SlideShare a Scribd company logo
How To Increase 4G LTE Network Downlink
Capacity With a Simple Software Patch –
BOMA
2016
 Global mobile data traffic will increase nearly eightfold [1] between 2015 and 2020.
 To meet this exponential growth in data demand, Mobile Operators can take
different approaches to boost network capacity as shown below.
2015 2020
Mobile
Data
Traffic
8x growth [1]
Use new Spectrum Densification
Macro
Macro
+
Pico
Increase Spectral Efficiency
Massive MIMO
Full Duplex
Communication
[1] http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/mobile-white-paper-c11-520862.pdf
Network
Optimization
Site Acquisition
+
Backhaul
challenges
Chipset &
Network
Hardware
Development
Small Coverage
Capacity Low Frequency Band
Coverage
High Frequency
Band
Limited deployment use cases such
as indoor or point –to-point links
2016 2017 2018 2019 2020
Standardization
& Channel
Models Study
Massive # of Sites
Development due
to small coverage
Commercial
Launch
Massive # of Sites
Development due
to small coverage
Commercial
Launch
Multi-year Standardization Activity
Chipset & Network
Hardware
Development
Network
Testing
Commercial
Launch
• Current strategies require either massive CAPEX and/or at least several years of
standardization and feature development.
• Mobile networks need a simple cost effective solution that can boost capacity TODAY!
25% DL Capacity
Boost
PROS ~25% boost in downlink LTE Capacity.
CONS
$18.2B CAPEX spending on spectrum. Network development will be additional.
3-5 years of lag-period between investment and actual network capacity boost.
 In Jan 2015 AWS-3 spectrum auction, AT&T spent more than $18-billion to get ~20MHz of airwaves [1].
 This will boost AT&T’s downlink spectrum for LTE deployment from an existing approx. 40MHz to 50MHz
in most metro cities [2].
 AT&T plans to start rolling out AWS-3 based network in 2017-2018 [1].
[1] http://www.fiercewireless.com/story/aws-3-auction-results-att-leads-182b-verizon-104b-dish-10b-and-t-mobile-18b/2015-01-30
[2] https://s3.amazonaws.com/assets.fiercemarkets.net/public/007-Telecom/ATTSpectrum2.jpg
AWS-3
2015 2016 2017 2018
$18.2B
spectrum
purchase
Commercial
Launch
Device & Network
Equipment
Development
Network
Optimization
BOMA can provide Capacity
Relief to Congested 4G LTE
Networks NOW
and at a fraction of Cost.
 BOMA [1-2] i.e. “Building Block Sparse Constellation based Orthogonal Multiple Access” is a ground
breaking air interface technique that can easily boost LTE network capacity by downloading simple
software patches in the eNB and the mobile devices.
2016 2017 2018 2019 2020
BOMA
~ 6 months of
Proprietary/Pre-
Standard release
Software Patch
Development &
Testing
Commercial
Launch
New Spectrum/
Densification/
5G candidate
Features
Commercial
Launch
Site & Backhaul Acquisition, Standardization, Chipset & eNB
Hardware Development, Network optimization
[1]US Patent 8,077,790-”Tiled-building-lock trellis encoders,” Eric M. Dowling and John P. Fonseka
[2] USPTO Application #14/999,006 – M. Ahsan Naim and John P. Fonseka -- pending
50-60%
Downlink
Capacity boost
 BOMA, through a simple software patch based upgrade in the LTE eNB and devices can boost
network capacity by 50%-60% over traditional OFDMA currently used in 4G-LTE.
[1]US Patent 8,077,790-”Tiled-building-lock trellis encoders,” Eric M. Dowling and John P. Fonseka
[2] USPTO Application #14/999,006 – M. Ahsan Naim and John P. Fonseka -- pending
Salient Features of BOMA
Software (Patch
based) Change
• BOMA requires only minimal software changes in the LTE eNB
and handsets to work.
• No hardware/network changes are required for BOMA; hence
