Telecommunication Networks Lab.DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 1 A Finite State.

Slides:



Advertisements
Similar presentations
Università degli Studi di Firenze 08 July 2004 COST th MCM - Budapest, Hungary 1 Cross-layer design for Multiple access techniques in wireless communications.
Advertisements

INTERNATIONAL SYMPOSIUM ON ELECTRONICS AND TELECOMMUNICATIONS ETC 2010 NINTH EDITION A PHYSICAL LAYER SIMULATOR FOR WIMAX Marius Oltean, Maria Kovaci,
Wimax (802.16) A Road to Mobile Life.
2005/12/06OPLAB, Dept. of IM, NTU1 Optimizing the ARQ Performance in Downlink Packet Data Systems With Scheduling Haitao Zheng, Member, IEEE Harish Viswanathan,
Aida BotonjićTieto1 LTE Aida Botonjić. Aida BotonjićTieto2 Why LTE? Applications: Interactive gaming DVD quality video Data download/upload Targets: High.
1 “Multiplexing Live Video Streams & Voice with Data over a High Capacity Packet Switched Wireless Network” Spyros Psychis, Polychronis Koutsakis and Michael.
Michael Einhaus, ComNets, RWTH Aachen University Dynamic Resource Allocation in OFDMA Systems Michael Einhaus Chair of Communication Networks RWTH Aachen.
Prepared by Ali Al-Ghamdi Eissa Al-Mazmoumi. OUTLINE Overview – WiMAX Benefits. – Frequency Bands. – WiMAX Network Topologies. Physical Layer – Modulation.
A serve flow management strategy for IEEE BWA system in TDD mode Hsin-Hsien Liu
M. Stemick, S. Olonbayar, H. Rohling Hamburg University of Technology Institute of Telecommunications PHY-Mode Selection and Multi User Diversity in OFDM.
1 Synchronization for OFDMA System Student: 劉耀鈞 Advisor: Prof. D. W. Lin Time: 2006/3/16.
PHY/MAC cross-layer Issues in mobile WiMAX Advisor: Dr. Kai-Wei Ke Speaker: Chao-Sung yah Date:04/16/2007.
1 在 IEEE 系統上提供 QoS 機 制之研究 Student:Hsin-Hsien Liu Advisor:Ho-Ting Wu Date:
Wimax – Wireless Broadband
1 Channel Estimation for IEEE a OFDM Downlink Transmission Student: 王依翎 Advisor: Dr. David W. Lin Advisor: Dr. David W. Lin 2006/02/23.
IEEE Std Technique Overview nmgmt.cs.nchu.edu.tw 系統暨網路管理實驗室 Systems & Network Management Lab Reporter :黃文帥 2007/09/18.
1 Power Control and Rate Adaptation in WCDMA By Olufunmilola Awoniyi.
Performance Evaluation of WiMax Systems Metehan Dikmen and Mehmet Şafak Hacettepe University Dept. of Electrical and Electronics Engineering Beytepe,
12006/11/28 Performance Analysis of Scheduling Algorithms for VoIP Services in IEEE e Systems Advisor: Dr. Kai-Wei Ke Speaker: Jaw-Woei Ma Date:11/28/2006.
CEFRIEL Deliverable R4.1.5 MAIS adaptive and reconfigurable modem Giovanni Paltenghi Roma – 24 Novembre 2005.
WMAN, part 1 S Wireless Personal, Local, Metropolitan, and Wide Area Networks1 Contents IEEE family of standards Protocol layering TDD frame.
Seyed Mohamad Alavi, Chi Zhou, Yu Cheng Department of Electrical and Computer Engineering Illinois Institute of Technology, Chicago, IL, USA ICC 2009.
IEEE e/Mobile WiMAX Moise Effo.
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.
Network diversity in broadband wireless system ONR workshop 2003 Hui Liu Department of Electrical Engineering University of Washington.
1 IEEE Wireless MAN "Air Interface for Fixed Broadband Wireless Access Systems"
1/29 July 10 th 2004 Department of Electronics and Telecommunications Laboratorio di Elaborazione Numerica dei Segnali e Telematica University of Florence.
IEEE WirelessMAN For Broadband Wireless Metropolitan Area Networks.
WiMAX Fixed Vs. Mobile Mustafa Saad Mustafa Networks Eng. Dept. College of Information Engineering Al-Nahrain University Mustafa Saad Mustafa Networks.
Performance Analysis of an innovative scheduling algorithm for OFDMA based IEEE a systems E. Baccarelli, M.Biagi, C.Pelizzoni, N.Cordeschi This work.
