Hybrid model for throughput evaluation of orthogonal frequency division multiple access networks
Data throughput is an important metric used in the performance evaluation of the next generation cellular networks such as long-term evolution (LTE) and LTE-advanced. To evaluate the performance of these networks, Monte Carlo simulation schemes are usually used. Such simulations do not provide the t...
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doaj-83f4ff3f9ba4461e848dad22fda1b0b02021-04-02T13:20:08ZengWileyThe Journal of Engineering2051-33052014-03-0110.1049/joe.2013.0260Hybrid model for throughput evaluation of orthogonal frequency division multiple access networksShyam Babu Mahato0Tien Van Do1Ben Allen2Enjie Liu3Jie Zhang4University of BedfordshireBudapest University of Technology and EconomicsUniversity of BedfordshireUniversity of BedfordshireUniversity of SheffieldData throughput is an important metric used in the performance evaluation of the next generation cellular networks such as long-term evolution (LTE) and LTE-advanced. To evaluate the performance of these networks, Monte Carlo simulation schemes are usually used. Such simulations do not provide the throughput of intermediate call state; instead it gives the overall performance of this network. The authors propose a hybrid model consisting of both analysis and simulation. The benefit of this model is that the throughput of any possible call state in the system can be evaluated. Here, the probability of possible call distribution is first obtained by analysis, which is used as input to the event-driven-based simulator to calculate the throughput of a call state. Comparison is made between throughput obtained from the author's hybrid model with that obtained from event-driven-based simulation. Numerical results are presented and show good agreement between both the proposed hybrid model and the simulation. The maximum difference of relative throughput between their hybrid model and the simulation is found in the interval of (0.04 and 1.06%) over a range of call arrival rates, mean holding times and number of resource blocks in the system.http://digital-library.theiet.org/content/journals/10.1049/joe.2013.0260frequency division multiple accessOFDM modulationMonte Carlo methodsLong Term Evolutiondiscrete event simulationcellular radioorthogonal frequency division multiple access networksdata throughputperformance evaluationnext generation cellular networkslong-term evolutionLTE-advancedMonte Carlo simulationcall stateevent-driven-based simulationcall arrival ratesmean holding times |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shyam Babu Mahato Tien Van Do Ben Allen Enjie Liu Jie Zhang |
spellingShingle |
Shyam Babu Mahato Tien Van Do Ben Allen Enjie Liu Jie Zhang Hybrid model for throughput evaluation of orthogonal frequency division multiple access networks The Journal of Engineering frequency division multiple access OFDM modulation Monte Carlo methods Long Term Evolution discrete event simulation cellular radio orthogonal frequency division multiple access networks data throughput performance evaluation next generation cellular networks long-term evolution LTE-advanced Monte Carlo simulation call state event-driven-based simulation call arrival rates mean holding times |
author_facet |
Shyam Babu Mahato Tien Van Do Ben Allen Enjie Liu Jie Zhang |
author_sort |
Shyam Babu Mahato |
title |
Hybrid model for throughput evaluation of orthogonal frequency division multiple access networks |
title_short |
Hybrid model for throughput evaluation of orthogonal frequency division multiple access networks |
title_full |
Hybrid model for throughput evaluation of orthogonal frequency division multiple access networks |
title_fullStr |
Hybrid model for throughput evaluation of orthogonal frequency division multiple access networks |
title_full_unstemmed |
Hybrid model for throughput evaluation of orthogonal frequency division multiple access networks |
title_sort |
hybrid model for throughput evaluation of orthogonal frequency division multiple access networks |
publisher |
Wiley |
series |
The Journal of Engineering |
issn |
2051-3305 |
publishDate |
2014-03-01 |
description |
Data throughput is an important metric used in the performance evaluation of the next generation cellular networks such as long-term evolution (LTE) and LTE-advanced. To evaluate the performance of these networks, Monte Carlo simulation schemes are usually used. Such simulations do not provide the throughput of intermediate call state; instead it gives the overall performance of this network. The authors propose a hybrid model consisting of both analysis and simulation. The benefit of this model is that the throughput of any possible call state in the system can be evaluated. Here, the probability of possible call distribution is first obtained by analysis, which is used as input to the event-driven-based simulator to calculate the throughput of a call state. Comparison is made between throughput obtained from the author's hybrid model with that obtained from event-driven-based simulation. Numerical results are presented and show good agreement between both the proposed hybrid model and the simulation. The maximum difference of relative throughput between their hybrid model and the simulation is found in the interval of (0.04 and 1.06%) over a range of call arrival rates, mean holding times and number of resource blocks in the system. |
topic |
frequency division multiple access OFDM modulation Monte Carlo methods Long Term Evolution discrete event simulation cellular radio orthogonal frequency division multiple access networks data throughput performance evaluation next generation cellular networks long-term evolution LTE-advanced Monte Carlo simulation call state event-driven-based simulation call arrival rates mean holding times |
url |
http://digital-library.theiet.org/content/journals/10.1049/joe.2013.0260 |
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