论文标题
具有前跳和活性相关性的分布式大型MIMO中的活性检测
Activity Detection in Distributed Massive MIMO With Pilot-Hopping and Activity Correlation
论文作者
论文摘要
许多用于大规模机器型通信的现实世界情景涉及监视物理现象的传感器。结果，这些传感器的活性模式将相关。在这封信中，我们研究了如何利用用户活动的相关性，以改善无授予的随机访问系统中的检测性能，在这些系统中，用户通过收到的能量传输飞行员跳跃序列和检测。我们表明，我们可以通过添加正规化器（将活动相关性）添加到非阴性最小二乘方面来期望可观的性能提高，这已证明对独立的用户活动效果很好。
Many real-world scenarios for massive machine-type communication involve sensors monitoring a physical phenomenon. As a consequence, the activity pattern of these sensors will be correlated. In this letter, we study how the correlation of user activities can be exploited to improve detection performance in grant-free random access systems where the users transmit pilot-hopping sequences and the detection is performed based on the received energy. We show that we can expect considerable performance gains by adding regularizers, which take the activity correlation into account, to the non-negative least squares, which has been shown to work well for independent user activity.