network capacity gain is achieved at a fraction of the cost.
Huge CAPEX savings.
Lag-period • Compared to other capacity augmentation strategies that
require 3-5 years, a simple software patch for BOMA can be
developed and deployed in 3-6 months time frame.
50%-60% capacity boost
NOW.
Compatibility
with 4G-LTE
• BOMA is fully compatible with 4G-LTE. It can be treated as an
enhancement of 4G-LTE.
Minimal changes to existing
4G-LTE network.
Frequency
Bands
• BOMA is implementable in all frequency bands i.e. Low,
Medium & High frequency bands.
Capacity boost in all bands
from 600MHz to mm-waves.
Average Capacity boost from BOMA
in different propagation environments.
 4G LTE uses QPSK, 16QAM and 64QAM (256QAM under very good signal conditions)
as modulation schemes to carry 2, 4 and 6 (8) bits of user data with each symbol
respectively.
256QAM
8 bits/symbol
QPSK
16QAM
64 QAM
256QAM
QPSK (2bits/symbol)
is used under weak
channel conditions
such as cell edge
As the quality of channel
improves (closer to base
station), the size of
constellation is
increased.
….
 A loaded LTE carrier (such as during busy hours) typically serves multiple mobile users
with different channel condition.
 Air interface resources i.e. PRBs of the carrier are shared between mobile users with
different modulation schemes.
QPSK
16QAM
64 QAM
256QAM
LTE Carrier
Bits/Symbol
QPSK
Users
256QAM
Users
16QAM
Users
64QAM
Users
[1] For simplicity, transmit diversity/rank 1/single stream transmission is assumed but Concept can also be generalized for other LTE transmission modes.
𝑨𝑽𝑮 𝑺𝑬 =
𝟐 × 𝑷𝑹𝑩 𝑸𝑷𝑺𝑲 + 𝟒 × 𝑷𝑹𝑩 𝟏𝟔𝑸𝑨𝑴 + 𝟔 × 𝑷𝑹𝑩 𝟔𝟒𝑸𝑨𝑴 + 𝟖 × 𝑷𝑹𝑩 𝟐𝟓𝟔𝑸𝑨𝑴
𝑷𝑹𝑩 𝑸𝑷𝑺𝑲 + 𝑷𝑹𝑩 𝟏𝟔𝑸𝑨𝑴 + 𝑷𝑹𝑩 𝟔𝟒𝑸𝑨𝑴 + 𝑷𝑹𝑩 𝟐𝟓𝟔𝑸𝑨𝑴
𝑷𝑹𝑩 𝑸𝑷𝑺𝑲 𝑷𝑹𝑩 𝟏𝟔𝑸𝑨𝑴𝑷𝑹𝑩 𝟔𝟒𝑸𝑨𝑴 𝑷𝑹𝑩 𝟐𝟓𝟔𝑸𝑨𝑴
 BOMA uses concept of sparse constellation to increase the average SE of the LTE carrier.
 A Sparse constellation has the same/similar minimum Euclidean distance separation
between constellation points as that of a standard constellation but contains only a
subset of all constellation points as shown in few example figures below.
Standard 16QAM
4-bits per modulation Symbol
16QAM based Sparse Constellation
3-bits per modulation Symbol
Standard 64QAM
6-bits per modulation Symbol
64QAM based Sparse Constellation
4-bits per modulation Symbol
Standard 256QAM
8-bits per modulation Symbol
256QAM based Sparse Constellation
4-bits per modulation Symbol
 Both Standard and its corresponding
Sparse constellation require similar
channel quality (SINR) for similar
performance (BLER) due to similar
minimum Euclidean distance between
constellation points.
 However compared to standard
constellation, a sparse constellation
carries fewer data bits in each symbol.
No hardware change is needed
to generate these sparse
constellations by existing LTE
transmitters (eNB).
 In order to understand BOMA, lets compare it with OFDMA in a two-user (U1, U2) scenario in an LTE
carrier, U1 with QPSK based transmission and U2 with 64 QAM based transmission.
OFDMA (LTE/LTE-A)
LTE/LTE-A system with OFDMA assigns:
 U1 with a PRB in which each RE(resource element) carries 2 bits of data using
QPSK constellation.
 U2 with second PRB in which each RE carries 6 bits of data using 64QAM
constellation.
 Here 𝐴𝑉𝐺 𝑆𝐸 =
2×1+6×1
2
= 𝟒 𝒃𝒊𝒕𝒔/𝒔𝒚𝒎𝒃𝒐𝒍
QPSK
16QAM
64 QAM
256QAMU1
U2
BOMA
LTE/LTE-A system with BOMA assigns:
 U1 with a PRB in which each RE(resource element) carries a shared Tiled-Building Block
constellation(aka Sparse constellation) formed in two steps:
 Step A: Select a small QPSK building block (BB) constellation (based on 64QAM
spacing) from two bits of U2
