{"title":"基于马尔可夫符号检测的配体受体通道容量","authors":"Muskan Ahuja, Ankit, M. Bhatnagar","doi":"10.1109/ANTS50601.2020.9342784","DOIUrl":null,"url":null,"abstract":"Stochastic representation of ligand receptor binding is important to provide a receiver modeling of the molecular communication system. In this paper, we model the binding of a finite number of ligand receptors on the receiver with discrete time Markov chains. A novel Markov chain model is introduced for the final output which considers the combined effect of responses received on each ligand receptor. Moreover, the maximum rate at which the proposed chemical binding can operate is presented by analytically quantifying the discrete time capacity of the ligand channel for a binary source. The derived capacity analysis clearly articulates the advantage obtained by employing multiple receptors over a single receptor in a biological signaling scenario with a threshold detector giving the final output.","PeriodicalId":426651,"journal":{"name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Capacity of Ligand Receptor Channel with Markovian Symbol Detection\",\"authors\":\"Muskan Ahuja, Ankit, M. Bhatnagar\",\"doi\":\"10.1109/ANTS50601.2020.9342784\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Stochastic representation of ligand receptor binding is important to provide a receiver modeling of the molecular communication system. In this paper, we model the binding of a finite number of ligand receptors on the receiver with discrete time Markov chains. A novel Markov chain model is introduced for the final output which considers the combined effect of responses received on each ligand receptor. Moreover, the maximum rate at which the proposed chemical binding can operate is presented by analytically quantifying the discrete time capacity of the ligand channel for a binary source. The derived capacity analysis clearly articulates the advantage obtained by employing multiple receptors over a single receptor in a biological signaling scenario with a threshold detector giving the final output.\",\"PeriodicalId\":426651,\"journal\":{\"name\":\"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)\",\"volume\":\"138 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANTS50601.2020.9342784\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTS50601.2020.9342784","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Capacity of Ligand Receptor Channel with Markovian Symbol Detection
Stochastic representation of ligand receptor binding is important to provide a receiver modeling of the molecular communication system. In this paper, we model the binding of a finite number of ligand receptors on the receiver with discrete time Markov chains. A novel Markov chain model is introduced for the final output which considers the combined effect of responses received on each ligand receptor. Moreover, the maximum rate at which the proposed chemical binding can operate is presented by analytically quantifying the discrete time capacity of the ligand channel for a binary source. The derived capacity analysis clearly articulates the advantage obtained by employing multiple receptors over a single receptor in a biological signaling scenario with a threshold detector giving the final output.