Low-Feedback Multiple-Access and Scheduling via Location and Geometry Information Congzheng Han, Matthew Webb, Angela Doufexi, Mark Beach {Bernice.Han,

Slides:



Advertisements
Similar presentations
All Rights Reserved © Alcatel-Lucent 2006, ##### Design Issues for Wireless Networks Across Diverse and Fragmented Spectrum Collaborators: Bell Labs India:
Advertisements

February 20, Spatio-Temporal Bandwidth Reuse: A Centralized Scheduling Mechanism for Wireless Mesh Networks Mahbub Alam Prof. Choong Seon Hong.
6: Opportunistic Communication and Multiuser Diversity
International Technology Alliance In Network & Information Sciences International Technology Alliance In Network & Information Sciences 1 Interference.
Feedback Reliability Calculation for an Iterative Block Decision Feedback Equalizer (IB-DFE) Gillian Huang, Andrew Nix and Simon Armour Centre for Communications.
Aim : Develop a flexible new scheduling methodology which improves fairness by adding knowledge of users future data rates into the proportional fair scheduling.
Centre for Communications Research Scheduling Techniques for Improving Call Capacity for VoIP Traffic in MIMO-OFDMA Networks M. Nicolaou, S. Armour, A.
Lookback Scheduling for Long-Term Quality-of-Service Over Multiple Cells Hatem Abou-zeid*, Stefan Valentin, Hossam S. Hassanein*, and Mohamed F. Feteiha.
MIMO Broadcast Scheduling with Limited Feedback Student: ( ) Director: 2008/10/2 1 Communication Signal Processing Lab.
Slide 1Thursday, June 30, /05/03 EMERGING TECHNOLOGIES IN WIRELESS Jack H. Winters Chief Scientist, Motia
UWB Channels – Capacity and Signaling Department 1, Cluster 4 Meeting Vienna, 1 April 2005 Erdal Arıkan Bilkent University.
VSMC MIMO: A Spectral Efficient Scheme for Cooperative Relay in Cognitive Radio Networks 1.
A Centralized Scheduling Algorithm based on Multi-path Routing in WiMax Mesh Network Yang Cao, Zhimin Liu and Yi Yang International Conference on Wireless.
Doc.: IEEE /1090/r2 Submission September 2013 Submission Zhanji Wu, et. Al. Non-linear pre-coding MIMO scheme for next generation WLAN Date:
2005/12/06OPLAB, Dept. of IM, NTU1 Optimizing the ARQ Performance in Downlink Packet Data Systems With Scheduling Haitao Zheng, Member, IEEE Harish Viswanathan,
22 nd September 2008 | Tariciso F. Maciel Suboptimal Resource Allocation for Multi-User MIMO-OFDMA Systems Tarcisio F. Maciel Darmstadt, 22 nd September.
Strider : Automatic Rate Adaptation & Collision Handling Aditya Gudipati & Sachin Katti Stanford University 1.
ISWCS’06, Valencia, Spain 1 Blind Adaptive Channel Shortening by Unconstrained Optimization for Simplified UWB Receiver Design Authors: Syed Imtiaz Husain.
Michael Einhaus, ComNets, RWTH Aachen University Dynamic Resource Allocation in OFDMA Systems Michael Einhaus Chair of Communication Networks RWTH Aachen.
Kuang-Hao Liu et al Presented by Xin Che 11/18/09.
Doc.: IEEE /568r0 Submission Frequency Selective Scheduling (FSS) for TGax OFDMA May 2015 Slide 1 Date: Authors: Kome Oteri (InterDigital)
The Capacity of Wireless Ad Hoc Networks
10 th MCM - Novi Sad, March 2006 Joaquim Bastos ( ) 1 The information in this document is provided as is and no guarantee or warranty.
APPLICATION OF SPACE-TIME CODING TECHNIQUES IN THIRD GENERATION SYSTEMS - A. G. BURR ADAPTIVE SPACE-TIME SIGNAL PROCESSING AND CODING – A. G. BURR.
6/28/2015CSC82601 Radio-resource sharing for adhoc Networking with UWB. by Francesca Cuomo, Cristina Martello, Andrea Baiocchi, and Fabrizio Capriotti.
Submission doc.: IEEE /1452r0 November 2014 Leif Wilhelmsson, EricssonSlide 1 Frequency selective scheduling in OFDMA Date: Authors:
How to Turn on The Coding in MANETs Chris Ng, Minkyu Kim, Muriel Medard, Wonsik Kim, Una-May O’Reilly, Varun Aggarwal, Chang Wook Ahn, Michelle Effros.
1 Lecture 9: Diversity Chapter 7 – Equalization, Diversity, and Coding.
Doc.: IEEE /1391r0 Submission Nov Yakun Sun, et. Al.Slide 1 About SINR conversion for PHY Abstraction Date: Authors:
Submission doc.: IEEE 11-12/0844r0 Slide 1 Non-linear Multiuser MIMO for next generation WLAN Date: Authors: Shoichi Kitazawa, ATR.
