Abstract
This paper presents hybrid precoding for a non-orthogonal multiple access (NOMA) transmission scheme in a millimeter wave (mmWave) massive MIMO (mMIMO) downlink. In hybrid precoding, the analog precoder is obtained by the orthogonalization of the users’ channel vectors to minimize inter-beam interference. The digital precoder consists of a zero-forcing precoder to minimize inter-user interference. In order to break the barrier of one user per beam, we utilize the NOMA within the beam for power domain multiplexing among users. Simulation results show the proposed scheme’s efficacy compared to the state-of-the-art schemes and provide 1.48 times better sum-rate performance at 10 dB received SNR.
Highlights
The huge demand for various services and the rapid growth of mobile Internet and Internet of Things (IoT) applications have led to research on fifth-generation (5G) communication systems [1]
This study aims to investigate a low complexity hybrid precoding for a non-orthogonal multiple access (NOMA) transmission scheme in a realWorld ill-conditioned millimeter wave (mmWave) massive MIMO downlink
The proposed scheme is compared with the Gram– Schmidt-based hybrid beamforming (GSHBF), eigenvalue decomposition-based hybrid beamforming (EVDHBF), and singular value decomposition-based hybrid beamforming (SVDHBF) in terms of transmit power performance against the target SE
Summary
The huge demand for various services and the rapid growth of mobile Internet and Internet of Things (IoT) applications have led to research on fifth-generation (5G) communication systems [1]. By operating at 30–300 GHz, mmWave communication may provide orders-of-magnitude higher bandwidths than sub-6 GHz band communication. The fifth-generation (5G) wireless communication requirement for high throughput motivates the wireless industry to use mmWave communication for its vast bandwidth advantage [2]. Aside from the wide bandwidth, the smaller wavelengths in mmWave allow more antennas to be packed into the same physical space, allowing vast multiple-inputs multiple-outputs to be supported more effectively in mMIMO [3,4]. This introduces spatial multiplexing and diversity gains. It has been shown that mmWave-mMIMO can increase system capacity by orders of magnitude [5]
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