Study on modulation techniques for downlink chanel in Li-Fi
Abstract: Light-Fidelity (Li-Fi) is considered as a fully optical networked communication
with the capability of bidirectional transmission. Li-Fi is a subset of Visible Light
Communications (VLC) using visible light to modulate mobile data which offer many
advantages in indoor environment. This paper is aimed to provide a comprehensive
knowledge to the available modulation techniques which is utilized for downlink channel
in VLC networks and particularly in Li-Fi. These modulation schemes are clarified and
then grouped for the clearly and throughout vision in the paper. Advantages and
disadvantages of them are also given out adequately and compared to each other.
Trang 1
Trang 2
Trang 3
Trang 4
Trang 5
Trang 6
Trang 7
Trang 8
Trang 9
Trang 10
Tải về để xem bản đầy đủ
Tóm tắt nội dung tài liệu: Study on modulation techniques for downlink chanel in Li-Fi
) bit/s/Hz. Fig 7. Illustration of mapping binary data to transmitters’ indexes. At the receiver side, an optimal SM detector is utilized to estimate the signal vector ̂(k) from the electronic signal converted from the received optical signal by Photodiodes (PDs) [28]. The estimation is relied on the Maximum-Likelihood (ML) principle which decides the estimated signal vector ̂ by minimizing the Euclidean distance between the actual received signal y and all potential received signals: 2 F ˆ argmax ( , ) argmin x p x H H y x x y y x (8) where py is the probability density distribution of the received signal y conditioned on the transmitted signal x and the channel matrix H. It is clearly seen that OSM do not only achieve higher data rate over conventional modulations and mitigate ISI, but also it addresses the power efficiency by the requirement of activating only one transmitter at instant time compared to other MIMO models. Comparison to OOK modulation, OSM achieves Bit Error Rate (BER) slightly better. Another factor is also considered is computational complexity at the receiver. OSM requires fewer mathematical operations than Repetition Coding (RC) in order to detect transmitted data [18]. It takes only 3MNr TẠP CHÍ KHOA HỌC SỐ 4/2016 101 operations, while is the operations required by RC. By using the transmitters‟ indexes for data modulation, however, Bit Error Rate (BER) of OSM is affected by coherence among transmitters (LEDs). It means that the distances between LEDs must be sufficiently far in order to guarantee estimating exactly what LED is used to transmit data at instant time. Beside, OSM offers only a logarithmic increase of the data rate with the number of transmitters. This might limit OSM to be implemented for practical number of LEDs using for illumination in any room. The last disadvantage of OSM is channel knowledge which must be well known for data detection, it might lead complexity constraints on the channel estimation unit [29]. From the perspective of increasing spectral efficiency, Generalized Spatial Modulation (GSM) in VLC is also proposed in [30]. Instead of fixing the number of transmitter as an exponential of two, GSM is a generalized form of SM which actives Na (0 < Na < Nt) transmitters simultaneously at any time. Hence, the data rate of GSM is increased as following: 2 2log log t GSM a a N N M N (9) Another application of SM is proposed in [31] to obtain positive and real-valued signals for OFDM in VLC. The proposed method solves the DC-bias problem in DCO- OFDM and get a higher spectral efficiency than ACO-OFDM [31] called NDC-OFDM. The authors added a SM mapper behind the IFFT block to separate positive and negative value OFDM signals into two LED transmitters. In other words, the sign of the OFDM symbols is represented by the index of the corresponding LED. Hadamard Coded Modulation OFDM is represented as a high-dimensional modulation technique