Performance evaluation of adaptive sub-carrier allocation scheme for OFDMA Thesis presentation16th Jan 2007 Author:Li Xiao Supervisor: Professor Riku Jäntti.
2008/5/81 Fixed WiMAX Field Trial Measurements and Analyses Ole Gr0ndalen, Pal Gr0nsund, Tor Breivik, Paal Engelstad Mobile and Wireless Communications.
Fen Hou and Pin-Han Ho Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario Wireless Communications and Mobile.
Adaptation Techniques in Wireless Packet Data Services Speaker: Chih-Wei Wang Advisor: Li-Chun Wang.
A 4G System Proposal Based on Adaptive OFDM Mikael Sternad.
Fair Class-Based Downlink Scheduling with Revenue Considerations in Next Generation Broadband wireless Access Systems Bader Al-Manthari, Member, IEEE,
Wireless Mobile Communication and Transmission Lab. Chapter 8 Application of Error Control Coding.
IEEE (Wire less MAN) Name: Ehsan Rohani
Coexistence in heterogeneous networks Discuss the interference issue
Multiple Frequency Reuse Schemes in the Two-hop IEEE j Wireless Relay Networks with Asymmetrical Topology Weiwei Wang a, Zihua Guo b, Jun Cai c,
Hard Handoff Scheme Exploiting Uplink and Downlink Signals in IEEE e Systems Sunghyun Cho, Jonghyung Kwun, Chihyun Park, Jung-Hoon Cheon, Ok-Seon.
Yuan-Cheng Lai and Yen-Hung Chen Department of Information Management National Taiwan University of Science and Technology AINA 2008 Accept rate: 2008.
Mobile Broadband Wireless Access (MBWA) IEEE Standard
Lin Tian ∗ ‡, Di Pang ∗,Yubo Yang ∗, Jinglin Shi ∗, Gengfa Fang †, Eryk Dutkiewicz † ∗ Institute of Computing Technology, Chinese Academy of Science, China.
1 A Cross-Layer Scheduling Algorithm With QoS Support in Wireless Networks Qingwen Liu, Student Member, IEEE, Xin Wang, Member, IEEE, and Georgios B. Giannakis,
On Exploiting Diversity and Spatial Reuse in Relay-enabled Wireless Networks Karthikeyan Sundaresan, and Sampath Rangarajan Broadband and Mobile Networking,
Scalable Video Multicast with Adaptive Modulation and Coding in Broadband Wireless Data Systems Peilong Li *, Honghai Zhang *, Baohua Zhao +, Sampath Rangarajan.
Ben-Gurion University of the Negev Department of Communication Systems Engineering.
HSPA/HSDPA (Beyond 3G) PRESENTED BY- NEHA ANAND NUPUR ANAND ROLL NO-50 ROLL NO-55.
History-based Adaptive Modulation for a Downlink Multicast Channel in OFDMA systems Haibo Wang, Hans Peter Schwefel and Thomas Skjodeberg Toftegaard Center.
Supervisors:Dr. Yehuda Ben-Shimol Mr. Itzik Kitroser Alon Tzulang &Tseela Matsry Present:
Name - Jyotirmayee Rautaray Branch - Computer Science Engg. Regd. No Name - Jyotirmayee Rautaray Branch - Computer Science Engg. Regd. No-
Analysis of Three Dimensional Scheduling Algorithms in Multi-Hop OFDMA Networks Ben-Gurion University of the Negev Department of Communication Systems.
TECHNICAL SEMINAR S V Suresh 08731A1254 By. 1 st GENERATION:  Introduced in 1980  Analog cellular mobile,Data speed 2.4kbps  1G mobiles- AMPS,NMT,TACS.
Michael Einhaus, ComNets, RWTH Aachen University Distributed and Adjacent Subchannels in Cellular OFDMA Systems Michael Einhaus Chair of Communication.
1 Wireless Networks Lecture 42 IEEE Dr. Ghalib A. Shah.
LONG TERM EVOLUTION DANISH HASRAT (091042) DEEPAK SINGH (091043) GAURAV THAWANI (091052) NILESH SINGH (091079)
Wireless Networks Spring 2007 WiMAX: Broadband Wireless Access.
IEEE Network Simulation
WiMAX 1EEE Protocol Stack
Video scheduling algorithm
Shamir Stein Ackerman Elad Lifshitz Timor Israeli
Long Term Evolution (LTE)
New Adaptive Resource Allocation Scheme in LTE-Advanced
WiMAX: IEEE Wireless MANs
WiMAX: Broadband Wireless Access
Comparison Between HSPA Family
Wireless Standards adaptation
Supervised By Dr. / Adel Yehia Ezzat
Presentation transcript:

