Dimension Reduction of Channel Correlation Matrix Using CUR-Decomposition Technique for 3-D Massive Antenna System

Zhao, Xiongwen; Abdo, Adam Mohamed Ahmed; Chen, Xu; Geng, Suiyan; Zhang, Jianhua; Memon, Imran

doi:10.1109/access.2017.2786681

Cited by 25 publications

(15 citation statements)

References 21 publications

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“…This is because each user faces CCI interference which is considered as sum of leakage signals from all other cochannel users. Referring to (17), it is validated that as the number of users increases, the overall contributed interference to the th user also increases. Therefore, the increase in the denominator in (17) causes a reduction in the sum-rate capacity per user resulting in an average lower system capacity.…”

Section: Simulation Results and Discussionmentioning

confidence: 96%

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MU‐MIMO Downlink Capacity Analysis and Optimum Code Weight Vector Design for 5G Big Data Massive Antenna Millimeter Wave Communication

Abdo

Zhao

Zhang

et al. 2018

Wireless Communications and Mobile Computing

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Multiuser multiple input multiple output (MU-MIMO) wireless communication system provides substantial downlink throughput in millimeter wave (mmWave) communication by allowing multiple users to communicate at the same frequency and time slots. However, the design of the optimum beam-vector for each user to minimise interference from other users is challenging. In this paper, based on the concept of signal-to-leakage plus noise ratio (SLNR), we analyze the ergodic sum-rate capacity using statistical Eigen-mode (SE) and zero-forcing (ZF) models with Ricean fading channel. In the analysis, the orthogonality of channel vectors between users is assumed to guarantee interference cancelation from other cochannel users. The impact of the number of antenna elements on the achievable sum-rate capacity obtained by dirty paper coding (DPC) method considered as a nonlinear scheme for approximating average system capacity is studied. A power iterative precoding scheme that iteratively finds the most dominant eigenvector (optimum weight vector) for minimising cochannel interference (CCI), that is, maximising the SLNR for all users simultaneously, is designed resulting in enhancement of average system capacity. The average system capacities achieved by the proposed power iterative technique in this study compared with the singular value decomposition (SVD) method are in the ranges of 5–11 bps/Hz and 1–6 bps/Hz, respectively. Therefore, the proposed power iterative method achieves higher performance than the SVD regarding achievable sum-rate capacity.

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Section: Simulation Results and Discussionmentioning

confidence: 96%

“…, ) is the deterministic component of the channel mean vector of the th user. Based on the assumption that the BS is equipped with uniform linear array antennas, the deterministic channel vector for each user can be written as [17,18]…”

Section: Sinrmentioning

confidence: 99%

MU‐MIMO Downlink Capacity Analysis and Optimum Code Weight Vector Design for 5G Big Data Massive Antenna Millimeter Wave Communication

Abdo

Zhao

Zhang

et al. 2018

Wireless Communications and Mobile Computing

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“…Due to the low-complexity and transmission energy consumption during beam-searching process, the ISWR-P beam-searching algorithm has been widely applied in [10,[20][21][22]. However, this algorithm can only locate one beam pair during the beam-searching process, which represents low efficiency during the multi-beam-searching process at BS side.…”

Section: Analog Beam-searching Algorithmmentioning

confidence: 99%

A Fast Hybrid Beamforming Scheme for High-Speed Railway Communications

Qiu

Wang

2019

Electronics

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With the increasingly demand for reliable mobile communication service in the high-speed railway (HSR) system, the service stability of HSR communication is of great concern in recent research. Focusing on ensuring the quality of services (QoS) and system throughput, massive multi-input multi-output (massive MIMO) and beamforming technologies have been widely applied. In this paper, aiming to minimize the communication outage probability (OP) and not to decrease spectrum efficiency (SE) too much, we propose a fast HBF (F-HBF) scheme for HSR communications. The proposed scheme uses a low-complexity beam-searching algorithm to trace high-speed trains in real time. The simulation results verify that the proposed scheme can significantly reduce OP without too much SE degradation.

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“…In order to find the system performance difference between the real measured mm-wave channels and theoretical Rayleigh i.i.d and Ricean channels, the overall sum-rate achieved by dirty-paper coding (DPC) [18] is calculated and compared, which is the optimum precoding scheme, but is almost impossible to implement in practice because of too high complexity. The achievable sumrate in MU-MIMO system can be expressed as…”

Section: Channel Measurements and Channel Characterisationmentioning

confidence: 99%

“…On the other hand, from the perspective of channel models applied in massive multiple-input multiple-output (MIMO) research, theoretical narrowband models such as Rayleigh independent and identically distributed (i.i.d) and Ricean channels were widely used in most literature, i.e. [12,15,18]. Nevertheless, real propagation environment for a massive MIMO system is more complicated.…”

Section: Introductionmentioning

confidence: 99%

Hybrid precoding with phase shifter reduction for 5G massive antenna multi‐user systems in millimetre wave

et al. 2019

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Dimension Reduction of Channel Correlation Matrix Using CUR-Decomposition Technique for 3-D Massive Antenna System

Cited by 25 publications

References 21 publications

MU‐MIMO Downlink Capacity Analysis and Optimum Code Weight Vector Design for 5G Big Data Massive Antenna Millimeter Wave Communication

MU‐MIMO Downlink Capacity Analysis and Optimum Code Weight Vector Design for 5G Big Data Massive Antenna Millimeter Wave Communication

A Fast Hybrid Beamforming Scheme for High-Speed Railway Communications

Hybrid precoding with phase shifter reduction for 5G massive antenna multi‐user systems in millimetre wave

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