Research Article
Massive MIMO for Future Vehicular Networks: Compressed-Sensing and Low-Complexity Detection Schemes (Invited Paper)
@INPROCEEDINGS{10.1007/978-3-319-90802-1_5, author={Fan Jiang and Cheng Li and Zijun Gong and Yan Zhang}, title={Massive MIMO for Future Vehicular Networks: Compressed-Sensing and Low-Complexity Detection Schemes (Invited Paper)}, proceedings={Wireless Internet. 10th International Conference, WiCON 2017, Tianjin, China, December 16-17, 2017, Proceedings}, proceedings_a={WICON}, year={2018}, month={5}, keywords={Vehicular networks Massive MIMO Low-complexity}, doi={10.1007/978-3-319-90802-1_5} }- Fan Jiang
Cheng Li
Zijun Gong
Yan Zhang
Year: 2018
Massive MIMO for Future Vehicular Networks: Compressed-Sensing and Low-Complexity Detection Schemes (Invited Paper)
WICON
Springer
DOI: 10.1007/978-3-319-90802-1_5
Abstract
The fast development of the fifth generation (5G) mobile communications system has brought a bright prospect of the next generation vehicular networks. Especially, a typical application in future vehicular networks is to deploy intelligent transportation systems (ITS), aiming to providing high level user experience on the move. To support the deployment of ITS, high rate communications and energy efficiency, low-latency transmission and low-complexity detection schemes are highly demanded. Massive multiple-input multiple-output (MIMO) has been seen as a promising candidate for the demand. The architecture that many vehicles access the roadside infrastructure is quite suitable for the employment of massive MIMO as large-scale antennas can be deployed at the roadside unit. However, the challenges along with massive MIMO is low complexity and efficient data detection schemes. In this paper, we provide an overview of low-complexity detection schemes in massive MIMO, and summarize the challenges and possible solutions.
