On the throughput comparison between multi-channel aloha and compressive random access

In this paper, we study the throughput of compressive random access for machine type communications (MTC) and compare it with that of multi-channel ALOHA. In compressive random access, the sparsity of active devices is exploited to use compressive sensing (CS) based low-complexity multiuser detection (MUD) when non-orthogonal spreading codes are used to support a number of devices. For tractable analysis, we consider a high signal-To-noise ratio (SNR) assumption with a collision model as well as flat fading environments. Based on the analysis, we can show that compressive random access is promising (and performs better than multi-channel ALOHA) to support a number of devices with a sufficiently low activity, which might be suitable for MTC.