Reconfigurable antennas for WiFi networks. Daniele Piazza Founder and CTO Adant Technologies Inc

Similar documents
G.T. Hill.

MIMO in 4G Wireless. Presenter: Iqbal Singh Josan, P.E., PMP Director & Consulting Engineer USPurtek LLC

Fast and Infuriating: Performance and Pitfalls of 60 GHz WLANs Based on Consumer-Grade Hardware

All Beamforming Solutions Are Not Equal

802.11ax introduction and measurement solution

MIMO Systems and Applications

Resilient Multi-User Beamforming WLANs: Mobility, Interference,

Designing Reliable Wi-Fi for HD Delivery throughout the Home

Long Term Evolution (LTE) and 5th Generation Mobile Networks (5G) CS-539 Mobile Networks and Computing

802.11ax Design Challenges. Mani Krishnan Venkatachari

HOW DO MIMO RADIOS WORK? Adaptability of Modern and LTE Technology. By Fanny Mlinarsky 1/12/2014

Smart Antenna Techniques and Their Application to Wireless Ad Hoc Networks

802.11n. Suebpong Nitichai

Cellular Infrastructure and Standards while deploying an RDA

Building a robust Wi-Fi Network

Are Wi-Fi Networks Harmful to Your Health?

Smart Antenna Techniques and Their Application to Wireless Ad Hoc Networks. Plenary Talk at: Jack H. Winters. September 13, 2005

Massive MIMO a overview. Chandrasekaran CEWiT

High Density Experience (HDX) Deployment Guide

The Myth of Spatial Reuse with Directional Antennas in Indoor Wireless Networks

Wireless Communication

5G - The multi antenna advantage. Bo Göransson, PhD Expert, Multi antenna systems Systems & Technology

ELEC-E7120 Wireless Systems Weekly Exercise Problems 5

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /ICCE.2012.

Propsim C8 MIMO Extension. 4x4 MIMO Radio Channel Emulation

The WiMAX e Advantage

Technical Support to Defence Spectrum LTE into Wi-Fi Additional Analysis. Definitive v1.0-12/02/2014. Ref: UK/2011/EC231986/AH17/4724/V1.

Millimeter wave: An excursion in a new radio interface for 5G

Industrial-grade, high-power n a/b/g wifi 3x3 mini-pci module w/esd and Surge Protection, AR9160-BC1B+AR9106. Model: DNMA-H5

Multiple Antenna Systems in WiMAX

Going Beyond RF Coverage: Designing for Capacity

3710i/e Indoor Access Point High Performance, Enterprise-Grade for High-Density Deployments

Beamforming for 4.9G/5G Networks

Introduction to Wireless. Presented by: Lasantha Perera, CCIE Wireless #56374

Investigation on Multiple Antenna Transmission Techniques in Evolved UTRA. OFDM-Based Radio Access in Downlink. Features of Evolved UTRA and UTRAN

Vivato Extended Range Wi-Fi Solutions

Noisy Times in Wireless. Welcome to Our World

Advanced Antenna Technology

Aruba Instant ARUBA INSTANT DATA SHEET

Multiple Antenna Processing for WiMAX

Industrial-grade, high-power n a/b/g wifi 3x3 mini-pci module w/esd and Surge Protection, AR9160-BC1B+AR9106. Model: DNMA-H5

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /MC-SS.2011.

Capacity Enhancement in Wireless Networks using Directional Antennas

Massive MIMO Full-duplex: Theory and Experiments

What is the Role of MIMO in Future Cellular Networks: Massive? Coordinated? mmwave?

