Control Channel Design for Many-Antenna MU-MIMO

Slides:



Advertisements
Similar presentations
6: Opportunistic Communication and Multiuser Diversity
Advertisements

Source: GSM Association, 2010 Mobile Networks. Source: GSM Association, Coverage and Capacity Mobile communications networks are designed for both.
CDMA vs GSM -two main competing network technologies -Global System for Mobile Communications -Code Division Multiple Access.
VSMC MIMO: A Spectral Efficient Scheme for Cooperative Relay in Cognitive Radio Networks 1.
R2 R3 R4 R5 AP The throughput does not grow in the same way as wireless demands Limited wireless spectrum & unlimited user demands AP R1 R6.
EETS 8316 : WIRELESS NETWORKS Vamsi Krishna Medharametla
UCBC UCSC Broadband Communications (UCBC) Research Group Hamid R. Sadjadpour April 2004 Space-Time Signal Processing for Wireless Ad-hoc Networks.
APPLICATION OF SPACE-TIME CODING TECHNIQUES IN THIRD GENERATION SYSTEMS - A. G. BURR ADAPTIVE SPACE-TIME SIGNAL PROCESSING AND CODING – A. G. BURR.
1 SMART ANTENNA TECHNIQUES AND THEIR APPLICATION TO WIRELESS AD HOC NETWORKS JACK H. WINTERS /11/13 碩一 謝旻欣.
6: Wireless and Mobile Networks6-1 Chapter 6: Wireless and Mobile Networks Background: r # wireless (mobile) phone subscribers now exceeds # wired phone.
6: Wireless and Mobile Networks Wireless LANs.
1 Chapter 5 Multiplexing : Sharing a Medium Data Communications and Computer Networks: A Business User’s Approach.
5-1 Data Link Layer r What is Data Link Layer? r Wireless Networks m Wi-Fi (Wireless LAN) r Comparison with Ethernet.
Networking with massive MU-MIMO Lin Zhong
Submission doc.: IEEE /0808 July 2015 Songnam Hong, EricssonSlide 1 Frequency-independent Digital Precoder for Hybrid MIMO Precoding Date:
February 26, 2004Slide 1 Little Wireless and Smart Antennas Little Wireless and Smart Antennas Jack H. Winters 2/26/04.
Argos Clayton W. Shepard Hang Yu, Narendra Anand, Li Erran Li, Thomas Marzetta, Richard Yang, Lin Zhong Practical Many-Antenna Base Stations.
1 Wireless and Mobile Networks EECS 489 Computer Networks Z. Morley Mao Monday March 12, 2007 Acknowledgement:
MIMO WIRELESS COMMUNICATION SYSTEMS Bhaskar D. Rao University of California, San Diego La Jolla, CA
Practical Performance of MU- MIMO Precoding in Many-Antenna Base Stations Clayton Shepard Narendra Anand Lin Zhong.
6: Wireless and Mobile Networks6-1 Elements of a wireless network network infrastructure wireless hosts r laptop, PDA, IP phone r run applications r may.
MULTIPLE INPUT MULTIPLE OUTPUT SYSTEMS (MIMO)
Multiple-Input and Multiple-Output, MIMO (mee-moh or my-moh)
1. 2  What is MIMO?  Basic Concepts of MIMO  Forms of MIMO  Concept of Cooperative MIMO  What is a Relay?  Why Relay channels?  Types of Relays.
Cooperative Diversity Scheme Based on MIMO-OFDM in Small Cell Network Dong-Hyun Ha Sejong University.
Capacity of Wireless Mesh Networks: Comparing Single- Radio, Dual-Radio, and Multi- Radio Networks By: Alan Applegate.
1 SMART ANTENNAS FOR WIRELESS COMMUNICATIONS JACK H. WINTERS AT&T Labs - Research Red Bank, NJ September 9, 1999.
12. Feb.2010 | Christian Müller Distributed Resource Allocation in OFDMA-Based Relay Networks Christian Müller.
1 PROPAGATION ASPECTS FOR SMART ANTENNAS IN WIRELESS SYSTEMS JACK H. WINTERS AT&T Labs - Research Red Bank, NJ July 17,
SMART ANTENNA under the guidance of Mr. G.V.Kiran Kumar EC
Doc.: IEEE /0493r1 Submission May 2010 Changsoon Choi, IHP microelectronicsSlide 1 Beamforming training for IEEE ad Date: Authors:
Control Channel Design for Many-Antenna MU-MIMO
6: Wireless and Mobile Networks6-1 Chapter 6 Wireless and Mobile Networks Computer Networking: A Top Down Approach Featuring the Internet, 3 rd edition.
Wireless Access avoid collisions: 2 + nodes transmitting at same time CSMA - sense before transmitting –don’t collide with ongoing transmission by other.
8: MIMO II: Capacity and Multiplexing Architectures Fundamentals of Wireless Communication, Tse&Viswanath 1 8. MIMO II: Capacity and Multiplexing Architectures.
Ch 11. Multiple Antenna Techniques for WMNs Myungchul Kim
Discussion on MU-MIMO based on Hybrid Beamforming System in ay
Collaborative Communications in Wireless Networks Without Perfect Synchronization Xiaohua(Edward) Li Assistant Professor Department of Electrical and Computer.
Cooperative Wireless Networks Hamid Jafarkhani Director Center for Pervasive Communications and Computing
1 SMART ANTENNAS FOR TDMA Jack H. Winters AT&T Labs - Research Red Bank, NJ September 7, 2000.
Basics Modulation Multiple Access
Vidya Bharathi Institute of Technology
Doc.: IEEE hew Submission March 2014 Submission Zhanji Wu, et. Al. Joint Coding and Modulation Diversity with RBD pre-coding MU-MIMO Date:
Presented by Abhijit Mondal Haritabh Singh Suman Mondal
A Simple Transmit Diversity Technique for Wireless Communications -M
Traditional Approach to Wireless System Design Compensates for deep fades via diversity techniques over time and frequency 1.
Cooperative Communication
Analyze Assure Accelerate TM MIMO (multiple-input multiple-output) with Spirent’s SR5500 Wireless Channel Emulator Rev 1.00.
Scheduling Considerations for Multi-User MIMO
Data and Computer Communications Tenth Edition by William Stallings Data and Computer Communications, Tenth Edition by William Stallings, (c) Pearson Education.
INTRODUCTION:- The approaching 4G (fourth generation) mobile communication systems are projected to solve still-remaining problems of 3G (third generation)
Wi-Fi - IEEE Standards and the future of Wi-Fi Mingnan Yuan Department of Electrical and Computer Engineering Auburn University March 9, 2016.
[1] TECHNICAL SEMINAR PRESENTATION SMART ANTENNA Edited by: Priyabrata Nayak, Lecturer, Dept. of CSE SMART ANTENNA.
MIMO WIRELESS COMMUNICATION SYSTEMS
244-6: Higher Generation Wireless Techniques and Networks
Wireless LANs Wireless proliferating rapidly.
6. Opportunistic Communication and Multiuser Diversity
An Enhancement of WirelessHART Protocol
SMART ANTENNA.
Stateful Inter-Packet Signal Processing for Wireless Networking
Nortel Corporate Presentation
Diversity Lecture 7.
DIGITAL DATA COMMUNICATION TECHNIQUES
CS 457 – Lecture 7 Wireless Networks
Considerations on AP Coordination
Master Thesis Presentation
Opportunistic Beam-forming with Limited Feedback
SMART ANTENNA.
Implicit Channel Sounding in IEEE (Feasibility Study)
Presentation transcript:

