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Computer Network
Laboratory
Computer Network
Laboratory
Nelson Fonseca
nfonseca@ic.unicamp.br
Team
4 Professors
4 Colaborating Professors
3 Pos-doc
23 Ph.D. students
13 MSc. students
Current Research Areas
Wireless Networks
Optical Networks
Cloud and Fog Computing
Network Virtualization
IoT
Intelligent Transportation
Systems
Network Management
Machine learning applied to
network problems
150+ PhDs and MSc.
800+ journals, conference papers and book chapters
20 awards in Thesis
Several Best Paper awards
Several projects funded by Brazilian agengies and industry
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."
B
Proposal
9
Admission &
Resource
Allocation
Instantiation
Rejection notification
Acceptance notification,
Mapped NSLR
Tenants
Substrate
Termination
Monitoring
Network Slice
Lifecycle
Network Slice Requests
(NSLRs)
1 2
3
Decision making (accept/reject NLSR)4
4
Proposal
10
Slice Admission & Resource Allocation
Resource
Allocation
RL-based
Admission Control
Granted
NSLRsAgent
Action
Network
Slice
Lifecycle
Reward Mapped
NSLRs
State
Environment
State:
NSLR and Substrate
NSLRs Substrate
Proposal
11
Resource
Allocation
RL-based
Admission Control
Granted
NSLRsAgent
Action
Network
Slice
Lifecycle
Reward
Mapped
NSLRs
State
NSLRs Substrate
Slice Admission & Resource Allocation
Environment
eMBB,
URLLC,
MIoT
VIM-EMU
Network Slicing in IEEE
802.11ah Networks
Objective
• Develop a Network Slicing technique for IEEE 802.11ah networks that
• Manages radio resources
• Reconfigures Restricted Access Window (RAW) parameters over time
• While considering the QoS restrictions of each service being offered in the
network
28/09/19 Network Slicing in IEEE 802.11ah 2
Network Slicing in IEEE 802.11ah
• Each RAWGROUP represents a slice
• One slice per service
• Video, temperature sensor, …
• A slice is described by its service
features and QoS restrictions
• Service features
• Avg packet size, transmission interval
• QoS restrictions
• Delay, jitter, packet loss
28/09/19 Network Slicing in IEEE 802.11ah 3
Access Point (AP)
Stations (RAW STAs)
Slice 0
Slice 1
Slice 2
These features are used to model how stations access the channel
Virtual Network Slicing Broker (VNSB)
• Characteristics
• Virtual Network Slicing Broker as Virtual
Network Function (VNF)
• Instantiated in a Software Defined
Network (SDN) controller
• Communicating with an IEEE 802.11ah
network Access Point via a southbound
API
28/09/19 Network Slicing in IEEE 802.11ah 4
Stations (RAW STAs)
Access Point (AP) VNSB
Internet
Virtual Network Slicing Broker (VNSB)
• Northbound API
• Service features
• QoS restrictions
• Actions
1. Define RAW groups in the
RPS
2. Check QoS restriction
violations
3. Adapt RAW configurations
over time
• Southbound API
• Statistics monitoring
• Configuration
enforcement
• Two approaches
• Static
• Dynamic
28/09/19 Network Slicing in IEEE 802.11ah 5
Control Layer
SDN Controller
RAW Parameter Set
Network Statistics
Slicing Templates
Logical Slices
Slice 1
Slices [...]
Slice N
Virtual Network Slicing Broker
Application Layer
Service Features QoS Restrictions
Infrastructure Layer
Access Points RAW STAs
IEEE 802.11ah Network
Northbound API
SouthBound API
Slicing
templates
Static Approach: Getting it all together
• Resource ratio depicts how waiting time and transmission interval relate to each
other
• Since the services are heterogeneous, why not exploring this to reallocate
resources over time for different services?
• The full picture is as follows:
• Services with different characteristics & constraints
• Static resource allocation procedure
28/09/19 Network Slicing in IEEE 802.11ah 6
Dynamic Approach
• The broker uses the
slicing templates
• To verify if QoS
restrictions were violated
• Reallocate resources
between slices
• Update RPS with new
RAW configurations
28/09/19 Network Slicing in IEEE 802.11ah 7
# RAW STAs
Average Packet Size
Transmission Interval
Slice Templates
Service
MCS
STATIC APPROACH
Slice Templates
Service
QoS Restrictions
REALLOCATION OF
RESOURCES
Logical Slices
Slice 1
Slice ...
Slice n
RAW Configurations
Simulation Setup
• Smart-City scenario
• Parking lot
• 2 cameras
• 5, 10, ..., 65 sensors
• Simulation duration
• 200 seconds
• Performance metrics
• Delay, jitter, packet loss, and
throughput
28/09/19 Network Slicing in IEEE 802.11ah 8
IEEE 802.11ah Extension
https://github.com/imec-idlab/IEEE-802.11ah-ns-3
Dynamic Approach Results:
Resource Reallocation
28/09/19 Network Slicing in IEEE 802.11ah 9
Conclusions
• Network Slicing in IEEE 802.11ah Networks
• Virtual Network Slicing Broker to manage network slices over time
• Managing the RAW configurations based on the features of the services being offered in the
network and network status
• Preliminary results showed the broker capacity to dynamically adjust slice
resources over time, improving network performance
28/09/19 Network Slicing in IEEE 802.11ah 10
Proposed Architecture

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