for high data-rate transmission that has been widely adapted to many modern broadband communications and standards, however, suffer source, channel and amplifier nonlinearities due to its high peak-to-average ratio (PAPR) [24]. OFDM signals with large peaks are then clipped by the peak optical power constraint of the optical sources. In VLC systems, due to high average optical powers are required for illumination, some symbols of OFDM might suffer for signal clipping [25]. Mohammad Noshad, et al. are introduced an alternative modulation technique to OFDM called Hadamard Code Modulation (HCM) which uses the fast Walsh- Hadamard transform (FWHT) to modulate data. The proposed modulation scheme uses binary Hadamard matrixes to encode the input data stream, which has the same complexity as the FFT in OFDM, Nlog2 N, where N is the size of the Hadamard matrix. HCM achieves a same BER compared to OFDM, while can provide brighter illumination levels for VLC systems because of its low PAPR. 102 TRƯỜNG ĐẠI HỌC THỦ ĐÔ HÀ NỘI Fig. 8. Block diagram of the HCM transmitter using FWHT A Hadamard matrix of order N which is modified by replacing 0 for -1 elements in the original {-1, 1} Hadamard matrix [32], is denoted by HN. The transmitted vector x is obtained from the input data vector as shown below: 1 x (1 )N N N uH u H (10) where NH is the complement of NH . The components of the signal vector u are assumed being modulated signal by a M-ary Pulse Amplitude Modulation (PAM), where { } . The equation (10) is then rewritten as following: 1 x 0,1,1,...,1 2 N N N N u H H (8) Only N-1 rows of the matrix HN which have a weight of N/2, are used to modulate data, while the first row of the Hadamard matrix which all values are one, is ignored. Hence the first row is set to zero and the rate of M-PAM HCM is . The interference of the Hadamard codewords on each other due to the fixed cross correlation between these remaining N − 1 rows can be removed at the receiver side [33]. The received signal is given by: y h x n (11) where n is assumed an additive white Gaussian noise (AWGN) and h is the discrete time equivalent impulse response of the channel which h = {h(k)}. The vector y is then demodulated to the vector v by an inverse FWHT (IFWHT) as shown in Fig. 9: 1 T T N N N v yH yH (12) TẠP CHÍ KHOA HỌC SỐ 4/2016 103 Fig. 9. Block diagram of the HCM receiver using IFWHT For an ideal non-dispersive channel with impulse response as defined in [24]: 1 0 0 0 k h k k (13) The decoded data can be rewritten as following: 1 1,1,1,....,1 2 N v u n (14) where 1 T T N N N n = n H H is a 1 × N noise vector with independent components. The BER of M-PAM HCM for non-dispersive AWGN channels can be calculated from (34): 2 2 22 2 1 3 BER log 1 HCM N clip PM NQ M M M (15) where γ represents the penalty in SNR due to the pulse shaping, 2 N is the variance of the additive Gaussian noise at the receiver and 2 clip is the variance of the clipping noise. The author is also introduced an improved version of HCM which reduces the DC bias without losing information. A DC bias value bDC is added to the transmitted signal, then the decoded vector becomes: ,0,...,0 1DCNb v u n - (16) It is clearly shown that the DC bias is only added to the first component of the transmitted signal and has no effect on the rest of the data. The BER comparison between ACO-OFDM using 16-QAM to modulate 128 subcarriers and HCM signals are generated by an FWHT size N = 128 are realised in [17]-[18]. As a result, HCM achieves lower BER for average optical powers higher than 18 dBm and 20.3 dBm for 2 n = −30 dBm and 2 n = −20 dBm, respectively. Both HCM and DCR-HCM shows the capability to gain a lower 104 TRƯỜNG ĐẠI HỌC THỦ ĐÔ HÀ NỘI achievable BER for all spectral efficiencies tested when are compared to ACO-OFDM and DCO-OFDM [25]. 