Macro Diversity Combining Resource Allocation in Wireless Networks
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Solution Overview
Problem
The existing macro diversity combining (MDC) methods in WCDMA and E-HSPA systems inefficiently allocate demodulation resources, leading to wasted resources as services with different features do not fully utilize MDC, resulting in small gains for high-speed non-real-time services.
Innovation Solution
A method where the base station determines whether UE service data meets conditions for demodulation resource allocation, allowing for flexible implementation of MDC by allocating resources only to service data meeting specific criteria such as service rate or channel type, thereby optimizing resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If demodulation resources are allocated for all service data in MDC implementation, then the MDC gain is improved, but the resource waste increases for services with small gains
Solution Approach 1:
The patent applies local quality by differentiating resource allocation based on service type. Differentiated service bearing parameters are introduced to identify real-time services that require MDC processing, while non-real-time services are excluded. This creates localized quality differences in resource allocation - high-quality MDC processing for real-time services and no MDC processing for non-real-time services, thereby avoiding resource waste while maintaining reliability for critical services.
Solution Approach 2:
The patent implements dynamic resource allocation by introducing differentiated service bearing parameters that enable the system to adaptively determine which services require MDC processing. The base station dynamically identifies real-time services versus non-real-time services and applies MDC processing accordingly, making the resource allocation flexible and responsive to actual service requirements rather than applying a static uniform approach to all services.
2Reliability
If MDC is implemented for all services, then the anti-interference capability is improved, but the system efficiency decreases due to unnecessary resource allocation
Solution Approach 1:
The patent applies local quality by introducing differentiated service bearing parameters to identify real-time services that require MDC processing for anti-interference capability, while excluding non-real-time services. This creates localized quality differences - full MDC protection for real-time services and no MDC for non-real-time services - thereby maintaining anti-interference capability where needed while improving overall system efficiency by avoiding unnecessary processing.
Solution Approach 2:
The patent implements partial action by applying MDC processing only to the subset of services that actually require it (real-time services), rather than applying it excessively to all services. The differentiated service bearing parameters enable the system to perform MDC processing partially - only where necessary for real-time services - thereby improving system efficiency while maintaining anti-interference capability for critical services.
Data Source
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AI summary
A method, system, base station, network node, and user equipment (UE) for implement macro diversity combining (MDC) are disclosed. The method includes these steps: the base station judges whether the UE service data meets condition for allocating demodulation resources; the base station allocates demodulation resources for the service data meeting the condition, demodulates the service data, and forwards the demodulated service data to the network node for implementing MDC. In the technical solution of the present embodiment, the base station may judge whether the UE service data meets condition for allocating demodulation resources, so that the base station can determine whether to demodulate the service data and forward the demodulated service data to the network node for implementing MDC. Thus, MDC is implemented in a more flexible mode, the utilization of uplink demodulation resources is improved, and the system performance is optimized.