Equivalent Discrete-Time Channel Modeling for Molecular Communication With Emphasize on an Absorbing Receiver

被引:19
作者
Damrath, Martin [1 ]
Korte, Sebastian [1 ]
Hoeher, Peter Adam [1 ]
机构
[1] Univ Kiel, Fac Engn, Kiel, Germany
关键词
Equivalent discrete-time channel model; molecular communication; nanomachines; DIFFUSION; ARCHITECTURE; SIMULATION; SYSTEMS;
D O I
10.1109/TNB.2017.2648042
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
This paper introduces the equivalent discrete-time channel model (EDTCM) to the area of diffusion-based molecular communication (DBMC). Emphasis is on an absorbing receiver, which is based on the so-called first passage time concept. In the wireless communications community the EDTCM is well known. Therefore, it is anticipated that the EDTCM improves the accessibility of DBMC and supports the adaptation of classical wireless communication algorithms to the area of DBMC. Furthermore, the EDTCM has the capability to provide a remarkable reduction of computational complexity compared to random walk based DBMC simulators. Besides the exact EDTCM, three approximations thereof based on binomial, Gaussian, and Poisson approximation are proposed and analyzed in order to further reduce computational complexity. In addition, the Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm is adapted to all four channel models. Numerical results show the performance of the exact EDTCM, illustrate the performance of the adapted BCJR algorithm, and demonstrate the accuracy of the approximations.
引用
收藏
页码:60 / 68
页数:9
相关论文
共 45 条
[1]   COMPUTER-GENERATION OF POISSON DEVIATES FROM MODIFIED NORMAL-DISTRIBUTIONS [J].
AHRENS, JH ;
DIETER, U .
ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE, 1982, 8 (02) :163-179
[2]   HLA based architecture for molecular communication simulation [J].
Akkaya, Ali ;
Genc, Gaye ;
Tugcu, Tuna .
SIMULATION MODELLING PRACTICE AND THEORY, 2014, 42 :163-177
[3]   Nanonetworks:: A new communication paradigm [J].
Akyildiz, Ian F. ;
Brunetti, Fernando ;
Blazquez, Cristina .
COMPUTER NETWORKS, 2008, 52 (12) :2260-2279
[4]  
[Anonymous], 2012, Nano Commun. Netw., DOI DOI 10.1016/J.NANCOM.2011.09.002
[5]  
[Anonymous], 2010, Nano Commun. Netw.
[6]   Body Area NanoNetworks with Molecular Communications in Nanomedicine [J].
Atakan, Baris ;
Akan, Ozgur B. ;
Balasubramaniam, Sasitharan .
IEEE COMMUNICATIONS MAGAZINE, 2012, 50 (01) :28-34
[7]   OPTIMAL DECODING OF LINEAR CODES FOR MINIMIZING SYMBOL ERROR RATE [J].
BAHL, LR ;
COCKE, J ;
JELINEK, F ;
RAVIV, J .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1974, 20 (02) :284-287
[8]   How bacteria talk to each other: regulation of gene expression by quorum sensing [J].
Bassler, BL .
CURRENT OPINION IN MICROBIOLOGY, 1999, 2 (06) :582-587
[10]   Low-Complexity Adaptive Threshold Detection for Molecular Communication [J].
Damrath, Martin ;
Hoeher, Peter Adam .
IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2016, 15 (03) :200-208