On Optimizing Time-, Space- and Power-Domain Energy-Saving Techniques for Sub-6 GHz Base Stations
Emanuele Peschiera, Youssef Agram, Fran\c{c}ois Quitin, Liesbet Van der Perre, Fran\c{c}ois Rottenberg

TL;DR
This paper develops an optimal resource allocation strategy for base stations to maximize energy savings across time, space, and power domains, validated with real-world measurements and applicable to 4G and 5G systems.
Contribution
It proposes an efficient method to determine optimal active time slots, antennas, and transmit power in MIMO-OFDM systems considering practical constraints.
Findings
Up to 30% median energy savings at low network loads.
Optimal strategies vary with network load and hardware capabilities.
Joint domain operation yields better energy efficiency when time-domain power-saving modes are available.
Abstract
What is the optimal base station (BS) resource allocation strategy given a measurement-based power consumption model and a fixed target user rate? Rush-to-sleep in time, rush-to-mute in space, awake-but-whisper in power, or a combination of them? We propose in this paper an efficient solution to the problem of finding the optimal number of active time slots, active antennas, and transmit power at active antennas in a multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) system under per-user rate and per-antenna transmit power constraints. The use of a parametric power consumption model validated on operator measurements of 4G and 5G BSs enhances the interpretation of the results. We discuss the optimal energy-saving strategy at different network loads for three BS configurations. Using as few BS antennas as possible is close to optimal in BSs not…
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Taxonomy
TopicsAntenna Design and Analysis · Advanced MIMO Systems Optimization · Antenna Design and Optimization
MethodsBalanced Selection
