MIMO Resource Allocation via HARQ Interlace Synchronization
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Solution Overview
Problem
Current wireless communication systems face inefficiencies in supporting MIMO transmission, particularly in dynamically scheduling and allocating resources between single-user and multi-user MIMO groups, leading to suboptimal throughput and resource waste due to differences in HARQ process termination times.
Innovation Solution
The system classifies users into SU-MIMO and MU-MIMO groups and allocates transmission resources such as HARQ interlaces and frequency channels based on criteria like data requirements and channel conditions, using HARQ with blanking for SU-MIMO and without blanking for MU-MIMO to optimize resource utilization and synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users are scheduled individually for MIMO transmission (SU-MIMO), then transmission reliability and throughput are improved, but resource utilization deteriorates due to HARQ process termination time differences
Solution Approach 1:
The patent combines SU-MIMO and MU-MIMO scheduling into a unified framework where users are classified into different groups. By merging the scheduling mechanisms and resource allocation procedures for both transmission types, the system achieves improved resource utilization while maintaining the throughput benefits of individual user scheduling through the use of HARQ interlace structures and coordinated resource assignment.
2Productivity
If transmission resources are dynamically reallocated based on operating conditions, then resource utilization is improved, but system complexity increases
Solution Approach 1:
The patent segments users into distinct groups (SU-MIMO users and MU-MIMO users) and allocates HARQ interlaces to each group separately. This segmentation simplifies the scheduling complexity by allowing independent resource management for each user type while still enabling dynamic reallocation within each group based on operating conditions such as channel quality and traffic demand.
Solution Approach 2:
The patent implements dynamic resource reallocation where HARQ interlaces can be reassigned between user groups based on changing operating conditions. The system continuously monitors channel conditions, user throughput requirements, and interference levels to dynamically adjust the allocation of time-frequency resources and HARQ processes, optimizing resource utilization without requiring complete reconfiguration of the system.
Data Source
AI summary
Techniques for supporting MIMO transmission are described. Users are classified into a first group of users to be scheduled individually for MIMO transmission and a second group of users that can be scheduled together for MIMO transmission. Transmission resources are allocated to the first and second groups, e.g., based upon various criteria such as the number of users in each group, data requirements of the users, total loading for each group, etc. The transmission resources may be hybrid automatic retransmission (HARQ) interlaces, frequency channels, time frequency resources, etc. The resource allocation may be semi-static. The transmission resources allocated to each group are used for data transmission on the downlink and/or uplink for the users in the group. HARQ with blanking may be used for data transmission for the users in the first group. HARQ without blanking may be used for data transmission for the users in the second group.