 Step B: Place four copies of the BB symmetrically in 4 quadrants as shown in figure
above. These four copies referred to as tiles are assigned the four combinations of
the two bits from U1
 U2 with second PRB in which each RE carries 6 bits of data using 64QAM constellation.
 Here 𝐴𝑉𝐺 𝑆𝐸 =
(2+2)×1+6×1
2
= 𝟓 𝒃𝒊𝒕𝒔/𝒔𝒚𝒎𝒃𝒐𝒍
QPSK
16QAM
64 QAM
256QAMU1
U2
Extra Bits for U2
 Compared to the standard OFDMA in a two-user (U1, U2) scenario in LTE where a carrier transmits a
total of 8 bits from U1 & U2 in 2 REs, BOMA using shared TBB transmits 10 bits in the same 2 REs for
U1 & U2 as shown below.
 Hence for this example, avg. bits per RE increases from 4 to 5 i.e. gain of 25% over LTE.
U1 Data Bit Stream (QPSK User) 0 0 1 0 1 1 1 0
U2 Data Bit Stream (64QAM User) 1 0 1 1 1 1 0 0
1st RE (Shared Tiled-Building Block Constellation)
A point is selected
for transmission
based on 2 data bits
in U1 Bits Stream
and 2 data bits in U2
Bits Stream on
shared TBB
2nd RE (Standard 64-QAM)
A point is selected
for transmission
based on separate 6
data bits in U2 Bits
Stream on standard
64-QAM
0 1 0 0 1 1 0 1
1 1 1 1 0 0 0 0
……
……
QPSK region
16QAM region
64QAM region
 QPSK region user extracts its two bits by detecting the quadrant of the received signal.
 This corresponds to 2 MSBs (most significant bits) of the 4 bit TBB constellation point label.
 Note that bit labels of 2 MSBs in TBB remains unchanged within each quadrant.
 64QAM region user extracts its own two bits by detecting one of the 4 points within a quadrant i.e. building block.
 This corresponds to 2 LSBs (least significant bits) of the 4 bit TBB constellation point label.
 As shown in figure below, only a minor change in detection i.e. Bit Level Log-Likelihood
Ratio Computation is needed. There is no change needed in the turbo decoder part of
the receiver.
No hardware change is needed
to update Bit Level Log-
Likelihood Ratio Computation
by existing LTE receiver (UE).
A simple software update is
sufficient!
3GPP parameter based simulation shows BOMA increase
downlink average spectral efficiency by 50-60% in urban macro,
urban micro and rural morphologies.
If you are interested in learning more about technical details on
how BOMA pairs users with different modulation schemes
(QPSK,16QAM, 64QAM, 256QAM), system capacity gain and
performance of LTE Network with BOMA, please contact us and
ask for BOMA whitepaper.
Contact Info:
M. Ahsan Naim, Ph.D
Co-Founder, Trellis Link
ahsan@trellislink.com
About US
Trellis Link, LLC is recently formed innovation and technology transfer company focusing on improving spectral efficiencies and
energy efficiencies in 4G and 5G communications networks. Trellis Link’s improvements allow network operators to service more
users and alleviate congestion in the networks they already have invested in or in the new networks they are fielding. Trellis Link
LLC has patented technology, called BOMA, that is able to increase the OFDMA downlink efficiency by roughly 50-60% in current
4G LTE networks. This same technology can be applied to improve spectral efficiencies in next generation 5G networks as
well. Trellis Link’s main focus is moving BOMA from the laboratory to the field.
Trellis link supplies consulting and technology transfer services to help its partners move BOMA into carrier networks
infrastructure equipment and into mobile units.
Trellis link continues to perform research and development to develop related technologies to work with BOMA and to further
help mobile networks increase the network coverage, capacity and number of users they can support with their existing and future
networks in a fixed amount of spectrum.

