BER Performance of Underwater Optical Wireless MIMO Communications with Spatial Modulation Under Weak Turbulence

Author(s):  
Aiping Huang ◽  
Linwei Tao ◽  
QiaoLin Jiang
2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Bobby Barua ◽  
S. P. Majumder

AbstractAn analytical approach is developed in this paper to evaluate the bit error rate (BER) performance of an optical wireless (OW) communication system with multiplexing of the RF orthogonal frequency division (OFDM) over turbulent condition taking into account the effect of pointing error. The received signal is detected through direct detection receiver followed by RF synchronous demodulation including the effect of OW channel and different form of noises such as receiver thermal noise, background channel noise and photo detector shot noise. Analysis is developed for an OFDM system over the OW channel, taking into account the effect of pointing error between the transmitter and the receiver in turbulent condition and the analysis reveals that the OFDM OW system is less affected by pointing error with deference to the major power penalty at BER performance. For instance, power penalty at BER 10−9 is found to be 3 dB for 256 OFDM subcarriers with 9 millidegree displacement angle at a data rate of 10 Gbps under turbulent condition. It is found that the system is more influenced by the atmospheric turbulence at a higher data rate.


2021 ◽  
Author(s):  
Nithin Mohan ◽  
Zabih Ghassemlooy ◽  
Emma Li ◽  
Mojtaba Mansour Abadi ◽  
Stanislav Zvanovec ◽  
...  

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 44547-44558
Author(s):  
Yu Fu ◽  
Cheng-Xiang Wang ◽  
Xuming Fang ◽  
Li Yan ◽  
Stephen Mclaughlin

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Xinhe Zhang ◽  
Yuehua Zhang ◽  
Chang Liu ◽  
Hanzhong Jia

In this paper, the authors propose three low-complexity detection schemes for spatial modulation (SM) systems based on the modified beam search (MBS) detection. The MBS detector, which splits the search tree into some subtrees, can reduce the computational complexity by decreasing the nodes retained in each layer. However, the MBS detector does not take into account the effect of subtree search order on computational complexity, and it does not consider the effect of layers search order on the bit-error-rate (BER) performance. The ost-MBS detector starts the search from the subtree where the optimal solution is most likely to be located, which can reduce total searches of nodes in the subsequent subtrees. Thus, it can decrease the computational complexity. When the number of the retained nodes is fixed, which nodes are retained is very important. That is, the different search orders of layers have a direct influence on BER. Based on this, we propose the oy-MBS detector. The ost-oy-MBS detector combines the detection order of ost-MBS and oy-MBS together. The algorithm analysis and experimental results show that the proposed detectors outstrip MBS with respect to the BER performance and the computational complexity.


2019 ◽  
Vol 31 (6) ◽  
pp. 475-478 ◽  
Author(s):  
Liang Wu ◽  
Julian Cheng ◽  
Zaichen Zhang ◽  
Jian Dang ◽  
Huaping Liu

Sign in / Sign up

Export Citation Format

Share Document