50,706 research outputs found
Joint Data Association, NLOS Mitigation, and Clutter Suppression for Networked Device-Free Sensing in 6G Cellular Network
Recently, there is a growing interest in achieving integrated sensing and
communication (ISAC) in the sixth-generation (6G) cellular network. Inspired by
this trend and the success of cooperative communication in cloud radio access
network, this paper considers a networked device-free sensing architecture
based on base station (BS) cooperation to transform the cellular network into a
huge sensor that can provide ubiquitous and high-performance sensing services.
Under this framework, the BSs first transmit the downlink communication signals
to the mobile users and then estimate the range information of the targets
based on their echoes. Next, a central processor collects the range information
from all the BSs via the fronthaul links and localizes each target based on its
distances to various BSs. To enable the above strategy in the 6G network, we
will perform joint data association, non-line-of-sight (NLOS) mitigation, and
clutter suppression, such that the central processor is able to find out the
useful range estimations extracted from the line-of-sight (LOS) paths and match
them to the right targets for localization. Numerical results show that our
interested networked device-free sensing scheme for the 6G network can localize
the targets with high accuracy in the challenging multi-path propagation
environment.Comment: accepted by IEEE ICASSP 202
Massive MIMO for Internet of Things (IoT) Connectivity
Massive MIMO is considered to be one of the key technologies in the emerging
5G systems, but also a concept applicable to other wireless systems. Exploiting
the large number of degrees of freedom (DoFs) of massive MIMO essential for
achieving high spectral efficiency, high data rates and extreme spatial
multiplexing of densely distributed users. On the one hand, the benefits of
applying massive MIMO for broadband communication are well known and there has
been a large body of research on designing communication schemes to support
high rates. On the other hand, using massive MIMO for Internet-of-Things (IoT)
is still a developing topic, as IoT connectivity has requirements and
constraints that are significantly different from the broadband connections. In
this paper we investigate the applicability of massive MIMO to IoT
connectivity. Specifically, we treat the two generic types of IoT connections
envisioned in 5G: massive machine-type communication (mMTC) and ultra-reliable
low-latency communication (URLLC). This paper fills this important gap by
identifying the opportunities and challenges in exploiting massive MIMO for IoT
connectivity. We provide insights into the trade-offs that emerge when massive
MIMO is applied to mMTC or URLLC and present a number of suitable communication
schemes. The discussion continues to the questions of network slicing of the
wireless resources and the use of massive MIMO to simultaneously support IoT
connections with very heterogeneous requirements. The main conclusion is that
massive MIMO can bring benefits to the scenarios with IoT connectivity, but it
requires tight integration of the physical-layer techniques with the protocol
design.Comment: Submitted for publicatio
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