Cognitive Wireless Communications -A Solution for Efficient Multiple Networks Coexistence

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Cognitive Wireless -A Solution for Efficient Multiple Networks Coexistence Wenhui Xiong, Jun Wang & Wanbin Tang University of Electronic Science and Technology of China March 28, 2010 National Key Laboratory of Science and Technology on 1

Outlines Multiple Networks Coexistence: Opportunities and Challenges Cognitive Wireless Components Key Technologies Dynamic Spectrum Sharing Network (DySNet): A developing prototype for Cognitive Wireless Communication system 2

Multiple Networks Coexistence: Opportunities and Challenges Mobile Telephone Mobile Internet Mobile Multimedia 1990s, 1G/2G Voice and SMS only Mobile? 2000s, 2G/3G Voice, SMS, MMS, email, Web, 2010s, 3G/4G Voice, SMS, MMS, email, Web, TV, VoD 2020s wireless in everything Ubiquitous service.. More and more wireless services arise in recent years. 3

Multiple Networks Coexistence: Opportunities and Challenges logistics disaster heath agriculture security military others Ubiquitous Services Core Network Satellite WLAN WLAN AP WLAN AP Senor 2G 3G IMT-A Wireless Access Networks: Multiple Networks Coexistence Problems: Multiple networks coexistence incurs resource scarcity. Opportunities: resource can be shared among networks to improve efficiency. 4

Multiple Networks Coexistence: Opportunities and Challenges 5

Multiple Networks Coexistence: Opportunities and Challenges (Cont.) Opportunities Analysis GSM: 955MHz-960MHz (24hours) IS-95: 869MHz-881MHz (24hours) There exist great opportunities to share resource among networks. To utilize the potential opportunities, it is necessary to meet the requirements of primary networks. 5-Apr-11 6

Multiple Networks Coexistence: Opportunities and Challenges (Cont.) Cognitive Wireless is an efficient solution for multiple networks coexistence scenarios. Problem Solution Multiple network conexistence Inter-network enviroment Unstable transmission Cognitive Wireless Single Network Intra-network enviroment Multi-user interference Multiple access and multiple user detection Link level Radio propagation environment Channel fading Modulation, Coding and Multiple antennas 5-Apr-11 National National Key Key Laboratory Laboratory of of Science Science and and Technology Technology on on 7

Multiple Networks Coexistence: Opportunities and Challenges (Cont.) There exists paradox of transmission opportunities and transmission interruption for resource sharing under multiple networks coexistence scenarios. Transmission Opportunities:A new network can provide wireless services by dynamically sharing resource with the existing networks to improve the utilization efficiency of resource. Transmission Opportunities Transmission Interruption Transmission Interruption: A network can be interrupted by the existing networks due to their reclaiming resource. 5-Apr-11 National National Key Key Laboratory Laboratory of of Science Science and and Technology Technology on on 8

Outlines Multiple Networks Coexistence: Opportunities and Challenges Cognitive Wireless Components Key Technologies Dynamic Spectrum Sharing Network (DySNet): A developing prototype 5-Apr-11 9

Cognitive Wireless The Cognitive Wireless Communication System intelligently find and utilize existing available resources to provide services. Fundamental Characteristics Environment Sensing and Prediction Environment Adaptation System Reconfiguration Environment Information Sensing and Prediction Environment Adaptation System Reconfiguration 10

Cognitive Wireless : Components System Components Opportunities Finding: find the available resource independently or cooperatively Opportunities Utilization: efficiently use the resource to provide wireless service Opportunities Finding Opportunities Utilization Sensing Based Method Cross-layer based method 11

Opportunities Finding: Sensing Based Method Low SNR Low received SNR at the cognitive receiver due to channel shadow and fading; IEEE 802.22 requires to achieve 90% detection at 10% false alarm rate when the SNR is as low as - 20dB. Speed Sense the environment as quickly as possible to; Monitor the primary network s activity and vacate the spectrum as fast as possible when the primary network reactivates IEEE 802.22 requires the sensing period less than 200ms. 12

