4 research outputs found
MmWave Beam Prediction with Situational Awareness: A Machine Learning Approach
Millimeter-wave communication is a challenge in the highly mobile vehicular
context. Traditional beam training is inadequate in satisfying low overheads
and latency. In this paper, we propose to combine machine learning tools and
situational awareness to learn the beam information (power, optimal beam index,
etc) from past observations. We consider forms of situational awareness that
are specific to the vehicular setting including the locations of the receiver
and the surrounding vehicles. We leverage regression models to predict the
received power with different beam power quantizations. The result shows that
situational awareness can largely improve the prediction accuracy and the model
can achieve throughput with little performance loss with almost zero overhead.Comment: Accepted to the 19th IEEE International Workshop on Signal Processing
Advances in Wireless Communications (Invited Paper
Limited by Capacity or Blockage? A Millimeter Wave Blockage Analysis
Millimeter wave (mmWave) communication systems can provide high data rates
but the system performance may degrade significantly due to mobile blockers and
the user's own body. A high frequency of interruptions and long duration of
blockage may degrade the quality of experience. For example, delays of more
than about 10ms cause nausea to VR viewers. Macro-diversity of base stations
(BSs) has been considered a promising solution where the user equipment (UE)
can handover to other available BSs, if the current serving BS gets blocked.
However, an analytical model for the frequency and duration of dynamic blockage
events in this setting is largely unknown.In this paper, we consider an open
park-like scenario and obtain closed-form expressions for the blockage
probability, expected frequency and duration of blockage events using
stochastic geometry. Our results indicate that the minimum density of BS that
is required to satisfy the Quality of Service (QoS) requirements of AR/VR and
other low latency applications is largely driven by blockage events rather than
capacity requirements. Placing the BS at a greater height reduces the
likelihood of blockage. We present a closed-form expression for the BS
density-height trade-off that can be used for network planning.Comment: accepted for publication in ITC 2018. arXiv admin note: substantial
text overlap with arXiv:1807.0438
Millimeter Wave Line-of-Sight Blockage Analysis
Millimeter wave (mmWave) communication systems can provide high data rates
but the system performance may degrade significantly due to mobile blockers and
the user's own body. A high frequency of interruptions and long duration of
blockage may degrade the quality of experience. For example, delays of more
than about 10ms cause nausea to VR viewers. Macro-diversity of base stations
(BSs) has been considered a promising solution where the user equipment (UE)
can handover to other available BSs, if the current serving BS gets blocked.
However, an analytical model for the frequency and duration of dynamic blockage
events in this setting is largely unknown. In this thesis, we consider an open
park-like scenario and obtain closed-form expressions for the blockage
probability, expected frequency and duration of blockage events using
stochastic geometry. Our results indicate that the minimum density of BS that
is required to satisfy the Quality of Service (QoS) requirements of AR/VR and
other low latency applications is largely driven by blockage events rather than
capacity requirements. Placing the BS at a greater height reduces the
likelihood of blockage. We present a closed-form expression for the BS
density-height trade-off that can be used for network planning.Comment: MS thesis submitted at NYU Tandon School of Engineering, May 201
The Impact of Mobile Blockers on Millimeter Wave Cellular Systems
Millimeter Wave (mmWave) communication systems can provide high data rates,
but the system performance may degrade significantly due to interruptions by
mobile blockers such as humans or vehicles. A high frequency of interruptions
and lengthy blockage durations will degrade the quality of the user's
experience. A promising solution is to employ the macrodiversity of Base
Stations (BSs), where the User Equipment (UE) can handover to other available
BSs if the current serving BS gets blocked. However, an analytical model to
evaluate the system performance of dynamic blockage events in this setting is
unknown. In this paper, we develop a Line of Sight (LOS) dynamic blockage model
and evaluate the probability, duration, and frequency of blockage events
considering all the links to the UE which are not blocked by buildings or the
user's own body. For a dense urban area, we also analyze the impact of non-LOS
(NLOS) links on blockage events. Our results indicate that the minimum density
of BS required to satisfy the Quality of Service (QoS) requirements of Ultra
Reliable Low Latency Communication (URLLC) applications will be driven mainly
by blockage and latency constraints, rather than coverage or capacity
requirements.Comment: This paper earlier published on arxiv with a different name as: "Can
Millimeter Wave Cellular Systems provide High Reliability and Low Latency? An
analysis of the impact of Mobile Blockers." The paper is published at IEEE
Journal in Selected Area of Communication (JSAC 2019). This current arxiv
version also corrects Figure 3 and Figure 11(b) of the published JSAC versio