{"title":"Priority Based Minimum Delay Algorithm for Channel Allocation in MIMO-OFDM System","authors":"T. Kannan, E. Kanniga","doi":"10.1109/ICCIC.2018.8782368","DOIUrl":null,"url":null,"abstract":"Improving the data speed in the wireless communication is a great challenge on nowadays, because the bandwidth available is limited to a particular frequency. But the number of network users is drastically increased due to digital modern world with smart applications like internet television, high definition video conferencing, online gaming applications and many applications thusly. Where this type of problems cannot be solved by physical change in the network, but technically change the way of communication will improve in the better data quality network. This can be achieved in many ways and in this article; we tried the minimum delay algorithm for the channel allocation in network, while considering the factors like signal to noise ratio (SNR), multipath delay, mean square error (MSE) and many are the delay making things, it is due to network structure. These factors can be reduced by reconstructing the network to our ideal model, but practically it's very complex and difficult. We concentrate on the channel allocation technique can be slightly modified according to our network, delay may be minimized and speed of the network will be fortified. In this thesis, efficient priority based dynamic scheduling algorithm [9] was slightly modified for specified network (WLAN) and simulation was done with MIMO-OFDM system which results in improvement of >10% and results is compared to existing algorithm.","PeriodicalId":355098,"journal":{"name":"2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIC.2018.8782368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Improving the data speed in the wireless communication is a great challenge on nowadays, because the bandwidth available is limited to a particular frequency. But the number of network users is drastically increased due to digital modern world with smart applications like internet television, high definition video conferencing, online gaming applications and many applications thusly. Where this type of problems cannot be solved by physical change in the network, but technically change the way of communication will improve in the better data quality network. This can be achieved in many ways and in this article; we tried the minimum delay algorithm for the channel allocation in network, while considering the factors like signal to noise ratio (SNR), multipath delay, mean square error (MSE) and many are the delay making things, it is due to network structure. These factors can be reduced by reconstructing the network to our ideal model, but practically it's very complex and difficult. We concentrate on the channel allocation technique can be slightly modified according to our network, delay may be minimized and speed of the network will be fortified. In this thesis, efficient priority based dynamic scheduling algorithm [9] was slightly modified for specified network (WLAN) and simulation was done with MIMO-OFDM system which results in improvement of >10% and results is compared to existing algorithm.