Supervisor: Prof. Jyri Hämäläinen Instructor: M.Sc Zhong Zheng A part of NETS2020 project Ying Yang
Multiple Criteria Optimisation for Base Station Antenna Arrays in Mobile Communication Systems By Ioannis Chasiotis PhD Student Institute for Communications.
International Technology Alliance In Network & Information Sciences International Technology Alliance In Network & Information Sciences 1 Cooperative Wireless.
Coded Transmit Macrodiversity: Block Space-Time Codes over Distributed Antennas Yipeng Tang and Matthew Valenti Lane Dept. of Comp. Sci. & Elect. Engg.
Orthogonal Frequency Division Multiple Access (OFDMA)
Doc.: IEEE /0493r1 Submission May 2010 Changsoon Choi, IHP microelectronicsSlide 1 Beamforming training for IEEE ad Date: Authors:
Performance evaluation of adaptive sub-carrier allocation scheme for OFDMA Thesis presentation16th Jan 2007 Author:Li Xiao Supervisor: Professor Riku Jäntti.
مخابرات سیّار (626-40) چند مسیری
Fair Class-Based Downlink Scheduling with Revenue Considerations in Next Generation Broadband wireless Access Systems Bader Al-Manthari, Member, IEEE,
Doc.: IEEE /0935r0 Submission July 2012 Vinko Erceg, Broadcom 6-10GHz UWB Link Budget and Discussion Date: Authors: Slide 1.
Project: IEEE P Working Group for Wireless Personal Area Networks(WPANs) Submission Title: Link Budget for m Date Submitted: 5 March 2012.
Collaborative Communications in Wireless Networks Without Perfect Synchronization Xiaohua(Edward) Li Assistant Professor Department of Electrical and Computer.
Doc.: IEEE /0553r1 Submission May 2009 Alexander Maltsev, Intel Corp.Slide 1 Path Loss Model Development for TGad Channel Models Date:
QoS-guaranteed Transmission Scheme Selection for OFDMA Multi-hop Cellular Networks Jemin Lee, Sungsoo Park, Hano Wang, and Daesik Hong, ICC 2007.
Ghost Femtocells: a Novel Radio Resource Management Scheme for OFDMA Based Networks WCNC 2011.
Content caching and scheduling in wireless networks with elastic and inelastic traffic Group-VI 09CS CS CS30020 Performance Modelling in Computer.
Doc.: IEEE hew Submission March 2014 Submission Zhanji Wu, et. Al. Joint Coding and Modulation Diversity with RBD pre-coding MU-MIMO Date:
2011 ULTRA Program: Green Radio Prof. Jinho Choi College of Engineering Swansea University, UK.
Single Correlator Based UWB Receiver Implementation through Channel Shortening Equalizer By Syed Imtiaz Husain and Jinho Choi School of Electrical Engineering.
1 Low Latency Multimedia Broadcast in Multi-Rate Wireless Meshes Chun Tung Chou, Archan Misra Proc. 1st IEEE Workshop on Wireless Mesh Networks (WIMESH),
Doc.: IEEE /0818r1 Submission Further Analysis of Feedback and Frequency Selective Scheduling (FSS) for TGax OFDMA July 2015 Slide 1 Date:
ComNets, RWTH Aachen University Relays in CDMA2000 Martha Clavijo Chair of Communication Networks RWTH Aachen University, Germany FFV 2007, ,
Wireless Packet Scheduling With Soft Deadlines Aditya Dua and Nicholas Bambos Department of Electrical Engineering Stanford University ICC 2007.
Discovering Sensor Networks: Applications in Structural Health Monitoring Summary Lecture Wireless Communications.
Michael Einhaus, ComNets, RWTH Aachen University Distributed and Adjacent Subchannels in Cellular OFDMA Systems Michael Einhaus Chair of Communication.
Numericals.
6. Opportunistic Communication and Multiuser Diversity
Jinseok Choi, Brian L. Evans and *Alan Gatherer
Yinsheng Liu, Beijing Jiaotong University, China
DESIGN OF A SPECIFIC CDMA SYSTEM FOR AIR TRAFFIC CONTROL APPLICATIONS
Howard Huang, Sivarama Venkatesan, and Harish Viswanathan
Scheduling in Wireless Communication Systems
Towards IEEE HDR in the Enterprise
Submission Title: Link Budget for m
May 2003 doc.: IEEE /141r3 May 2003 Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs) Submission Title: [Rake Span.
AP Coordination in EHT Date: Authors: Name Affiliations
Submission Title: [channel dependent initial backoff of CSMA]
PHY Abstractions Types For HEW System Level Simulations
AP Coordination in EHT Date: Authors: Name Affiliations
Joint Coding and Modulation Diversity with RBD pre-coding MU-MIMO
Presentation transcript:

