scholarly journals Low-Complexity Location-Aware Multi-User Massive MIMO Beamforming for High Speed Train Communications

Author(s):  
Xuhong Chen ◽  
Pingyi Fan
IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 5936-5946 ◽  
Author(s):  
Xuhong Chen ◽  
Jiaxun Lu ◽  
Tao Li ◽  
Pingyi Fan ◽  
Khaled Ben Letaief

2019 ◽  
Vol 68 (3) ◽  
pp. 2077-2086 ◽  
Author(s):  
Yu Liu ◽  
Cheng-Xiang Wang ◽  
Jie Huang ◽  
Jian Sun ◽  
Wensheng Zhang

Author(s):  
Maharshi K. Bhatt ◽  
Bhavin S. Sedani ◽  
Komal Borisagar

This paper analytically reviews the performance of massive multiple input multiple output (MIMO) system for communication in highly mobility scenarios like high speed Railways. As popularity of high speed train increasing day by day, high data rate wireless communication system for high speed train is extremely required. 5G wireless communication systems must be designed to meet the requirement of high speed broadband services at speed of around 500 km/h, which is the expected speed achievable by HSR systems, at a data rate of 180 Mbps or higher. Significant challenges of high mobility communications are fast time-varying fading, channel estimation errors, doppler diversity, carrier frequency offset, inter carrier interference, high penetration loss and fast and frequent handovers. Therefore, crucial requirement to design high mobility communication channel models or systems prevails. Recently, massive MIMO techniques have been proposed to significantly improve the performance of wireless networks for upcoming 5G technology. Massive MIMO provide high throughput and high energy efficiency in wireless communication channel. In this paper, key findings, challenges and requirements to provide high speed wireless communication onboard the high speed train is pointed out after thorough literature review. In last, future research scope to bridge the research gap by designing efficient channel model by using massive MIMO and other optimization method is mentioned.


Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6054
Author(s):  
João Pedro Pavia ◽  
Vasco Velez ◽  
Renato Ferreira ◽  
Nuno Souto ◽  
Marco Ribeiro ◽  
...  

Millimeter-wave and terahertz technologies have been attracting attention from the wireless research community since they can offer large underutilized bandwidths which can enable the support of ultra-high-speed connections in future wireless communication systems. While the high signal attenuation occurring at these frequencies requires the adoption of very large (or the so-called ultra-massive) antenna arrays, in order to accomplish low complexity and low power consumption, hybrid analog/digital designs must be adopted. In this paper we present a hybrid design algorithm suitable for both mmWave and THz multiuser multiple-input multiple-output (MIMO) systems, which comprises separate computation steps for the digital precoder, analog precoder and multiuser interference mitigation. The design can also incorporate different analog architectures such as phase shifters, switches and inverters, antenna selection and so on. Furthermore, it is also applicable for different structures, namely fully-connected structures, arrays of subarrays (AoSA) and dynamic arrays of subarrays (DAoSA), making it suitable for the support of ultra-massive MIMO (UM-MIMO) in severely hardware constrained THz systems. We will show that, by using the proposed approach, it is possible to achieve good trade-offs between spectral efficiency and simplified implementation, even as the number of users and data streams increases.


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