Low-Latency Millimeter-Wave Communications: Traffic Dispersion or Network Densification?
Guang Yang, Ming Xiao, and H. Vincent Poor

TL;DR
This paper compares traffic dispersion and network densification strategies for reducing delay in mmWave communications, analyzing their effectiveness through probabilistic delay bounds and effective capacity, and proposes a hybrid approach for optimal performance.
Contribution
It introduces a comprehensive analysis of delay reduction strategies in mmWave networks using stochastic network calculus, including a hybrid scheme, with validated bounds and insights for optimal scheme selection.
Findings
Traffic dispersion outperforms densification at high system gain and arrival rates.
Increasing relay density and independent paths always benefits delay performance.
Optimal transmission scheme depends on traffic load and system service conditions.
Abstract
This paper investigates two strategies to reduce the communication delay in future wireless networks: traffic dispersion and network densification. A hybrid scheme that combines these two strategies is also considered. The probabilistic delay and effective capacity are used to evaluate performance. For probabilistic delay, the violation probability of delay, i.e., the probability that the delay exceeds a given tolerance level, is characterized in terms of upper bounds, which are derived by applying stochastic network calculus theory. In addition, to characterize the maximum affordable arrival traffic for mmWave systems, the effective capacity, i.e., the service capability with a given quality-of-service (QoS) requirement, is studied. The derived bounds on the probabilistic delay and effective capacity are validated through simulations. These numerical results show that, for a given…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Microwave Engineering and Waveguides
