2017
DOI: 10.15625/2525-2518/55/5/9149
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System Theory Based Multiple Beamforming

Abstract: In this paper, the problem of analysis and design of large-scale multiple beamforming system is considered by system theory approach. We consider the response of system parameters by set of objective functions in a critical condition, which is unable to access measurement data or the data size is large. The reduced-order model is built and the robust solution is found for a multiple beamforming system. The Monte Carlo simulation results show that the proposed multiple beamforming system yields significant perf… Show more

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Cited by 3 publications
(3 citation statements)
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References 9 publications
(16 reference statements)
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“…The SDoF is defined as the number of singular values of the propagation channel matrix that exceeds the noise level. SDoF represents the number of bit streams that can be simultaneously transmitted, and it is equivalent to the number of orthogonal beams that must be generated simultaneously to transmit independent bit streams [41]. The gNB can simultaneously transmit the maximum of r data streams to the target UE, thereby increasing channel throughput.…”
Section: ) Ue Classification and Beam Assignmentmentioning
confidence: 99%
“…The SDoF is defined as the number of singular values of the propagation channel matrix that exceeds the noise level. SDoF represents the number of bit streams that can be simultaneously transmitted, and it is equivalent to the number of orthogonal beams that must be generated simultaneously to transmit independent bit streams [41]. The gNB can simultaneously transmit the maximum of r data streams to the target UE, thereby increasing channel throughput.…”
Section: ) Ue Classification and Beam Assignmentmentioning
confidence: 99%
“…In the opposite case, with low SNR, the best thing to do is to simply choose one subchannel with the highest singular value. This is called beamforming [25,26]. We can rewrite the Eq.…”
Section: Mathematical Backgroundmentioning
confidence: 99%
“…Figure 2 illustrates the dual-polarized MIMO precoder as a digital precoder for each data stream input. The precoder is designed based on spatial multiplexing (SM) to increase the channel spectral efficiency by providing reliable performance over erasure channel [28]. The digital precoder consists of three different steps of linear precoding, phase hopping, and power calibration.…”
Section: System Model Descriptionmentioning
confidence: 99%