Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB Speaker: 王貞傑 Professor: 吳仁銘教授 date: 2007. 06. 01.

Slides:



Advertisements
Similar presentations
Multi-carrier CDMA. Outline Introduction System Model Types Applications References.
Advertisements

SoNIC: Classifying Interference in Sensor Networks Frederik Hermans et al. Uppsala University, Sweden IPSN 2013 Presenter: Jeffrey.
Introduction to Ultra WideBand Systems
ALL-IP 4G NETWORK ARCHITECTURE FOR EFFICIENT MOBILITY AND RESOURCE MANAGEMENT Authors: YOUNG-JUNE CHOI, UNIVERSITY OF MICHIGAN KWANG BOK LEE AND SAEWOONG.
Qi Wang July 3rd, Mobile Communication Seminar.
Mohammad Alkhodary Ali Assaihati EE 578 Simulation Communication Systems Case Study (101) Phase III KFUPM Ultra WidebandUltra WidebandTransmitter.
Mohammad Alkhodary Ali Assaihati Supervised by: Dr. Samir Alghadhban EE 578 Simulation Communication Systems Case Study (101) Final.
Channel Estimation for Mobile OFDM
Pricing and Power Control in a Multicell Wireless Data Network Po Yu Chen October, 2001 IEEE Journal on Select Areas in Communications.
Michael Einhaus, ComNets, RWTH Aachen University Dynamic Resource Allocation in OFDMA Systems Michael Einhaus Chair of Communication Networks RWTH Aachen.
Challenges To Cognitive OFDM Systems
Speaker: You-Min Lin Advisor: Dr. Kai-Wei Ke Date: 2011/04/25 Cognitive Radio Networks (CRN) 1.
1 EQ2430 Project Course in Signal Processing and Digital Communications - Spring 2011 On phase noise and it effect in OFDM communication system School.
: Crazy King ★★★☆☆ 題組: Contest Archive with Online Judge 題號: 11352: Crazy King 解題者:李重儀 解題日期: 2008 年 12 月 8 日 題意:簡單的說,給你一個 M × N 的西洋棋盤,上有兩點 A 、 B.
: Ubiquitous Religions ★★☆☆☆ 題組: Problem Set Archive with Online Judge 題號: 10583: Ubiquitous Religions 解題者:吳佳樺 解題日期: 2010 年 3 月 18 日 題意: 一開始給予兩個數字.
Stealth Cognitive Radio With MIMO Active Interference Cancellation and V-BLAST Date: Speaker: 王貞傑 指導教授 : 吳仁銘.
Performance Analysis of Energy Detector in Relay Based Cognitive Radio Networks Saman Atapattu Chintha Tellambura Hai Jiang.
Narrowband Interference Detection in MB-OFDM UWB Shih-Chang Chen Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan.
Doc.: IEEE 01-15/0035r1 Submission Scalable Channel Utilization Scheme January 2015 B. Zhao and K. Yunoki, KDDI R&D LabsSlide 1 Date: Authors:
Design of Expanded Constellations for PAPR Reduction in OFDM Systems Speaker: Dr. Ali Al-Shaikhi Assistant Professor, EE department.
EE360: Lecture 12 Outline Underlay and Interweave CRs Announcements HW 1 posted (typos corrected), due Feb. 24 at 5pm Progress reports due Feb. 29 at midnight.
MAXIMIZING SPECTRUM UTILIZATION OF COGNITIVE RADIO NETWORKS USING CHANNEL ALLOCATION AND POWER CONTROL Anh Tuan Hoang and Ying-Chang Liang Vehicular Technology.
A Comparative Analysis of Spectrum Alternatives for WiMAX Networks with Deployment Scenarios Based on the U.S. 700 MHz Band June 2008 By MWG/AWG.
1 Cognitive Ultra Wideband Radio Trial Lecture Greg Harald Håkonsen 29. June 2007.
Utility Based Scheduling in Cognitive Radio Networks Term Project CmpE-300 Analysis of Algorithms Spring 2009 Computer Engineering, Boğaziçi University,
RELIABLE MULTIMEDIA TRANSMISSION OVER COGNITIVE RADIO NETWORKS USING FOUNTAIN CODES Proceedings of the IEEE | Vol. 96, No. 1, January 2008 Harikeshwar.
UWB (Ultra Wideband) Communication System 長庚電機通訊組 碩一 張晉銓 指導教授 : 黃文傑博士.
1 11 Subcarrier Allocation and Bit Loading Algorithms for OFDMA-Based Wireless Networks Gautam Kulkarni, Sachin Adlakha, Mani Srivastava UCLA IEEE Transactions.
William Krenik and Anuj Batra Texas Instruments Incorporated TI Blvd., MS 8723 Dallas, Texas 75243, USA
