Radio Resource Adaptation for 5G Channel Diversity
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Solution Overview
Problem
Current 5G wireless communication systems face challenges in providing high reliability, low latency, and coverage extension due to deficient wireless channels caused by lack of diversity, leading to long outage periods and degraded received power.
Innovation Solution
The proposed solution involves adapting the transmission scheme by determining parameters of the radio channel associated with the radio resource and selecting an additional radio resource to exploit diversity gains, thereby improving reliability and resilience against fading events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single radio resource is used for transmission, then resource allocation is simple, but channel diversity is insufficient leading to long outage periods and degraded received power
Solution Approach 1:
The transmission resource is segmented into multiple radio resources (first radio resource and second radio resource) that are selected based on channel parameters. This segmentation provides channel diversity and reduces outage periods by ensuring that not all transmissions are affected by the same fading conditions.
Solution Approach 2:
The patent introduces frequency diversity as an additional dimension by selecting radio resources with frequency separation larger than the coherence bandwidth. This dimensional approach to resource selection combats fading by ensuring that resources experience independent channel conditions.
2Reliability
If additional radio resources are selected to exploit diversity gains, then reliability is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary determination of channel parameters (coherence time, coherence bandwidth, frequency selectivity, time selectivity) before selecting radio resources. This preliminary characterization enables informed resource selection that exploits diversity gains while managing complexity through systematic parameter-based decision making.
Solution Approach 2:
The patent changes the selection criteria for radio resources based on determined channel parameters. Specifically, it selects resources with frequency separation > coherence bandwidth for frequency diversity, and time separation > coherence time for time diversity, transforming the resource selection from arbitrary to parameter-driven.
3Reliability
If radio resources with large frequency separation are selected, then frequency diversity is improved, but resource availability decreases
Solution Approach 1:
The patent implements dynamic resource selection where the frequency or time separation between selected radio resources is adjusted based on the determined channel parameters. When coherence bandwidth is large, the system dynamically selects resources with larger separation; when coherence time is large, it selects resources with larger time separation, optimizing the use of available resources.
Solution Approach 2:
The system changes the operational parameters of resource selection by adapting the separation criteria to the specific channel conditions. This parameter-based adaptation allows the system to maximize diversity gains while utilizing the maximum possible number of available resources for the given channel characteristics.
Data Source
AI summary
A user device, UE, and a base station, BS, for a wireless communication system is described. Each is using a transmission scheme on a radio resource, and is to determine one or more parameters of a radio channel associated with the radio resource, and to adapt the transmission scheme by selecting an additional radio resource on the basis of the determined one or more parameters. Further a wireless communication system, comprising two or more of the above devices, corresponding methods and a computer program product are described.