{"title":"QoS-constrained area spectral efficiency in ultra-reliable and low-latency industrial wireless networks","authors":"Bo Chang","doi":"10.23919/APCC.2017.8304074","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new metric, i.e., QoS-constrained area spectral efficiency (ASE), to analyze the downlink performance of the ultra-reliable and low-latency communications (URLLC) in industrial wireless networks. We first study the difference between the URLLC capacity and the conventional Shannon capacity. Then, we discuss the ASE performance under the constraints of both stringent end-to-end (E2E) delay and transmission reliability. Based on this, we formulate an ASE maximizing problem with power and QoS constraints. Finally, we propose a sub-optimal algorithm to obtain the power allocation by distributed method. Simulation results show the performance of the proposed method.","PeriodicalId":320208,"journal":{"name":"2017 23rd Asia-Pacific Conference on Communications (APCC)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 23rd Asia-Pacific Conference on Communications (APCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/APCC.2017.8304074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
In this paper, we propose a new metric, i.e., QoS-constrained area spectral efficiency (ASE), to analyze the downlink performance of the ultra-reliable and low-latency communications (URLLC) in industrial wireless networks. We first study the difference between the URLLC capacity and the conventional Shannon capacity. Then, we discuss the ASE performance under the constraints of both stringent end-to-end (E2E) delay and transmission reliability. Based on this, we formulate an ASE maximizing problem with power and QoS constraints. Finally, we propose a sub-optimal algorithm to obtain the power allocation by distributed method. Simulation results show the performance of the proposed method.