LTE Resource Allocation for Boundary Region Interference
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Solution Overview
Problem
Existing resource allocation methods in LTE networks often lead to interference between neighbor cells, degrading voice service quality and reducing the number of users due to inefficient resource allocation without inter-cell resource management.
Innovation Solution
A method that monitors resource information across multiple base stations, allocates resources to terminals in boundary regions while avoiding interference by using fixed positions and modulation schemes, and shares resources to ensure stable voice service quality and minimize data service degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dynamic scheduling is used to allocate resources at each TTI to maximize channel capacity, then channel capacity is improved, but control region saturation occurs when multiple small packets are allocated
Solution Approach 1:
The patent segments resource allocation into two types: dynamic scheduling for data services and semi-persistent scheduling for voice services. This segmentation allows different scheduling mechanisms to handle different service types, preventing control region saturation while maintaining channel capacity optimization.
Solution Approach 2:
The patent implements dynamic switching between dynamic scheduling and semi-persistent scheduling based on service type. The system dynamically adjusts the scheduling mechanism to match the service requirements, allowing optimal resource allocation without control region overload.
2Device complexity
If semi-persistent scheduling is used with fixed resource allocation to reduce PDCCH consumption, then control channel usage is improved, but channel capacity cannot be maximized
Solution Approach 1:
The patent segments resource allocation strategies by service type: semi-persistent scheduling for voice services (reducing PDCCH usage) and dynamic scheduling for data services (maximizing channel capacity). This segmentation allows each scheduling type to optimize for its specific requirements.
Solution Approach 2:
The patent changes the scheduling parameter (from fixed to dynamic) based on service type. For voice services, fixed resource allocation is used; for data services, dynamic resource allocation is used. This parameter change allows the system to achieve both reduced PDCCH consumption and maximized channel capacity.
3Device complexity
If typical resource allocation is performed without neighbor cell resource information, then device complexity is reduced, but inter-cell interference degrades voice service quality
Solution Approach 1:
The patent merges resource allocation decisions across neighbor cells by coordinating semi-persistent scheduling resources. Base stations share voice service resource information and coordinate allocations to avoid inter-cell interference, improving voice service quality while maintaining manageable device complexity.
Solution Approach 2:
The patent introduces an intermediary mechanism for sharing resource allocation information between neighbor cells. This intermediary information exchange allows base stations to coordinate resource allocations and avoid interference without requiring complex direct coordination, balancing simplicity and reliability.
4Reliability
If radio resources are allocated more than needed to avoid inter-cell interference, then voice service reliability is improved, but the number of users decreases
Solution Approach 1:
The patent merges resource allocation across multiple cells through coordinated semi-persistent scheduling. By sharing resource information and coordinating allocations, the system avoids redundant resource allocation while maintaining voice service quality, thereby increasing the number of supported users.
Solution Approach 2:
The patent changes the resource allocation parameter from independent per-cell allocation to coordinated multi-cell allocation. This parameter change allows efficient resource utilization across cells, improving both voice service reliability and user capacity.
Data Source
AI summary
The present disclosure relates to resource allocation method and apparatus. The resource allocation method includes monitoring resource information of a plurality of base stations including a first base station and a second base station, receiving a resource allocation request from a first terminal that is located in a boundary region and connected to the first base station, and checking whether a second terminal using a voice service is located in the boundary region. When the second terminal is located in the boundary region, resources are allocated to the first terminal based on resources allocated to the second terminal. The boundary region is an overlapped region of cells of the first base station and the second base station.


