Frontiers of Information Technology & Electronic Engineering
>> 2021,
Volume 22,
Issue 6
doi:
10.1631/FITEE.2000515
Prior information based channel estimation for millimeter-wave massive MIMO vehicular communications in 5G and beyond
Affiliation(s): MOE Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China; State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China; less
Received: 2020-09-30
Accepted: 2021-07-12
Available online: 2021-07-12
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Abstract
(mmWave) has been claimed as the viable solution for high-bandwidth s in 5G and beyond. To realize applications in future s, it is important to take a robust mmWave vehicular network into consideration. However, one challenge in such a network is that mmWave should provide an ultra-fast and high-rate data exchange among vehicles or vehicle-to-infrastructure (V2I). Moreover, traditional real-time strategies are unavailable because vehicle mobility leads to a fast variation mmWave channel. To overcome these issues, a approach for mmWave V2I communications is proposed in this paper. Specifically, by considering a fast-moving vehicle secnario, a corresponding mathematical model for a fast channel is first established. Then, the temporal variation rule between the base station and each mobile user and the determined direction-of-arrival are used to predict the channel prior information (PI). Finally, by exploiting the PI and the characteristics of the channel, the channel is estimated. The simulation results show that the scheme in this paper outperforms traditional ones in both normalized mean square error and sum-rate performance in the mmWave vehicular system.
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