Energy Harvesting SDT Random Access Optimization
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Solution Overview
Problem
Massive machine-type communications (mMTC) devices, especially energy-harvesting devices, face energy constraints that can lead to outages during random access procedures due to insufficient energy for transmission.
Innovation Solution
An apparatus and method that determine the congestion level of a random access channel and transmit barring parameters to user equipment, based on both the congestion level and the energy constraints of the user equipment, to optimize energy conservation and minimize delay for energy-harvesting devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If energy-harvesting devices perform random access procedures with limited energy, then transmission attempts can be made, but energy depletion leads to outages and access failures
Solution Approach 1:
The network determines congestion level and transmits barring parameters to UEs before they initiate random access procedures. This preliminary action allows energy-constrained devices to assess channel conditions and energy requirements in advance, preventing futile transmission attempts that would deplete their limited energy reserves
Solution Approach 2:
The system dynamically adjusts barring parameters based on real-time congestion level assessment. When congestion is high, more restrictive barring is applied to reduce overall access attempts and conserve device energy. When congestion is low, barring is relaxed to allow faster access, optimizing the balance between reliability and energy consumption
2Stability of the object's composition
If congestion control is applied to random access channel, then channel stability is improved, but access delay increases for energy-constrained devices
Solution Approach 1:
The system changes congestion level parameters dynamically based on current channel conditions. By adjusting barring factors and back-off times according to measured congestion levels, the system maintains channel stability while minimizing access delay for energy-constrained devices that need rapid access
3Loss of energy
If barring parameters are optimized for energy conservation, then device energy usage is reduced, but access success rate may decrease due to more restrictive transmission limits
Solution Approach 1:
The network continuously monitors random access outcomes and congestion levels, then adjusts barring parameters based on this feedback. This closed-loop control ensures that energy conservation measures do not unduly penalize access success rates, as parameters are optimized based on actual system performance and conditions
Data Source
AI summary
A network node may determine a congestion level of a random access channel; and may transmit, to one or more energy constrained user equipments, at least one barring parameter, wherein the at least one barring parameter may be based, at least partially, on the determined congestion level and an energy constraint of the one or more user equipments. An energy constrained user equipment may receive a system information block comprising a barring factor and a back-off time; may determine whether to transmit a preamble for a random access procedure based, at least partially, on the barring factor and a maximum number of preamble transmission attempts; may transmit the preamble based on a determination to do so, or may wait for the back-off time based on a determination to not do so.