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Overview of Wireless Communications R&D in MIMOS


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Presented during MOU Signing Between NICT-MIMOS (2012)

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Overview of Wireless Communications R&D in MIMOS

  1. 1. Dr. Mazlan Abbas Wireless Communications MIMOS Berhad Overview of Wireless Communications R&D in MIMOS Contact: @mazlan_abbas h"ps://
  2. 2. Presentation Outline •  Introduction •  National Broadband Initiatives •  Vision of MIMOS Mi-WiWi •  Wireless Communications R&D Activities •  Scope of Collaboration - MIMOS-NICT Wireless Communications •  Conclusion
  3. 3. In 2005, Malaysia targets 75% Broadband Household Penetration by 2015
  4. 4. 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]
  5. 5. 12 NKEAs [Source: PEMANDU]
  6. 6. 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]
  7. 7. Time Socio-economicvalueofICTs Access gap Value gap •  Poor Value realization due to Insufficient 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&6economic6 impact6of6ICTs6 Intensity6of6ICT6 adopBon6 Diffusion6of6ICT6 infrastructure6
  8. 8. WiWi Vision Connecting the Unconnected Bridging the Digital Divide
  9. 9. Users6 Access6Point6 Relay6 HOT$SPOT$ (50M200m)6 HOT$ZONE$ (500mM1km)6 Relay6 DRMMesh6 METRO$NET$ (5M10km)6 Mesh6 Mesh6 Mesh6 Mesh6 Mesh6 Mesh6 PAN6Gateway6(0M50m)6 HOT$ZONE$ 20126MIMOS6Berhad.6All6Rights6Reserved.66 96 WiWi Deployment Scenarios
  10. 10. Municipal WiFi@Melaka MCMC Kampung WiFi@ N. Sembilan Wifi@GloriaJean’s Coffee River Thames Pekan6Kota6 Teriang6 Kampung6 Puom6 Kampung6 Kerangai6 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
  11. 11. Kampung Tanpa Wayar 2.0 – Ulu Jelebu (May 2012)
  12. 12. Providing6Quality6of6Service6with6high6quality,6 realMBme,6onMdemand6mulBmedia6content6 delivery6across6wireless6networks6 6 Building6Hotspots,6Hotzone6and6MetroNet6 scenarios6with6IOTMsupport,6intelligence6 (adapBve),6Be"er6Bandwidth6Management6and6 Extended6Coverage.6 Next$Gen$WiWi6 “When&WiWi&is&No&Longer&Just&An&Access&Point&(AP)”& 6
  13. 13. WiWi Hotspot To Build Customer Loyalty and Generate New Business Opportunities New6Landing6Page6 Local6contents6 Intelligent6Surveillance6Pla_orm6 Localised6videos6Smartphones6
  14. 14. Clients6 Group6 Sources6 Provide6QoS6to:6 M  Specific6Sources6 M  Specific6Clients6 M  Specific6Group6of6Clients6 S16 S26 C16 C26 C36 G16 G26 A New Revenue Stream
  15. 15. Premium66 AdverBser6 When6Hotspot6is6NOT6Congested6 M6Both6AdverBsers6have6excellent6quality6 S16 S26 Normal6 AdverBser6 Advertisers Pay for Consumers
  16. 16. When6Hotspot6is6Congested6 M6Both6AdverBsers6suffer6quality6degradaBon6 S16 S26 Premium66 AdverBser6 Normal6 AdverBser6 Advertisers Pay for Consumers
  17. 17. When6MIMOS6QMCAST6is6enabled6 M6Premium6AdverBser6have6be"er6quality6 S16 S26 Premium66 AdverBser6 Normal6 AdverBser6 Advertisers Pay for Consumers
  18. 18. 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 the6 nodes6 and6 the6 correspondent6 node6 while6 maintaining6 the666 support6of6mobility6 •  To6 define6 a6 communicaBon6 mechanism6 for6 gateways6 or6 edge6routers6 •  To6 enable6 InterMPAN6 Mobility6 considering6 features6 such6 as6 low6complexity,6low6message6overhead,6low6memory6usage,6 low6latency6and6reliability6 •  Large6overhead6 6for6IPv6MIPv66tunneling6 6and6IPSec,6and6also6666 large66code6size6of6MIPv66for6LoWPAN6networks6 •  Need6of6staBc6nodes6in6network6for6mobile6node6detecBon6 MIPv66 LoWMob6 Research$Mo9va9on$ Problems$with$exis9ng$solu9ons$ Objec9ves$
