scholarly journals Memory reduction methods for IEEE 802.16e mobile station

2011 ◽  
Vol 8 (3) ◽  
pp. 129-135
Author(s):  
Seung-yerl Lee ◽  
Dong-sun Kim ◽  
Kyu-yeul Wang ◽  
Duck-jin Chung
Keyword(s):  
Mobile Station ◽  
Ieee 802.16E ◽  
Reduction Methods ◽  
Memory Reduction

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
Keyword(s):  
Real Time ◽  
Mobile Station ◽  
Base Stations ◽  
Movement Direction ◽  
Mobile Wimax ◽  
Ieee 802.16E ◽  
High Quality ◽  
Best Effort ◽  
Scanning Process ◽  
Real Time Application

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.

scholarly journals ANALISIS PENGARUH PERGERAKAN USER TERHADAP KUALITAS SINYAL SUARA PADA JARINGAN WIMAX IEEE 802.16

2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Aris Hartaman ◽  
Uke Kurniawan Usman ◽  
Budi Prasetya
Keyword(s):  
Mobile Station ◽  
Multipath Fading ◽  
Ieee 802.16 ◽  
Wireless Access ◽  
Doppler Spread ◽  
Line Of Sight ◽  
Ieee 802.16E ◽  
Mobile Wireless ◽  
Broadband Wireless ◽  
Non Line Of Sight

WiMAX IEEE 802.16e merupakan non-line of sight (NLOS) Broadband Wireless Access (BWA) yang dikeluarkan oleh WiMAX Forum yang dikembangkan berdasarkan standar IEEE 802.16. Teknologi ini mampu diimplementasikan untuk mobile wireless access yang dapat memenuhi kebutuhan layanan data dengan bandwidth yang cukup besar 20 MHz, coverage yang luas 50 km, dengan bitrate yang tinggi 75 Mbps. Pergerakan user/mobile station akan mempengaruhi kualitas layanan suara pada jaringan WiMAX IEEE 802.16e yaitu akan terjadinya efek doppler spread yang mengakibatkan perubahan frekuensi terhadap mobile station yang bergerak. Penelitian mengenai pengaruh pergerakan user/mobile station terhadap kualitas sinyal suara pada jaringan WiMAX IEEE 802.16e ini dilakukan dengan cara membuat simulasi sistem transmisi WiMAX 802.16e yang dilewatkan pada kanal yang bersifat multipath fading karena bersifat komunikasi non-line of Sight (NLOS) dengan cara terdistribusi rayleigh dan noise AWGN dengan pemodelan kanal propagasi SUI (Stanford University Interim). Parameter kecepatan user/mobile station yang disimulasikan mulai 0 km/jam (user statis), <15km/jam (user berjalan kaki), 16-50 km/jam (user berkendaraan sedang), sampai dengan 51-120 km/jam (user kecepatan tinggi). Hasil simulasi dan analisa memperlihatkan bahwa kecepatan pergerakan user sangat berpengaruh terhadap fluktuasi fading pada kanal rayleigh. Berdasarkan standar komunikasi digital yaitu nilai BER sebesar 10, nilai Eb/No yang dihasilkan dibawah 12 dB untuk modulasi BPSK kecepatan user bisa mencapai 50 km/jam, sementara untuk QPSK kecepatan maksimal user dibawah 50 km/jam, dan 8PSK kecepatan user dibawah 30 km/jam. Sehingga modulasi yang paling baik untuk system ini adalah BPSK.

WLC17-5: Improving Mobile Station Energy Efficiency in IEEE 802.16e WMAN by Burst Scheduling

2006 ◽  
Author(s):  
Jinglin Shi ◽  
Gengfa Fang ◽  
Yi Sun ◽  
Jihua Zhou ◽  
Zhongcheng Li ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Mobile Station ◽  
Ieee 802.16E ◽  
Burst Scheduling

scholarly journals Energy Cycle Optimization of Mobile Phones Using A Sleep Cycle Optimization Algorithm

2019 ◽  
Vol 9 (4) ◽  
pp. 4389-4391
Author(s):  
S. Murawwat ◽  
I. Manzoor ◽  
H. Akash ◽  
J. Ahmed
Keyword(s):  
Energy Consumption ◽  
Mobile Phones ◽  
Mobile Station ◽  
Mobile Network ◽  
Base Station ◽  
The Other ◽  
Sleep Cycle ◽  
Sleep Mode ◽  
Ieee 802.16E ◽  
T Distribution

Researchers and mobile network operators are dealing with the steep rise in energy consumption of mobile phones. A massive amount of phones are available in the market which are updating services from time to time. The problem lies in their battery drainage in response to the usage of internet-based applications including online streaming, multimedia requests, social networking usage and many more. In this research, a new technique is proposed and evaluated for energy optimization in mobile phones by exploiting the listening cycle of the mobile station (MS) wake-up mode while connected to the base station (BS) that is connected to a mobile network based on IEEE 802.16e. An MS cannot communicate with the BS if it is in the sleep mode while the other is in the wake-up mode. Service time and sojourn time are assumed to be exponential and based on t-distribution. The confidence interval comes up to 95% for our technique. The relative error is computed between the earlier techniques available and the approximated proposed one. Results show that there is a considerable improvement in energy consumption as compared to the other available techniques.

Speech Emotion Recognition Based on Sparse Representation

2013 ◽  
Vol 38 (4) ◽  
pp. 465-470 ◽  
Author(s):  
Jingjie Yan ◽  
Xiaolan Wang ◽  
Weiyi Gu ◽  
LiLi Ma
Keyword(s):  
Dimensionality Reduction ◽  
Emotion Recognition ◽  
Least Squares ◽  
Partial Least Squares ◽  
Partial Least Squares Regression ◽  
Speech Emotion Recognition ◽  
Least Squares Regression ◽  
Computer Science Pedagogy ◽  
Reduction Methods ◽  
Analysis Computer

Abstract Speech emotion recognition is deemed to be a meaningful and intractable issue among a number of do- mains comprising sentiment analysis, computer science, pedagogy, and so on. In this study, we investigate speech emotion recognition based on sparse partial least squares regression (SPLSR) approach in depth. We make use of the sparse partial least squares regression method to implement the feature selection and dimensionality reduction on the whole acquired speech emotion features. By the means of exploiting the SPLSR method, the component parts of those redundant and meaningless speech emotion features are lessened to zero while those serviceable and informative speech emotion features are maintained and selected to the following classification step. A number of tests on Berlin database reveal that the recogni- tion rate of the SPLSR method can reach up to 79.23% and is superior to other compared dimensionality reduction methods.

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