Leveraging One-Hop Hop Information in Massive MIMO Full Full-Duplex Duplex Wireless Systems
Abstract: We consider a single-cell cell massive multiple input multiple output full full-duplex wireless communication system, where the base-station base station (BS) is equipped with a large number of antennas. We consider the setup where the single-antenna single mobile users operate in half half-duplex, duplex, while each antenna at the BS is capable of full-duplex duplex transmissions, i.e., it can transmit and receive simultaneously using the same frequency spectrum. The fundamental challenge in this system is intraintra cell inter-node node interference, generated by the transmissions of uplink users to the receptions at the downlink users. The key operational challenge is estimating and aggregating inter-mobile mobile channel estimates, which can potentially overwhelm any gains from full-duplex duplex operation. In this paper, we p propose ropose a scalable and distributed scheme to optimally manage the inter inter-node node interference by utilizing a “one-hop hop information architecture�. In this architecture, the BS only needs to know the signal-to-interference interference-plus-noise noise ratio from the downlink users. Each uplink user needs its own SINR, along with a weighted signal signal-plus-noise metric from its one-hop hop neighboring downlink users, which are the downlink users, that it interferes with. The proposed one-hop one hop information architecture does not require any network ork devices to comprehensively gather the vast inter inter-node interference channel knowledge, and hence significantly reduces the overhead. Based on the one-hop hop information architecture, we design a distributed power