Hybrid Beamforming with Reduced Number of Phase Shifters for Massive MIMO Systems
نویسندگان
چکیده
In this paper, two novel hybrid beamforming methods are proposed to reduce the cost and power consumption of hybrid beamformers with subconnected phase shifter network structure in massive multiple-input multiple-output (MIMO) systems. This is achieved by replacing some of the phase shifters with switches which, in general, are cheaper and have lower power consumption compared to phase shifters. The proposed methods and the closed-form expressions of their performance are derived according to the properties of the elements of the singular vectors of the channel matrix. In the first approach, it is shown that by combining the subconnected phase shifter network with a fully-connected switch architecture, the number of the phase shifters can be reduced up to 50% while the spectral efficiency is preserved. Then, in order to simplify the structure of the switch network, the fully-connected switches is replaced by subconnected switch network, e.g. binary switches. The analytical and simulation results indicate that just by using 25% of phase shifters 90% spectral efficiency can be achieved. Finally, simulation results indicate that similar behavior is observed when the wireless channel is considered to be sparse or correlated. Index Terms Antenna selection, hybrid beamforming, massive MIMO.
منابع مشابه
Hybrid Beamforming in Frequency Selective Massive MIMO Systems: A Single-Carrier or a Multicarrier Problem?
In this paper, we propose novel hybrid analog and digital beamforming techniques for the uplink of massive multiple-input multiple output (MIMO) systems under frequency-selective and rich scattering propagation conditions. Considering an L-tap wireless channel, we first derive the closed-forms for single-carrier L-tap and 1-tap RF beamformers. Then, we demonstrate that the proposed beamformers ...
متن کاملRate Loss of Hybrid Beamforming with Imperfect Phase Shifters in Millimeter Wave Systems
In millimeter massive MIMO systems, hybrid beamforming algorithms with fewer RF chain are widely applied as they can save power and cut down on hardware costs. Hybrid beamforming can be divided into two stages: analog beamforming in the RF domain usually implemented with phase shifters and digital beamforming in the baseband domain. Phase shifters have rms phase error and rms gain error which a...
متن کاملHybrid Analog-Digital Beamforming: How Many RF Chains and Phase Shifters Do We Need?
This paper considers hybrid beamforming (HB) for downlink multiuser massive MIMO systems with frequency selective channels. For this system, first we quantify the required number of radio frequency (RF) chains and phase shifters (PSs) such that the proposed HB achieves the same performance as that of the digital beamforming (DB) which utilizes N (number of transmitter antennas) RF chains. We sh...
متن کاملHybrid Precoder and Combiner Design with Low Resolution Phase Shifters in mmWave MIMO Systems
Millimeter wave (mmWave) communications have been considered as a key technology for next generation cellular systems and Wi-Fi networks because of its advances in providing orders-of-magnitude wider bandwidth than current wireless networks. Economical and energy-efficient analog/digial hybrid precoding and combining transceivers have been often proposed for mmWave massive multiple-input multip...
متن کاملHybrid Precoder and Combiner Design with One-Bit Quantized Phase Shifters in mmWave MIMO Systems
Analog/digital hybrid precoder and combiner have been widely used in millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems due to its energy-efficient and economic superiorities. Infinite resolution of phase shifters (PSs) for the analog beamformer can achieve very close performance compared to the full-digital scheme but will result in high complexity and intensive power consu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- CoRR
دوره abs/1706.01304 شماره
صفحات -
تاریخ انتشار 2017