Millimeter wave (mmWave) communication allows us to exploit a new spectrum band between 30 GHz to 300 GHz to meet the growing demands of capacity for fifth generation (5G) wireless communication systems. Multiple-inpu...
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ISBN:
(纸本)9781510834835
Millimeter wave (mmWave) communication allows us to exploit a new spectrum band between 30 GHz to 300 GHz to meet the growing demands of capacity for fifth generation (5G) wireless communication systems. Multiple-input multiple-output (MIMO) antennas can be used to tackle higher path loss and attenuation at mmWave frequencies compared to microwave bands. Beamforming, called precoding at the transmitter, is performed digitally in conventional microwave frequency MIMO systems, but at mmWave frequencies the higher cost and power consumption of system components means that the system cannot implement one radio frequency (RF) chain per antenna. To enable spatial multiplexing, hybrid precoders using fewer RF chains than antennas emerge as cost-effective and power saving alternative for the transceiver architecture of mmWave MIMO systems. This paper demonstrates the hybrid precoder design with its spectral efficiency and energy efficiency characteristics, and we compare the performance with that of optimal digital precoding (with one RF chain per antenna) and simplified beam steering systems. It also includes two different algorithmic solutions to meet the optimization objective. The orthogonal matching pursuit (OMP) algorithm appears to provide high performance solution to the problem, whereas the gradient pursuit (GP) algorithm is proposed as a cost-effective and fast approximation solution that can still provide equally high performance.
In this paper, we investigate energy-efficient hybrid precoding for the Millimeter Wave (mmWave) multi-input multi-output (MIMO) systems. The considered multivariate optimization problem is hard to tackle because of t...
详细信息
ISBN:
(纸本)9781479987955
In this paper, we investigate energy-efficient hybrid precoding for the Millimeter Wave (mmWave) multi-input multi-output (MIMO) systems. The considered multivariate optimization problem is hard to tackle because of the non-convex objective function and constraints. To solve the intractable problem, we propose a two-step optimization algorithm to obtain a near-optimal solution. The original multivariate optimization problem is first transformed into an equivalent univariate optimization problem whose solution is a optimal single precoder. Then, by minimizing the Euclidean distance between the optimal single precoder and the hybrid precoder, a near-optimal hybrid precoder are obtained via orthogonal matching pursuit (OMP) based algorithm. Numerical results validate that the energy efficiency (EE) performance of the proposed hybrid precoding algorithm is approximating to the optimality, and it obviously outperforms the spectral efficient hybrid precoding algorithm at the middle-high transmit power. In addition, we show the impacts of different system parameters on the energy-efficient performance.
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