Introduction to Key LTE TDD Features: Beamforming

Slides:

Advertisements

Similar presentations

IMT-Advanced Technical Requirements Summary of status after 22 nd Meeting of WP8F.

Advertisements

GSC: Standardization Advancing Global Communications Evolution of TD-SCDMA China Communications Standards Association (CCSA) Chicago, May 29th to 2nd June,

CELLULAR COMMUNICATIONS. LTE Data Rate Requirements And Targets to LTE  reduced delays, in terms of both connection establishment and transmission.

Resource Allocation and Reuse in LTE. Mobile Communication 2 Markus Laner Seminar, SS Contents Introduction History of Resource Reuse Proposals.

Comparison of different MIMO-OFDM signal detectors for LTE

PDCCH LINK ADAPTATION tuning

Aida BotonjićTieto1 LTE Aida Botonjić. Aida BotonjićTieto2 Why LTE? Applications: Interactive gaming DVD quality video Data download/upload Targets: High.

Block error(BLER) target

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.

CDMA X RTT Overview. Global 3G Evolution.

LTE System Multiple Antenna Techniques

Networking with massive MU-MIMO Lin Zhong

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.

Supervisor: Prof. Jyri Hämäläinen Instructor: M.Sc Zhong Zheng A part of NETS2020 project Ying Yang

Alleviating cellular network congestion caused by traffic lights Hind ZAARAOUI, Zwi ALTMAN, Tania JIMENEZ, Eitan ALTMAN.

12. Feb.2010 | Christian Müller Distributed Resource Allocation in OFDMA-Based Relay Networks Christian Müller.

Physical Layer Informed Adaptive Video Streaming Over LTE Xiufeng Xie, Xinyu Zhang Unviersity of Winscosin-Madison Swarun KumarLi Erran Li MIT Bell Labs.

1 PROPAGATION ASPECTS FOR SMART ANTENNAS IN WIRELESS SYSTEMS JACK H. WINTERS AT&T Labs - Research Red Bank, NJ July 17,

Ch 11. Multiple Antenna Techniques for WMNs Myungchul Kim

1 Performance comparison of Modulation and Coding set for IEEE m system Document Number: IEEE C802.16m-09/0555r3 Date Submitted: Source:

Service Differentiation for Improved Cell Capacity in LTE Networks WoWMoM 2015 – June 2015, Boston - USA Presenter: Mattia Carpin

1 HAP Smart Antenna George White, Zhengyi Xu, Yuriy Zakharov University of York.

TSB–88 For Public Safety LTE.  Focus on basic LTE coverage modeling and verification definitions and procedures ◦ Tile reliability ◦ Service area reliability.

Problem Description Primary receiver Secondary receiver eNodeB Aim: Reception of MIMO signals by a secondary receiver Parameterize design of secondary.

1 Harmonization Meeting on 3GPP HSDPA and 3GPP2 1xEV-DV Work New-Jersey Nov 2001 HSDPA - Simulation Assumptions in 3GPP TSG RAN WG1 Chairman Antti.

Wireless Multiple Access Multiple Simultaneous Connections By Dr. Larry Hash.

Doc.: IEEE /0066r0 Submission January 2015 Yongho Seok, NEWRACOM Downlink OFDMA Protocol Design Date: Authors: Slide 1.

August 13, 1999 TXAA Feedback Channel 1. August 13, 1999 TXAA Feedback Channel 2 Contents  Introduction  TXAA and Feedback Channel Description  Generation.

C80216m-08_215 ProjectIEEE Broadband Wireless Access Working Group Title16m Downlink Dedicated Pilot Structure for TDM Control.

Improvements in Feature Documentation Documentation Dept, WN March 2014 INTERNAL.

HSPA/HSDPA (Beyond 3G) PRESENTED BY- NEHA ANAND NUPUR ANAND ROLL NO-50 ROLL NO-55.

Uplink scheduling in LTE Presented by Eng. Hany El-Ghaish Under supervision of Prof. Amany Sarhan Dr. Nada Elshnawy Presented by Eng. Hany El-Ghaish Under.