Telecommunication Networks Lab.DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 1 A Finite State Modeling for Adaptive Modulation in Wireless OFDMA Systems Dania Marabissi, Daniele Tarchi, Federico Genovese, and Romano Fantacci University of Florence, Italy

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 2 Outline Standard IEEE –S-OFDMA (Scalable-OFDMA) Adaptive modulation Proposed adaptation techniques Numerical results Conclusions

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 3 WiMAX system, that is based on the IEEE specifications, offers broadband wireless accces in a wide are achieving about 50 Km in LoS connections and 10 Km in NLoS connections The standard aims to have until 70Mbit/s per cell Almost recently has been finalized the IEEE802.16e version that adds the user mobility functionalities by exploiting the OFDMA technique This allows to offers mutimedia services in mobility such as Internet, Voice over IP (VoIP) and video streaming Standard IEEE802.16

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 4 PHY characteristics It transmits in the 2 – 11GHz band –Recently has been almost defined four operational bands at 2.3, 2.5, 3.5, 5 GHz It allows to use QPSK, 16QAM and 64QAM, and variable coding rates Both TDD and FDD (half and full duplex) are allowed The channel width can varies from 1.75 MHz to 20 MHz and in TDD the frame time can vary from 2 ms to 20 ms The IEEE e has improved the OFDMA support

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 5 S-OFDMA The IEEE e standard has introduced a particolar OFDMA called S-OFDMA (Scalable-OFDMA) It mainly differs from the classical OFDMA because it can support several channel width by varying the FFT size during the subchannel mapping

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 6 Channel state adaptativity Adaptive Modulation It selects automatically the modulation order for: –minimize the error probability; –maximize the transmitting rate; The AM (Adaptive Modulation) module manage the adaptivity based one: –channel state information and received power –receiver quality in terms of error rate

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 7 TDD Channel information The proposed system is to be used in the TDD scheme It aims to estimate the channel behaviour in the uplink and use the estimation for selecting the best modulation order to be used in the downlink

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 8 Channel state adaptivity Three state Moore machine Three state Moore machine Adaptive management

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 9 QPSK 16QAM 64QAM Throughput: Thr(SNR, α, M) = log 2 (M)[1-SER(SNR, α, M)] Throughput: Thr(SNR, α, M) = log 2 (M)[1-SER(SNR, α, M)] For each fixed SNR we select two thresholds [α A, α B ] by solving : For each fixed SNR we select two thresholds [α A, α B ] by solving : Thr(SNR, α A, M=16) = Thr(SNR, α A, M= 4) Thr(SNR, α A, M=16) = Thr(SNR, α A, M= 4) Thr(SNR, α B, M=64) = Thr(SNR, α B, M=16) Thr(SNR, α B, M=64) = Thr(SNR, α B, M=16) Maximum Throughput Technique

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 10 For each fixed SNR at the BS two thresholds are selected [α A, α B ]: For each fixed SNR at the BS two thresholds are selected [α A, α B ]: SER(SNR, α A, M=16) = SER(SNR, M=4) SER(SNR, α A, M=16) = SER(SNR, M=4) SER(SNR, α B, M=64) = SER(SNR, M=4) SER(SNR, α B, M=64) = SER(SNR, M=4) where, supposing, we have: where, supposing, we have: SER(SNR, M=4) Minimum SER Technique

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 11 Example with SNR=15dB We can define a target SER value (TSER) based on the Quality of Service requested We can define a target SER value (TSER) based on the Quality of Service requested For each SNR we search two thresholds [α A, α B ]: For each SNR we search two thresholds [α A, α B ]: SER(SNR, α A, M=16) = TSER SER(SNR, α A, M=16) = TSER SER(SNR, α B, M=64) = TSER SER(SNR, α B, M=64) = TSER TSER = constant  SNR Target SER Technique

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 12 Decision thresholds

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 13 Channel model ITU-R M.1225 (vehicular A) with 6 Rayleigh distributed main paths and Jake Doppler Bandwidth equal to 10MHz N FFT = 1024 carriers Carrier at 3.5 GHz Maximum speed equal to 125Km/h Frame duration TDD: –T F = 8ms; –T DL =T UL =3,995ms; –(TTG=RTG=5μs) OFDMA symbols in each frame: –40 in DL + 39 in UL Distributed subcarriers allocations System Parameters

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 14 Minimum SER and Maximum Throughput For SNR=16 dB 16QAM is the most used modulation order For SNR=8 dB 16QAM is the most used modulation order Maximum throughput allows higher rate but higher SER For SNR=16 dB 64QAM is the most used modulation order 2dB

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 15 TSER is imposed based on the requested QoS level Target SER

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 16 Conclusions IEEE e standard has been designed to perform a broadband wireless access by allowing multimedia services to mobile devices; this can be done thanks to the high flexibility in several parts of the system (like modulation, coding, subcarrier allocation). We propose a state model for adapt the modulation order to the channel behavior; three different techniques has been presented, that differs from the threshold calculation The Maximum throughput method is foreseen for real-time applications where the throughput has more importance the error rate. The Minimum SER aims to achieve the best performance in terms of error probability for a certain SNR The Target SER aims to respect a target in terms of error probability in order to be considered to be used in specific applications. What we are working on: –Error rate as a performance indication; –Extension of the model for considering variable coding rate jointly with modulation; –Joint modulation/coding adaptation with subcarrier allocation, also by taking into account the upper layers queue size (opportunistic scheduling techniques).

Telecommunication Networks Lab. DET – Department of Electronics and Telecommunications 11/04/2007COST289 4th Workshop - Gothenburg, Sweden 17 αAαA αBαB Thr = n  (1 – SER), dove: –n=(numero di bit trasmessi)/(numero di simboli trasmessi) –SER=(numero di simboli errati)/(numero di simboli trasmessi) Prob. di stato per adattatività basata sul canale: