Analog-in-Memory Accelerator Design Based on Memristive Arrays for Opposite Directional Interference Alignment Algorithm
Pingdan Xiao, Qinghui Hong, Sichun Du, Jiliang Zhang
Abstract
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 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$2\times 2$</tex-math></inline-formula> 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.