http://www.ece.ubc.ca/~haijunzhang/ [email protected]Network Slicing Based 5G: Mobility, Resource Management, and Challenges Haijun Zhang April 29, 2017 University of Science and Technology Beijing Email:[email protected]Web: http://www.ece.ubc.ca/~haijunzhang/
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Network Slicing Based 5G: Mobility, Resource Management, and Challenges · Network Slicing Based 5G: Mobility, Resource Management, and Challenges ... VIM Network Slicing Management
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Mobile Internet and the Internet of Things (IoT) are two main drivers for future network slicing based 5G networks.• Exponential traffic and Massive data requirements• Ultra dense heterogeneous networks• Cloudization and virtualization• "Mobile" out, wireless "connectivity" in• New business model• Energy challenge• Nobody can "make" more spectrum…
A concept for future mobile and wireless communications system that supports the connected information society.• An end-to-end ecosystem• Network as a service• Fully mobile and connected society • Consistent user experience• Sustainable business models
Network slicing based 5G systems will still face mobility management challenges caused by the potentially ultra high density of 5G networks combined with highmobility and high density of end devices.
Measurement ControlArea Restriction Information Provided
Packet Data Packet Data
UL Allocation
Measurement Reports Measurement Reports
HO Decision
HO Request
Admission Control
HO Request ACK
HO Request ACK
Handover CommandHandover Command
Detach from Source
cell & Synchronize to
Target cell
Deliver buffered & transit
packets to target cell
Data forwarding
Data forwarding
Buffer packets
from source cell
Synchronization
DL Allocation
UL Allocation + TA for UE
SN state transfer
Handover Confirm Handover Confirm
Packet Data Packet Data Packet Data
Path Switch Request User Plane Update
Request
Switch DL pathEnd Marker
Packet Data Packet Data
End Marker
End MarkerEnd Marker
User Plane Update
ResponsePath Switch Response
Ack
UE Context Release
Release
Resources
Handover
Preparation
Handover
Execution
Handover
Completion
L3 Signaling L1/L2 SignalingUser Data
➢ Mobile devices register their locations when they first connect to the network, and then report their location information to the network periodically.
➢ The HSS will be distributed into the edge cloud, making them closer to end devices to shorten registration delays and reduce backhaul burdens.
➢ 5G networks will aggregate multiple heterogeneous RATs.
➢ Multi-RAT coordination is needed for different RATs to share location information of their mobile devices for achieving unified multi-RAT access and seamless mobility in 5G networks.
The uplink resource allocation problem is developed as the maximization of uplink capacity on each subchannel for small cells considering the following constraints:
Problem Formulation
, , , ,
, , , ,, f 1 1 1
maxF
f u n f u n
F U NF
f u n f u na p u n
a C
, , , , max1
, , max
, , , ,1
, , , , , ,1 1
, ,1
, ,
s.t. 1 : , ,
2 : 0 , , ,
3 : , ,
4 : ,
5 : 1, ,
6 : {0,1}, , ,
NF
f u n f u nn
F
f u nN
F
f u n f u n u eMBBnF U
F FM th
f u n f u n f u n nf uU
f u nu
f u n
C a p p f u
C p p f u n
C a C R k u D
C a p g I n
C a f n
C a f u n
Objective function:
Constraint conditions:
a non-convex discrete objective function
➢ a convex continuous function
(by relaxing the binary subchannel allocation indictors)