4. CONCLUSION Li-Fi with great applications makes itself to become a potential candidate for the architecture of the 5G network. The hottest topic attracted the most researches on it is data modulation. The three primary keys for modulation techniques considered in Li-Fi are the complexity, spectral and power efficiency. Through the paper, all available modulation schemes for Li-Fi are represented and compared the benefits and also shortages of each technique relied on these factors. 5. ACKNOWLEGMENT I am very much grateful for the help of Department of Information Technology – Hanoi Metropolitan University and members which fully support me to implement this research. REFERENCES 1. R. Pepper (2013), “Cisco Visual Networking Index (VNI) Global Mobile Data Traffic Forecast Update 2012-2017”, Mobile World Congress. 2. 3. H. Haas, Y. Wang and C. Chen (2016), “What is LiFi?”, Journal of Lightwave Technology, vol. 34, pp.1533-1544. 4. J. M. Kahn, and J. R. Barry (1997), “Wireless infrared communications”, Proceedings of the IEEE, vol. 85, pp.265-298. 5. N. Fujimoto and H. Mochizuki (2013), “477 mbit/s visible light transmission based on ook-nrz modulation using a single commercially available visible led and a practical led driver with a pre-emphasis circuit”, Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference (OFC/NFOEC), pp.1-3, Anaheim, California, USA. 6. N. Fujimoto and H. Mochizuki (2012), “614 mbit/s ook-based transmission by the duo-binary technique using a single commercially available visible led for high-speed visible light communications”, in European Conference and Exhibition on Optical Communication (ECEOC). Amsterdam Netherlands: Optical Society of America. 7. Z. Ghassemlooy, W. Popoola, and S. Rajbhandari (2013), “Optical Wireless Communications: System and Channel Modelling with MATLAB”, CRC Press. 8. D. Shiu and J. M. Kahn (1999), “Differential pulse position modulation for power-efficient optical communication”, IEEE Transactions on Communication, vol. 47, pp.1201-1210. 9. J. Armstrong (2009), “OFDM for Optical Communications”, Journal of Lightwave Technology, vol. 27, pp.189-204. TẠP CHÍ KHOA HỌC SỐ 4/2016 105 10. O. Gonzalez, R. Perez-Jimenez, S. Rodriguez, J. Rabadan, and A. Ayala (2005), “OFDM over indoor wireless optical channel”, IEE Proceedings – Optoelectronics, vol. 152, pp.199-204. 11. S. D. Dissanayake, and J. Armstrong (2013), “Comparison of ACO-OFDM, DCO-OFDM and ADO-OFDM in IM/DD Systems”, Journal of lightwave technology, vol. 31, pp. 1063-1072. 12. R. Hassan, and F. T. Z. Tuli (2015), “Analysis of ACO-OFDM, DCO-OFDM and Flip-OFDM for IM/DD optical-wireless and optical-fiber system”, IEEE International Conference on Telecommunications and Photonics (ICTP), Dhaka, Bangladesh. 13. S. D. Dissanayake, K. Panta, and J. Armstrong (2011), “A novel technique to simultaneously transmit ACO-OFDM and DCO-OFDM in IM/DD systems”, in Proc. IEEE GLOBECOM Workshops, pp.782-786, Houston, TX, USA. 14. J. Armstrong and A. J. Lowery (2006), “Power efficient optical OFDM”, Electron. Lett, vol. 42, pp.370-372. 15. K. Asadzadeh, A. Dabbo, and S. Hranilovic (2011), “Receiver design for asymmetrically clipped optical OFDM”, in Proc. IEEE GLOBECOM OWC Workshop, Houston, TX, USA. 16. S. C. J. Lee, F. Breyer, D. Cardenas, S. Randel, and A. M. J. Koonen (2009), “Real-time gigabit DMT transmission over plastic optical fibre”, Electron. Lett, vol. 45, pp.1342-1343. 17. J. Armstrong, and B. J. C. Schmidt (2008), “Comparison of Asymmetrically Clipped Optical OFDM and DC-Biased Optical OFDM in AWGN”, IEEE Communications Letters, vol. 12, pp.343-345. 18. K. Asadzadeh, A. Dabbo, and S. Hranilovic (2011), “Receiver design for asymmetrically clipped optical OFDM”, IEEE GLOBECOM Workshops (GC Wkshps), pp.777-781, Houston, TX. 19. F. A. Delgado Rajó, V. Guerra, J. A. Rabadán Borges, J. R. Torres and R. Pérez-Jiménez (2014), “Color Shift Keying Communication System With a Modified PPM Synchronization Scheme”, IEEE Photonics Technology Letters, vol. 26, pp.1851-1854. 