5G New Radio:: Introduction To The Physical Layer
5G New Radio:: Introduction To The Physical Layer
Layer
WHITE PAPER
5G New Radio:
Introduction to the Physical Layer
CONTENTS
Introduction
PHY Design
Considerations
Waveforms for 5G NR
MIMO
mmWave for
5G Bandwidth
Parts
PHY Glossary
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Introduction
To understand the three broad use cases that 5G wireless technology seeks to
transform (Figure 1), consider a typical morning office commute in a 5G-connected
car just a few years down the road. The vehicle is constantly exchanging position,
behavior, and system status information with nearby vehicles, the surrounding
highway infrastructure, and traffic control centers. Doing so in a fast and reliable
manner augments the car’s awareness of its surroundings and allows the driver to
turn the steering, accelerating, and braking functions over to the car’s
semiautonomous driving system. He can now focus on the morning’s first
conference call.
The driver’s team is trying to find the root cause of a turbine malfunction. He puts
on his augmented reality (AR) set, and a wireless 4K video feed of an airplane
turbine overlaid with sensor data and gauge readings fills his screen.
Collaborating in real time with a group of engineers in three different countries,
the team guides a technician to isolate one of the components and recommends
a troubleshooting procedure.
A few minutes later, when his intelligent-highway exit comes up, the driver takes
back control of the car, switches over to a low-bandwidth voice-only connection,
and drives into work. The car guides him to the closest available parking spot with
an electric charging station. The parking sensor at that spot detects his car and
updates the parking availability information on the network. When he plugs in the
car to charge, the charging terminal establishes a low- data-rate connection to
verify his account and process payment.
10,000X More Traffic
5G
MASSIVE ULTRA-RELIABLE
MACHINE TYPE MACHINE
COMMUNICATION TYPE
1 M devices per 1 ms Latency
COMMUNICATION
km2
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Enhanced Mobile Broadband (eMBB) seeks to significantly improve the data rate,
latency, user density, capacity, and coverage of mobile broadband access to
allow the live streaming of AR/VR applications, even in more crowded
environments, such as the intelligent highway the driver uses. Ultra-Reliable Low-
Latency Communication (URLLC) enables users and devices to communicate
bidirectionally with other devices while generating minimal latency and
guaranteeing high network availability. Finally, Massive Machine-Type
Communication (mMTC) makes it possible for many low-cost, low-power, long-life
devices to support applications such as embedded highway sensors, parking
sensors, and smart utility meters.
The requirements of these distinct use cases pose complex technical trade-offs,
which involve delicate design decisions. To guarantee interoperability and global
access to 5G, the International Telecommunication Union (ITU), an international
union of telecommunication industry players, national and regional standards
development organizations, regulators, network operators, universities, and
research institutions, must approve the standards for 5G technologies. The ITU-R
(the radiocommunication sector), the ITU-T (the standardization sector), and the
3GPP (3rd Generation Partnership Project between groups of telecommunications
associations that standardizes cellular wireless access) are working concurrently
toward a unified 5G New Radio standard. The 3GPP expects to complete Phase 1
by June 2018 with Release 15, which will focus on the eMBB and URLLC use cases.
Around the end of 2019, Phase 2 will add functionality to 5G to support more
services, large IoT deployments, and much higher frequency bands beyond 52.6
GHz.
For now, the standards bodies have reached fundamental decisions with the
Release 14 study phase, including the current focus on non-stand-alone
operation of NR to support only the eMBB and URLLC use cases. NR does this by
relying on existing 4G infrastructure, the EPC (enhanced packet core) and the
eNodeB acting as the Master cell, and the 5G gNodeB (gNB) providing secondary
access (based on the dual connectivity principle, as Figure 2 shows).
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Furthermore, the IEEE has a 5G track that oversees the direction of future
developments that existing and new IEEE technologies will need to support 5G
targets. These include 802.11ax and 802.11ay (WLAN), 802.15 (short range
technologies), and 802.22 (fixed wireless broadband).