Sensing: Stochastic Resonance Based Sensing Basic principle The output SNR can be enhanced when proper noise is added into the nonlinear system; In the field of signal detection, the SR effect has been studied to improve the signal detectability System model SR noise n xt () xk ( ) A/D yk ( ) Nonlinear system/ nonlinear detector detection SR detector 13

Pd pd the number of samples p.d.f p.d.f Stochastic Resonance Based Sensing: Local Sensing Results 1.2 x 10-3 8 x 10-4 1 H0 H1 7 6 H0 H1 0.8 5 0.6 4 0.4 3 2 0.2 1 0 1000 1500 2000 2500 3000 3500 4000 energy 0 3000 4000 5000 6000 7000 8000 9000 energy 1 1 18000 0.9 0.8 0.9 0.8 16000 14000 no SR SR 0.7 0.6 0.5 0.4 no SR SR 0.7 0.6 0.5 no SR SR 12000 10000 8000 0.3 0.4 6000 0.2 0.3 4000 0.1 0.2 2000 0 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Pf 0.1-20 -18-16 -14-12 -10-8 -6-4 -2 0 SNR 0-15 -10-5 SNR (db) Sensing performance can be significantly improved! 14

Opportunities Utilization: A Cross layer based method Challenges of Opportunities utilization It possible to sense several channels; Transmission rate and collision determines the throughput; The time-varying nature of the radio and network environment poses a complicated task for adaptive access and transmission techniques The solution to above problems asks for cross-layer design between physical layer and upper layer. 15

Outlines Multiple Networks Coexistence: Opportunities and Challenges Cognitive Wireless Components Key Technologies Dynamic Spectrum Sharing Network (DySNet): A developing prototype 16

DysNet: a developing prototype TV Program Control Center TV Tx Controller 3 available channels CH3 CH2 CH1 Internet TV Receiver 3G FTP/Video Sever TV Tower 3 types of service 3G Video FTP VoIP UE3 3 AP1 1 Resource Sever AP2 2 UE1 UE2 UE4 UE5 UE6 3G 3G 3G 3G 3G 17

DysNet: a developing prototype 18

DysNet: Spectrum Sensing Turn off the TV transmission, and demo the single/cooperative sensing CH3 CH2 CH1 Operation: Turn off the TV transmission on CH1,CH2 & CH3 CH1 CH2 CH3 UE 1 TV tower AP 1 CH1 CH2 CH3 CH1 CH2 CH3 AP 2 JRRM CH1 CH2 CH3 CH1 CH2 CH3 CH1 CH2 CH3 CH1 CH2 CH3 CH1 CH2 CH3 UE2 UE3 UE4 UE5 UE6 19

DysNet: Dynamic Access Dynamically Provides services to CRUs as the TV transmission are turned off Step 1: 1 unused TV channel; Step 2: increase the no. of unused channel to be 2; Step3: turn off TV transmission on all 3 channels As the no. of CRUs increases, the peak data rate increases AP 1 JRRM TV tower UE1 UE2 UE3 1.CH1 unused CH1 CH1 CH3 CH2 2.CH1,CH2 unused CH1 CH2 Video Video FTP 3. CH1, CH2,CH3 unused CH1 CH2 CH3 20

DysNet: Resource Management Provide Prioritized service to CRUs Turn off low priority users transmission to provide service for high priority users Resume service for low priority users when interference disappears AP 1 Priority: UE2>UE3>UE1 Channel: CH1,CH2,CH3 JRRM TV tower UE1 UE2 UE3 CH1 CH3 Video CH3 CH1 Video CH2 FTP Strong Interference at CH3 Interference disappear CH3 CH3 21

Summary New services demand more & more spectrum resources; Spectrum is a scare resource; Technical Challenges to make the cognitive wireless network work: Spectrum sensing fast and reliably sense the radio environment; Spectrum utilization efficiently use the available resource 22

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