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: osemiari@georgiasouthern.edu2Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, Email: walids@vt.edu

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