Low-Feedback Multiple-Access and Scheduling via Location and Geometry Information Congzheng Han, Matthew Webb, Angela Doufexi, Mark Beach {Bernice.Han, M.W.Webb, A.Doufexi, Presenter: Simon Armour University of Bristol EE

Outline Introduction to ViewNet Purpose and technologies Applications Use of location information to develop Low-complexity beamforming and schedulers Feedback free proportional fair algorithm Conclusions

ViewNet ViewNet - rapid mapping and visualisation of previously unseen environments. Visual SLAM provides 3D local coordinates of a moving camera and instantaneously maps the surrounding environment based on observations within the video stream. Fusion of vision (VSLAM), relative (inertial sensors) and absolute localisation from UWB and GPS. Supported by mobile communication infrastructure, operating over multiple wireless technologies (Tetra, WiFi)

Scenarios Road-traffic accident Siege intel Gaming Fire & rescue Pre VIP visit

Wireless Enhancements ViewNet Application provides real time 3D location and environment information. Exploitation of location information for improved wireless capability. Single-user and multi-user beamforming Low-feedback, low-complexity multi-user schedulers for beamforming systems Location-based proportional fair algorithm

Location-Assisted Beamforming Beamforming allow different users to share the same spectral resources and achieve improved system capacity. An ordinary beamforming system requires additional bandwidth due to feedback overhead and processing time to obtain coordinates information. In ViewNet, coordinate information provides an opportunity for scheduler to point energy towards user(s) of interest with no or limited feedback requirement.

Location-based Multiuser Scheduler (LBS) Traditional scheduler: find users with lowest multi- user interference in all possible combinations. computationally intensive A novel location based scheduler LBS find the group of users who are spatially far away from each other reduce mutual interference and improved overall rate. No feedback, low complexity target user User 2 User 3 User 4 An example of the Location-based Multi-user Scheduler (LBS)

SINR-based Multiuser Scheduler with Location Information (SBS) Additional SINR information if available. An alternative reduced-complexity and sub- optimal rate greedy scheduler (SBS) The targeted terminal is initially chosen in a round-robin fashion. Add a terminal that maximises the overall rate to the chosen sub-set until no remaining terminals can further improve overall rate.

System and Channel Description Transmission techniqueOFDMA Transmission Bandwidth100 MHz Carrier frequency5 GHz FFT size1024 No. of occupied sub-carriers768 Guard interval176 Sub-carrier spacing KHz No. of sub-channels48 Averagae number of users25 Transmit power level17 dBm Noise figure-94 dBm ESTI BRAN model C – large open space NLOS and its corresponding path loss model for n. Scenario 1: All terminals experience equal received SNR of 0dB Scenario 2: Terminals at random locations in the range of m away from the BS. Terminals have different SNRs.

Multi-user Schedulers Increased array size improves both system rate and fairness by supporting more users. The simple feedback free location-based multi-user scheduler (LBS) achieves a significant percentage of the reference (SBS) rate.

Location-based PFA The selection of targeted user for LBS and SBS Greedy: favours strong users (closer to BS). Round-robin: degraded system rate. Modified proportional fair algorithm (PFA) for OFDMA system Traditional PFA requires rate/SINR feedback Proposed PFA only use location information, no feedback required.

Location-based PFA : current Tx-Rx distance between BS and terminal k Average Tx-Rx distance between BS and terminal k in a past window of length : C is the total number of sub-channels per OFDMA symbol, c is sub-channel index. Impose fairness constraints on user selection. Assumes terminals closer to the BS generally have better channel conditions Target user is selected based on:

Location-based PFA The algorithm schedules a terminal when its Tx-Rx distance is low relative to its own average Tx-Rx distance over the specified window length. As window length increases, the algorithm approaches to a greedy scheduler – select the closest terminal as the target user.

Location-based PFA By scaling the window length without introducing further feedback requirement, PFA allows significant fairness improvements in exchange for minor rate loss.

Conclusions ViewNet supports rapid 3D mapping of environment at low cost Wireless enhancements through utilisation of the location information No / reduced feedback multiuser schedulers for beamforming systems. New PFA based on location information showing significant fairness improvements in exchange for minor rate loss.

Conclusions The proposed location-based schedulers are applicable to any centralised system 3GPP LTE, WiFi, WiMAX, potential future generation communication systems, V2V and V2I communications. Another paper titled Wireless Schedulers with Future Sight via Real-Time 3D Environment Mapping in VTC prediction of future rate values and proposal of a family of novel scheduling methodologies taking advantage of environmental information provided by ViewNet

This work was co-funded by the UK Technology Strategy Board. We thank all the partners to the ViewNet project for their help and discussions.