Millimeter Wave Receiver Efficiency: A Comprehensive Comparison of Beamforming Schemes With Low Resolution ADCs

被引:104
作者
Bin Abbas, Waqas [1 ]
Gomez-Cuba, Felipe [2 ,3 ]
Zorzi, Michele [3 ]
机构
[1] Natl Univ Comp & Emerging Sci, Dept Elect Engn, Islamabad 44000, Pakistan
[2] Univ Vigo, Vigo 36310, Spain
[3] Univ Padua, Dept Informat Engn, I-35131 Padua, Italy
基金
欧盟地平线“2020”;
关键词
Millimeter wave; analog beamforming; hybrid beamforming; digital beamforming; energy efficiency; spectral efficiency; low resolution ADCs; CHANNEL ESTIMATION; MIMO SYSTEMS; ARCHITECTURES; TECHNOLOGY; UPLINK;
D O I
10.1109/TWC.2017.2757919
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we study the achievable rate and the energy efficiency of analog, hybrid, and digital combining (AC, HC, and DC) for millimeter wave (mmW) receivers. We take into account the power consumption of all receiver components, not just analog-to-digital converters (ADCs), determine some practical limitations of beamforming in each architecture, and develop performance analysis charts that enable comparison of different receivers simultaneously in terms of two metrics, namely, spectral efficiency (SE) and energy efficiency (EE). We present a multi-objective utility optimization interpretation to find the best SE-EE weighted tradeoff among AC, DC, and HC schemes. We consider an additive quantization noise model to evaluate the achievable rates with low resolution ADCs. Our analysis shows that AC is only advantageous if the channel rank is strictly one, the link has very low SNR, or there is a very stringent low power constraint at the receiver. Otherwise, we show that the usual claim that DC requires the highest power is not universally valid. Rather, either DC or HC alternatively results in the better SE versus EE tradeoff depending strongly on the considered power consumption characteristic values for each component of the mmW receiver.
引用
收藏
页码:8131 / 8146
页数:16
相关论文
共 43 条
  • [1] Abbas W. B., MMWAVE RECEIVER BEAM
  • [2] Millimeter Wave Channel Modeling and Cellular Capacity Evaluation
    Akdeniz, Mustafa Riza
    Liu, Yuanpeng
    Samimi, Mathew K.
    Sun, Shu
    Rangan, Sundeep
    Rappaport, Theodore S.
    Erkip, Elza
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2014, 32 (06) : 1164 - 1179
  • [3] MIMO Precoding and Combining Solutions for Millimeter-Wave Systems
    Alkhateeb, Ahmed
    Mo, Jianhua
    Gonzalez-Prelcic, Nuria
    Heath, Robert W., Jr.
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2014, 52 (12) : 122 - 131
  • [4] Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems
    Alkhateeb, Ahmed
    El Ayach, Omar
    Leus, Geert
    Heath, Robert W., Jr.
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2014, 8 (05) : 831 - 846
  • [5] What Will 5G Be?
    Andrews, Jeffrey G.
    Buzzi, Stefano
    Choi, Wan
    Hanly, Stephen V.
    Lozano, Angel
    Soong, Anthony C. K.
    Zhang, Jianzhong Charlie
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2014, 32 (06) : 1065 - 1082
  • [6] [Anonymous], 2017, PROC INF THEORY APPL
  • [7] [Anonymous], 2016, PROC 22TH EUR WIRELE
  • [8] [Anonymous], 2013, P IEEE INT S WIR COM
  • [9] [Anonymous], ADC performance survey 1997-2023
  • [10] Directional Cell Discovery in Millimeter Wave Cellular Networks
    Barati, C. Nicolas
    Hosseini, S. Amir
    Rangan, Sundeep
    Liu, Pei
    Korakis, Thanasis
    Panwar, Shivendra S.
    Rappaport, Theodore S.
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (12) : 6664 - 6678