Waveforms for 5G NR
CP-OFDM: Downlink and Uplink
Recently, researchers have been investigating many different multicarrier
waveforms and proposing them for 5G radio access. However, because
orthogonal frequency division multiplexing (OFDM) implementations lend
themselves well to TDD operation and delay- sensitive applications, and because
they have demonstrated successful commercial implementation by efficiently
processing ever-larger bandwidth signals, cyclic prefix (CP) OFDM became the
preferred choice for NR. The strong benefits of CP-OFDM that make it a great fit
for 5G implementation are:
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with Single-User MIMO and
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CHANNEL
f f f
GENERATED
RECEIVED EQUALIZED
OFDM
OFDM OFDM
WAVEFORM
WAVEFORM WAVEFORM
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With CP-OFDM, user equipment (UE) supports the following modulation schemes:
■■
QPSK
■■
16-QAM
■■
64-QAM
■■
256-QAM
For uplink, NR allows UEs to use CP-OFDM or a hybrid format waveform called
discrete Fourier transform spread orthogonal frequency division multiplex (DFT-S-
OFDM). In DFT-S-OFDM, the transmitter modulates all subcarriers with the same
data. The right side of Figure 5 shows that the first group of subcarriers (all red)
takes the same amount of bandwidth as the OFDM symbol on the left. The DFT-S-
OFDM modulator maps the same data to all subcarriers but for a shorter duration.
It then maps the next data symbol (green) to all subcarriers for another short
interval. By the end of the equivalent OFDM symbol time, the transmitter sends
the same amount of data as it sends with an OFDM waveform by mapping the
data symbols to all subcarriers simultaneously but with shorter transmission
intervals. This DFT-S-OFDM waveform combines a lower PAPR with the multipath
interference resilience and flexible subcarrier frequency allocation that OFDM
provides.
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-1,-1 1,-1
Data Symbols Occupy N x Subcarrier
Time Time
29.5
KORE 26.5
29.5 40 43.5
A 24.25 37 40.5
27.5 42.5
JAPA 24.75 37
28.35 38.6 40
N 27.5 37 38.6
24.25 43.5
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Layer US FCC
5G
EUROP
FREQUENCY (GHz)
Figure 6. 3GPP-Defined and Locally Adopted Bands for NR in the Millimeter Wave Portion of the Spectrum
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As the carrier frequency increases, so does the system phase noise. For example,
in the carrier phase noise plot of Figure 7, the difference in phase noise between a
carrier at 1 GHz and 28 GHz is about 20 dB. This phase noise increase makes it
difficult for a receiver to demodulate OFDM waveforms with the narrow, fixed SCS
and symbol duration of LTE at mmWave frequencies.
CARRIER PHASE NOISE SUBCARRIER WITH PHASE NOISE EVM
0
-20
-40
Phase Noise Power
-60
-80
-100
(dBc/Hz)
-120
-140
10 1001 000100001000001000000
Offset Frequency
3500.00 0.06
3000 .00
0.05
Doppler Frequency
2500.00
0.04
2000 .00
0.03
1500.00
0 0.02
10 0.00
(Hz)
0.01
500.00
0.00 0
Doppler 1 GHz
Doppler 4 Doppler 28 Doppler 1 Doppler 4 Doppler 28 GHz
GHz GHz GHz GHz
Also, phase noise and Doppler shift define the requirements for SCS to meet
specific error vector magnitude (EVM) criteria. That means using narrow SCS
causes higher EVM because of phase noise unless system designers implement
the design with a high-quality local oscillator at a high cost. Also, when SCS is
small, the system performance can suffer because of Doppler shift in high-
mobility scenarios. On the other hand, selecting a large SCS results in excessive
channel bandwidth. Furthermore, given that SCS is inversely proportional to the
OFDM symbol duration, the OFDM symbol and CP length shortens as SCS
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In the context of cellular standards, “numerology” refers to the physical layer SCS
and symbol length. The 3GPP standardized on a flexible numerology that scales
the space between orthogonal subcarriers, starting with the 15 kHz SCS of LTE.
