Author
Xinlei Wang
Bio: Xinlei Wang is an academic researcher from Changsha University of Science and Technology. The author has contributed to research in topics: Spectral efficiency & Communication channel. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.
Papers
More filters
01 Nov 2020
TL;DR: In this paper, a joint hybrid precoding strategy with high spectral efficiency and low complexity is proposed based on singular value decomposition (SVD) technique and the concept of equivalent channel.
Abstract: Due to the inherent performance in reducing hardware cost and power consumption, analog/digital hybrid precoding is deemed as one of the key technologies in the future millimeter-wave (mmWave) massive MIMO systems. In this paper, based on singular value decomposition (SVD) technique and the concept of equivalent channel, a joint hybrid precoding strategy with high spectral-efficiency and low complexity is proposed. Specifically, to avoid iterative operation, the analog precoder and the analog combiner are obtained by operating SVD on the optimal unconstrained digital precoder matrix successively after an equivalent channel has been constructed. Then, the digital precoder and digital combiner are realized by decomposing the equivalent channel directly. Simulation results show that our proposed schemes have lower computational complexity than the existing schemes without significant spectral efficiency degradation.
3 citations
Cited by
More filters
TL;DR: For the single-user scenarios with reduced number of RF chains, a joint hybrid precoding scheme is proposed based on the equivalent channel, with high spectral efficiency and low complexity, and some operations in the original precode scheme at the transmitter side are moved to the receiver side by exploiting the concept of equivalent channel.
13 citations
TL;DR: In this article , a joint hybrid precoding/combinar design for both single-user and multi-user massive MIMO systems is proposed based on the singular value decomposition (SVD) technique and the concept of equivalent channel.
Abstract: Due to its inherent ability in reducing hardware cost and power consumption while maintaining high system capacity, hybrid precoding is deemed as one of the key technologies in the upcoming 5G/6G millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems. However, it is challenging to design high performance hybrid precoders/combiners with low computational complexity. In this paper, based on the singular value decomposition (SVD) technique and the concept of equivalent channel, joint hybrid precoding strategies with high spectral-efficiency and low complexity are proposed for both single-user and multi-user massive MIMO systems. Specifically, for single-user massive MIMO scenarios, after transforming the design of hybrid beamforming into the problem of maximizing the square of sum eigenvalues for an equivalent channel, a two-stage successive method is conceived to design the analog precoder and combiner jointly, and the corresponding equivalent channel is constructed. Then, the digital precoding and combining operations are realized directly by applying the SVD technique to the matrix of equivalent channel. Meanwhile, the hybrid precoding strategy is extended to the multi-user scenario for achieving high performance resultant from multi-user diversity. Extensive simulations are conducted to verify the effectiveness of the precoding/combing schemes. The results show that our proposed schemes can achieve superior performance with lower complexity compared to the existing ones.
2 citations
TL;DR: In this article , the authors proposed a digital joint equivalent channel hybrid precoding algorithm based on the introduction of digital encoding matrix iteration, which solved the problem of greatly increasing the amount of computation caused by the lack of rank of the digital coding matrix, and reduced the overall complexity of the overall precoding.
Abstract: Aiming at the problem that the spectral efficiency of hybrid precoding (HP) is too low in the current millimeter-wave (mmWave) massive multiple input multiple output (MIMO) system, this paper proposes a digital joint equivalent channel hybrid precoding algorithm. Based on the introduction of digital encoding matrix iteration. First, the objective function is expanded to obtain the relation equation, and the pseudo-inverse iterative function of the analog encoder is derived by using the pseudo-inverse method, which solves the problem of greatly increasing the amount of computation caused by the lack of rank of the digital encoding matrix, and reduces the overall complexity of hybrid precoding. Secondly, the analog coding matrix and the millimeter-wave sparse channel matrix are combined into an equivalent channel, and then the equivalent channel is subjected to Singular Value Decomposition (SVD) to obtain a digital coding matrix, and then the derived pseudo-inverse iterative function is used to iteratively regenerates the simulated encoding matrix. The simulation results show that the proposed algorithm improves the system spectral efficiency by 10–20% compared with other algorithms, and the stability is also improved.