AUTONOMOUS DISTRIBUTED POWER CONTROL FOR COGNITIVE RADIO NETWORKS Sooyeol Im; Jeon, H.; Hyuckjae Lee; IEEE Vehicular Technology Conference, VTC 2008-Fall.
A Survey of Spectrum Sensing Algorithm for Cognitive Radio Applications YaGun Wu netlab.
TITLE (tentative) A Quality-of-Service (QoS) based broadcast protocol in a multi- hop Cognitive Radio ad hoc network under blind information D.Veeraswamy.
1 Interference Aware Medium Access for Dynamic Spectrum Sharing Advisor Advisor : Wei-Yeh Chen Student Student :楊 于 世 Reference G. Auer, H. Haas and P.
Multiuser OFDM with Adaptive Subcarrier, Bit and Power Allocation (IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 17, NO. 10, OCTOBER 1999)
Multimedia Transmission Over Cognitive Radio Networks using Decode-and-Forward Multi-Relays and Rateless Coding Abdelaali Chaoub, Elhassane Ibn-Elhaj National.
1 Spectrum Trading: An Analysis of Implementation Issues Advisor Advisor : Wei-Yeh Chen Student Student :楊 于 世 Reference C.E. Carlos, M.B.H. Weiss, “Spectrum.
Orthogonal Frequency Division Multiplexing
Cognitive Radio: Next Generation Communication System
Modeling and Analysis of PSRR in Analog PWM Class D Amplifiers Tong Ge; Chang, J.S.; Wei Shu; Circuits and Systems, ISCAS Proceedings
Static Spectrum Allocation
Cognitive Radio
Cognitive Radios Motivation: scarce wireless spectrum
1 Orthogonal Frequency- Division Multiplexing (OFDM) Used in DSL, WLAN, DAB, WIMAX, 4G.
Spectrum Sensing In Cognitive Radio Networks
Resource Allocation Policy to Avoid Interference between Cellular and D2D Links/ and D2D Links in Mobile Networks 報告人:王姿穎 學號:MA4G0202.
An Orthogonal Resource Allocation Algorithm to Improve the Performance of OFDMA-based Cellular Wireless Systems using Relays Woonsik Lee, Minh-Viet Nguyen,
UWB (Ultra Wideband) Communication System 長庚電機通訊組 碩一 張晉銓 指導教授 : 黃文傑博士.
Doc.: IEEE r1 Submission Novemebr 2005 C. Razzell, H. Waite (Philips)Slide 1 Project: IEEE P Working Group for Wireless Personal Area.
1 Spectrum Co-existence of IEEE b and a Networks using the CSCC Etiquette Protocol Xiangpeng Jing and Dipankar Raychaudhuri, WINLAB Rutgers.
Ashish Rauniyar, Soo Young Shin IT Convergence Engineering
History-based Adaptive Modulation for a Downlink Multicast Channel in OFDMA systems Haibo Wang, Hans Peter Schwefel and Thomas Skjodeberg Toftegaard Center.
REP-REQ/RSP v.s. QoS scheduling Reference : IEEE Std IEEE Std 工研院電通所 WiMAX 技術研討會 OFDMA_PHY My Brain& 永芳老師&瑤亭 2007_1_2.
A discussion on channel sensing techniques By James Xu.
 First generation systems utilized frequency axis to separate users into different channels  Second generation systems added time axis to increase number.
A REVIEW: PERFORMANCE ANALYSIS OF MIMO-WiMAX AKANKSHA SHARMA, LAVISH KANSAL PRESENTED BY:- AKANKSHA SHARMA Lovely Professional University.
Younes Abdi, PhD Faculty of Information Technology
Adaptive TUF Packet Scheduling Scheme for OFDMA-based WiMAX Systems
244-6: Higher Generation Wireless Techniques and Networks
Hana Hani Omar Nabil Omar Hesham Youssef Essam Ahmed Ali Karim Ahmed
SPECTRUM SHARING IN COGNITIVE RADIO NETWORK
An Enhancement of WirelessHART Protocol
4G Wireless Systems A Seminar on Presented By: Sainik Kumar Mahata
Cognitive Radio Based 5G Wireless Networks
A low-power CMOS power amplifier for ultra wideband (UWB) applications
PERFORMANCE ANALYSIS OF SPECTRUM SENSING USING COGNITIVE RADIO
User Interference Effect on Routing of Cognitive Radio Ad-Hoc Networks
Mi Sun Lee, Yoon Hyun Kim, Jinyoung Kim
An Overview of ax Greg Kamer – Consulting Systems Engineer.
6-10GHz Rate-Range and Link Budget
Multicarrier Communication and Cognitive Radio
Presentation transcript:

