MIMO Communications Based on Molecular Diffusion

被引:0
作者
Meng, Ling-San [1 ]
Yeh, Ping-Cheng [1 ]
Chen, Kwang-Cheng [1 ]
Akyildiz, Ian F.
机构
[1] Natl Taiwan Univ, Grad Inst Commun Engn, Commun & Networks Sci CoWorkS Lab, Taipei 10764, Taiwan
来源
2012 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) | 2012年
关键词
Molecular communication; diffusion process; MIMO; diversity technique; spatial multiplexing;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Diffusion-based communication refers to the transfer of information using molecules as message carriers whose propagation is based on the law of molecular diffusion. Path loss can have a major impact on the link quality in molecular communication as the signal strength is shown inversely proportional to the cube of the communication distance. In this paper, various diversity techniques for Multi-Input Multi-Output (MIMO) transmissions based on molecular diffusion are proposed to improve the communication performance in nanonetworks in the presence of Multi-User Interference (MUI). Analogous to radio communication, the concept of diversity and Spatial Multiplexing (SM) can be successfully applied in molecular communication. To the best of our knowledge, our paper is the first which investigates the aspects of MIMO transmissions for molecular communication. Numerical results show that the proposed diversity techniques can successfully lower the error rate. Further performance improvement can be obtained by properly allocating molecules among the transmission nodes if the Channel State Information (CSI) is available at the transmitter end. To optimize the system throughput, a dynamic switching mechanism between the diversity mode and the Spatial Multiplexing (SM) mode can be employed.
引用
收藏
页码:5380 / 5385
页数:6
相关论文
共 21 条
[1]   Nanonetworks:: A new communication paradigm [J].
Akyildiz, Ian F. ;
Brunetti, Fernando ;
Blazquez, Cristina .
COMPUTER NETWORKS, 2008, 52 (12) :2260-2279
[2]  
[Anonymous], P NSTI NAN C NANOTEC
[3]  
[Anonymous], 2009, PROC IEEE ICCCN
[4]  
Atakan B, 2007, 2007 2ND BIO-INSPIRED MODELS OF NETWORKS, INFORMATION AND COMPUTING SYSTEMS (BIONETICS), P31
[5]   OPTIMAL DATA FUSION IN MULTIPLE SENSOR DETECTION SYSTEMS [J].
CHAIR, Z ;
VARSHNEY, PK .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1986, 22 (01) :98-101
[6]  
Einstein Albert., 1956, INVESTIGATION THEORY
[7]   Molecular communication options for long range nanonetworks [J].
Gine, Lluis Parcerisa ;
Akyildiz, Ian F. .
COMPUTER NETWORKS, 2009, 53 (16) :2753-2766
[8]   Mobile Ad Hoc Nanonetworks with Collision-Based Molecular Communication [J].
Guney, Aydin ;
Atakan, Baris ;
Akan, Ozgur B. .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2012, 11 (03) :353-366
[9]   Nanoscale Materials and Devices for Future Communication Networks [J].
Islam, M. Saif ;
Logeeswaran, V. J. .
IEEE COMMUNICATIONS MAGAZINE, 2010, 48 (06) :112-120
[10]  
Llatser I., 2011, IEEE INFOCOM 2011 - IEEE Conference on Computer Communications. Workshops, P467, DOI 10.1109/INFCOMW.2011.5928858