Mobile WiMAX performance measurements with focus on different QoS targets

2011 ◽  
Author(s):  
Christoph Ide ◽  
Bjoern Dusza ◽  
Christian Wietfeld
Keyword(s):  
Mobile Wimax ◽  
Performance Measurements

Detection Capability of Downlink Signals in Mobile WiMAX and 3GPP LTE with an FFT-Based UWB Receiver

2013 ◽  
Vol E96.A (1) ◽  
pp. 285-292 ◽  
Author(s):  
Kenichi TAKIZAWA ◽  
Hirotaka YAMANE ◽  
Huan-Bang LI ◽  
Feng LU ◽  
Kohei OHNO ◽  
...  
Keyword(s):  
Mobile Wimax ◽  
Detection Capability ◽  
3Gpp Lte ◽  
Uwb Receiver

SUPPRESSION OF MULTIPLE ACCESS INTERFERENCE IN UPLINK OFDMA OF MOBILE WiMAX

2015 ◽  
Vol 74 (14) ◽  
pp. 1257-1268
Author(s):  
M. Lakshmanan ◽  
P. S. Mallick ◽  
L. Nithyanandan
Keyword(s):  
Multiple Access ◽  
Multiple Access Interference ◽  
Mobile Wimax

Simulation Tool for Assignment Models: SIMASI

2014 ◽  
Vol 13 (8) ◽  
pp. 4723-4728
Author(s):  
Pratiksha Saxena ◽  
Smt. Anjali
Keyword(s):  
Optimization Procedure ◽  
Simulation Tool ◽  
Optimization Strategy ◽  
Performance Measurements ◽  
Integrated Simulation ◽  
Assignment Model ◽  
Classical Models ◽  
Simulation Results ◽  
User Friendly ◽  
Assignment Models

In this paper, an integrated simulation optimization model for the assignment problems is developed. An effective algorithm is developed to evaluate and analyze the back-end stored simulation results. This paper proposes simulation tool SIMASI (Simulation of assignment models) to simulate assignment models. SIMASI is a tool which simulates and computes the results of different assignment models. This tool is programmed in DOT.NET and is based on analytical approach to guide optimization strategy. Objective of this paper is to provide a user friendly simulation tool which gives optimized assignment model results. Simulation is carried out by providing the required values of matrix for resource and destination requirements and result is stored in the database for further comparison and study. Result is obtained in terms of the performance measurements of classical models of assignment system. This simulation tool is interfaced with an optimization procedure based on classical models of assignment system. The simulation results are obtained and analyzed rigorously with the help of numerical examples. 

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