  19. 19. Mobile Opportunistic Network ! ! To6 develop6 an6 IoT6 architecture6 that6 is6 resilient6 to6 disrupBon6 of6 the6 physical6 network6and6should6also6anBcipate6that6 many6 nodes6 will6 be6 mobile6 and6 may6 have6intermi"ent.6 6Applica9ons$of$Delay$Tolerant$Network$(DTN):$ TransportaBon,6agriculture,6public6safety,6emergency6response,6shopping6malls6etc6 Objec9ve$ There6 are6 Bmes6 when6 network6 connecBvity6 (Internet)6 is6 unavailable,6 but,6in6certain6situaBons,6users6sBll6want6 the6 message6 to6 be6 carried6 through6 when6opportunity6arise.6 6 Research$Mo9va9on$
  20. 20. Wireless Multi-Hop Network Coverage Optimization Objec9ves$ •  To6design6future6WiWi6network6architecture6for6 performance6edge6in6both6homogeneous6and6 heterogeneous6environments6 •  To6opBmize6performance6of6WiWi6in6single6hop,6 mulBhop6and6mesh6mode6 •  To6provide6compeBBve6insights6on6technological6 edge6and6deployment6strategies6i.e.66how6to6best6 design6WiWi6for6various6naBonal6broadband6 iniBaBves6 Topology$Design$ (a) 1 WiWi (b) 2 WiWis (c) 3 WiWis (d) 4 WiWis (e) 5 WiWis ! R GW 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 Percentage)of)Houses)Conencted Tx)Power)(dBm) Optimised4Channel Worst4Case No4Interference ! Connected$Household$vs.$TxPower$ PNHop$Distance$vs.$Coverage$vs.$Datarate$
  21. 21. 216 Internet$ Live Broadcast Server Reducing Server Workload and Long Distance Traffic with Dynamic Traffic Redirection •  Reduce6the6cost6of6internaBonal6link6 •  Localized6the6content6 Research$Mo9va9on$ •  To6develop6an6efficient6content6and6service6 delivery6 pla_orm6 that6 could6 serve6 an6 increased6 number6 of6 client6 requests,6 with6 minimum6traffic6incurred6to6both6server6and6 longMdistance6network6 Objec9ve$
  22. 22. Cognitive WiWi with Dynamic Spectrum Allocation • 6Spectrum6occupancy6studies6in6Malaysia6have6 shown6that6the6radio6spectrum6is6inefficiently6 used6today.6 • OperaBng6in6ISM6band,6WiFi6AP/users6have6to6 share6the6spectrum6and6are6subject6to6 interference6from6mulBple6sources.6 Research$ Mo9va9on$ • During6radio6operaBon,6the6cogniBve6radio6is6 sensing6its6environment,6adhering6to6policy6 and6configuraBon6constraints,6to6best6uBlize6 the6available6radio6spectrum6and6meet6user6 demands6 Dynamic$ Spectrum$ Alloca9on$ • Algorithm6to6sense6and6detect6Exis9ng$AP$ while6allowing6Cogni9ve$WiWi6to66 opportunisBcally6use6the6unuBlized6spectrum6 • Cogni9ve$WiWi$will6find6and6move6to6a6new6 channel6to6avoid6interference6with6Exis9ng$AP6 Cogni9ve$ WiWi$6 Frequency6 Amplitude6 ExisBng6AP616 CogniBve6WiWi626 AP626 WiWi626WiWi616AP616 ExisBng6AP626 CogniBve6WiWi616 AP616 WiWi616 WiWi626 AP626 Scenario$
  23. 23. 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$DFS$
  24. 24. Cognitive WiWi with Dynamic Spectrum Allocation Background$ • 6Increasing6growth6of6access6and6backhaul6 traffic6in6terms6of6data6rates6has6led6to6search6 for6new6dynamic6spectrum6allocaBon.6 • CogniBve6WiWi6will6improve6spectrum6 occupancy6by6opportunisBcally6idenBfying6and6 exploiBng6available6spectrum6resources6 without6causing66interference.6 Technical$Challenges$ • 6To6devise6new6algorithm6to6sense6detect6 spectral6hole6(white6space)6and6to6 demonstrate6new6method6to6allow6dynamic6 frequency6selecBon6and6spectrum6allocaBon.66