More Related Content

What's hot

NodeB Application Part
NodeB Application PartNodeB Application Part
NodeB Application Part
Tusharadri Sarkar
 
5 g core network and the cloud - A standards perspective
5 g core network and the cloud - A standards perspective5 g core network and the cloud - A standards perspective
5 g core network and the cloud - A standards perspective
Sridhar Bhaskaran
 
205583569 gb-interface-detailed-planning-final
205583569 gb-interface-detailed-planning-final205583569 gb-interface-detailed-planning-final
205583569 gb-interface-detailed-planning-finalOlivier Rostaing
 
Ps call flow
Ps call flowPs call flow
Ps call flow
Sudhir Kumar
 
5G NR Coverage Analysis for 700 MHz
5G NR Coverage Analysis for 700 MHz 5G NR Coverage Analysis for 700 MHz
5G NR Coverage Analysis for 700 MHz
Eiko Seidel
 
The need for Synchronisation in Telecommunications
The need for Synchronisation in TelecommunicationsThe need for Synchronisation in Telecommunications
The need for Synchronisation in Telecommunications
3G4G
 
GPRS/EDGE Basics / knowledge sharing
GPRS/EDGE Basics /  knowledge sharingGPRS/EDGE Basics /  knowledge sharing
GPRS/EDGE Basics / knowledge sharing
Mustafa Golam
 
UMTS UTRAN Call Flow
UMTS UTRAN Call FlowUMTS UTRAN Call Flow
UMTS UTRAN Call Flow
Sujeet Kumar
 
RA self tuning on LTE
RA self tuning on LTERA self tuning on LTE
RA self tuning on LTE
Francisco Micó
 
Huawei gsm grfu introduction
Huawei gsm grfu introductionHuawei gsm grfu introduction
Huawei gsm grfu introduction
sad_RNP
 
Ericsson interview
Ericsson interviewEricsson interview
Ericsson interview
Satish Jadav
 
Qcom XR Workshop Sept 2020
Qcom XR Workshop Sept 2020Qcom XR Workshop Sept 2020
Qcom XR Workshop Sept 2020
Eiko Seidel
 
Nokia L3 VPN Configuration Guide
Nokia L3 VPN Configuration GuideNokia L3 VPN Configuration Guide
Nokia L3 VPN Configuration Guide
Abel Saduwa
 
Motivation and results coverage enhancment for 3GPP NR Rel.17
Motivation and results coverage enhancment for 3GPP NR Rel.17 Motivation and results coverage enhancment for 3GPP NR Rel.17
Motivation and results coverage enhancment for 3GPP NR Rel.17
Eiko Seidel
 
5G NR Throughput Calculation
5G NR Throughput Calculation5G NR Throughput Calculation
5G NR Throughput Calculation
Abhijeet Kumar
 
