Wireless Beam Selection Balancing Throughput and Power Consumption
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing beam selection to balance throughput and power consumption, leading to suboptimal energy usage in devices like user equipment (UEs).
Innovation Solution
The method involves identifying downlink and uplink throughput and power consumption for candidate beams and selecting a beam based on these metrics and throughput thresholds, enabling efficient communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If beam selection is performed without considering power consumption metrics, then throughput can be maximized, but energy efficiency deteriorates
Solution Approach 1:
The patent changes the selection criteria parameters from throughput-only to a composite metric that includes both throughput and power consumption. The UE calculates a selection metric that combines these parameters and selects beams based on optimized values of this composite metric, thereby resolving the contradiction between maximizing throughput and minimizing power consumption.
2Use of energy by moving object
If multiple beam metrics are evaluated and compared, then energy efficiency improves, but device complexity increases
Solution Approach 1:
The patent segments the beam selection process into distinct measurement phases (downlink throughput measurement, uplink throughput measurement, downlink power consumption measurement, uplink power consumption measurement) and evaluation phases. This segmentation allows the UE to systematically evaluate multiple metrics without overwhelming complexity, as each metric is measured and processed in a structured sequence.
Solution Approach 2:
The patent implements feedback mechanisms where the UE measures and evaluates beam metrics, then uses this feedback to select optimal beams. The selection metric calculation provides feedback that guides beam selection decisions, enabling energy efficiency improvement through systematic evaluation while managing device complexity through structured feedback loops.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may identify, for each of one or more candidate beams in a set of candidate beams, a downlink throughput, an uplink throughput, a downlink power consumption, and an uplink power consumption. The UE may select a beam based at least in part on: at least one of the downlink throughput or the uplink throughput, at least one of the downlink power consumption or the uplink power consumption, and one or more throughput thresholds. The UE may communicate using the selected beam. Numerous other aspects are described.