A REVIEW: PERFORMANCE ANALYSIS OF MIMO-WiMAX AKANKSHA SHARMA, LAVISH KANSAL PRESENTED BY:- AKANKSHA SHARMA Lovely Professional University.

Technology training (Session 6)

Baseband Platforms - Architecture

MIMO WIRELESS COMMUNICATION SYSTEMS

Active Antennas Solutions 1st European Trial of AAU3902

LTE Long Term Evolution

Support for Advance Antennas & Techniques in WNM

Hana Hani Omar Nabil Omar Hesham Youssef Essam Ahmed Ali Karim Ahmed

Mitigating Macro-cell Outage in LTE-Advanced Deployments

Jinseok Choi, Brian L. Evans and *Alan Gatherer

R : SRS Enhancements for LTE-A

LTE Long Term Evolution

Yinsheng Liu, Beijing Jiaotong University, China

Nortel Corporate Presentation

5G Communication Technology

Emerging ICT needs – a Practitioners Perspective

Test strategy towards Massive MIMO Using LTE-Advanced Pro eFD-MIMO

EE608 Adaptive Signal Processing Course Project Adaptive Beamforming For Mobile Communication Group: 1 Chirag Pujara ( ) Prakshep Mehta.

5G Micro Cell Deployment in Coexistence with Fixed Service

Transmit processing: a viable scheme for MIMO-OFDM in n

Month Year November 2018 November 2018

Considerations on AP Coordination

General ad hoc- LB115- Comment Resolutions – Jan 08

1/3/2019<month year> <month year> doc.: IEEE July 2012

PHY SIG Frame Structure for IEEE aj (45GHz)

doc.: IEEE yy/xxxxr0 Date:

Part 5 4th Generation Systems and Long Term Evolution

doc.: IEEE yy/xxxxr0 Date:

Documentation Express -----Improvements of Feature Documentation 01

AP Coordination in EHT Date: Authors: Name Affiliations

doc.: IEEE yy/xxxxr0 Date:

doc.: IEEE yy/xxxxr0 Date:

doc.: IEEE yy/xxxxr0 Date:

Strawmodel ac Specification Framework

doc.: IEEE yy/xxxxr0 Date:

AP Coordination in EHT Date: Authors: Name Affiliations

Presentation transcript:

Introduction to Key LTE TDD Features: Beamforming Security Level: Introduction to Key LTE TDD Features: Beamforming Documentation Dept 2014-01

Introduction to Key LTE TDD Features: Beamforming Definition Benefits Basic principles Beamforming features and their characteristics When to use beamforming How to deploy beamforming Beamforming Feature Parameter Description

Definition With traffic beamforming, an eNodeB weights downlink data before transmission to form a narrow beam toward target UEs, thereby increasing the SINR for demodulation and improving CEU experience.

Gains Offered By Beamforming Beamforming offers array gains and multiplexing gains. Array gains indicate an increase in the SINR at the receiver and the improvements of cell coverage. When channel quality is poor, an increase of the array gain indicates that user experience improves. When channel quality is satisfactory, an eNodeB uses the same time-frequency resource to process two data streams related to one user or the data streams related to two users, increasing cell throughputs and peak cell capacity.

Basic principles In an LTE TDD system, the eNodeB measures uplink channel quality using SRSs and estimates the downlink channel characteristics based on channel reciprocity between the uplink and downlink. Based on the measurement and estimation results, the eNodeB calculates the weight and then applies it to downlink signals to form a narrow beam toward target UEs. Weighting

Beamforming Features and Their Characteristics Beamforming covers the following features: Characteristics of Beamforming Features

When to Use Beamforming Adaptive selection between beamforming and MIMO in low-speed scenarios Adaptive selection between beamforming and MIMO in low-speed scenarios

How to Deploy Beamforming Beamforming Feature Parameter Description describes how to deploy beamforming features and adaptation between beamforming and MIMO in the following chapters.

How to Obtain Beamforming Feature Parameter Description Log in to http://support.huawei.com, and obtain Beamforming Feature Parameter Description from eRAN TDD 6.1 Feature Documentation 01(HDX).