EMERSON EDUARDO RODRIGUES wcdma-optimization-related-questions-m-com-academy
EMERSON EDUARDO RODRIGUES wcdma-optimization-related-questions-m-com-academyEMERSON EDUARDO RODRIGUES wcdma-optimization-related-questions-m-com-academy
EMERSON EDUARDO RODRIGUES wcdma-optimization-related-questions-m-com-academy
EMERSON EDUARDO RODRIGUES
 
TDD & FDD Interference on TD-LTE B Network
TDD & FDD Interference on TD-LTE B NetworkTDD & FDD Interference on TD-LTE B Network
TDD & FDD Interference on TD-LTE B Network
Ray KHASTUR
 
LTE: X2 interface
LTE: X2 interfaceLTE: X2 interface
LTE: X2 interface
Schwannden Kuo
 

What's hot (20)

NodeB Application Part
NodeB Application PartNodeB Application Part
NodeB Application Part
 
5 g core network and the cloud - A standards perspective
5 g core network and the cloud - A standards perspective5 g core network and the cloud - A standards perspective
5 g core network and the cloud - A standards perspective
 
Chap10 edge 03_kh
Chap10 edge 03_khChap10 edge 03_kh
Chap10 edge 03_kh
 
205583569 gb-interface-detailed-planning-final
205583569 gb-interface-detailed-planning-final205583569 gb-interface-detailed-planning-final
205583569 gb-interface-detailed-planning-final
 
Ps call flow
Ps call flowPs call flow
Ps call flow
 
5G NR Coverage Analysis for 700 MHz
5G NR Coverage Analysis for 700 MHz 5G NR Coverage Analysis for 700 MHz
5G NR Coverage Analysis for 700 MHz
 
The need for Synchronisation in Telecommunications
The need for Synchronisation in TelecommunicationsThe need for Synchronisation in Telecommunications
The need for Synchronisation in Telecommunications
 
GPRS/EDGE Basics / knowledge sharing
GPRS/EDGE Basics /  knowledge sharingGPRS/EDGE Basics /  knowledge sharing
GPRS/EDGE Basics / knowledge sharing
 
UMTS UTRAN Call Flow
UMTS UTRAN Call FlowUMTS UTRAN Call Flow
UMTS UTRAN Call Flow
 
LTE Planning Basic
LTE Planning BasicLTE Planning Basic
LTE Planning Basic
 
RA self tuning on LTE
RA self tuning on LTERA self tuning on LTE
RA self tuning on LTE
 
Huawei gsm grfu introduction
Huawei gsm grfu introductionHuawei gsm grfu introduction
Huawei gsm grfu introduction
 
Ericsson interview
Ericsson interviewEricsson interview
Ericsson interview
 
Qcom XR Workshop Sept 2020
Qcom XR Workshop Sept 2020Qcom XR Workshop Sept 2020
Qcom XR Workshop Sept 2020
 
Nokia L3 VPN Configuration Guide
Nokia L3 VPN Configuration GuideNokia L3 VPN Configuration Guide
Nokia L3 VPN Configuration Guide
 
Motivation and results coverage enhancment for 3GPP NR Rel.17
Motivation and results coverage enhancment for 3GPP NR Rel.17 Motivation and results coverage enhancment for 3GPP NR Rel.17
Motivation and results coverage enhancment for 3GPP NR Rel.17
 
5G NR Throughput Calculation
5G NR Throughput Calculation5G NR Throughput Calculation
5G NR Throughput Calculation
 
EMERSON EDUARDO RODRIGUES wcdma-optimization-related-questions-m-com-academy
EMERSON EDUARDO RODRIGUES wcdma-optimization-related-questions-m-com-academyEMERSON EDUARDO RODRIGUES wcdma-optimization-related-questions-m-com-academy
EMERSON EDUARDO RODRIGUES wcdma-optimization-related-questions-m-com-academy
 
TDD & FDD Interference on TD-LTE B Network
TDD & FDD Interference on TD-LTE B NetworkTDD & FDD Interference on TD-LTE B Network
TDD & FDD Interference on TD-LTE B Network
 