One of the fundamental reasons for leveraging the exhaustive work already
completed for LTE numerology was the ability of NR deployments to coexist and
be time-aligned with LTE networks during the first phases of deployment. This
gives LTE users a gradual path to adoption of the new technology.
The standard specifies that the smallest allocatable frequency unit consists of 12
subcarriers, designated as a physical resource block (PRB). Consequently, the
smaller the SCS, the narrower the PRB, as shown in Figure 9.
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Edge
Channel
Channel
Block
Resource
Edge
Active
Resource
Blocks
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SLOT
14 OFDM
15 kHz
Symbols
1 ms
SLOT
14 Symbols 30 kHz
500 µs
SLOT
14 Symbols 60 kHz
250 µs
SLOT
14 120 kHz
Symbols
125 µs
The frame structure numbers the slots and groups them into subframes of 1 ms
duration. Ten 1 ms subframes form a complete NR frame. The number of slots
within a frame also varies with the choice of numerology, for example:
■■
Using 15 kHz of SCS results in a single 1 ms slot within the subframe,
amounting to 10 slots per frame
■■
Using 30 kHz of SCS results in a subframe with two 500 µs slots within the
subframe, amounting to 20 slots per frame
OFDM
1ms
Symb
CP Symbol 0 C Symbol 1 15 kHz SCS
ol P
CP Symbol
13
081 2 34 5 67
11 1 1 1 1
01 2 3 4 5
120 kHz SCS
9
Subframe
1ms
0
1 2 3 4 5 6 7 8 9
Frame
10 Subframes - 10 ms
Figure 12. NR Frame
Structure
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The time and frequency resource structure defines the NR resource grid in Figure
13. Depending on SCS, the resource grid changes as the number of available
subcarriers and OFDM symbols change. That is, for each numerology and carrier,
NR specifies a resource grid with a width given by the maximum number of
resource blocks per SCS multiplied by the number of subcarriers per resource
block, and a length given by the number of OFDM symbols per subframe.
T Slot
Slot
N OFDM Symbols
Resource Block
Subcarrie
Channel
Resource Element
Width
rs
To support agile and efficient use of TDD resources, NR also implements a flexible
slot structure. The system can allocate a slot as all DL, all UL, or a mix of DL and
UL to service asymmetric traffic, as Figure 14 illustrates. DL control takes place at
the beginning of the slot and UL control at the end. The system can either
configure the mixed DL/UL slot statically, as in an LTE DL/UL TDD configuration, or
change the allocation of the DL/UL mix dynamically for better efficiency and
scheduling based on traffic needs.
To accomplish this, the NR standard includes the slot format indicator (SFI), a
field that informs a user whether an OFDM symbol contains DL, UL, or flexible
(either DL or UL) slots. The SFI indicates the link direction for one or many slots
by indexing a row of the UE’s preconfigured table of possible link direction
assignments.
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DL DL DL DL DL DL DL DL DL DL DL DL
UL DL–HEAVY TRANSMISSION
WITH UL PART
SLOT
DL
UL UL UL UL UL UL UL UL UL UL UL
UL UL–HEAVY
TRANSMISSION
WITH DL
SLO
T Control
Figure 14. Flexible Slot Structure for Managing TDD Resources Dynamically
Furthermore, when the system needs to work with large payloads that don’t
demand the most immediate attention, the standard allows for slot aggregation.
In the case of eMBB, for example, having aggregated slots and longer
transmission times meets application requirements while reducing TDD switching
and signaling overhead.
