what is in for D2D in 5G wireless support of underlay low-rate M2M links Petar Popovski [email protected] Aalborg University, Denmark will not only be “4G, but faster” WDPC.
Download ReportTranscript what is in for D2D in 5G wireless support of underlay low-rate M2M links Petar Popovski [email protected] Aalborg University, Denmark will not only be “4G, but faster” WDPC.
what is in for D2D in 5G wireless
support of underlay low-rate M2M links
Petar Popovski [email protected]
Aalborg University, Denmark
will
not only
be
“4G, but faster”
WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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5G research @ EU
FP7 METIS M obile and wireless communications E nablers for the T wenty- twenty (2020) I nformation S ociety Budget:
27 M €
.
Objective: 5G
by 2020 system concept that meets the requirements of the 2020 connected information society and extend today’s wireless communication systems to support new usage scenarios . Such a system has to be more
efficient, versatile
, and
scalable
compared to today’s systems.
WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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METIS system concept
immense task, split into 5 Horizontal Topics direct Device-to-Device communication (D2D) how to efficiently enable and for what to use D2D Massive Machine Communication (MMC) how to support a massive number of low-cost, low-energy devices WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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METIS system concept
Moving Networks (MN) extend the current wireless infrastructure to moving/nomadic nodes and create new services Ultra-Dense Networks (UDN) provide and sustain high rates to a large number of users in close proximity Ultra-Reliable Communication (URC) how to guarantee certain connectivity or latency 99.999+% of the time WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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data rate Gbps Mbps kbps bps 1
a biased personal summary of 5G R1 R2 ≥99% R5
R1: today’s systems R2: high-speed versions of today’s systems R3: massive access for sensors and machines R4: ultra-reliable connectivity R5: physically impossible
R4 ≥99.999%
10 100
R3 ≥90-99%
1000 1000 0 # devices WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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direct D2D
refers to local D2D communication controlled by the core network it can potentially improve reliability latency throughput per area spectral efficiency machine-type access
new services
WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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extended coverage multi-hopping network coding cooperative diversity ad hoc networking in emergency fallback solution
D2D for reliability
WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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how to do this reliably in 2020+?
D2D for latency
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D2D for latency
network-controlled D2D has an advantage over pure Bluetooth-like D2D facilitates leader election in neighbor discovery and link rendezvous interference control (licensed spectrum) diversified connection WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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offloading and local content sharing close connection to
caching
D2D for throughput
WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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D2D for spectral efficiency
the D2D setting looks like a
cognitive radio
with
consensual primary
spectral efficiency in the previous example another example is to use the features of the multiple access channel
D3
WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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D2D support of machine-type access
trunking effect and coordination
decrease the random access pressure on the Base Station WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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D2D support of machine-type access
low power uplink
sensor attached to a phone underlay operation in the same spectrum WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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D2D in the 5G diagram
data rate Gbps Mbps
R2 offloading, prosumers R1
kbps bps 1
R4
10
reliability, latency
100
R3
1000
R5 machine type access
1000 0 # devices WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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D2D for underlay machine-type access
WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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scenario of machine-type D2D Normal D2D B Low Power Consumption
U1 M1 U2
Access Load Relief Area Base Station Cellular Device Cellular MTD Device-to-Infrastructure Device-to-Device Machine-Type Device-to-Device
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B
U M
model of underlay operation Base Station Cellular D evice Cellular M T D D evice-to-I nfrastructure M achine-T ype D evice-to D evice A ggregate I nterference
I~ WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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B U M problem definition
assume that B knows the channel B-U but not the channel M-U U can decode both signals from B and M how should B select the downlink rate R B , so that the downlink is not in outage?
transmission WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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multiple access channel at U B
C
R B R M0 is fixed
C
( g
B
+ g
M
)
U
C
æ è g
B
1 + g
M
ö ø
M
C
è g
M
1 + g
B
ø
C
low R M0 candidate for interference cancelation R M WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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three MAC regimes with joint decoding (JD)
maximal decodable R B R B R B R B R M0 R M0 not decodable R M R M0 joint decoding of R B and R M0 R M WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
R M0 SIC: R M0 first removed R M 21 / 30
max R B as a function of the strength of the link M-U
rates
R
B and
R
M0 represented
equivalently
through SNRs G B and G M outage no outage G
B
= g
B
1 + G
M
WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
possible to select R B and avoid outage independently of the fading statistics for M-U 22 / 30
outage for the link M-U
below this value g
B
G
M
1 outage affected only by the statistics of the M-U link G
M
outage g
B
G
B
1 no outage g
M
WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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maximal zero-outage rate
R B
= log 2 æ è 1 + g
B
1 + G
M
ø
C
è g
B
1 + G
M
ø
R
M0 increases as the rate
(
G M
) decreases
WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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B U M a simple single-user decoder
C
R B R M0 is fixed
C
( g
B
+ g
M
)
C
è g
B
1 + g
M
ø
C
è g
M
1 + g
B
ø
C
R M WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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maximal R B with single-user decoding
G
B
outage no outage G
B
= g
B
1 + G
M
(1 + g
B
) maximal zero-outage R B is lowered is a penalty , there due to single-user decoding WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
G
M
(1 + g
B
) g
B
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evaluation scenario B
U M U is the reference point
Base Station
a unit-radius circle
Cellular M T D
centered at U
D evice-to-I nfrastructure M achine-T ype D evice-to-
B and NM-1 MTDs I~ within the disk of radius R σ 2 P M = −97.5[dBm] =−10[dBm] WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
α=4 R=200[m] P B =30[dBm] 27 / 30
numerical results
1 0.8
0.6
0.4
0.2
0 0.1
6 4 2 0 0.1
0.2
0.2
0.3
0.4
0.3
0.4
0.5
R M 0.6
0.5
R M 0.6
0.7
0.8
JD Analytical JD Simulation SD Simulation 0.9
1 0.7
0.8
0.9
1 WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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regime of high interference
3 2 1 0 10 1 6 5 4 10 2 WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
N M 10 3 Absent M−U JD R M = 0.01
SD R M = 0.01
R M = 0.1
R M = 1 R M = 10 29 / 30 10 4
summary
D2D will play multiple roles in 5G and improve reliability, latency, throughput per area, spectral efficiency, machine-type access we have considered underlay D2D for low-power low-rate machine access outage-free transmission even in presence of underlay keys: low rate and successive interference cancellation next steps evaluate the concept with actual modulation/coding D2D for trunking in M2M access WDPC @ WCNC @ Istanbul, Turkey, April 6, 2014.
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