Single-lane >100 Gb/s CAP-based data transmission over VCSEL-MMF links using low-complexity equalization

Author(s):  
Nikos Bamiedakis ◽  
Xiaohe Dong ◽  
David G. Cunningham ◽  
Ian H. White ◽  
Richard V. Penty
2014 ◽  
Vol 989-994 ◽  
pp. 4759-4762
Author(s):  
Zhong Sheng Wang ◽  
Dong Li Huang

ZigBee technology is mainly used in short distance, low power consumption, low rate, low complexity of equipments for data transmission. When image has a large amount of data, it should be processed firstly, and then transmitted. This essay makes a research on healthy care system, using CMOS camera to get image and compress image. Then, the compressed image is transferred to ARM processor, and divided into data packets according to the requirement of the ZigBee network transmission. Finally, the image is transferred to control center and displayed. After the final test, this system can get images to meet the requirements, which has some practical values.


Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 835
Author(s):  
Hieu V. Nguyen ◽  
Van-Dinh Nguyen ◽  
Oh-Soon Shin

This paper studies sum rate maximization of a cognitive radio network, where a full-duplex relay (FDR) is considered to assist data transmission. An FDR equipped with multiple transmit/receive antennas is introduced to harvest energy from the radio frequency signal of the primary system to reuse the energy for its own data transmission. By exploiting the time-switching relaying protocol, we first formulate an optimization problem for the sum rate of primary and secondary receivers and then propose a low-complexity algorithm to find the optimal solution. Numerical results verify the effectiveness of the proposed technique for wireless information and power transfer in cognitive radio systems.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Stylianos D. Assimonis ◽  
Muhammad Ali Babar Abbasi ◽  
Vincent Fusco

AbstractThis paper investigates uni-/multi-cast and orbital angular momentum (OAM) mode data transmission in orthogonal directions by the utilization of a new circular antenna array, operating at 28 GHz. In the horizontal plane the proposed antenna array operates as multimode transmitter (i.e., it provides broad-, uni- and/or multi-cast communication), while in the vertical direction OAM transmission occurs (i.e., it is capable of generating up to 15 spatially orthogonal OAM modes). Antenna array is designed using twelve, low-complexity, electromagnetically coupled microstrip patch antennas with high radiation efficiency. Each of these can transmit power of equivalent order of magnitude in both horizontal (i.e., broadside radiation pattern) and vertical direction (i.e., endfire radiation pattern) over electromagnetic waves of orthogonal electric components. This property leads to the formation of uni-/multi-cast and OAM modes in the horizontal plane and vertical direction, respectively. Antenna was tested through full-wave electromagnetic analysis and measurements in terms of impedance matching, mutual coupling and radiation pattern: good agreement between simulated and measurement results was observed. Specifically, it presents up to 8.65 dBi and 6.48 dBi realized gain under the uni-cast (in the horizontal plane) and OAM mode (in the vertical plane), respectively. The proposed antenna array is perfect candidate for high spectral efficiency data transmission for 5G and beyond wireless applications, where orthogonality in communication links and OAM multiplexing is a requirement.


2021 ◽  
Vol 256 ◽  
pp. 02014
Author(s):  
Jingce Xu ◽  
Xinsheng Zhang ◽  
Jianfei Lu

With the integration of 5G and Internet of Things (IoT), the application of large-scale IoT devices networking is increasingly extensive, such as building management, property maintenance, autonomous vehicles, healthcare, and shopping to tourism. In these scenes, the volume of data transmission is quite large, especially visual data (image, video, et al). However, due to the limited resource of IoT devices, such as battery, power, bandwidth, visual data transmission is complex to optimize, single objective optimization is difficult to insure the optimal latency, throughput and power at the same time. In this paper, we propose a method to jointly optimize the resource allocation of visual data transmission in resource constraint 5G IoT. Instead of single objective optimization, we combine the bandwidth, power consumption and latency into a hybrid model, then propose a low-complexity algorithm to solve this multiple objective optimization problem. The simulation results demonstrate that the proposed method increases the comprehensive utility of visual data transmission in the resource constraint 5G-IoT by 35%-48% compared with existing approaches.


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