Self-organisation in future mobile cellular networks Remco Litjens - PowerPoint PPT Presentation

FP7 ICT-SOCRATES Self-organisation in future mobile cellular networks Remco Litjens TNO ICT, Delft, The Netherlands

OUTLINE  Introduction  Drivers  Vision  Expected gains  Use cases – Automatic neighbour cell list generation – Admission/congestion control – Cell outage management – Self-optimisation of Home eNodeBs  Challenges  Approaches  Who is who?  Concluding remarks WWW.FP7-SOCRATES.EU 2/ ∞

OUTLINE  Introduction  Drivers  Vision  Expected gains  Use cases – Automatic neighbour cell list generation – Admission/congestion control – Cell outage management – Self-optimisation of Home eNodeBs  Challenges  Approaches  Who is who?  Concluding remarks WWW.FP7-SOCRATES.EU 3/ ∞

INTRODUCTION Wikipedia
 Self‐organisa2on
is
a
process
of
a4rac2on
and
repulsion
in
which
the
 internal
organiza2on
of
a
system,
normally
an
open
system,
increases
in
 complexity
without
being
guided
or
managed
by
an
outside
source.
 Another
a4empt 
 (in
the
specific
context
of
telecommunica2on
networks)
 Self‐organisa2on
is
the
automated
(without
human
interven2on)
 adapta2on
or
configura2on
of
network
parameters
(in
a
broad
sense),
in
 response
to
observed
changes
in
the
network,
traffic,
environment
 condi2ons
and/or
experienced
performance.
 Some
examples
may
help
…
 WWW.FP7-SOCRATES.EU 4/ ∞

SELF-ORGANISATION IN EXISTING NETWORKS  Example 1: ‘Transmission Control Protocol’ – Operates end-to-end on the transport layer – Automatically adapts source transfer rate to end-to-end congestion level – Limits amount of data in transit – Slow start phase is followed by congestion avoidance phase • AIMR  Additive Increase, Multiplicative Decrease TCP
 TCP
 IP
 IP
 IP
 IP
 MAC/RLC
 MAC/RLC
 MAC/RLC
 MAC/RLC
 PHY
 PHY
 PHY
 PHY
 SOURCE
 DESTINATION
 NODE
 NODE
 WWW.FP7-SOCRATES.EU 5/ ∞

SELF-ORGANISATION IN EXISTING NETWORKS  Example 1: ‘Transmission Control Protocol’ – Operates end-to-end on the transport layer – Automatically adapts source transfer rate to end-to-end congestion level – Limits amount of data in transit – Slow start phase is followed by congestion avoidance phase • AIMR  Additive Increase, Multiplicative Decrease NO
PACKET
TIMEOUT:
 PACKET
TIMEOUT:
 CONGESTION
WINDOW
/
2
 CONGESTION
WINDOW
+
1
 WWW.FP7-SOCRATES.EU 6/ ∞

SELF-ORGANISATION IN EXISTING NETWORKS  Example 2: ‘Routing in ad hoc networks’ – Automatic detection of connectivity – Automatic establishment of routes – Automatic rerouting upon node failure DESTINATION
 NODE
 SOURCE
 NODE
 WWW.FP7-SOCRATES.EU 7/ ∞

SELF-ORGANISATION IN EXISTING NETWORKS  Example 2: ‘Routing in ad hoc networks’ – Automatic detection of connectivity – Automatic establishment of routes – Automatic rerouting upon node failure DESTINATION
 NODE
 SOURCE
 NODE
 WWW.FP7-SOCRATES.EU 8/ ∞

SELF-ORGANISATION IN EXISTING NETWORKS  Example 3: ‘Uplink transmit power control in UMTS networks’ – Default case • Fixed transmit power  Near-far effect! Battery drainage! – 1 st Self-optimisation loop • Adjust transmit power to meet SINR target • Responds to multipath fading variations – 2 nd Self-optimisation loop • Adjust SINR target to meet BLER target BLER
 • Adapts to user velocity SINR
 – 3 rd Self-optimisation loop • Adjust BLER target to meet end-to-end packet loss target? • Adjust power control steps? • Adjust power control heartbeat? UE 
 NodeB 
 RNC 
 WWW.FP7-SOCRATES.EU inner
loop
 outer
loop
 power
control
 power
control
 9/ ∞

SELF-ORGANISATION IN EXISTING NETWORKS  Example 3: ‘Uplink transmit power control in UMTS networks’ outer
loop
power
control
 responds
to
a
velocity
increase
 transmit
power
 path
gain
 inner
loop
power
control
 follows
mul2path
fading
 WWW.FP7-SOCRATES.EU 10/ ∞

