Power Efficiency of Millimeter Wave Transmission Systems with Large Number of Antennas

Large scale antenna systems (LSAS) in the mmWave bands provide a solution to the problems of spectrum shortage experienced in the conventional microwave bands. In a practical large scale antenna deployment, implementation of hybrid beamforming structures is very important as it provides high array gains to overcome the high path loss and achieve sufficient link margins. However, while implementing this we encounter the challenges such as complexity, cost and energy consumption. In this paper a power consumption model for the large scale antenna mmWave system is presented and analysed. From the power consumption model we maximize the energy efficiency of the overall system. Optimization of energy efficiency is a crucial factor in system optimization and design of the powerhungry devices. But with increasing energy efficiency, the spectral efficiency decreases. Thus analysis of the relation between energy and spectral efficiency becomes a critical task and we optimize energy efficiency at a fixed spectral efficiency. The results can then be utilized to guide the practical energy/spectrum efficiency trade-off for the LSAS design.

[1]  Georges G. E. Gielen,et al.  ACTIF: a high-level power estimation tool for Analog Continuous-Time Filters , 2000, IEEE/ACM International Conference on Computer Aided Design. ICCAD - 2000. IEEE/ACM Digest of Technical Papers (Cat. No.00CH37140).

[2]  Robin J. Evans,et al.  Angle of Arrival Extended S-V Model for the 60 Ghz Wireless Desktop Channel , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.

[3]  Robert W. Heath,et al.  Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems , 2014, IEEE Journal of Selected Topics in Signal Processing.

[4]  Gerd Ascheid,et al.  Beamforming with time-delay compensation for 60 GHz MIMO frequency-selective channels , 2015, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[5]  Michael A. Jensen,et al.  Modeling the statistical time and angle of arrival characteristics of an indoor multipath channel , 2000, IEEE Journal on Selected Areas in Communications.

[6]  S. Yong,et al.  TG3c channel modeling sub-committee final report , 2007 .

[7]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[8]  Michael A. Jensen,et al.  Modeling the indoor MIMO wireless channel , 2002 .

[9]  Massoud Pedram,et al.  Performance Comparisons Between 7-nm FinFET and Conventional Bulk CMOS Standard Cell Libraries , 2015, IEEE Transactions on Circuits and Systems II: Express Briefs.

[10]  Robert W. Heath,et al.  MIMO Precoding and Combining Solutions for Millimeter-Wave Systems , 2014, IEEE Communications Magazine.

[11]  Junyan Ren,et al.  An 8mW ultra low power 60GHz direct-conversion receiver with 55dB gain and 4.9dB noise figure in 65nm CMOS , 2012, 2012 IEEE International Symposium on Radio-Frequency Integration Technology (RFIT).

[12]  Lingkai Kong,et al.  Energy-Efficient 60GHz Phased-Array Design for Multi-Gb/s Communication Systems , 2012 .

[13]  E. Skafidas,et al.  A 60-GHz Double-Balanced Mixer for Direct Up-Conversion Transmitter on 130-nm CMOS , 2008, 2008 IEEE Compound Semiconductor Integrated Circuits Symposium.

[14]  Gerd Ascheid,et al.  Hybrid Beamforming under Equal Gain Constraint for Maximizing Sum Rate at 60 GHz , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[15]  Bin Zhou,et al.  A 56-to-66 GHz quadrature phase-locked loop with a wide locking range divider chain in 65nm CMOS , 2015, 2015 IEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC).

[16]  Gerd Ascheid,et al.  Joint Pre/Post-processing Design for Large Millimeter Wave Hybrid Spatial Processing Systems , 2014 .

[17]  Andrea J. Goldsmith,et al.  Energy-constrained modulation optimization , 2005, IEEE Transactions on Wireless Communications.

[18]  Satyajayant Misra.  Millimeter Wave Wireless Communications (Rappaport, T., et al; 2014) [Book review] , 2015, IEEE Wireless Communications.

[19]  Gerd Ascheid,et al.  Hybrid Beamforming with Time Delay Compensation for Millimeter Wave MIMO Frequency Selective Channels , 2016, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).