LTE: X2 interface
LTE: X2 interfaceLTE: X2 interface
LTE: X2 interface
 

Similar to BOMA Teaser

IRJET- Power Line Carrier Communication
IRJET- Power Line Carrier CommunicationIRJET- Power Line Carrier Communication
IRJET- Power Line Carrier Communication
IRJET Journal
 
Comtech-sspi-novembro-2016
Comtech-sspi-novembro-2016Comtech-sspi-novembro-2016
Comtech-sspi-novembro-2016
SSPI Brasil
 
Trev 300 morello
Trev 300 morelloTrev 300 morello
Trev 300 morello
SakkaraSakkara1
 
BER Performance Improvement for 4 X 4 MIMO Single Carrier FDMA System Using M...
BER Performance Improvement for 4 X 4 MIMO Single Carrier FDMA System Using M...BER Performance Improvement for 4 X 4 MIMO Single Carrier FDMA System Using M...
BER Performance Improvement for 4 X 4 MIMO Single Carrier FDMA System Using M...
IRJET Journal
 
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
IRJET Journal
 
Performance analysis and implementation of modified sdm based noc for mpsoc o...
Performance analysis and implementation of modified sdm based noc for mpsoc o...Performance analysis and implementation of modified sdm based noc for mpsoc o...
Performance analysis and implementation of modified sdm based noc for mpsoc o...
eSAT Journals
 
Comparative study of_digital_modulation (1)
Comparative study of_digital_modulation (1)Comparative study of_digital_modulation (1)
Comparative study of_digital_modulation (1)
Bindia Kumari
 
AIRCOM LTE Webinar 5 - LTE Capacity
AIRCOM LTE Webinar 5 - LTE CapacityAIRCOM LTE Webinar 5 - LTE Capacity
AIRCOM LTE Webinar 5 - LTE Capacity
AIRCOM International
 
566204064-SRAN13-1-15-0-NSA-Networking-Based-on-EPC-20180905.pptx
566204064-SRAN13-1-15-0-NSA-Networking-Based-on-EPC-20180905.pptx566204064-SRAN13-1-15-0-NSA-Networking-Based-on-EPC-20180905.pptx
566204064-SRAN13-1-15-0-NSA-Networking-Based-on-EPC-20180905.pptx
RajeshKumarSubramani5
 
Epma 013
Epma 013Epma 013
Epma 013
Lecturer
 
Power Optimized Transmitter for Future Switched Network
Power Optimized Transmitter for Future Switched NetworkPower Optimized Transmitter for Future Switched Network
Power Optimized Transmitter for Future Switched Network
IRJET Journal
 
Sspi day out_2014_comtech-leonardo_gil
Sspi day out_2014_comtech-leonardo_gilSspi day out_2014_comtech-leonardo_gil
Sspi day out_2014_comtech-leonardo_gil
SSPI Brasil
 
Globecom 2015: Adaptive Raptor Carousel for 802.11
Globecom 2015: Adaptive Raptor Carousel for 802.11Globecom 2015: Adaptive Raptor Carousel for 802.11
Globecom 2015: Adaptive Raptor Carousel for 802.11
Andrew Nix
 
IRJET- CAN based Data Acquisition and Data Logging System for Vehicular Commu...
IRJET- CAN based Data Acquisition and Data Logging System for Vehicular Commu...IRJET- CAN based Data Acquisition and Data Logging System for Vehicular Commu...
IRJET- CAN based Data Acquisition and Data Logging System for Vehicular Commu...
IRJET Journal
 
IRJET- Analysis of Slotted CSMA/CA of IEEE 802.15.4
IRJET- Analysis of Slotted CSMA/CA of IEEE 802.15.4IRJET- Analysis of Slotted CSMA/CA of IEEE 802.15.4
IRJET- Analysis of Slotted CSMA/CA of IEEE 802.15.4
IRJET Journal
 