Real-time Distributed MIMO Systems. Hariharan Rahul Ezzeldin Hamed, Mohammed A. Abdelghany, Dina Katabi

Cisco Conducting Cisco Unified Wireless Site(R) Survey. Download Full Version :

Muhammad Nazmul Islam, Senior Engineer Qualcomm Technologies, Inc. December 2015

Reconfigurable Hybrid Beamforming Architecture for Millimeter Wave Radio: A Tradeoff between MIMO Diversity and Beamforming Directivity

Maximizing PMP network performance in high noise environments Jeremy Vincent epmp Channel Manager

Multi-Aperture Phased Arrays Versus Multi-beam Lens Arrays for Millimeter-Wave Multiuser MIMO

Addressing Future Wireless Demand

802.11ax and ad Sneak Peek

MIMO and Beamforming in the 5G Context SBrT 2017

mm-wave Transceiver Challenges for the 5G and 60GHz Standards Prof. Emanuel Cohen Technion

K.NARSING RAO(08R31A0425) DEPT OF ELECTRONICS & COMMUNICATION ENGINEERING (NOVH).

Maximizing MIMO Effectiveness by Multiplying WLAN Radios x3

RADWIN SOLUTIONS. ENTRPRISE Broadband Wireless Access. Video Surveillance. Remote area BB Connectivity. Small Cell Backhaul

LTE-Advanced research in 3GPP

VoWLAN Design Recommendations

IEEE ax / OFDMA

2012 LitePoint Corp LitePoint, A Teradyne Company. All rights reserved.

Understanding RF Fundamentals and the Radio Design for 11ac Wireless Networks. Brandon Johnson Systems Engineer

FILA: Fine-grained Indoor Localization

Millimeter-Wave Communication and Mobile Relaying in 5G Cellular Networks

Wireless Physical Layer Concepts: Part III

MIMO-LTE A relevant Step towards 4G. Prof. Dr.-Ing. Thomas Kaiser CEO mimoon GmbH

University of Bristol - Explore Bristol Research. Link to published version (if available): /VTCF

EE360: Lecture 6 Outline MUD/MIMO in Cellular Systems

Indoor, Outdoor, Controller, Controller-less, Cloud, Onboarding, Location-based Services & Analytics

Road to High Speed WLAN. Xiaowen Wang

SpotFi: Decimeter Level Localization using WiFi. Manikanta Kotaru, Kiran Joshi, Dinesh Bharadia, Sachin Katti Stanford University

MU-MIMO with Fixed Beamforming for

Datasheet. Shielded airmax ac Radio with Isolation Antenna. Model: IS-5AC. Interchangeable Isolation Antenna Horn. All-Metal, Shielded Radio Base

Smart Antenna ABSTRACT

Providing Extreme Mobile Broadband Using Higher Frequency Bands, Beamforming, and Carrier Aggregation

Hype, Myths, Fundamental Limits and New Directions in Wireless Systems

MU-MIMO Tech Brief. Version Meggie Yao

mm Wave Communications J Klutto Milleth CEWiT

AEROHIVE NETWORKS ax DAVID SIMON, SENIOR SYSTEMS ENGINEER Aerohive Networks. All Rights Reserved.

Doodle Labs Prism-WiFi Transceiver NM-4965 High Performance COFDM/MIMO Broadband Transceiver with minipcie

License Exempt Spectrum and Advanced Technologies. Marianna Goldhammer Director Strategic Technologies

Antenna Design and Site Planning Considerations for MIMO

5G System Concept Seminar. RF towards 5G. Researchers: Tommi Tuovinen, Nuutti Tervo & Aarno Pärssinen

Nomadic Communications n/ac: MIMO and Space Diversity

What is LiFi? Harald Haas, and Cheng Chen.

An Adaptive Algorithm for MU-MIMO using Spatial Channel Model

CSIsnoop: Attacker Inference of Channel State Information in Multi-User WLANs

Wireless Networked Systems

Wireless TDMA Mesh Networks

Introducing the D-Link Wi-Fi Planner PRO

Improving ax Performance in Real World by Comprehensive Test Solution

Comparison of Distributed and Co-located Antenna Diversity Schemes for the Coverage Improvement of VoWLAN Systems

DNMA-H5 Specifica on

2-2 Advanced Wireless Packet Cellular System using Multi User OFDM- SDMA/Inter-BTS Cooperation with 1.3 Gbit/s Downlink Capacity

Attorneys for Plaintiff XR Communications, LLC, dba Vivato Technologies UNITED STATES DISTRICT COURT SOUTHERN DISTRICT OF CALIFORNIA