Analysis of Active Interference Cancellation for Cognitive Radio MB-OFDM UWB Speaker: 王貞傑 Professor: 吳仁銘教授 date:

Outline Introduction to cognitive radio in ultra wideband AIC algorithm Simulation Conclusion

Introduction to cognitive radio

Spectrum utilization

Resource :spectrum UWB : GHz Wimax : GHz, GHz IEEE802.11a : GHz

Employ multi-band orthogonal frequency division multiplexing (MB-OFDM)

Cognitive Radio object 1) highly reliable communication 2) efficient utilization of the radio spectrum “Cognitive Radio” does what? 1) sense the spectral environment over a wide available band 2) use the spectrum only if communication does not interfere with licensed user. multiple signal dimensions : time, frequency, physical space, and user networks

“Cognitive Radio” Task 1) Radio-scene analysis 2) Channel-state estimation and predictive modeling 3) Transmit-power control and dynamic spectrum management => feedback

Interference avoidance method Non-rectangular windows Active interference canceling (AIC)

AIC algorithm

turning off the interfering tones: the inter-carrier interference may limit the notch depth to 5-10 dB AIC (active interference cancellation tones)

Over-sampling Why over-sampling MB-OFDM based interference Over-sampling rate = r

Minimization

MIMO AIC

Minimization

 唯一解 : 利用錯開頻帶,來消除所要干擾主要頻帶 的訊號,頻帶間不重複利用,否則 det =0  頻帶間有重複 (overlap) ,則造成有無限多組解

Simulation

Picture parameter Axis explanation & Input Parameter re-sampling rate Vs AIC number Turn-off Vs AIC with different re-sampling rate Comparison in different re-sampling rate Different protected sub-carriers MIMO AIC

Axis explanation: X-axis : sub-carrier index ( over-sampling ) Y-axis: power spectrum Input : QPSK ( a + j*b ) Random Number of fft =128

Parameter: over-sampling rate ( r ) protect-band sub-carriers AIC number

Picture parameter Axis explanation & Input Parameter re-sampling rate Vs AIC number Turn-off Vs AIC with different re-sampling rate Comparison in different re-sampling rate Different protected sub-carriers MIMO AIC

Protected spectrum 3 sub-carriers R=2 Turn-off

Protected spectrum 3 sub-carriers R=2 AIC

 With using 5 tones of AIC, It reaches the best performance.  more than 5 tones, e.g. 7 tones, performance goes back.

Protected spectrum 3 sub-carriers R=3 Turn-off

Protected spectrum 3 sub-carriers R=3 AIC

 With using 7 tones of AIC, It reaches the best performance.  more than 7 tones, e.g. 9 tones, performance goes back.

Protected spectrum 3 sub-carriers R=4 AIC

 With using 9 tones of AIC, It reaches the best performance.  more than 9 tones, e.g. 11 tones, performance goes back.

Protected spectrum 3 sub-carriers AIC R=5 best in 9 tones Protected spectrum 3 sub-carriers AIC R=6 best in 9 tones

Protected spectrum 3 sub-carriers AIC R=7 best in 9 tones Protected spectrum 3 sub-carriers AIC R=8 best in 11 tones

Protected spectrum 3 sub-carriers AIC R=100 best in 11 tones Protected spectrum 3 sub-carriers AIC R=50 best in 11 tones

#AIC r12348

Picture parameter Axis explanation & Input Parameter re-sampling rate Vs AIC number Turn-off Vs AIC with different re-sampling rate Comparison in different re-sampling rate Different protected sub-carriers MIMO AIC

Comparison in different re-sampling rate(1/4) R=2 R=3

Comparison in different re-sampling rate(2/4) R= 4 R=5

Comparison in different re-sampling rate(3/4) R=6 R=7

Comparison in different re-sampling rate(4/4) R=8

Picture parameter Axis explanation & Input Parameter re-sampling rate Vs AIC number Turn-off Vs AIC with different re-sampling rate Comparison in different re-sampling rate Different protected sub-carriers MIMO AIC

Protected spectrum 3 sub-carriers AIC R=4 Protected spectrum 5 sub-carriers AIC R=4

Protected spectrum 7 sub-carriers AIC R=4 Protected spectrum 9 sub-carriers AIC R=4

Protected spectrum 11 sub-carriers AIC R=4 Protected spectrum 13 sub-carriers AIC R=4

Picture parameter Axis explanation & Input Parameter re-sampling rate Vs AIC number Turn-off Vs AIC with different re-sampling rate Comparison in different re-sampling rate Different protected sub-carriers MIMO AIC

2Tx AIC Protected spectrum 4 sub-carriers R=4 AIC 6 sub-carriers Channel? No

2Tx AIC

Conclusion AIC 壓縮能力大約 100 ~ 130 dB AIC sub-carrier 不是越多越好,適用即可。越遠 的 sub-carrier 影響越小。

Reference Hirohisa Yamaguchi, “ Active Interference Cancellation Technique for MB-OFDM Cognitive Radio” 2004 Danijela Cabric, Shridhar Mubaraq Mishra, Robert W. Brodersen, “ Implementation Issues in Spectrum Sensing for Cognitive Radios” J. Mitola III, “Cognitive radio for flexible mobile multimedia communications,” in 1999 IEEE International Workshop on Mobile Multimedia Communications, Nov. 1999, pp J. Mitola III, “Cognitive radio an integrated agent architecture for software defined radio,” PHD thesis, KTH Royal Institute of Technology, Stockholm, Sweden, Federal Communications Commission, “ Spectrum Policy Task Force,”Rep. ET Docket no , Nov

Simon Haykin, “Cognitive Radio: Brain-Empowered Wireless Communications” IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 23, NO. 2, FEBRUARY 2005