Adaptive Waveform Selection in Millimeter-Wave Wireless Systems
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Solution Overview
Problem
Millimeter-wave wireless communication systems face challenges such as high signal attenuation and susceptibility to blockage, and the use of analog beamforming introduces issues like peak-to-average power ratio (PAPR) and reduced spectral efficiency.
Innovation Solution
Implementing adaptive waveform selection between SC-FDM and OFDM based on analyzing parameters of a wireless communication scheduling grant to dynamically choose the most efficient waveform for signal transmission, minimizing PAPR and maximizing spectral efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If analog beamforming is used in millimeter-wave systems, then signal attenuation and blockage issues are addressed, but peak-to-average power ratio increases and spectral efficiency decreases
Solution Approach 1:
The system dynamically selects between SC-FDM and OFDM waveforms based on channel conditions and scheduling grant parameters. This dynamic adaptation allows the system to optimize spectral efficiency by choosing SC-FDM when low PAPR is needed (improving power amplifier efficiency) and OFDM when higher spectral efficiency is required, while maintaining reliable millimeter-wave communication through beamforming
Solution Approach 2:
The patent changes the waveform parameter (from fixed to variable) based on analyzing scheduling grant parameters such as resource allocation, modulation scheme, and channel conditions. This parameter adaptation resolves the contradiction by allowing the system to adjust PAPR characteristics and spectral efficiency according to specific transmission requirements
2Device complexity
If a fixed waveform is used in millimeter-wave systems, then system complexity is reduced, but adaptability to varying channel conditions deteriorates
Solution Approach 1:
The system transitions from a fixed waveform approach to a dynamic waveform selection mechanism that adapts to varying channel conditions, resource allocations, and interference levels. The wireless device analyzes scheduling grant parameters and automatically selects the most appropriate waveform, providing adaptability without requiring complex manual configuration
Solution Approach 2:
The wireless device performs self-service by autonomously analyzing its own scheduling grant parameters and channel conditions to select the optimal waveform. This self-adaptation mechanism provides versatility without increasing overall system complexity, as the selection process is driven by locally available information
3Use of energy by moving object
If SC-FDM is used instead of OFDM, then peak-to-average power ratio is reduced, but spectral efficiency decreases
Solution Approach 1:
The system dynamically switches between SC-FDM and OFDM based on real-time analysis of scheduling grant parameters. When power amplifier efficiency is prioritized (e.g., in power-constrained scenarios), SC-FDM is selected for its lower PAPR. When spectral efficiency is prioritized (e.g., in bandwidth-constrained scenarios), OFDM is selected, thus dynamically resolving the efficiency trade-off
Solution Approach 2:
The waveform type parameter is changed based on scheduling grant analysis, allowing the system to adjust the PAPR-spectral efficiency trade-off according to specific transmission requirements. This parameter adaptation enables optimal power usage while maintaining high spectral efficiency when conditions permit
Data Source
AI summary
Systems and methods of wireless communication in which wireless devices are adapted to implement adaptive waveform selection are disclosed. For example, operation according to embodiments may provide for use of a waveform design that minimizes peak-to-average power ratio (PAPR), such as single-carrier frequency division multiplexing (SC-FDM), as well as a waveform design that provides higher spectral efficiency, such as orthogonal frequency division multiplexing (OFDM), for scenarios that are not power-limited and the higher PAPR is acceptable. Adaptive waveform selection may be based implicitly on one or more parameters or may be based on explicit signaling. Adaptive waveform selection may be utilized with respect to initially establishing a communication link and/or with respect to an established communication link.