1,137 research outputs found
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
Feasibility Study of Enabling V2X Communications by LTE-Uu Radio Interface
Compared with the legacy wireless networks, the next generation of wireless
network targets at different services with divergent QoS requirements, ranging
from bandwidth consuming video service to moderate and low date rate machine
type services, and supporting as well as strict latency requirements. One
emerging new service is to exploit wireless network to improve the efficiency
of vehicular traffic and public safety. However, the stringent packet
end-to-end (E2E) latency and ultra-low transmission failure rates pose
challenging requirements on the legacy networks. In other words, the next
generation wireless network needs to support ultra-reliable low latency
communications (URLLC) involving new key performance indicators (KPIs) rather
than the conventional metric, such as cell throughput in the legacy systems. In
this paper, a feasibility study on applying today's LTE network infrastructure
and LTE-Uu air interface to provide the URLLC type of services is performed,
where the communication takes place between two traffic participants (e.g.,
vehicle-to-vehicle and vehicle-to-pedestrian). To carry out this study, an
evaluation methodology of the cellular vehicle-to-anything (V2X) communication
is proposed, where packet E2E latency and successful transmission rate are
considered as the key performance indicators (KPIs). Then, we describe the
simulation assumptions for the evaluation. Based on them, simulation results
are depicted that demonstrate the performance of the LTE network in fulfilling
new URLLC requirements. Moreover, sensitivity analysis is also conducted
regarding how to further improve system performance, in order to enable new
emerging URLLC services.Comment: Accepted by IEEE/CIC ICCC 201
On Throughput Maximization of Grant-Free Access with Reliability-Latency Constraints
Enabling autonomous driving and industrial automation with wireless networks
poses many challenges, which are typically abstracted through reliability and
latency requirements. One of the main contributors to latency in cellular
networks is the reservation-based access, which involves lengthy and
resource-inefficient signaling exchanges. An alternative is to use grant-free
access, in which there is no resource reservation. A handful of recent works
investigated how to fulfill reliability and latency requirements with different
flavors of grant-free solutions. However, the resource efficiency, i.e., the
throughput, has been only the secondary focus. In this work, we formulate the
throughput of grant-free access under reliability-latency constraints, when the
actual number of arrived users or only the arrival distribution are known. We
investigate how these different levels of knowledge about the arrival process
influence throughput performance of framed slotted ALOHA with -multipacket
reception, for the Poisson and Beta arrivals. We show that the throughput under
reliability-latency requirements can be significantly improved for the higher
expected load of the access network, if the actual number of arrived users is
known. This insight motivates the use of techniques for the estimation of the
number of arrived users, as this knowledge is not readily available in
grant-free access. We also asses the impact of estimation error, showing that
for high reliability-latency requirements the gains in throughput are still
considerable.Comment: Accepted for publication in ICC'201
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