20. K. I. Ahn, and J. K. Kwon (2012), “Color Intensity Modulation for Multicolored Visible Light Communications”, IEEE Photonics Technology Letters, vol.24, pp.2254-2257. 21. P. M. Butala, J. C. Chau, and T. D. C. Little (2012), “Metameric modulation for diffuse visible light communications with constant ambient lighting”, 2012 International Workshop on Optical Wireless Communications (IWOW), Paris. 22. Raed Mesleh, Hany Elgala, and Harald Haas (2011), “Optical Spatial Modulation”, IEEE/OSA Journal of Optical Communications and Networking, vol. 3, pp.234-244. 23. Thilo Fath, Harald Haas, Marco Di Renzo and Raed Mesleh (2011), “Spatial Modulation applied to Optical Wireless Communications in Indoor LOS Environments”, 2011 IEEE Global Telecommunications Conference (GLOBECOM 2011), Houston, TX, USA. 24. M. Noshad, and M. Brandt-Pearce (2014), “Hadamard coded modulation: An alternative to OFDM for wireless optical communications”, 2014 IEEE Global Communications Conference (GLOBECOM), pp.2102-2107, Austin. 106 TRƯỜNG ĐẠI HỌC THỦ ĐÔ HÀ NỘI 25. M. Noshad, and M. Brandt-Pearce (2016), “Hadamard Coded Modulation for Visible Light Communications”, IEEE Transactions on Communications, vol. 64, pp.1167-1175. 26. K. Sato and K. Asatani (1981), “Speckle noise reduction in fiber optic analog video transmission using semiconductor laser diodes”, IEEE Transactions on Communications, 29, pp.1017-1024. 27. IEEE Std. 802.15.7-2011, IEEE Standard for Local and Metropolitan Area Networks, Part 15.7: Short-Range Wireless Optical Communication Using Visible Light, IEEE Std. 28. J. Jeganathan, A. Ghrayeb, and L. Szczecinski (2008), “Spatial Modulation: Optimal Detection and Performance Analysis”, IEEE Communications Letters, vol. 12, pp.545-547. 29. Ekta balotra and Koushik Barman (2013), “Spatial Modulation”, International Journal of Engineering Research & Technology, vol. 2. 30. S. P. Alaka, T. Lakshmi Narasimhan, and A. Chockalingam (2015), “Generalized Spatial Modulation in Indoor Wireless Visible Light Communication”, 2015 IEEE Global Communications Conference (GLOBECOM), San Diego. 31. Y. Li, D. Tsonev, and H. Haas (2013), “Non-DC-biased OFDM with Optical Spatial Modulation”, 2013 IEEE 24th International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), pp.486-490, London. 32. K. J. Horadam (2006), “Hadamard Matrices and Their Applications”, Princeton University Press. 33. M. Noshad, M. Brandt-Pearce (2012), “Expurgated PPM Using Symmetric Balanced Incomplete Block Designs”, IEEE Communications Letters, vol. 16, pp.968-971. 34. K. Cho and D. Yoon (2002), “On the general BER expression of one and two dimensional amplitude modulations”, IEEE Transaction Communications, vol. 50, pp.1074-1080. NGHIÊN CỨU CÁC KỸ THUẬT ĐIỀU CHẾ CHO KÊNH ĐƯỜNG XUỐNG TRONG MẠNG LI-FI Tóm tắt: Light-Fidelity (Li-Fi) được xem như một mô hình mạng không dây quang hoàn chỉnh với khả năng truyền song công. Li-Fi là một trường hợp riêng của mạng truyền thông sử dụng ánh sáng nhìn thấy (VLC) sử dụng ánh sáng nhìn thấy để điều chế tín hiệu di động. Nó đạt được rất nhiều lợi ích trong môi trường truyền thông trong nhà. Mục tiêu của bài báo là cung cấp kiến thức về các kỹ thuật điều chế có thể sử dụng cho kênh đường xuống trong mạng VLC, và mạng Li-Fi nói riêng. Các cơ chế điều chế này được phân loại và nhóm lại nhằm cung cấp một cái nhìn rõ ràng và xuyên suốt trong toàn bộ bài báo. Ngoài ra, các ưu điểm và hạn chế của các kỹ thuật điều chế trên cũng được đưa ra và so sánh với nhau. Từ khóa: Light-Fidelity (Li-Fi), Mạng truyền thông sử dụng ánh sáng nhìn thấy, Các kỹ thuật điều chế trong mạng quang không dây.
File đính kèm:
- study_on_modulation_techniques_for_downlink_chanel_in_li_fi.pdf