NR Reference Signals
To increase protocol efficiency, and to keep transmissions contained within a slot
or beam without having to depend on other slots and beams, NR introduces the
following four main reference signals. Unlike the LTE standard, which is
constantly exchanging reference signals to manage the link, an NR transmitter
sends these reference signals only when necessary.4
1. Demodulation Reference Signal (DMRS)—The DMRS is specific for
specific UE, and a system uses this signal to estimate the radio channel.
The system can beamform the
DMRS, keep it within a scheduled resource, and transmit it only when
necessary in either DL or UL. Additionally, multiple orthogonal DMRSs can be
allocated to support MIMO transmission. The network presents users with
DMRS information early on for the initial decoding requirement that low-
latency applications need, but it only occasionally presents this information for
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Layer low-speed scenarios in which the channel shows little change.
Alternatively, tracking fast changes in high-mobility scenarios might increase
the rate of transmission (called “additional DMRS”).
2. Phase Tracking Reference Signal (PTRS)—As mentioned before, the phase
noise of the transmitters increases as the frequency of operation increases.
The PTRS plays a crucial role especially at mmWave frequencies to minimize
the effect of the oscillator phase noise
on system performance. One of the main problems that phase noise introduces into an
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OFDM signal appears as a common phase rotation of all the subcarriers, known
as common phase error (CPE). The NR system typically maps the PTRS
information to a few subcarriers per symbol because the phase rotation affects
all subcarriers within an OFDM symbol equally but shows low correlation from
symbol to symbol. The system configures the PTRS depending on the quality of
the oscillators, carrier frequency, SCS, and modulation and coding schemes
that the transmission uses.
3. Sounding Reference Signal (SRS)—As a UL-only signal, the SRS is transmitted
by the UE to help the system obtain the channel state information (CSI) for
each user. This information describes how the NR signal propagates from the
transmitter to the receiver and represents the combined effect of scattering,
fading, and power decay with distance, for example. The system uses the SRS
for resource scheduling, link adaptation, Massive MIMO, and beam
management.
4. Channel State Information Reference Signal (CSI-RS)—As a DL-only signal,
the CSI-RS the UE receives is used to estimate the channel and report
channel quality information back to the gNB. During MIMO operations, NR
uses different antenna approaches based on the carrier frequency. At lower
frequencies, the system uses a modest number of active antennas for MU-
MIMO and adds FDD operations. In this case, the UE needs the CSI-RS to
MIM calculate the CSI and report it back in the UL direction.
O
With the goal of using the spectrum more efficiently and serving more users, NR
plans to take full advantage of MU-MIMO technology. MU-MIMO adds multiple
access (multiuser) capabilities to MIMO by exploiting the distributed and
uncorrelated spatial location of those multiple users. In this configuration, the
gNB sends the CSI-RS to UE in the coverage area, and based on the SRS
response of each UE device, the gNB computes the spatial location of each
receiver. The streams of data destined for each receiver go through a precoding
matrix (W-Matrix), where the data symbols get combined into signals streaming
to each of the elements of the gNB’s antenna array5 (see Figure 15.)
h00
h10
X0 r0
UE
S0 TX ESTIMATES S0
h01
h11
W
X1 r1 UE
S
1 ESTIMATES
1
S
gNB COMPUTERS
PRECODING W-
MATRIX
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The multiple data streams have their own independent and appropriate
weightings that apply different phase offsets to each stream so that the
waveforms interfere constructively and arrive in phase at each receiver. This
maximizes the signal strength at each user’s location while presenting minimum
signal strength (a null) in the directions of the other receivers,
as Figure 16 shows.
Signal
Signal Null
MU-MIMO on the DL boosts the NR system’s capacity. It scales with the minimum
of the number of gNB antennas and the sum of the number of UE devices
multiplied by the number of antennas per UE device. In other words, MU-MIMO
can achieve MIMO capacity gains with gNB antenna arrays and much simpler
single-antenna UE devices.