NR Physical Layer Design: NR MIMO

Addressing WISPs Strategic Challenges

Cognitive Wireless Network : Computer Networking. Overview. Cognitive Wireless Networks

An LTE compatible massive MIMO testbed based on OpenAirInterface. Xiwen JIANG, Florian Kaltenberger EURECOM

Transcription:

Reconfigurable antennas for WiFi networks Daniele Piazza Founder and CTO Adant Technologies Inc

Company Overview Adant Padova, Italy Adant SF Bay Area Adant Taiwan Adant designs, licenses, and manufactures reconfigurable (smart) antenna systems for the wireless communications industry 2

Adant main markets WIRELESS NETWORKING MOBILE INTERNET HOME GATEWAY RFID Wireless ISP 3

Outline q Reconfigurable antenna system for WiFi devices q Advantages and challenges of using reconfigurable antennas in commercial WiFi devices l Network capacity maximization l Interference mitigation l Enhanced capacity in high density environments l Coordination and benefit with digital beamforming l Coordination and benefit with MU-MIMO q Conclusions 4

Reconfigurable antenna system Active RF devices shape the antenna beams and control their direction PCB metamaterial antenna integrates easily into any device SW algorithms select the optimal beam shape for maximum reliability of the wireless link 5

MIMO systems adaptive antennas The best wireless communication channel between TX/RX antennas is carefully selected among the large set of channels that can be generated by changing the antenna radiation patterns STANDARD MIMO SYSTEM Standard static antenna MIMO SYSTEM WITH RECONFIGURABLE ANTENNAS Reconfigurable antenna TX RX TX RX DIFFERENT CHANNELS maximize SINGLE channel CHANNEL enhance pre-coding diversity + SNR at suppress interference CHANNEL SELECTION techniques receiver 6

Reconfigurable HW conceptual design Active antenna Passive metallization q Passive metal elements can be connected or disconnected from a ground plane or connected and disconnected between each other to change the beam and null direction of the active element q Adant patented smart antenna technology and designs allow for best radiation efficiency, good impedance matching and lowest cost 7

Reconfigurable antenna capabilities q Each antenna in the array can generate up to 2 N independent radiation patterns where N is the number of parasitic elements in the antenna 8

2016-Q2 Adant Smart Antenna Portfolio All designs are scalable to different form factors to fit Wi-Fi base stations for indoor and outdoor applications Antennas with omnidirectional coverage Antennas with sectorial coverage 9

Integration with WiFi systems q Integration is designed to support packet by packet configuration switching q Antenna system allows for 1 µsec switching time WiFi 3x3 device ANT 1 CPU with reconfigurable antenna drivers GPIO WiFi chipset GPIO ANT 2 ANT 3 Antenna control circuitry DC bias line 10

Maximum diversity + SNR H1 RX H2 HN TX Q array configurations y = H x + n Optimal antenna selection C = max log ) det I + SNR 2 N 3 H 2 H 2 11

Configuration selection in WLAN devices q Normally the channel matrix (H)is not directly available in commercial WLAN devices q The problem of selecting the optimal smart antenna configuration can be separated in two steps: l Evaluating the cost function: access the required parameters and compute the value l Smart Antenna training: optimizing the cost function 12

Cost function in WLAN devices q Cost function must be strongly correlated to the performance metric that needs to be optimized DATA PACKET STA ACK AP Available parameters RSSI SR rate BW PL Meaning Strength of received signal per antenna Packet success rate Rate of data transmission (modulation and coding) Bandwidth of operation Packet length Example of cost function (CF) for throughput (TP) optimization CF = f SR, RSSI, rate, BW, PL ρ CF, TP 0.9 13

Test setup q Downlink and uplink throughput is measured with an omnidirectional antenna and with a reconfigurable antenna using a 3x3 BS and 2x2 client Old villa Concrete ground and ceiling Harsh environment Underground parking lot Concrete ground and ceiling Quasi LOS environment 14

Measured Performance single client Reconfigurable antenna system improvement vs static antenna system 40% of cases where gain > 35% in download;; (30%in upload) Average TP impr. Downlink = 36% Uplink = 30% Data sample of 100 measurements 15

