Uplink Resource Allocation for LTE sTTI Efficiency
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Solution Overview
Problem
In LTE systems, the shortened transmission time interval (sTTI) mechanism results in more than 10% resource wastage due to limited resource scheduling granularity, leading to inefficiencies in uplink data transmission.
Innovation Solution
A resource allocation method that provides L resource allocation schemes, where the start location of each scheme is determined based on a resource unit other than the (S+1)th unit in the system bandwidth, allowing for more flexible and efficient allocation of resources to satisfy prime factor constraints, thereby reducing bandwidth loss and waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resource scheduling is performed using sRBG in sTTI mechanism, then resource allocation can be achieved, but more than 10% of resources cannot be scheduled causing resource waste
Solution Approach 1:
The patent segments the resource allocation space by dividing Q consecutive resource units into multiple groups and defining different resource allocation schemes for different segments. This allows the system to allocate resources at both sRBG level and individual resource unit level, enabling more granular control and reducing the 10%+ resource waste caused by coarse sRBG granularity.
Solution Approach 2:
The patent introduces dynamic resource allocation by providing L different resource allocation schemes that can be flexibly selected based on system conditions. The network device can dynamically choose from multiple allocation modes (including L1 schemes with restricted start locations and L2 schemes with (S+1)th resource unit start locations) to optimize resource utilization and adapt to varying traffic demands.
2Device complexity
If resource allocation starts at (S+1)th resource unit in sRBG, then resource block group scheduling is simplified, but prime factor constraints cannot be well satisfied leading to bandwidth loss
Solution Approach 1:
The patent applies local quality by allowing different resource allocation schemes (L1 and L2) to have different start location characteristics in different local contexts. L1 schemes use resource units other than (S+1)th units as start locations to satisfy prime factor constraints, while L2 schemes use (S+1)th units for simpler scheduling. This local differentiation enables the system to optimize for prime factor satisfaction in specific bandwidth regions without increasing overall scheduling complexity.
Data Source
AI summary
Embodiments of this application provide resource allocation methods and apparatuses. One method includes: receiving, by a terminal device, resource allocation information that indicates a first resource, determining, by the terminal device, a second resource based on the resource allocation information and an offset value represented by M, wherein the offset value is configured based on higher layer signaling and indicates a start location of the first resource offsets from a start location of the second resource by M resource units, and sending, by the terminal device, uplink data on the second resource to a network device.