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Currently, the strongest case for Massive MIMO operation is at frequencies below
6 GHz. Spectrum is scarce and valuable in this region. In these bands, Massive
MIMO systems can achieve significant spectral efficiency by spatially multiplexing
many terminals. The system can also achieve superior energy efficiency by
exploiting large antenna array gains to lower the amount of power that each front
end must handle.
In Massive MIMO systems, each antenna has its own RF and digital baseband
chain. The gNB maintains tight phase control and processes the signals from all
antennas. The system can gain a fuller picture of the channel response on the UL
and respond quickly to changes in the channel using digital processing. Massive
MIMO operates mainly in TDD, which permits the assumption of channel
reciprocity. That enables the system to estimate DL channels from UL pilots and
eliminates the need for prior knowledge of the channel.
Another advantage of future Massive MIMO systems is that they’ll provide better
and more consistent service to all UE in a coverage area. Because of an improved
link budget and the ability to place target UE precisely within the radiated beam
while nulling nontarget UE (spatial resolution), power control algorithms can
achieve greater fairness among the UE.
User mobility can limit how well Massive MIMO solutions scale up in
performance. For proper channel estimation, the system needs to send UL pilots
and payload in the UL direction. The faster UE moves, the shorter the channel
coherence time. For example, in large coverage areas with fast UE, such as a car
traveling at 120 km/h on a highway, the channel’s coherence time at 2 GHz
carrier frequency drops to around 1 ms. This requires the system to recalculate
the channel 1000 times per second to track the UE as it moves and limit the
multiplexing gain to a smaller number of terminals. Figure 18 shows how
coherence time scales with both carrier frequency and UE speed. Conversely, in
more controlled environments with little or no mobility such as fixed wireless
access, the system can accommodate hundreds of terminals through spatial
multiplexing using narrow beams.
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mmWave for 5G
Industry and academic researchers consider available mmWave bands as the
next frontier to serve the data-hungry wireless applications of the future. New
5G systems operating at 28 GHz and above offer more available spectrum for
larger channels, which work well for multi-Gbps links. Although these
frequencies see less spectral crowding than those below 6 GHz, they
experience different propagation effects such as higher free-space path loss and
atmospheric attenuation, weak indoor penetration, and poor diffraction around
objects.
To overcome these undesired effects, mmWave antenna arrays can focus their
beams and take advantage of the antenna array gain. Fortunately, the size of
these antenna arrays decreases as the frequency of operation increases, allowing
a mmWave antenna array with many elements to take up the same area that a
single sub-6 GHz element occupies (Figure 19).
Omnidirection
Highly Directive
al Radiation
Radiation Pattern
Pattern
mm
mm
60
60
60 mm 60 mm
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Baseband Chain
RF Chain
NA
PHASE SHIFTER
One of the main drawbacks of Massive MIMO systems is the high complexity
and cost of integrating and deploying a massive number of RF chains,
especially at mmWave frequencies. Researchers have proposed several
hybrid (digital and analog) beamforming alternatives6 to allow 5G gNBs to
maintain a high number of antennas while keeping the
MU-MIMO implementation costs down. Figure 21 illustrates a hybrid system with
a common baseband processing stage that feeds multiple data streams to their
corresponding RF chains. These streams undergo digital beamforming signal
processing before moving on to the analog stage. At this last stage, the system
applies beam steering with analog phase shifters, which focus the beam toward
a specific direction. This results in spatially multiplexed RF streams contained
within a directional beam.
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RF Chain
NA
Baseband Processing
W-Matrix
ND
RF Chain
NA
PHASE SHIFTER
The NR standard implements a new procedure for UE to gain initial access to the
gNB. Upon arrival to a new cell coverage area, UE is blind to the location of the
beam, ignoring the direction in which the gNB is currently transmitting to begin
the network access procedure.
