Optimal Design of Energy-Efficient Millimeter Wave Hybrid Transceivers for Wireless Backhaul
Andrea Pizzo, Luca Sanguinetti
TL;DR
This paper derives closed-form expressions for the optimal number of antennas in mmWave hybrid transceivers to maximize energy efficiency in wireless backhaul networks, revealing that near fully-digital configurations are optimal.
Contribution
It provides the first analytical framework for optimizing antenna counts in mmWave hybrid transceivers to enhance energy efficiency in wireless backhaul systems.
Findings
Maximal EE achieved with near fully-digital configurations.
Optimal antenna numbers are derived in closed-form expressions.
Energy efficiency peaks when BS antennas are approximately equal to small-cell BSs.
Abstract
This work analyzes a mmWave single-cell network, which comprises a macro base station (BS) and an overlaid tier of small-cell BSs using a wireless backhaul for data traffic. We look for the optimal number of antennas at both BS and small-cell BSs that maximize the energy efficiency (EE) of the system when a hybrid transceiver architecture is employed. Closed-form expressions for the EE-optimal values of the number of antennas are derived that provide valuable insights into the interplay between the optimization variables and hardware characteristics. Numerical and analytical results show that the maximal EE is achieved by a 'close-to' fully-digital system wherein the number of BS antennas is approximately equal to the number of served small cells.
Click any figure to enlarge with its caption.
Figure 1Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Microwave Engineering and Waveguides · Advanced MIMO Systems Optimization
See pages 1-last of WiOpt17.pdf