UE Feedback Adjustment for Downlink Flow Rate Control
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Solution Overview
Problem
Current wireless communication systems, particularly LTE, face challenges in managing downlink flow rates effectively to balance user equipment (UE) internal conditions and network adjustments, leading to inefficiencies in throughput control due to Outer Loop Link Adaption (OLLA) counteracting UE attempts to reduce flow rates.
Innovation Solution
The UE adjusts feedback to the base station by simulating degraded channel conditions through lower Channel Quality Indicator (CQI) reporting and overriding HARQ feedback, allowing for NACK transmission even for correctly received transport blocks to manage internal overload conditions and neutralize CQI offsets applied by the base station.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the UE reports accurate CQI to the base station, then the downlink throughput is maximized, but the UE cannot reduce flow rate during internal overload conditions
Solution Approach 1:
The UE applies preliminary anti-action by intentionally reporting lower CQI values than actually measured, and by sending NACK feedback for correctly received transport blocks. This preemptive deception counteracts the base station's OLLA mechanism before it can increase the flow rate, allowing the UE to control downlink throughput during internal overload conditions.
2Productivity
If the UE overrides HARQ feedback to send NACK for correctly received blocks, then flow rate is reduced, but error rates improve
Solution Approach 1:
The UE converts the harmful effect of increased error rates into a beneficial flow rate reduction mechanism. By intentionally sending NACK feedback for correctly received transport blocks, the UE creates artificial retransmissions that force the base station to reduce downlink flow rate, thereby preventing internal overload conditions.
3Reliability
If the base station applies CQI offset through OLLA, then link reliability is improved, but the UE loses control over flow rate
Solution Approach 1:
The UE applies preliminary anti-action by intentionally reporting lower CQI values than actually measured, and by sending NACK feedback for correctly received transport blocks. This preemptive deception counteracts the base station's OLLA mechanism before it can increase the flow rate, allowing the UE to control downlink throughput during internal overload conditions.
4Productivity
If the UE simulates degraded channel conditions, then flow rate is reduced during overload, but throughput control precision decreases
Solution Approach 1:
The UE changes the CQI parameter reported to the base station, transmitting values lower than the actually measured channel quality. This parameter manipulation allows the UE to simulate degraded channel conditions and thereby control the downlink flow rate to match its internal processing capabilities.
Data Source
AI summary
Certain aspects of the present disclosure relate to methods and apparatus for adjusting flow rate of transmissions received at a device. A user equipment (UE) determines, in response to detecting a trigger condition, a proposal to adjust feedback provided to a base station (BS) in order to adjust a flow rate of transmissions received at the UE from the BS. The UE adjusts the feedback based on the proposal and at least one additional condition and transmits the adjusted feedback to the BS.


