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作者机构:Next Generation and Standards Intel Deutschland GmbH Neubiberg85579 Germany Department of Electrical and Computer Engineering Technical University Munich Munich80290 Germany Department of Teleinformatics Engineering Federal University of Ceara Fortaleza60020-180 Brazil Center for Pervasive Communications and Computing University of California IrvineCA92697 United States Institute for Advanced Study Technical University of Munich Munchen80333 Germany
出 版 物:《arXiv》 (arXiv)
年 卷 期:2017年
核心收录:
主 题:Millimeter waves
摘 要:For 5G it will be important to leverage the available millimeter wave spectrum. To achieve an approximately omnidirectional coverage with a similar effective antenna aperture compared to state of the art cellular systems, an antenna array is required at both the mobile and basestation. Due to the large bandwidth and inefficient amplifiers available in CMOS for mmWave, the analog front-end of the receiver with a large number of antennas becomes especially power hungry. Two main solutions exist to reduce the power consumption: hybrid beam forming and digital beam forming with low resolution Analog to Digital Converters (ADCs). In this work we compare the spectral and energy efficiency of both systems under practical system constraints. We consider the effects of channel estimation, transmitter impairments and multiple simultaneous users. Our power consumption model considers components reported in literature at 60 GHz. In contrast to many other works we also consider the correlation of the quantization error, and generalize the modeling of it to non-uniform quantizers and different quantizers at each antenna. The result shows that as the SNR gets larger the ADC resolution achieving the optimal energy efficiency gets also larger. The energy efficiency peaks for 5 bit resolution at high SNR, since due to other limiting factors the achievable rate almost saturates at this resolution. We also show that in the multi-user scenario digital beamforming is in any case more energy efficient than hybrid beamforming. In addition we show that if different ADC resolutions are used we can achieve any desired trade-offs between power consumption and rate close to those achieved with only one ADC resolution. Copyright © 2017, The Authors. All rights reserved.