overview of wireless communications r&d in mimos
DESCRIPTION
Presented during MOU Signing Between NICT-MIMOS (2012)TRANSCRIPT
Dr. Mazlan Abbas Wireless Communications MIMOS Berhad
Overview of Wireless Communications R&D in MIMOS
Contact: [email protected]
@mazlan_abbas �
h"ps://www.facebook.com/drmazlanabbas6
Presentation Outline • Introduction • National Broadband Initiatives • Vision of MIMOS Mi-WiWi • Wireless Communications R&D Activities • Scope of Collaboration - MIMOS-NICT Wireless
Communications • Conclusion
In 2005, Malaysia targets 75% Broadband Household Penetration by 2015
NKEA will boost our Gross National Income (GNI) by 2020
USD 15,000 RM 48,000
Per capita
USD 6,700 RM 23,770 Per capita
A National Key Economic Activities (NKEA) is a driver of economic activity that has the
potential to directly and materially contribute a quantifiable amount of economic growth to the
Malaysian economy
[Source: PEMANDU http://www.pemandu.gov.my/]
12 NKEAs
[Source: PEMANDU http://www.pemandu.gov.my/]
MY Creative Content!Local content hub to
vitalise creative sector, reduce dependence on
international connectivity, and export content !
1MY Payment!Common standards,
platforms and security protocols to cashless payment to masses in
Malaysia"
Connecting 1MY!Next-generation
services to provide ubiquitous connectivity
and compelling services for the Rakyat at home,
in the workplace, "and ‘on-the-"
move’"
E-Learning!Integrated approach to
provide access, devices, and platforms/content/ applications to benefit
the learning "Rakyat"
E-Healthcare!Networked healthcare providers to each other and to their patients to
improve productivity and information
management"
E-Government!Increasing the
accessibility, speed, and transparency of
government services through communications
technology"
Broadband for All!Establishing broadband as an essential service to Malaysians on par
with other utilities, e.g. water and electricity"
Extend Reach!Acceleration and
expansion of broadband coverage in non-urban areas (e.g. to Zone 2
and" Zone 3)"
Smart Network!Differentiated pricing to provide higher quality and more affordable
service "
Regional Network!Capacity increase of
Malaysia’s submarine cable network to lower
international IP connectivity costs"
3a!
3b!
3c!
3d!
2a!
2b!
2c!
1a!
1b!
1c!
Enhancing Foundation!(Next Generation Infrastructure) !
Pushing Boundaries!(Industries Enablement)"
Serving Tomorrow!(Platform, Applications, Content) !
CCI - 10 EPPs covering 3 major categories
[Source: PEMANDU http://www.pemandu.gov.my/]
Time
Soc
io-e
cono
mic
val
ue o
f IC
Ts
Access gap
Value gap
• Poor Value realization due to Insu!cient value creating content
• Barrier to entry due to literacy level and language
• Complexity of Computers
• Connectivity • Devices
• High cost of Infrastructure deployment
16
26
36
Holistic View of Bridging the Digital Divide (BDD)
Social6&6economic6impact6of6ICTs6
Intensity6of6ICT6adopBon6
Diffusion6of6ICT6infrastructure6
WiWi Vision Connecting the Unconnected
Bridging the Digital Divide
Users6
Access6Point6
Relay6
HOT$SPOT$(50M200m)6
HOT$ZONE$(500mM1km)6
Relay6
DRMMesh6
METRO$NET$(5M10km)6
Mesh6
Mesh6
Mesh6 Mesh6
Mesh6Mesh6
PAN6Gateway6(0M50m)6
HOT$ZONE$
20126MIMOS6Berhad.6All6Rights6Reserved.66
96
WiWi Deployment Scenarios
Municipal WiFi@Melaka
MCMC Kampung WiFi@ N. Sembilan
Wifi@GloriaJean’s Coffee River Thames
Pekan6Kota6
