Traffic-Profile-Based Scheduling Request Resource Allocation
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Solution Overview
Problem
Current wireless communication systems, particularly LTE, face challenges in efficiently allocating resources for scheduling requests based on varying traffic profiles, leading to suboptimal resource utilization and increased control signaling, especially for high-priority and low-latency traffic.
Innovation Solution
The system determines the type of traffic associated with each user equipment (UE) and allocates resources in the control channel for scheduling requests, allowing UEs to convey additional information such as buffer status, packet size, and priority, enabling the base station to efficiently assign resources for uplink transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resources are allocated uniformly for scheduling requests, then resource allocation is simple, but resource utilization efficiency deteriorates for varying traffic profiles
Solution Approach 1:
The patent applies local quality by allocating different resource configurations to UEs based on their specific traffic profiles. Instead of uniform resource allocation, the base station determines traffic types (e.g., voice, video, data) for each UE and assigns tailored scheduling request resources, including different numbers of bits and resource locations, to match each UE's traffic characteristics and priorities.
Solution Approach 2:
The patent implements dynamics by making resource allocation adaptive to changing traffic conditions. The base station continuously monitors traffic profiles and dynamically adjusts scheduling request resource allocations in response to traffic type changes, priority updates, and buffer status variations, allowing the system to optimize resource utilization as traffic patterns evolve.
2Productivity
If additional traffic information is conveyed in scheduling requests, then scheduling efficiency improves, but control signaling overhead increases
Solution Approach 1:
The patent applies parameter changes by varying the number of bits in scheduling requests based on traffic profile and priority. High-priority UEs with specific traffic types (e.g., voice over LTE) are allocated more bits to convey detailed traffic information, while lower-priority UEs use fewer bits. This selective information conveyance optimizes scheduling efficiency without uniformly increasing signaling overhead across all UEs.
Solution Approach 2:
The patent implements partial action by having only high-priority UEs with specific traffic profiles convey additional traffic information in their scheduling requests. Not all UEs are required to send extended information, which allows the system to gain scheduling efficiency where needed while avoiding unnecessary signaling overhead from all UEs.
3Reliability
If traffic-profile-dependent resource allocation is implemented, then network performance improves, but system complexity increases
Solution Approach 1:
The patent applies self-service by enabling UEs to autonomously determine their own traffic types and priorities based on their buffered data, then independently select appropriate scheduling request resources without requiring complex base station processing. The UE examines its buffer contents, identifies traffic types (voice, video, data), and autonomously accesses the correct resource configuration, reducing base station complexity while maintaining performance benefits.
Solution Approach 2:
The patent implements preliminary action by pre-configuring multiple resource sets at the base station, each tailored to specific traffic profiles and priorities. These resource configurations are prepared in advance and stored for UE access, eliminating the need for real-time complex calculations during scheduling. The base station simply provides the appropriate pre-configured resource set based on UE traffic profile identification.
Data Source
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AI summary
Certain aspects of the present disclosure relate to methods and apparatus for allocating resources for the transmission of scheduling requests based on UE traffic profiles. In one embodiment, a base station determines, for one or more user equipments (UEs), a type of traffic to be exchanged between the one or more UEs and the base station. The base station allocates resources for the one or more UEs to use for sending a scheduling request based, at least in part, on the type of traffic associated with each of the one or more UEs. The base station signals an indication of the allocated resources to each of the one or more UEs.