Heterogeneous Interference Alignment Selection in WLAN
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Solution Overview
Problem
Existing interference alignment (IA) schemes in wireless communication, such as opportunistic interference alignment (OIA) and iterative interference alignment (IA), face challenges in achieving optimal throughput due to varying signal-to-noise ratios (SNR), with OIA performing well at high SNR and iterative IA performing better at low SNR, leading to a need for a method to complement these schemes and adaptively select the most effective IA approach based on network conditions.
Innovation Solution
A method and apparatus that selectively apply OIA and iterative IA by measuring the wireless network environment, calculating predicted throughputs based on SNR, frame overhead, and other parameters, and choosing the IA scheme to maximize throughput, allowing for adaptive communication by considering the SNR and network conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If OIA is used, then throughput is improved at high SNR, but performance deteriorates at low SNR
Solution Approach 1:
The system dynamically switches between OIA and iterative IA schemes based on measured SNR conditions. The AP calculates predicted throughputs for both schemes and selects the optimal one, making the interference alignment approach adaptive to varying channel conditions rather than fixed.
Solution Approach 2:
The invention changes the operational parameter (IA scheme selection) based on SNR conditions. By calculating predicted throughputs using different parameters (sum-rate, frame period, scheduling time for OIA; sum-rate, frame period, iteration time, number of iterations for iterative IA), the system optimizes performance across different SNR environments.
2Productivity
If iterative IA is used, then throughput is improved at low SNR, but performance deteriorates at high SNR
Solution Approach 1:
The system dynamically switches between OIA and iterative IA schemes based on measured SNR conditions. The AP calculates predicted throughputs for both schemes and selects the optimal one, making the interference alignment approach adaptive to varying channel conditions rather than fixed.
Solution Approach 2:
The invention changes the operational parameter (IA scheme selection) based on SNR conditions. By calculating predicted throughputs using different parameters (sum-rate, frame period, scheduling time for OIA; sum-rate, frame period, iteration time, number of iterations for iterative IA), the system optimizes performance across different SNR environments.
3Device complexity
If a single IA scheme is used, then implementation is simple, but throughput is limited by varying SNR conditions
Solution Approach 1:
The system dynamically switches between OIA and iterative IA schemes based on measured SNR conditions. The AP calculates predicted throughputs for both schemes and selects the optimal one, making the interference alignment approach adaptive to varying channel conditions rather than fixed.
Solution Approach 2:
The system implements a universal selection mechanism that evaluates both OIA and iterative IA schemes. The AP has the capability to perform both schemes and selects the optimal one based on predicted throughput calculations, making the system multi-functional rather than limited to a single IA approach.
Data Source
AI summary
Provided is a method and apparatus for performing a wireless communication based on a heterogeneous interference alignment (IA) scheme for a downlink multi-user multiple-input and multiple-output (DL MU-MIMO) communication in a wireless local area network (WLAN), and a wireless communication method employing a hybrid scheme that may include storing maximum throughputs of IA schemes, measuring an environment of a wireless network, calculating predicted throughputs of the IA schemes based on the measured environment of the wireless network, selecting an IA scheme from among the IA schemes based on the predicted throughputs, and communicating with a user terminal based on the selected IA scheme.