Control Channel Design for Many-Antenna MU-MIMO Jihoon Yun C. Shepard, A. Javed, and L. Zhong, “Control Channel Dsign for Many-Antenna MU-MIMO”, Mobicom 2015

Introduction The lack of an efficient and reliable control channel in current MU- MIMO architectures. In existing systems all control channel operations are performed in the no-CSI mode -> the operational range is limited Use a combination of open-loop beamforming and coding gains -> reduce the range gap between the CSI and no-CSI modes Provide their control channel design for many-antenna MU-MIMO C. Shepard, A. Javed, and L. Zhong, “Control Channel Dsign for Many-Antenna MU-MIMO”, Mobicom 2015

Background: Multiple-Input Multiple-Output Multiple-Input Multiple-Output(MIMO) Single-User MIMO (SU-MIMO) Multi-User MIMO (MU-MIMO)

Background: Beamforming Utilizes multiple antennas transmitting at the same frequency to realize directional transmission Open-loop Beamforming : uses precomputed beamforming weights without knowledge of the user’s location Closed-loop Beamforming(adaptive beamforming) : employs channel state information (CSI) to calculate the beamweights.

Background: Control Channel Performs operations required to setup data communication Synchronization Since nodes in wireless networks do not share oscillators , their time-frequency reference is subject to drift Association Before a user can transmit or receive data, it must first identify the nearby base stations, select one, then connect to it. Beacon: base stations typically transmit a unique identifier Channel state information(CSI) Collection Pilot : to obtain CSI, the transmitter sends a pre-known sequence Paging and Random Access Paging : the control channel handles notifying users when they have incoming data The control channel handles coordinating users to randomly access the network when they have outgoing data

Gap grows between no-CSI and CSI mode M Base Station Antennas K Users M M2/K Traditional Sync MU-MIMO

Open-Loop Beamforming Sweep extra-long synchronization sequences across the coverage area Coverage Gap Traditional Sync MU-MIMO Open-loop Beam

Coding Gain Achieved by sending a signal over a longer period of time Full Coverage Traditional Sync MU-MIMO Open-loop Beam Faros

Control Channel Design

Experiment Setup ’ Base-station Locations User Locations

Beacon Sweeps Detected (%) Beacon Performance Beacon Sweeps Detected (%) Method

Beacon Performance

Summary A fundamental re-design of the wireless control channel in many- antenna MU-MIMO systems Improve the range, or transmission efficiency by over 40dB Most of experiments held in stationary status.(Briefly explain mobility but there is no detailed explanation. For mobile network(LTE), the mobility have to be considered.