CCE Partitioning for Uplink Downlink Resource Allocation
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Solution Overview
Problem
In wireless communication systems, the allocation of control channel resources for uplink and downlink user data communications in FDMA systems leads to CCE blocking, which adversely affects cell throughput due to the need for concurrent UL and DL CCE assignments, and existing methods either result in equal blocking probabilities or higher UL blocking probabilities.
Innovation Solution
Partitioning CCEs into exclusive uplink and downlink sub-sets, allowing for non-concurrent allocation processing and reducing blocking probabilities by organizing CCEs into groups that can be pseudo-randomly or alternately assigned to either direction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If CCE resources are allocated to UL and DL users in turn with equal probability, then the blocking probability is balanced between UL and DL, but the overall cell throughput is reduced due to concurrent allocation constraints
Solution Approach 1:
The CCE resources are segmented into multiple groups, where each group can be independently allocated to either UL or DL users. This segmentation allows the system to avoid concurrent allocation conflicts while maintaining balanced blocking probabilities, as each group can be assigned to the direction with higher priority or lower blocking probability at that moment.
Solution Approach 2:
The allocation of CCE groups to UL or DL is made dynamic rather than static. The system can adaptively adjust which groups are allocated to which direction based on real-time conditions, such as traffic demand and blocking probabilities, thereby optimizing cell throughput while maintaining reliability.
2Ease of operation
If DL users are allocated CCEs first until a threshold is reached, then UL users are assigned remaining CCEs, then UL blocking probability increases, but concurrent allocation processing is not required
Solution Approach 1:
By segmenting CCE resources into multiple groups, the system ensures that UL users have access to dedicated groups rather than relying on remaining resources after DL allocation. This segmentation guarantees a minimum level of resource availability for UL, reducing blocking probability while maintaining simple sequential processing.
Solution Approach 2:
Different CCE groups can have different allocation characteristics tailored to specific needs. For example, some groups can be preferentially allocated to UL when UL traffic demand is high, while others can be allocated to DL when DL demand is high, creating local optimization without complex concurrent processing.
3Reliability
If CCEs are partitioned into exclusive UL and DL sub-sets, then blocking probabilities are reduced for both directions, but the flexibility of CCE allocation is restricted
Solution Approach 1:
The CCE resources are segmented into multiple groups that can be flexibly assigned to UL or DL. This segmentation provides a middle ground between exclusive partitioning and completely shared allocation, reducing blocking probabilities by ensuring dedicated resources while maintaining flexibility through dynamic group assignment.
Solution Approach 2:
Each CCE group serves multiple purposes and can be allocated to either UL or DL based on demand. This multi-functionality allows the system to reduce blocking probabilities by providing dedicated groups while maintaining allocation flexibility, as the same groups can serve different directions at different times.
Data Source
AI summary
A mobile telecommunications system is described in which a base station allocates control channel elements for signalling resource allocation data for a number of mobile telephones. The CCEs are partitioned into at least two groups, one for uplink allocations and one for downlink allocations. In one embodiment, the group size is fixed while in another embodiment, the group size changes between sub-frames. In another embodiment, the group size is varied in a pseudo-random manner.