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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 葉丙成(Ping-Cheng Yeh) | |
| dc.contributor.author | Wei-An Lin | en |
| dc.contributor.author | 林維安 | zh_TW |
| dc.date.accessioned | 2021-05-15T17:55:00Z | - |
| dc.date.available | 2019-08-05 | |
| dc.date.available | 2021-05-15T17:55:00Z | - |
| dc.date.copyright | 2014-09-23 | |
| dc.date.issued | 2014 | |
| dc.date.submitted | 2014-07-21 | |
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Alarcon, 'Networking challenges and principles in diffusion-based molecular communication,' IEEE Wireless Communications, vol. 19, no. 5, pp. 36-41, October 2012. [7] I. F. Akyildiz, F. Fekri, R. Sivakumar, C. Forest, and B. Hammer, 'MoNaCo: fundamentals of molecular nano-communication networks,' IEEE Wireless Communications, vol. 19, no. 5, pp. 12-18, October 2012. [8] S. Kadloor, R. Adve, and A. Eckford, 'Molecular communication using brownian motion with drift,' IEEE Transactions on NanoBioscience, vol. 11, no. 2, pp. 89-99, June 2012. [9] M. Pierobon and I. Akyildiz, Diffusion-based noise analysis for molecular communication in nanonetworks,' IEEE Transactions on Signal Processing, vol. 59, no. 6, pp. 2532-2547, June 2011. [10] M. U. Mahfuz, D. Makrakis, and H. T. Mouftah, 'A generalized strength-based signal detection model for concentration-encoded molecular communication,' in Proceedings of the 8th International Conference on Body Area Networks, 2013, pp. 461-467. [11] M. 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Eckford, 'The delay selector channel: Definition and capacity bounds,' in 2011 12th Canadian Workshop on Information Theory (CWIT), May 2011, pp. 15-18. [16] J. G. Proakis and M. Salehi, Communication Systems Engineering. 5F, No.147, Chung-Ching South Road, Sec.1, Taipei, 10045, Taiwan, R.O.C.: Pearson Education Taiwan Ltd., 2010. [17] M. Haller, C. Heinemann, and R. H. Chow, 'Comparison of secretory responses as measured by membrane capacitance and by amperometry,' Bio-physical Journal, vol. 74, pp. 2100-2113, April 1998. [18] R. S. Chhikara and J. L. Folks, The inverse gaussian distribution: theory, methodology, and applications. New York, NY, USA: Marcel Dekker, Inc., 1989. [19] L.-S. Meng, P.-C. Yeh, K.-C. Chen, and I. Akyildiz, 'A diffusion-based binary digital communication system,' in 2012 IEEE International Conference on Communications (ICC), June 2012, pp. 4985-4989. [20] H. L. V. Trees, Detection, Estimation, and Modulation Theory-Part I. John Wiley and Sons, Inc., 1968. [21] V. H. Poor, An Introduction to Signal Detection and Estimation. Springer-Verlag, 1998. [22] W.-A. Lin, Y.-C. Lee, P.-C. Yeh, and C.-H. Lee, 'Signal detection and ISI cancellation for quantity-based amplitude modulation in diffusion-based molecular communications,' in Proc. IEEE GLOBECOM, December 2012, pp. 4362-4367. [23] A. Eckford, 'Achievable information rates for molecular communication with distinct molecules,' in 2007 2nd BIONETICS, December 2007, pp. 313-315. [24] Y.-P. Hsieh, P.-J. Shih, Y.-C. Lee, P.-C. Yeh, and K.-C. Chen, 'An asynchronous communication scheme for molecular communication,' in 2012 IEEE International Conference on Communications (ICC), 2012, pp. 6177-6182. [25] N.-R. Kim and C.-B. Chae, 'Novel modulation techniques using isomers as messenger molecules for nano communication networks via diffusion,' IEEE Journal on Selected Areas in Communications, vol. 31, no. 12, pp. 847-856, December 2013. [26] ───, 'Novel modulation techniques using isomers as messenger molecules for nano communication networks via diffusion,' IEEE Journal on Selected Areas in Communications, vol. 31, no. 12, pp. 847-856, December 2013. [27] P.-J. Shih, C.-H. Lee, and P.-C. Yeh, 'Channel codes for mitigating intersymbol interference in diffusion-based molecular communications,' in 2012 IEEE Global Communications Conference (GLOBECOM), December 2012, pp. 4228-4232. [28] T. Kadota, 'Simultaneously orthogonal expansion of two stationary gaussian processes examples,' Bell System Technical Journal, vol. 45, pp. 1071-1096, September 1966. [29] A. Hansson and T. M. Aulin, 'On antenna array receiver principles for space-time-selective rayleigh fading channels,' IEEE Transactions on Communications, vol. 48, no. 4, pp. 648-657, April 2000. [30] P. Hansen, 'Computation of the singular value expansion,' Computing, vol. 40, pp. 185-199, September 1988. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/5282 | - |
| dc.description.abstract | Diffusion-based molecular communication has become a promising scheme for communication between nanoscale devices, and various modulation schemes have recently been proposed, including type, quantity, and concentration modulation. In this thesis, we investigate molecular communication by separating it into two categories: coherent molecular communication and non-coherent molecular communication, which are based on the adopted signaling and detection methods. For coherent molecular communication, we study modulations that convey information in molecular quantity or molecular type. Due to the randomness of each molecule in the diffusion channel, problems such as the crossover effect and the inter-symbol interference arise which undermine the system performance. This thesis provides algorithms such as ISI cancellation and threshold-based detection algorithm to deal with the problems. Moreover, it is shown by mathematical derivations and computer simulations that the proposed quantity-type modulation, which is designed against the bad channel effects, has reliable performance. For non-coherent molecular communication, we construct a stochastic model to describe the concentration magnitude sensed by the receiver. The model enables more modulation designs since it is generalized to the case that the transmitter send any continuous wave to the the receiver. It also allows better design for detection algorithm. Amplitude modulation and pulse-position modulation in non-coherent molecular communication are studied and compared by using the proposed expansion-based detection as well as the widely-used sampling-based detection. Through simulation, it is proved that the expansion-based detection outperforms the sampling-based detection. | en |