Measured Performance single client Performance benefit is max at low SNR Throughput Improvement vs. internal omnidirectional antennas 5 GHz DOWNLINK UPLINK ALL THROUGHPUT RANGES HIGH THROUGHPUT (>60% of MAX THROUGHPUT) LOW THROUGHPUT (<30% of MAX THROUGHPUT) 1.36x 1.30x 1.15x 1.04x 1.43x 1.34 16

Measured Performance multi client Reconfigurable antenna system improvement vs static antenna system Average TP improvement = 30% Data sample of 44 measurements 17

Reconfigurable antennas for interference mitigation H1 RX H2 HN TX Q array configurations Optimal antenna selection C = max log ) det I + SNR 2 N 3 H 2 H 2 W 2 HI 18

Adant interference mitigation Dynamically change direction of radiation to maximize power at the receiver while minimizing interference 19

Interference test setup q Throughput in downlink is measured with an omnidirectional antenna and with a reconfigurable antenna using a 3x3 BS and 2x2 client q Client (STA) is exposed to a lower amount of interference with respect to the AP q Distance between AP and client is minimized to determine only the effect due to interference mitigation D > d D > d d < 5 m d < 5 m 20

Measured Performance 20 different scenarios Reconfigurable antenna system improvement vs static antenna system Average TP improvement = 3.5X 21

High density deployment q Multiple APs operating on the same frequency channel q Co-channel interference is main cause of performance degradation q Reconfigurable antennas provides coordinated interference mitigation capabilities to improve the network capacity 4 7 8 AP 2 AP 4 6 2 AP 1 AP 3 22

Aggregate Throughput [Mb/s] 600 500 400 300 200 600 Multiple base stations with implicit zyxel ruckus 500 cisco aruba coordination 400 AP with Adant reconfigurable antenna system zyxel ruckus cisco aruba 300 Each optimizes its own cost function with no 200 coordination with the other base 100 stations Aggregate Throughput [Mb/s] 400 300 200 Aggregate Throughput [Mb/s] Aggregate Throughput [Mb/s] 0 300 200 Deployment 1 1 BSS1 BSS2 BSS1+BSS2 Deployment 1 1 Deployment 1 2 Deployment 2 1 Deployment 1 700 Deployment 2 600 Deployment 3 zyxel zyxel ruckus ruckus 600 cisco 500 cisco aruba aruba 500 400 Aggregate Throughput [Mb/s] Aggregate Throughput [Mb/s] 700 600 500 400 300 200 100 0 350 300 250 200 150 100 100 100 100 50 0 BSS1 BSS2 BSS1+BSS2 ruckus cisco aruba 5 5 7 7 AP#2 AP#2 6 6 5 57 7 6 Deployment 1 and 2 68 8 1 2 2 4 4 Aggregate Throughput [Mb/s] 1 3 3 AP#1 AP#1 0 350 300 250 200 150 100 50 0 3 4 BSS1 BSS2 BSS1+BSS2 zyxel ruckus cisco aruba Deployment 2 2 5 75 7 AP#2 AP#2 3 BSS1 BSS2 BSS1+BSS2 4 6 86 8 0 BSS1 BSS2 BSS1+BSS2 Figure.5.Aggregate)throughput)of)each)BSS,)total)per)dep Deployment 3 ) We)repeated)a)very)similar)test)with)four)additional)deploym technology) may) address) the) cotchannel) interference) pro transmission)power:)to)this)end)we)increased)the)transmiss 23dBm)keeping)the)others)to)17dBm.)This)should)increase) but)only)for)the)aps)equipped)with)sa)technology.) ) As)before)we)report)in)Figure)6)the)positions)of)the)clients)fo first)two,)3t1)and)3t2,)are)on)the)left;)the)others,)4t1)and)4t2 to)indicate)how)we)moved)nodes)from)one)deployment)to)t ) 8 8 7 7 2 2 1 1 1 AP#1 AP#1 1 3 3 2 2 4 4 ) ) 23 0