Teriang6 Kampung6Puom6
Kampung6Kerangai6
20126MIMOS6Berhad.6All6Rights6Reserved.66
106
WiWi AP WiWi Relay
WiWi Enterprise WiWi Point to Point (PtP)
WiWi PtP/Bridge WiWi Hybrid (Wimax/HSDPA/LTE) WiWi Relay Enterprise WiWi MESH
WiWi Variants
Kampung Tanpa Wayar 2.0 – Ulu Jelebu (May 2012)
Providing6Quality6of6Service6with6high6quality,6realMBme,6onMdemand6mulBmedia6content6delivery6across6wireless6networks66Building6Hotspots,6Hotzone6and6MetroNet6scenarios6with6IOTMsupport,6intelligence6(adapBve),6Be"er6Bandwidth6Management6and6Extended6Coverage.6
Next$Gen$WiWi 6“When&WiWi&is&No&Longer&Just&An&Access&Point&(AP)”&
6
WiWi Hotspot To Build Customer Loyalty and Generate New Business Opportunities
New6Landing6Page6 Local6contents6
Intelligent6Surveillance6Pla_orm6 Localised6videos6Smartphones6
Clients6
Group6
Sources6
Provide6QoS6to:6M Specific6Sources6M Specific6Clients6M Specific6Group6of6Clients6
S16
S26
C16 C26
C36
G16
G26
A New Revenue Stream
Premium66AdverBser6
When6Hotspot6is6NOT6Congested6M6Both6AdverBsers6have6excellent6quality6
S16
S26
Normal6AdverBser6
Advertisers Pay for Consumers
When6Hotspot6is6Congested6M6Both6AdverBsers6suffer6quality6degradaBon6
S16
S26
Premium66AdverBser6
Normal6AdverBser6
Advertisers Pay for Consumers
When6MIMOS6QMCAST6is6enabled6M6Premium6AdverBser6have6be"er6quality6
S16
S26
Premium66AdverBser6
Normal6AdverBser6
Advertisers Pay for Consumers
Inter-PAN Mobility (Internet of Things)
• No6Suitable6energy6efficient6mobility6protocols6in66LoWPAN6• There6are6no6suitable6soluBons6available6to6provide6InterMPAN6
mobility6support6for6LoWPAN6devices6• CommunicaBons6disrupBon6when6node6moves6
• Inter6 PAN6 Mobility6 for6 low6 power6 personal6 area6 network6(LoWPAN)6
• Reducing6 the6 number6 of6 message6 exchanges6 between6 the6nodes6 and6 the6 correspondent6 node6 while6 maintaining6 the666support6of6mobility6
• To6 define6 a6 communicaBon6 mechanism6 for6 gateways6 or6edge6routers6
• To6 enable6 InterMPAN6Mobility6 considering6 features6 such6 as6low6complexity,6low6message6overhead,6low6memory6usage,6low6latency6and6reliability6
• Large6overhead6 6 for6 IPv6MIPv66 tunneling6 6and6 IPSec,6and6also6666large66code6size6of6MIPv66for6LoWPAN6networks6
• Need6of6staBc6nodes6in6network6for6mobile6node6detecBon6
MIPv66
LoWMob6
Research$Mo9va9on$
Problems$with$exis9ng$solu9ons$
Objec9ves$
Mobile Opportunistic Network
! !
To6 develop6 an6 IoT6 architecture6 that6 is6resilient6 to6 disrupBon6 of6 the6 physical6network6and6should6also6anBcipate6that6many6 nodes6 will6 be6 mobile6 and6 may6have6intermi"ent.66Applica9ons$of$Delay$Tolerant$Network$(DTN):$
TransportaBon,6agriculture,6public6safety,6emergency6response,6shopping6malls6etc6
Objec9ve$There6 are6 Bmes6 when6 network6connecBvity6 (Internet)6 is6 unavailable,6but,6in6certain6situaBons,6users6sBll6want6the6 message6 to6 be6 carried6 through6when6opportunity6arise.66
Research$Mo9va9on$
Wireless Multi-Hop Network Coverage Optimization
Objec9ves$• To6design6future6WiWi6network6architecture6for6performance6edge6in6both6homogeneous6and6heterogeneous6environments6
• To6opBmize6performance6of6WiWi6in6single6hop,6mulBhop6and6mesh6mode6
• To6provide6compeBBve6insights6on6technological6edge6and6deployment6strategies6i.e.66how6to6best6design6WiWi6for6various6naBonal6broadband6iniBaBves6
Topology$Design$
(a) 1 WiWi
(b) 2 WiWis
(c) 3 WiWis
(d) 4 WiWis
(e) 5 WiWis
!
