Abstract
To compromise between the system performance and hardware cost, millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems have been regarded as an enabling technology for the fifth generation of mobile communication systems (5G). This paper considers a low-complexity angular-domain compressing based detection (ACD) for uplink multi-user mmWave massive MIMO systems, which involves hybrid analog and digital processing. In analog processing, we perform angular-domain compression on the received signal by exploiting the sparsity of the mmWave channel to reduce the dimension of the signal space. In digital processing, the proposed ACD scheme works well with zero forcing (ZF)/maximum ratio combining (MRC)/minimum mean square error (MMSE) detection schemes. The performance analysis of the proposed ACD scheme is provided in terms of achievable rates, energy efficiency and computational complexity. Simulations are carried out and it shows that compared with existing works, the proposed ACD scheme not only reduces the computational complexity by more than 50 % , but also improves the system’s achievable rates and energy efficiency.
Highlights
As the demand for larger bandwidth and higher spectral efficiency continues to grow, millimeter wave and massive multiple-input multiple-output (MIMO) technology have been considered in the fifth generation of mobile communication systems (5G) [1,2,3,4]
In mmWave Massive MIMO systems, a dedicated radio frequency (RF) chain is required for full-digital signal processing and increasing the number of antennas will lead to more RF chains [11,12]
The simulation results for the uplink achievable rates of three schemes with zero forcing (ZF) detection are given in Figure 4, where M = 64, K = 10, M0 = 10, 16
Summary
As the demand for larger bandwidth and higher spectral efficiency continues to grow, millimeter wave (mmWave) and massive multiple-input multiple-output (MIMO) technology have been considered in the fifth generation of mobile communication systems (5G) [1,2,3,4]. In order to obtain high-quality communication in mmWave systems, base stations (BSs) can deploy hundreds or thousands of antennas to form large antenna arrays [6,7]. In mmWave Massive MIMO systems, a dedicated radio frequency (RF) chain is required for full-digital signal processing and increasing the number of antennas will lead to more RF chains [11,12]. Due to the high signal processing complexity and hardware cost, the full-digital signal processing for mmWave Massive MIMO systems becomes intractable [13,14]
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