Reference : Joint Bit Allocation and Hybrid Beamforming Optimization for Energy Efficient Millime...
Scientific journals : Article
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/45471
Joint Bit Allocation and Hybrid Beamforming Optimization for Energy Efficient Millimeter Wave MIMO Systems
English
Kaushik, Aryan []
Vlachos, Evangelos []
Tsinos, Christos []
Thompson, John []
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
25-Sep-2020
IEEE Transactions on Green Communications and Networking
Institute of Electrical and Electronics Engineers (IEEE)
Yes (verified by ORBilu)
2473-2400
[en] In this paper, we aim to design highly energy efficient end-to-end communication for millimeter
wave multiple-input multiple-output systems. This is done by jointly optimizing the digital-to-analog
converter (DAC)/analog-to-digital converter (ADC) bit resolutions and hybrid beamforming matrices.
The novel decomposition of the hybrid precoder and the hybrid combiner to three parts is introduced
at the transmitter (TX) and the receiver (RX), respectively, representing the analog precoder/combiner
matrix, the DAC/ADC bit resolution matrix and the baseband precoder/combiner matrix. The unknown
matrices are computed as a solution to the matrix factorization problem where the optimal fully digital
precoder or combiner is approximated by the product of these matrices. A novel and efficient solution
based on the alternating direction method of multipliers is proposed to solve these problems at both
the TX and the RX. The simulation results show that the proposed solution, where the DAC/ADC bit
allocation is dynamic during operation, achieves higher energy efficiency when compared with existing
benchmark techniques that use fixed DAC/ADC bit resolutions.
Fonds National de la Recherche Luxembourg and Engineering and Physical Sciences Research Council
10.13039/501100001866-Fonds National de la Recherche Luxembourg; 10.13039/501100000266-Engineering and Physical Sciences Research Council;
Researchers
http://hdl.handle.net/10993/45471
10.1109/TGCN.2020.3026725

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
Joint Bit Allocation and Hybrid Beamforming.pdfJoint Bit Allocation and Hybrid Beamforming Optimization for Energy Efficient Millimeter Wave MIMO SystemsPublisher postprint822.27 kBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.