RGW
GW
GW
GW
GW
GW
GW GW
GW
GW GW
GW GW
GW
backhaul link distance access coverage cell with multiple modulation and coding scheme
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0 10 20 30 40 50
Percen
tage)of)H
ouses)C
onen
cted
Tx)Power)(dBm)
Optimised4Channel
Worst4Case
No4Interference
!
Connected$Household$vs.$TxPower$ PNHop$Distance$vs.$Coverage$vs.$Datarate$
216
Internet$
Live Broadcast Server
Reducing Server Workload and Long Distance Traffic with Dynamic Traffic Redirection
• Reduce6the6cost6of6internaBonal6link6• Localized6the6content6
Research$Mo9va9on$
• To6develop6an6efficient6content6and6service6delivery6 pla_orm6 that6 could6 serve6 an6increased6 number6 of6 client6 requests,6 with6minimum6traffic6incurred6to6both6server6and6longMdistance6network6
Objec9ve$
Cognitive WiWi with Dynamic Spectrum Allocation • 6Spectrum6occupancy6studies6in6Malaysia6have6shown6that6the6radio6spectrum6is6inefficiently6used6today.6
• OperaBng6in6ISM6band,6WiFi6AP/users6have6to6share6the6spectrum6and6are6subject6to6interference6from6mulBple6sources.6
Research$Mo9va9on$
• During6radio6operaBon,6the6cogniBve6radio6is6sensing6its6environment,6adhering6to6policy6and6configuraBon6constraints,6to6best6uBlize6the6available6radio6spectrum6and6meet6user6demands6
Dynamic$Spectrum$Alloca9on$
• Algorithm6to6sense6and6detect6Exis9ng$AP$while6allowing6Cogni9ve$WiWi6to66opportunisBcally6use6the6unuBlized6spectrum6
• Cogni9ve$WiWi$will6find6and6move6to6a6new6channel6to6avoid6interference6with6Exis9ng$AP6
Cogni9ve$WiWi$6
Frequency6Am
plitu
de6
ExisBng6AP616
CogniBve6WiWi626
AP626WiWi626WiWi616AP616
ExisBng6AP626
CogniBve6WiWi616
AP616 WiWi616
WiWi626AP626
Scenario$
Experimental Results
• Conventional fixed frequency transmission at 2.4GHz frequency in the presence of other user (using the same frequency)
• Video transmission was interrupted due to co-channel interference.
• Dynamic frequency selection algorithm at 2.4GHz frequency in the presence of other user (using the same frequency)
• No interruption in video transmission as the cognitive WiWi is aware of the interference and select new frequency to transmit
Without$DFS$ With$DFS$
Cognitive WiWi with Dynamic Spectrum Allocation Background$
• 6Increasing6growth6of6access6and6backhaul6traffic6in6terms6of6data6rates6has6led6to6search6for6new6dynamic6spectrum6allocaBon.6• CogniBve6WiWi6will6improve6spectrum6occupancy6by6opportunisBcally6idenBfying6and6exploiBng6available6spectrum6resources6without6causing66interference.6
Technical$Challenges$
• 6To6devise6new6algorithm6to6sense6detect6spectral6hole6(white6space)6and6to6demonstrate6new6method6to6allow6dynamic6frequency6selecBon6and6spectrum6allocaBon.66