VoIP Scheduling with MU-MIMO and Early Termination
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Solution Overview
Problem
Existing VoIP transmission methods in wireless networks face challenges such as capacity loss due to early signal termination, inefficient resource allocation, and the need for separate scheduling schemes for retransmissions, which limits network capacity and increases overhead.
Innovation Solution
A method that schedules VoIP signals by allocating pre-defined resources for initial transmissions and changing resources for retransmissions, using multi-user multiple input multiple output (MU-MIMO) scheduling, and implementing an early termination scheme to optimize resource usage and reduce collisions, thereby increasing network capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If persistent scheduling is used with pre-allocated time-frequency resources for the entire voice burst, then transmission reliability is improved, but capacity loss occurs when signals terminate early wasting the time between early termination and the end of the time-frequency resource
Solution Approach 1:
The patent applies dynamics by transitioning from static persistent scheduling to dynamic semi-persistent scheduling. The system initially uses persistent scheduling for reliable transmission, then dynamically switches to SPS when early termination is detected, allowing resources to be reallocated and preventing capacity loss while maintaining transmission reliability.
Solution Approach 2:
The patent changes the scheduling parameter from fixed persistent allocation to flexible semi-persistent allocation. By monitoring packet reception and dynamically adjusting the scheduling mode based on transmission success, the system optimizes both reliability and network capacity utilization.
2Productivity
If semi-persistent scheduling is used with dynamic resource allocation for retransmissions, then network capacity is improved, but overhead increases significantly compared to persistent scheduling
Solution Approach 1:
The patent segments the scheduling approach into two parts: persistent scheduling for initial transmissions (low overhead) and dynamic SPS only when needed (high capacity). This segmentation allows the system to benefit from both approaches while minimizing the overhead burden of full SPS implementation.
Solution Approach 2:
The patent applies partial SPS action by using dynamic resource allocation only when early termination occurs, rather than applying SPS to all transmissions. This partial application reduces overhead while still capturing the capacity benefits where needed.
3Adaptability or versatility
If conventional hybrid SPS/PS solutions are used, then some flexibility is provided, but the statistical use of MU-MIMO to resolve collisions and increase system capacity is not addressed
Solution Approach 1:
The patent merges hybrid SPS/PS with MU-MIMO statistical multiplexing. When early termination is detected, the system not only switches to SPS but also utilizes MU-MIMO to statistically resolve collisions and increase capacity, combining the benefits of both approaches into a unified solution.
Solution Approach 2:
The patent introduces MU-MIMO statistical multiplexing as an intermediary mechanism between SPS/PS scheduling and collision resolution. This intermediary layer enables the system to handle collisions more effectively and increase overall capacity while maintaining the flexibility of hybrid scheduling.
Data Source
AI summary
A system and method for increasing the capacity of VoIP transmissions is disclosed. A preferred embodiment comprises fixing original transmissions into a frequency band and changing the retransmissions into separate frequency bands. Alternatively, the original transmissions may be changed into separate bands while the retransmissions may be fixed into a single frequency band. Additionally, an early termination procedure may be utilized and a combination of multi-input multi-output scheduling may be performed to further increase the capacity of the system. Another embodiment comprises reducing the overhead of a feedback signal for semi-persistent scheduling.


