar 2022 · 6,597 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMarkov-Modulated Bernoulli-Based Performance Analysis for Gentle BLUE and BLUE Algorithms under Bursty and Correlated TrafficAdeeb Alsaaidah, Mohd Zalisham, Mohd Fadzli, Hussein Abdel-JaberThis paper presents a performance study for Gentle BLUE (GB) under the bursty and correlated properties of aggregated network traffic. The Bernoulli Process (BP) fails to represent the properties of aggregated correlated and bursty traffic, so instead of that, MMBP has been used. MMBP is A 2D discrete-time Markov chain modeling for GB algorithm with two traffic classes, each with … …Journal of Computer Science, Vol. 12, Issue 6 · 30 Jun 2016 · 8,077 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAN INTELLIGENT VERTICAL HANDOVER DECISION ALGORITHM FOR WIRELESS HETEROGENEOUS NETWORKSV. Anantha Narayanan, A. Rajeswari, V. SureshkumarThe Next Generation Wireless Networks (NGWN) should be compatible with other communication technologies to offer the best connectivity to the mobile terminal which can access any IP based services at any time from any network without the knowledge of its user. It requires an intelligent vertical handover decision making algorithm to migrate between technologies that enable seamless mobility, always best … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 13 Feb 2014 · 7,284 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAnalytic Performability Model of Vertical Handoff in Wireless NetworksGowrishankar, G. N. Sekhar, P. S. SatyanarayanaProblem statement: The next generation wireless systems should be designed to support heterogeneous traffic with seamless mobility. A single network alone cannot cope up with such heterogeneous requirements. Hence it is desirable to interoperate between diverse and complementary Radio Access Technologies (RATs). In such system, user will switch between different Radio Access Technologies (RATs) to satisfy the User/application requirement and … …Journal of Computer Science, Vol. 5, Issue 6 · 30 Jun 2009 · 7,230 accessesView PDF Cite