Residual Sideband Cancellation Control for Massive MIMO UEs
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Solution Overview
Problem
Frequency dependent residual sideband (FDRSB) impairment limits data transmission rates in wireless communication systems, especially as carrier frequency increases, and becomes more significant with massive multiple-input multiple-output (MIMO) communications.
Innovation Solution
A network node measures FDRSB distortion, calculates thermal noise based on FDRSB and signal-to-noise ratio (SNR), and determines whether to enable or disable FDRSB cancellation at a user equipment (UE) based on these measurements and the modulation and coding scheme (MCS) used.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If FDRSB cancellation is always performed at the UE, then FDRSB impairment is mitigated, but UE processing complexity and energy consumption increase
Solution Approach 1:
The patent implements dynamic FDRSB cancellation by having the UE selectively perform cancellation based on received indications from the network node. The network node determines whether FDRSB cancellation should be performed based on current channel conditions and transmission parameters, and the UE adapts its processing accordingly. This resolves the contradiction by making the cancellation process conditional rather than always active, reducing complexity when not needed while maintaining reliability when necessary.
Solution Approach 2:
The patent changes the operational parameter of FDRSB cancellation from a static always-on state to a dynamic state controlled by network indications. The network node monitors transmission conditions and sends control messages to the UE to enable or disable FDRSB cancellation based on factors such as modulation and coding scheme, signal-to-noise ratio, and estimated FDRSB power. This parameter change allows the system to optimize between reliability and complexity based on real-time conditions.
2Reliability
If FDRSB cancellation is always performed at the UE, then FDRSB impairment is mitigated, but energy consumption increases
Solution Approach 1:
The patent implements dynamic energy management for FDRSB cancellation by controlling when the UE performs cancellation based on network indications. The UE monitors for enable/disable commands from the network node and adjusts its processing activity accordingly, consuming energy only when FDRSB cancellation is actually needed to maintain reliable communication. This resolves the energy consumption contradiction by eliminating wasteful processing during conditions where cancellation provides no benefit.
Solution Approach 2:
The network node performs the intelligence work of determining when FDRSB cancellation is needed, using its superior channel knowledge and computational resources. The UE simply follows the network's directives, enabling or disabling cancellation as instructed. This self-service approach at the network side relieves the UE of the burden of making complex decisions, reducing UE energy consumption while maintaining optimal FDRSB mitigation performance.
3Reliability
If FDRSB cancellation is always performed at the UE, then FDRSB impairment is mitigated, but latency increases
Solution Approach 1:
The patent implements dynamic latency optimization by having the UE perform FDRSB cancellation only when explicitly indicated to do so by the network node. When channel conditions are good or FDRSB power is low, the network can instruct the UE to skip cancellation, immediately reducing processing latency. When conditions deteriorate, the network can enable cancellation to maintain reliability. This dynamic approach resolves the latency contradiction by eliminating unnecessary processing steps while maintaining reliability when needed.
4Device complexity
If FDRSB cancellation is disabled at the UE, then processing resources are saved, but FDRSB impairment remains
Solution Approach 1:
The patent implements a feedback control mechanism where the network node continuously monitors transmission conditions including signal-to-noise ratio, modulation and coding scheme, and estimated FDRSB power. Based on this feedback, the network determines when FDRSB cancellation is necessary and sends control indications to the UE. This feedback loop ensures that FDRSB cancellation is performed only when actually needed to counter harmful FDRSB impairment, resolving the contradiction by using intelligent monitoring and control rather than static enable/disable settings.
Solution Approach 2:
The network node performs preliminary assessment of channel conditions and FDRSB power before instructing the UE to perform cancellation. By evaluating whether cancellation is needed in advance and sending appropriate control messages, the network ensures that the UE performs cancellation only when necessary, preventing both unnecessary processing and inadequate mitigation. This preliminary action resolves the contradiction by making informed decisions about when to allocate processing resources.
Data Source
AI summary
Various aspects are described herein for frequency dependent residual sideband (FDRSB) cancellation. A network node may measure an FDRSB distortion and may calculate a thermal noise based at least in part on the FDRSB distortion and a received signal-to-noise ratio (SNR). The network node may identify, based at least in part on the thermal noise, the FDRSB, and a modulation and coding scheme (MCS), whether to enable or disable FDRSB cancellation at a user equipment (UE). The network node may transmit an FDRSB cancellation message that indicates for the UE to enable FDRSB cancellation or that indicates for the UE to disable FDRSB cancellation, and the UE may selectively perform FDRSB cancellation based at least in part on the FDRSB cancellation message. This may reduce UE processing resources, UE energy consumption, and latency at a demodulator of the UE.