Compressive Sensing Medium Access Control for Wireless LANs

Abstract

We propose a medium access control (MAC) protocol for wireless local area networks (LANs) that leverages the theory of compressive sensing. The proposed compressive sensing MAC (CS-MAC) exploits the sparse property that, at a given time, only a few hosts are expected to request for radio channel access. Under CS-MAC, a central coordinator, such as a wireless access point (AP) can recover a multitude of these requests in one decoding operation, and then schedule multiple hosts accordingly. The coordinator is only required to receive a relatively small number of random projections of host requests, rather than polling individual hosts. This results in an efficient request-grant method. Via a hardware prototype based on a software-de ned radio platform, we demonstrate the feasibility of realizing CS-MAC with compressive measurements formed in the air to achieve high efficiency.