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Simulation Results
MmWave Communications: Opportunities
MmWave Communications: Challenges
Integrated Millimeter Wave and Sub-6 GHz Resource Management
for Low-Latency Communications in 5G Cellular Networks
Omid Semiari1 and Walid Saad2
1Department of Electrical Engineering, Georgia Southern University, Statesboro, GA, Email: [email protected] Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, Email: [email protected]
Integrated mmWave and sub-6 GHz Cellular Networks
Coverage
High latency
Low complexity
Capacity
Low latency
High complexity
Sub-6 GHzmmWave
UltraGig 6400 60-GHz transceiver TP-Link Tri-band access point
Large available bandwidth, Small size antenna array, Massive MIMO
Large Path Loss Directional Transmission
(PHY and MAC layers
reconsideration)
Blockage
20 dB attenuation
Integrated Radio Interface Protocols
Frame Structure and Problem Formulation
Minimum unsatisfied relations (min-UR) NP-hard
Number of
satisfied UAs at
sub-6 GHz RAT
Number of
satisfied
UAs at
mmW RAT
Proposed Dual-Mode Scheduler
Inference of Line-of-Sight Probability
Three-states Q-learning model is
proposed to extract LoS probability for
each user.
Two-sided stability of the proposed
scheduling framework is mathematically
proved.
We have shown that the proposed
scheme has polynomial time complexity
with respect to the number of UAs and
resources.
1.Tighter
integration
features
2.Fast switching
between RATs
3.Low latency
4.No backhaul
Quality-of-Experience:
Problem:
Dynamic
allocation of
mmWave time
slots and
microwave sub-
channels to
minimize service
outage, subject to
delay constraints.
Impact of beam-training overhead: Number of iterations:
Integrated mmWave-µW µW only mmWave only
Not reliable: 15%
outageLow QoSHigh QoS for delay-
sensitive services
[1] IEEE TWC, July 2017 [2] IEEE ICC, May 2016
