稳健性(进化)
干扰(通信)
计算机科学
电子线路
算法
干涉对准
噪音(视频)
无线
乘法(音乐)
电子工程
频道(广播)
数学
电信
人工智能
工程类
电气工程
多输入多输出
组合数学
图像(数学)
基因
化学
生物化学
作者
Pingdan Xiao,Qinghui Hong,Sichun Du,Jiliang Zhang
标识
DOI:10.1109/tii.2023.3310737
摘要
Interference alignment can overcome the shortcomings in traditional interference management. How to quickly and efficiently eliminate interference by using interference alignment is an important question. Aiming at this problem, we propose an analog in-memory circuit based on memristors for accelerating the opposite directional interference alignment algorithm, which is achieved by solving complex-valued matrix equation and multiple complex-valued matrix multiplication. The circuits can adapt to any numbers of antennas condition and adjust the memconductance to map with the channel matrix in communication systems. The evaluation shows that the circuits not only have 99% high accuracy in executing a $2\times 2$ channel state but also have good robustness against some nonideal factors from wireless communication that the corresponding accuracy can exceed 95% under the 10% noise impact. Moreover, the circuits accelerate the algorithm which is three orders of magnitude faster than software.
科研通智能强力驱动
Strongly Powered by AbleSci AI