The document summarizes the mmMAGIC project which investigates using millimeter wave frequencies between 6-100 GHz for 5G mobile broadband services. The project aims to develop new mobile radio access technologies for 5G in these frequencies, conduct channel measurements to develop channel models, and demonstrate concepts through hardware prototypes and real-life testing. Initial contributions from the University of Bristol include millimeter wave channel measurement campaigns, ray tracing simulations to predict coverage, and developing instrumentation for channel sounding and signal generation/analysis.

1. Funding/
Acknowledgment
EU H2020 5GPPP Project mmMAGIC:
millimeter-Wave Based Mobile Radio Access Network
for Fifth Generation Integrated Communications
Points of contact: Dr Maziar Nekovee (Project Coordinator), m.nekovee@samsung.com
Professor Mark Beach (Project Partner, Bristol), m.a.beach@bristol.ac.uk
mmMAGIC Objectives and Expected Outcome
 Investigate suitable frequency ranges (6-100 GHz) for extremely high
capacity mobile broadband services.
 Conduct measurements and develop comprehensive millimeter wave
channel models suited for regulatory and standards fora usage, ITU-R
working groups and 3GPP.
 Develop novel mobile radio access technologies for 5G systems in
frequency above 6 GHz.
 Demonstrate feasibility of the developed concepts, including advanced
visualization of millimeter wave based mobile broadband systems
operating in real-life service provisioning scenarios and hardware-in-the-
loop demonstrations.
 Interface/collaborate with other 5G PPP projects, towards achieving a
common set of 5G PPP KPIs.
This poster presents some of University of Bristol’s initial contributions to the
mmMAGIC project.
Introduction
TheBrooklyn5GSummitApril20-22,2016
mmMAGIC has a bold ambition of...
 developing and designing new concepts for mobile Radio Access
Technology (RAT) for deployment in the 6-100 GHz range.
 constituting a key component in the 5G multi-RAT ecosystem and of being
used as a foundation for global standardization.
 taking a leading role in 5G research pre-standardization activities.
 contributing to 5G PPP working groups such as Spectrum, Pre-standards
and Architecture.
Concluding Remarks
Keysight Technologies Based Instrumentation
 Waveform generation and up-conversion:
• M8190A Arbitrary Waveform Generator & M9009T Waveform Creator
Software.
• Either E8277D Vector Signal Generator (<44GHz), SiversIMA (60, 70 &
80GHz) transceivers or Silicon Image 6310 devices.
 Down-convertor and waveform analysis:
• PXIe Quad Downconverter (<50GHz), SiversIMA transceivers (60, 70 &
80 GHz) or Silicon Image 6310.
• MS0S804A Mixed Signal Oscilloscope and 89601B Vector Signal
Analysis Software.
 Antennas: Rectangular, dual-polar horns or on-chip antennas.
Bristol‘s Channel Sounder
Corner Diffraction
 Measurements conducted on parallel tracks at 0.5m, 1m, 1.5m, 2m and
10m from the corner of interest (60GHz, 2GHz bandwidth, 4mm spatial
samples, directional horns at both ends). Good fit with Knife Edge
Diffraction (KED) model after de-embedding antenna patterns.
 Results showed that for 2m parallel tracks the power fell by 30dB as the
user moved just 0.5m into the shadow region. Using KED theory for a
frequency of 3.5GHz, an attenuation of 30dB required 2.5m movement
into the shadow region for the same scenario. For a 10m parallel track, the
same effect was observed after moving 1.2m into the shadow region.
Diffuse Scattering
 Very large signal strength variations in first order scattered components as
the user moves very short distances (order of centimeters). This is thought
to be a function of heterogonous structures (walls, windows, etc.) and
small-scale fading from diffuse rough surface scatter.
 Measurements performed at 60GHz with a bandwidth of 2GHz, providing
detailed in-channel information. Co-pol and cross-pol components
measured using directional horns at both ends.
Such rapid changes in received power can adversely affect the performance of
link adaptation and beam forming/tracking algorithms as well as the
efficiency of the MAC and Network layer TCP protocols in the millimetre
bands. In addition, the existence of multipath from near co-incident signals
will create fast moving variations in the channel frequency response that will
be difficult to mitigate with equalizers.
Bristol‘s Initial Measurements
 Supports lidar databases with full terrain, building and foliage information,
3D complex antenna patterns, full polarization information. Validated
against measurements at frequencies < 6 GHz.
 Currently being updated to accurately support mm-wave frequencies for
city-wide ray-tracing predictions.
 Example below shows the predicted coverage (based on throughput) for
an 802.11ad network of 17 base-stations within a 500m x 500m area in
Bristol city-center at 60 GHz.
Bristol‘s Ray-Tracing
17 BSs: Outage probability = 17%
https://5g-mmmagic.eu/
mmMAGIC Partners
Vendors: Samsung, Ericsson, Alcatel-Lucent, Huawei, Intel, Nokia
Operators: Orange, Telefonica
Leading research institutions: CEA-LETI, Fraunhofer HHI, IMDEA Networks
Universities: Aalto University, University of Bristol, Chalmers University of Technology, TU Dresden
SME: Qamcom
Test equipment manufacturers: Keysight Technologies, Rohde & Schwarz
Rough wall
Blue: co-pol
Red: cross-pol
Window
Blue: co-pol
Red: cross-pol
6.5 ns reflection causes
channel flatness to rapidly
change over a few mm travel
2GHz channel