Explicit coordination q Joint user-beam selection 4 AP 2 6 AP 4 AP 2 AP 4 4 7 8 3 AP 1 AP 3 AP 1 2 AP 3 A. Michaloliakos, W. C. Ao, and K. Psounis, Joint user-beam selection for hybrid beamforming in asynchronously coordinated multi-cell networks, in Proceedings of Information Theory and Applications Workshop (ITA), San Diego, California, USA, February 2016. 24

Coordination schemes performance Avg. Throughput per user [Mbps] 60 50 40 30 20 10 SU MISO MU MIMO Coor. MU Hybrid 1x Power Coor. MU Hybrid 2x Power Coor. MU Hybrid 8x Power Coor. MU MIMO 30x30m hall, 200 users, AP density: 1 AP/BS per 112.5/45/22.5 sq m (~10/7/5m between APs/BSs) User density: 1 active user per 4.5 sq m (~10% of users active) 0 8 20 40 Number of stations A. Michaloliakos, W. C. Ao, and K. Psounis, Joint user-beam selection for hybrid beamforming in asynchronously coordinated multi-cell networks, in Proceedings of Information Theory and Applications Workshop (ITA), San Diego, California, USA, February 2016. 25

Smart antenna and digital beamforming Maximum signal strength at receiver and channel selection H1 RX H2 HN TX Q array configurations y = H Bx The reconfigurable antenna selects the best wireless channel and the precoding matrix optimizes that channel for maximum SNR at the receiver 26

Smart antenna and digital beamforming Optimal combined radiation patterns to improve link of interest (power at receiver) and interference mitigation (null steering towards interfering sources) Combined beamforming and reconfigurable antenna digital beamforming only AP Optimal control of radiation nulls and radiation in the intended direction 27

28 Test setup Downlink throughput is measured with an omnidirectional antenna and with a reconfigurable antenna system using an AP with digital beamforming Old villa Concrete ground and ceiling Harsh environment Underground parking lot Concrete ground and ceiling Quasi LOS environment

Measured Performance Reconfigurable antenna system improvement vs static antenna system Average TP impr. = 32% 25% of cases where gain >40% 40% Data sample of 100 measurements 29

Advantages of Adant and TXBF Adant smart antenna system significantly improves AP performance with and without TXBF Average benefit vs. standard antenna system TXBF OFF TXBF ON 35% 32% Results based on >50 independent measurements in two different environments EXAMPLE Standard Omni Antennas Adant smart antenna system TXBF OFF 100 Mbps 135 Mbps TXBF ON 130 Mbps 170 Mbps 30

Reconfigurable antennas and MU-MIMO The reconfigurable antenna creates the wireless channel to enable the possibility of simultaneous transmission to multiple users through the proper precoding matrix H1 H N B 2 = 0 RX 1 H2 TX HN H N B 1 = 0 RX 2 31

STANDARD ANTENNA RECONFIGURABLE ANTENNA Grouping and reconfigurable antennas Client A Client B Client A Client B SCENARIO A Grouping OK Client C A P Grouping OK Client C A P Omnidirectional radiation Smart antenna configuration Client B Grouping NOT possible Client B Client A SCENARIO B A P Grouping OK Client A A P Client C Omnidirectiona l radiation Client C Smart antenna configuration 32

33 Test setup q Different combinations of three MU-MIMO clients are connected to a 4x4 commercial grade AP MU-MIMO capable based on QCA 9990 chipset q Aggregate downlink throughput is measured with an omnidirectional antenna and with a reconfigurable antenna system

Measured Performance Reconfigurable antenna system improvement vs static antenna system 45% of cases where gain >30% Average TP improvement = 30% Data sample of >40 measurements 34

Conclusions q Reconfigurable antenna systems significantly enhance WiFi networks by: l Maximizing network capacity l Mitigating interference through implicit or explicit coordination between base stations l Enhancing based band pre-coding techniques like MU-MIMO q Antenna selection speed and uplink benefit highly depend on the level of integration that can be achieved with the WiFi chipset q Additional benefits that Adant is further exploring in using reconfigurable antennas in WiFi networks are relative to the possibility of l Enhancing security of the network l Providing reliable localization services 35