Selena Vasić, D. Milic, N. Petrovic, S. Suljovic, Samir Koničanin
{"title":"基于gpu的α-k- μ衰落和α-η- μ同信道干扰下智慧城市移动网络中断概率建模与仿真框架","authors":"Selena Vasić, D. Milic, N. Petrovic, S. Suljovic, Samir Koničanin","doi":"10.1109/TELFOR52709.2021.9653334","DOIUrl":null,"url":null,"abstract":"In this paper we have conducted an analysis of the receiver with selection combining (SC) in the presence of α-k-µ multipath fading and α-η-µ distributed co-channel interference (CCI). An expression for outage probability (Pout) has been derived and discussed in terms of fading parameters α, k, and µ as well as interference parameter η and number of branches in a diversity receiver. Simulation environment for the proposed scenario is introduced for a network modelling and simulation. The presented General-Purpose Graphics Processing Unit (GPGPU) framework with linear optimization enhances the efficiency of Pout calculations and allows for enhancing the Quality of Service (QoS) and cost reduction of the implementation of this model in smart cities.","PeriodicalId":330449,"journal":{"name":"2021 29th Telecommunications Forum (TELFOR)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"GPU-enabled Framework for Modelling and Simulation of Outage Probability in Smart Cities Mobile Networks Limited by α-k-µ Fading and α-η-µ Co-channel Interference\",\"authors\":\"Selena Vasić, D. Milic, N. Petrovic, S. Suljovic, Samir Koničanin\",\"doi\":\"10.1109/TELFOR52709.2021.9653334\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we have conducted an analysis of the receiver with selection combining (SC) in the presence of α-k-µ multipath fading and α-η-µ distributed co-channel interference (CCI). An expression for outage probability (Pout) has been derived and discussed in terms of fading parameters α, k, and µ as well as interference parameter η and number of branches in a diversity receiver. Simulation environment for the proposed scenario is introduced for a network modelling and simulation. The presented General-Purpose Graphics Processing Unit (GPGPU) framework with linear optimization enhances the efficiency of Pout calculations and allows for enhancing the Quality of Service (QoS) and cost reduction of the implementation of this model in smart cities.\",\"PeriodicalId\":330449,\"journal\":{\"name\":\"2021 29th Telecommunications Forum (TELFOR)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 29th Telecommunications Forum (TELFOR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TELFOR52709.2021.9653334\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 29th Telecommunications Forum (TELFOR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELFOR52709.2021.9653334","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GPU-enabled Framework for Modelling and Simulation of Outage Probability in Smart Cities Mobile Networks Limited by α-k-µ Fading and α-η-µ Co-channel Interference
In this paper we have conducted an analysis of the receiver with selection combining (SC) in the presence of α-k-µ multipath fading and α-η-µ distributed co-channel interference (CCI). An expression for outage probability (Pout) has been derived and discussed in terms of fading parameters α, k, and µ as well as interference parameter η and number of branches in a diversity receiver. Simulation environment for the proposed scenario is introduced for a network modelling and simulation. The presented General-Purpose Graphics Processing Unit (GPGPU) framework with linear optimization enhances the efficiency of Pout calculations and allows for enhancing the Quality of Service (QoS) and cost reduction of the implementation of this model in smart cities.