Abstract
With the rapid development of information technology, facing the problems and new challenges brought by mobile Internet and Internet of things technology, as one of the key technologies of 5G, millimeter‐wave mobile communication (28/38/60/70 GHz) which can realize gigabit (GB/s, or even higher) data transmission rate has also attracted extensive attention of wireless researchers all over the world, it has quickly become a research hotspot in the field of wireless communication. In the millimeter‐wave massive MIMO downlink wireless sensor system, a block diagonal beamforming algorithm based on the approximate inverse of Neumann series is improved to obtain complete digital beamforming. Then, when designing hybrid beamforming, channel estimation and high‐dimensional singular value decomposition are required for traditional analog and digital hybrid beamforming. A low complexity hybrid beamforming scheme is designed. An improved gradient projection algorithm is proposed in the design of analog beamforming, which can solve the problem of high computational complexity and less damage to guarantee and rate. Simulation results show that the hybrid beam terminal of the sensor reduces the number of RF links required for full digital beamforming and is as close to the spectral efficiency performance of full digital beamforming as possible. The results show that the performance of the designed hybrid beamforming scheme can still be close to that of the pure digital beamforming scheme without involving channel estimation and SVD decomposition.
Highlights
With the development of mobile multimedia applications, the improvement of end-user requirements, and the popularity of devices, the demand of mobile communication services for system data transmission rate and transmission bandwidth is increasing day by day
The analysis shows that when the spectral efficiency is determined, there is an optimal number of radio frequency (RF) links, which can make the system obtain the best energy efficiency
Because the approximate inversion based on Neumann series is used instead of singular value decomposition, it has lower computational complexity than the algorithm based on singular value decomposition [22]
Summary
With the development of mobile multimedia applications, the improvement of end-user requirements, and the popularity of devices, the demand of mobile communication services for system data transmission rate and transmission bandwidth is increasing day by day. The current 100 megabit data rate provided by traditional cellular mobile networks and wireless LAN has been difficult to meet the demand for higher rate of fast-growing application services. In order to meet the needs of future mobile data growth, the fifth-generation mobile communication 5G system came into being. Researchers said that in order to realize the 5G vision of “information comes at will, everything touches and,” 5G system needs to have higher performance compared with 4G system, and millimeter-wave communication is one of the key technologies of the fifth-generation mobile communication technology (5G), which has attracted extensive research and attention. Because the millimeter-wave band has the characteristics of high path loss and low penetration, millimeterwave communication needs to combine large-scale multiple input multiple output (MIMO) technology [2], use largescale antenna array, and obtain strong gain through
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