In this letter, we extend the sparse Kronecker-product (SKP) coding scheme, originally designed for the additive white Gaussian noise (AWGN) channel, to multiple input multiple output (MIMO) unsourced random access (URA). With the SKP coding adopted for MIMO transmission, we develop an efficient Bayesian iterative receiver design to solve the intended challenging trilinear factorization problem. Numerical results show that the proposed design outperforms the existing counterparts, and that it performs well in all simulated settings with various antenna sizes and active-user numbers.
翻译:在这封信中,我们把原先为白高斯噪音添加剂频道设计的稀有克朗产品编码方案(SKP)扩大到多种输入多重输出(MIMO)无源随机访问(URA)。随着为MIMO传输采用了SKP编码,我们开发了一个高效的Bayesian迭代接收器设计,以解决预期的具有挑战性的三线因子化问题。数字结果表明,拟议的设计优于现有对应方,而且在所有模拟环境中都表现良好,天线大小不同,用户数字也不同。