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gNB UE
Synchronization Signals
Beam-
Sweeping Basic System Information for All UEs
Transmission
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Bandwidth Parts
In future 5G applications, a large range of devices and equipment will have to
operate successfully across many different bands with varied spectrum
availability. An example is UE with limited RF bandwidth needing to operate
alongside a more powerful device that can fill a whole channel using carrier
aggregation and a third device that can cover the whole channel with a single RF
chain7 (Figure 23).
Wideband UE
Carrier Aggregated UE
Narrowband UE
Resource Block
NR Carrier From the Network Perspective
Though wide bandwidth operation has a direct effect on the data rates that
users can experience, it comes at a cost. When UE doesn’t need high data rates,
wide bandwidth leads to inefficient use of RF and baseband processing
resources.
To address this, the 3GPP developed the new concept of bandwidth parts (BWPs):
the network configures certain UE with one wideband carrier and separately
configures other UE with a set of intraband contiguous component carriers using
carrier aggregation. This allows for a greater diversity of devices with varying
capabilities to share the same wideband carrier. This kind of flexible network
operation that adjusts to UE’s differing RF capability does not exist in LTE.
A BWP consists of a group of contiguous PRBs. Each BWP has an associated SCS
and CP (numerology). As a result, the system can use the BWP to reconfigure UE
with a certain numerology. UE starts out with a default active BWP during the
initial access until the system configures the UE’s BWPs explicitly during or after
connection establishment. Figure 25 shows that the network is allocating two
BWPs (BWP 1 and 2) to one UE device while reserving a third, full-channel,
overlapping BWP (BWP 3) for potential use by another higher bandwidth
UE device or application.
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BWP 3
BWP 1 BWP 2
Numerology 1 Numerology
The system can configure DL and UL BWPs for each serving cell separately and
independently. In Release 15, only one BWP in DL and one in UL are active at any
point in time, but the UE can have up to four configured BWPs.
To summarize, NR will have the flexibility to serve many different use cases
effectively by using BWPs, for example:
PRB
Supporting UE that
has narrow RF
capabilities and
reducing energy BWP
consumption when a
device doesn’t
require full
bandwidth operation
BWP 3
Supporting multiple
numerologies and
BWP 1 BWP 2
allowing operation in
noncontiguous
spectrum
Numerology 1 Numerology 2
Enabling forward
compatibility with
devices and TBD Future Application
BWP
applications that the
market will define in
the future
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100 MHz
5G 100 MHz
100 MHz
Up to 98 MHz
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LTE
20 ms
5G NR
Slot 0
Slot 1 Slot 2
Download UL DL DL UL 5G
Slot 0
Slot 1 Slot 2
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BS base station
CP cyclic prefix
Signal
multiplexing DL downlink
Broadband
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GP Layer
guard
period
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wave
NR New Radio
UE user equipment
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Endnotes
1
3GPP TS 38.101-1 V15.0.0 (2017-12) Technical Specification Radio Access Network; NR; User Equipment (UE)
radio transmission and reception.
2
3GPP TS 38.211 V15.0.0 (2017-12) Technical Specification Radio Access Network; NR; Physical channels and modulation.
3
3GPP TR 38.912 V14.1.0 Technical Specification Group Radio Access Network; Study on New Radio (NR)
access technology (Release 14.)
4
3GPP TS 38.214 V15.0.0 (2017-12) Technical Specification Radio Access Network; NR; Physical layer procedures for data.
5
Q. H. Spencer, C. B. Peel, A. L. Swindlehurst, and M. Haardt, “An introduction to the multi-user MIMO
downlink,” in IEEE Communications Magazine, vol. 42, no. 10, pp. 60–-67, Oct. 2004.
6
S. Han, C. l. I, Z. Xu, and C. Rowell, “Large-scale antenna systems with hybrid analog and digital beamforming for
millimeter wave 5G,” in IEEE Communications Magazine, vol. 53, no. 1, pp. 186–194, January 2015.
7
3GPP TS 38.213 V15.0.0 (2017-12) Technical Specification Radio Access Network; NR; Physical layer procedures for control.
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