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Ultra-Reliable and Low Latency Communication in mmWave-Enabled Massive MIMO Networks
Ultra-reliability and low-latency are two key components in 5G networks. In
this letter, we investigate the problem of ultra-reliable and low-latency
communication (URLLC) in millimeter wave (mmWave)-enabled massive
multiple-input multiple-output (MIMO) networks. The problem is cast as a
network utility maximization subject to probabilistic latency and reliability
constraints. To solve this problem, we resort to the Lyapunov technique whereby
a utility-delay control approach is proposed, which adapts to channel
variations and queue dynamics. Numerical results demonstrate that our proposed
approach ensures reliable communication with a guaranteed probability of
99.99%, and reduces latency by 28.41% and 77.11% as compared to baselines with
and without probabilistic latency constraints, respectively.Comment: Accepted May 12, 2017 by IEEE Communications Letters. Topic is
Ultra-Reliable and Low Latency Communication in 5G mmWave Network
Delay Performance of MISO Wireless Communications
Ultra-reliable, low latency communications (URLLC) are currently attracting
significant attention due to the emergence of mission-critical applications and
device-centric communication. URLLC will entail a fundamental paradigm shift
from throughput-oriented system design towards holistic designs for guaranteed
and reliable end-to-end latency. A deep understanding of the delay performance
of wireless networks is essential for efficient URLLC systems. In this paper,
we investigate the network layer performance of multiple-input, single-output
(MISO) systems under statistical delay constraints. We provide closed-form
expressions for MISO diversity-oriented service process and derive
probabilistic delay bounds using tools from stochastic network calculus. In
particular, we analyze transmit beamforming with perfect and imperfect channel
knowledge and compare it with orthogonal space-time codes and antenna
selection. The effect of transmit power, number of antennas, and finite
blocklength channel coding on the delay distribution is also investigated. Our
higher layer performance results reveal key insights of MISO channels and
provide useful guidelines for the design of ultra-reliable communication
systems that can guarantee the stringent URLLC latency requirements.Comment: This work has been submitted to the IEEE for possible publication.
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