INTRODUCTION  Context of this presentation – Mobile cellular communications networks 2011? LTE – LTE access technology • Long Term Evolution (E-UTRAN) 2006 + HSPA • Currently under standardisation • Focus on radio access network 2003 UMTS 2001 + GPRS 1994 GSM 1989 NMT 900 1985 NMT 450 1980 OBLB WWW.FP7-SOCRATES.EU 11/ ∞

INTRODUCTION  Current networks are largely manually operated – Separation of network planning and optimisation – (Non-)automated planning tools used to select sites, radio parameters • ‘Over-abstraction’ of applied technology models – Manual configuration of sites – Radio (resource management) parameters updated weekly/monthly • Performance indicators with limited relevance • Time-intensive experiments with limited operational scope – Delayed, manual and poor handling of cell/site failures  Future wireless access networks will exhibit a significant degree of self-organisation – Self-configuration, self-optimisation, self-healing, …  Broad attention – 3GPP, NGMN, SOCRATES, … WWW.FP7-SOCRATES.EU 12/ ∞

OUTLINE  Introduction  Drivers  Vision  Expected gains  Use cases – Automatic neighbour cell list generation – Admission/congestion control – Cell outage management – Self-optimisation of Home eNodeBs  Challenges  Approaches  Who is who?  Concluding remarks WWW.FP7-SOCRATES.EU 13/ ∞

DRIVERS  Technogical perspective – Complexity of future/contemporary wireless access networks • Multitude of tuneable parameters with intricate dependencies • Multitude of radio resource management mechanisms on different time scales • Complexity is needed to maximise potential of wireless access networks – Higher operational frequencies • Multitude of cells to be managed – Growing suite of services with distinct char’tics, QoS req’ments – Heterogeneous access networks to be cooperatively managed – Common practice in network planning and optimisation → labour-intensive operations delivering suboptimal solutions!  Enabler – The multitude and technical capabilities of base stations and terminals to perform, store, process and act upon measurements increases sharply WWW.FP7-SOCRATES.EU 14/ ∞

DRIVERS  Market perspective – Increasing demand for services – Increasing diversity of services • Traffic characteristics, QoS requirements – Need to reduce time-to-market of innovative services • Reduce operational hurdles of service introduction – Pressure to remain competitive • Reduce costs (OPEX/CAPEX) • Enhance resource efficiency • Keep prices low WWW.FP7-SOCRATES.EU 15/ ∞

OUTLINE  Introduction  Drivers  Vision  Expected gains  Use cases – Automatic neighbour cell list generation – Admission/congestion control – Cell outage management – Self-optimisation of Home eNodeBs  Challenges  Approaches  Who is who?  Concluding remarks WWW.FP7-SOCRATES.EU 16/ ∞

VISION  Minimise human involvement in planning/optimisation  Significant automation of network operations  Key components – Self-configuration con2nuous
 loop
 – Self-healing – Self-optimisation triggered
by
 incidental
events
 WWW.FP7-SOCRATES.EU 17/ ∞

VISION  Self-configuration – Incidental, intentional events – ‘Plug and play’ installation of new base stations and features • Download of initial radio network parameters, neigh- bour list generation, trans- con2nuous
 port network discovery loop
 and configuration, …  Self-healing – Incidental, non-intentional events – Cell outage detection • Alarm bells • Triggers compensation – Cell outage compensation • Automatic minimisation of coverage/capacity loss triggered
by
 incidental
events
 WWW.FP7-SOCRATES.EU 18/ ∞

VISION  Self-optimisation – Measurements • Performance indicators • Network, traffic, mobility, propagation conditions • Gathering via UEs, eNodeBs, probes • Optimal periodicity, accuracy, con2nuous
 loop
 format depends on parameter/ mechanism that is optimised – Automatic tuning • Smart algorithms process measurements into para- meter adjustments – E.g. tilt, azimuth, power, RRM parameters, NCLs – In response to observed changes in conditions and/or performance – In order to provide service avai- lability/quality most efficiently triggered
by
 • Triggers/suggestions in case incidental
events
 capacity expansion is unavoidable WWW.FP7-SOCRATES.EU 19/ ∞

OUTLINE  Introduction  Drivers  Vision  Expected gains  Use cases – Automatic neighbour cell list generation – Admission/congestion control – Cell outage management – Self-optimisation of Home eNodeBs  Challenges  Approaches  Who is who?  Concluding remarks WWW.FP7-SOCRATES.EU 20/ ∞

EXPECTED GAINS  OPEX reductions … – Primary objective! – Less human involvement in • Network planning/optimisation • Performance monitoring, drive testing • Troubleshooting – About 25% of OPEX is related to network operations • x00 million € savings potential per network WWW.FP7-SOCRATES.EU 21/ ∞