scholarly journals Concurrent Scanning for High Quality Hand Over Support in Mobile WiMAX Networks

2013 ◽  
Vol 10 (2) ◽  
pp. 1302-1316 ◽  
Author(s):  
Prabhu Reddy ◽  
Arathi R Shankar ◽  
V.sambasiva Rao

Mobile WiMAX is IEEE 802.16e standard established for mobile broadband wireless access (BWA). Mobility in WiMAX system is an important issue when the mobile station (MS) moves and be handover between base stations (BSs). This issue causes an unnecessary neighboring BS scanning and association, handover delay, and MAC overhead which may affect real-time applications. The MS movement direction prediction (MMDP) based MS scanning is used to reduce the number of scanning’s required in mobile WiMAX handover process. In this paper with reduction in number of scanning’s we propose to reduce the scanning delay required for evaluated two best target BSs by using concurrent scanning process. Network issues like ideal sectors in WiMAX 2 (IEEE 802.16m), network congestion and fast change in RSS are important parameters which can affect the QoS. With this proposed model we are able to provide the high quality hand over support in mobile WiMAX wherein we are able to solve the above stated network problems. Here on using the concurrent scanning process the authors are able to reduce the scanning delay by 40%. As a part of this paper, network layer parameters called routing protocols are analyzed for hand over support. This analysis shows an efficient routing protocol for real time application and the best effort service. This reviles that fisheye protocol is better to use for smaller network and LANMAR for the larger networks in real time application and IERP protocol is good for best effort services.

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Victoria Sgardoni ◽  
David R. Bull ◽  
Andrew R. Nix

This paper studies the effect of ARQ retransmissions on packet error rate, delay, and jitter at the application layer for a real-time video transmission at 1.03 Mbps over a mobile broadband network. The effect of time-correlated channel errors for various Mobile Station (MS) velocities is evaluated. In the context of mobile WiMAX, the role of the ARQ Retry Timeout parameter and the maximum number of ARQ retransmissions is taken into account. ARQ-aware and channel-aware scheduling is assumed in order to allocate adequate resources according to the level of packet error rate and the number of ARQ retransmissions required. A novel metric, namely,goodput per frame, is proposed as a measure of transmission efficiency. Results show that to attain quasi error free transmission and low jitter (for real-time video QoS), only QPSK 1/2 can be used at mean channel SNR values between 12 dB and 16 dB, while 16QAM 1/2 can be used below 20 dB at walking speeds. However, these modes are shown to result in low transmission efficiency, attaining, for example, a total goodput of 3 Mbps at an SNR of 14 dB, for a block lifetime of 90 ms. It is shown that ARQ retransmissions are more effective at higher MS speeds.


2013 ◽  
Vol 73 (3) ◽  
pp. 839-865 ◽  
Author(s):  
Mohammed Awadh Ben-Mubarak ◽  
Borhanuddin Mohd Ali ◽  
Nor Kamariah Noordin ◽  
Alyani Ismail ◽  
Chee Kyun Ng

Author(s):  
Hazri Raziff Othman ◽  
Darmawaty M. Ali ◽  
Nurul Anis Mohd Yusof ◽  
Ku Siti Syahidah Ku Mohd Noh ◽  
Azlina Idris

2016 ◽  
Vol E99.B (8) ◽  
pp. 1910-1918
Author(s):  
Pongtep POOLNISAI ◽  
Thawatchai MAYTEEVARUNYOO

2016 ◽  
Vol 8 (1) ◽  
pp. 47
Author(s):  
Ammatia Risty ◽  
Rendy Munadi ◽  
Ridha Muldina Negara

IEEE 802.16e-2005 teknologi mobile WiMAX merupakan salah satu alternatif yang dapat memberikan datarate 15 Mbps yang lebih baik daripada teknologi 3G, WLAN, dan lain-lain. Mobile WiMAX juga memberikan cakupan area yang luas. Oleh karena itu, WiMAX mampu memberikan layanan berbagai macam aplikasi multimedia seperti VoIP, IPTV, Video conferencing. dan aplikasi real-time lainnya. Selain itu, Mobile WiMAX juga mendukung mobility secara portable, mobile, dan nomadic. Saat ini IPTV muncul pada mobile phone, yang dinamakan mobile TV dimana layanan IPTV akan dapat diakses dalam keadaan bergerak. Hal itu membutuhkan suatu teknologi yang mendukung mobility namun tetap dapat menerima layanan IPTV dengan baik. Teknologi mobile WiMAX adalah teknologi yang cocok untuk mendukung layanan IPTV khususnya untuk user yang sedang bergerak. Akibat dari user yang bergerak maka memungkinkan user tersebut melakukan handover. Penelitian ini menganalisis parameter unjuk kerja yang mempengaruhi pada mobile TV saat user melakukan  handover  pada jaringan mobile WiMAX seperti jitter, end to end delay, throughput, handover delay dengan skenario perbedaan kecepatan dan perubahan jumlah user dalam satu cakupan area. Berdasarkan hasil simulasi untuk skenario perbedaan kecepatan (maksimum 100 km/jam) diperoleh nilai end to end delay sebesar 23.234 ms, jitter sebesar 0.047 ms, throughput sebesar 637.723 Kbps. Sedangkan skenario jumlah user diperoleh nilai end to end delay 27.218 ms, jitter sebesar 0.057 ms, throughput sebesar 558.881 Kbps. Hasil dari kedua skenario menunjukkan bahwa saat kecepatan dan jumlah user naik maka parameter kualitas layanan turun namun masih memenuhi syarat kualitas layanan Mobile TV (IPTV).


2020 ◽  
Vol 2020 (14) ◽  
pp. 378-1-378-7
Author(s):  
Tyler Nuanes ◽  
Matt Elsey ◽  
Radek Grzeszczuk ◽  
John Paul Shen

We present a high-quality sky segmentation model for depth refinement and investigate residual architecture performance to inform optimally shrinking the network. We describe a model that runs in near real-time on mobile device, present a new, highquality dataset, and detail a unique weighing to trade off false positives and false negatives in binary classifiers. We show how the optimizations improve bokeh rendering by correcting stereo depth misprediction in sky regions. We detail techniques used to preserve edges, reject false positives, and ensure generalization to the diversity of sky scenes. Finally, we present a compact model and compare performance of four popular residual architectures (ShuffleNet, MobileNetV2, Resnet-101, and Resnet-34-like) at constant computational cost.


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