| dc.description.provenance | Made available in DSpace on 2021-05-15T17:55:00Z (GMT). No. of bitstreams: 1 ntu-103-R01942045-1.pdf: 2228324 bytes, checksum: 926c87542457950e22206147df18536d (MD5) Previous issue date: 2014 | en |
| dc.description.tableofcontents | ABSTRACT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii
LIST OF FIGURES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v CHAPTER 1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . 1 1.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Coherent Molecular Communication . . . . . . . . . . . . . . . . . 2 1.3 Non-coherent Molecular Communication . . . . . . . . . . . . . . . 4 1.4 Thesis Organization . . . . . . . . . . . . . . . . . . . . . . . . . . 4 CHAPTER 2 QUANTITY MODULATION . . . . . . . . . . . . . 6 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.2 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.2.1 Transmission Nano-machine . . . . . . . . . . . . . . . . . 7 2.2.2 Reception Nano-machine . . . . . . . . . . . . . . . . . . . 7 2.2.3 Channel . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.2.4 QM System . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.3 Detection in One-shot Transmission . . . . . . . . . . . . . . . . . 9 2.3.1 Binary Detection . . . . . . . . . . . . . . . . . . . . . . . 9 2.3.2 M-ary Detection . . . . . . . . . . . . . . . . . . . . . . . . 11 2.3.3 Error Rate Analysis . . . . . . . . . . . . . . . . . . . . . . 12 2.4 Serial Transmission and ISI Cancellation . . . . . . . . . . . . . . . 13 2.5 Numerical Results . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.5.1 SER Comparison with and without ISI Cancellation . . . . 15 2.5.2 Performance Under Different Duration of Time Slot . . . . 17 CHAPTER 3 QUANTITY-TYPE MODULATION . . . . . . . . . 18 3.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 3.2 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 3.2.1 Quantity-type Modulation . . . . . . . . . . . . . . . . . . 19 3.2.2 ISI and Noise Effect on Quantity-type Modulation . . . . . 19 3.3 Detection Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . 20 3.3.1 Majority-vote Detection . . . . . . . . . . . . . . . . . . . . 21 3.3.2 Threshold-based Detection . . . . . . . . . . . . . . . . . . 22 3.3.3 Trade-offs when Combating ISI and Noise Effect on Quantity-type Modulation . . . . . . . . . . . . . . . . . . . . . . . . 23 3.4 BER Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 3.4.1 Preliminaries . . . . . . . . . . . . . . . . . . . . . . . . . . 25 3.4.2 Analysis when Background Noise is Negligible . . . . . . . 26 3.4.3 Analysis when Background Noise is not Negligible . . . . . 30 3.4.4 Optimal Choice of Signaling Interval Ts for Threshold-based Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 3.5 Numerical Results . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 3.5.1 Performance when Background Noise is Negligible . . . . . 37 3.5.2 Performance when Background Noise is not Negligible . . . 38 CHAPTER 4 WAVEFORM MODULATION . . . . . . . . . . . . . 44 4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 4.2 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 4.2.1 Transmitter and Receiver Modeling . . . . . . . . . . . . . 44 4.2.2 Diffusion Channel Modeling . . . . . . . . . . . . . . . . . 45 4.3 Signal Modulation and Detection . . . . . . . . . . . . . . . . . . . 49 4.4 Numerical Results . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 4.4.1 Amplitude Modulation . . . . . . . . . . . . . . . . . . . . 55 4.4.2 Pulse-position Modulation . . . . . . . . . . . . . . . . . . 58 CHAPTER 5 CONCLUSIONS AND FUTURE WORKS . . . . . 61 5.1 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 5.2 Future Works . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 | |
| dc.language.iso | en | |
| dc.subject | 濃度 | zh_TW |
| dc.subject | 擴散 | zh_TW |
| dc.subject | 調變 | zh_TW |
| dc.subject | 分子通訊 | zh_TW |
| dc.subject | Diffusion | en |
| dc.subject | Modulation | en |
| dc.subject | Concentration | en |
| dc.subject | Molecular Communication | en |
| dc.title | 擴散式分子通訊下之調變設計 | zh_TW |
| dc.title | Modulation Design in Diffusion-based Molecular Communication
System | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 102-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 李佳翰(Chia-Han Lee),王奕翔(I-Hsiang Wang),孟令三(Ling-San Meng) | |
| dc.subject.keyword | 分子通訊,調變,濃度,擴散, | zh_TW |
| dc.subject.keyword | Molecular Communication,Modulation,Concentration,Diffusion, | en |
| dc.relation.page | 65 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2014-07-21 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
| 顯示於系所單位： | 電信工程學研究所 | |
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|---|---|---|---|
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