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[IEEE 2017 IEEE MTT-S International Microwave and RF Conference (IMaRC) - AHMEDABAD, India (2017.12.11-2017.12.13)] 2017 IEEE MTT-S International Microwave and RF Conference (IMaRC) - Requirements of Millimeter-Wave-Band Transmitter for Massive MIMO Base Station
摘要： This paper presents requirements of Massive MIMO transmitter operating on millimeter wave bands. We mainly discuss the requirements for equipment and circuit components. It is revealed from the requirements of equipment that the Massive MIMO transmitter must attain low profile and low power consumption for installing small cell. According to the requirements, circuit component technologies are presented which are the integrated front-end module of antenna and filter, and the power amplifier employing linearizer. This paper also shows our research activities regarding the Massive MIMO transmitter.
关键词： 5G,SIW filter,Massive MIMO,transmitter
更新于2025-09-04 15:30:14
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[IEEE 2018 IEEE 5G World Forum (5GWF) - Silicon Valley, CA (2018.7.9-2018.7.11)] 2018 IEEE 5G World Forum (5GWF) - Energy-Efficient Downlink Power Control in mmWave Cell-Free and User-Centric Massive MIMO
摘要： This paper considers cell-free and user-centric approaches for coverage improvement in wireless cellular systems operating at millimeter wave frequencies, and proposes downlink power control algorithms aimed at maximizing the global energy efficiency. To tackle the non-convexity of the problems, an interaction between sequential and alternating optimization is considered. The use of hybrid analog/digital beamformers is also taken into account. The numerical results show the benefits obtained from the power control algorithm, as well as that the user-centric approach generally outperforms the cell-free one.
关键词： downlink power control,massive MIMO,user-centric,energy efficiency,mmWave,cell-free
更新于2025-09-04 15:30:14
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Residual-Based Detections and Unified Architecture for Massive MIMO Uplink
摘要： Massive multiple-input multiple-output (M-MIMO) technique brings better energy efficiency and coverage but higher computational complexity than small-scale MIMO. For linear detections such as minimum mean square error (MMSE), prohibitive complexity lies in solving large-scale linear equations. For a better trade-off between bit-error-rate (BER) performance and computational complexity, iterative linear algorithms like conjugate gradient (CG) have been applied and have shown their feasibility in recent years. In this paper, residual-based detection (RBD) algorithms are proposed for M-MIMO detection, including minimal residual (MINRES) algorithm, generalized minimal residual (GMRES) algorithm, and conjugate residual (CR) algorithm. RBD algorithms focus on the minimization of residual norm per iteration, whereas most existing algorithms focus on the approximation of exact signal. Numerical results have shown that, for 64-QAM 128 × 8 MIMO, RBD algorithms are only 0.13 dB away from the exact matrix inversion method when BER= 10?4. Stability of RBD algorithms has also been verified in various correlation conditions. Complexity comparison has shown that, CR algorithm require 87% less complexity than the traditional method for 128 × 60 MIMO. The unified hardware architecture is proposed with flexibility, which guarantees a low-complexity implementation for a family of RBD M-MIMO detectors.
关键词： Residual-based detection,Unified hardware,Conjugate residual,Minimal residual,Massive MIMO
更新于2025-09-04 15:30:14