1_LTE and LTE Advanced.pptx
1_LTE and LTE Advanced.pptx1_LTE and LTE Advanced.pptx
1_LTE and LTE Advanced.pptx
ssuser078739
 
14 12 may17 18nov16 13396 m f hashmi
14 12 may17 18nov16 13396 m f hashmi14 12 may17 18nov16 13396 m f hashmi
14 12 may17 18nov16 13396 m f hashmi
IAESIJEECS
 
Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...
Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...
Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...
IRJET Journal
 
Analysis of WiMAX Physical Layer Using Spatial Multiplexing Under Different F...
Analysis of WiMAX Physical Layer Using Spatial Multiplexing Under Different F...Analysis of WiMAX Physical Layer Using Spatial Multiplexing Under Different F...
Analysis of WiMAX Physical Layer Using Spatial Multiplexing Under Different F...
CSCJournals
 
Comtech sspi vsat_day_2010
Comtech sspi vsat_day_2010Comtech sspi vsat_day_2010
Comtech sspi vsat_day_2010
SSPI Brasil
 

Similar to BOMA Teaser (20)

IRJET- Power Line Carrier Communication
IRJET- Power Line Carrier CommunicationIRJET- Power Line Carrier Communication
IRJET- Power Line Carrier Communication
 
Comtech-sspi-novembro-2016
Comtech-sspi-novembro-2016Comtech-sspi-novembro-2016
Comtech-sspi-novembro-2016
 
Trev 300 morello
Trev 300 morelloTrev 300 morello
Trev 300 morello
 
BER Performance Improvement for 4 X 4 MIMO Single Carrier FDMA System Using M...
BER Performance Improvement for 4 X 4 MIMO Single Carrier FDMA System Using M...BER Performance Improvement for 4 X 4 MIMO Single Carrier FDMA System Using M...
BER Performance Improvement for 4 X 4 MIMO Single Carrier FDMA System Using M...
 
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
 
Performance analysis and implementation of modified sdm based noc for mpsoc o...
Performance analysis and implementation of modified sdm based noc for mpsoc o...Performance analysis and implementation of modified sdm based noc for mpsoc o...
Performance analysis and implementation of modified sdm based noc for mpsoc o...
 
Comparative study of_digital_modulation (1)
Comparative study of_digital_modulation (1)Comparative study of_digital_modulation (1)
Comparative study of_digital_modulation (1)
 
AIRCOM LTE Webinar 5 - LTE Capacity
AIRCOM LTE Webinar 5 - LTE CapacityAIRCOM LTE Webinar 5 - LTE Capacity
AIRCOM LTE Webinar 5 - LTE Capacity
 
566204064-SRAN13-1-15-0-NSA-Networking-Based-on-EPC-20180905.pptx
566204064-SRAN13-1-15-0-NSA-Networking-Based-on-EPC-20180905.pptx566204064-SRAN13-1-15-0-NSA-Networking-Based-on-EPC-20180905.pptx
566204064-SRAN13-1-15-0-NSA-Networking-Based-on-EPC-20180905.pptx
 
Epma 013
Epma 013Epma 013
Epma 013
 
Power Optimized Transmitter for Future Switched Network
Power Optimized Transmitter for Future Switched NetworkPower Optimized Transmitter for Future Switched Network
Power Optimized Transmitter for Future Switched Network
 
Sspi day out_2014_comtech-leonardo_gil
Sspi day out_2014_comtech-leonardo_gilSspi day out_2014_comtech-leonardo_gil
Sspi day out_2014_comtech-leonardo_gil
 
Globecom 2015: Adaptive Raptor Carousel for 802.11
Globecom 2015: Adaptive Raptor Carousel for 802.11Globecom 2015: Adaptive Raptor Carousel for 802.11
Globecom 2015: Adaptive Raptor Carousel for 802.11
 
IRJET- CAN based Data Acquisition and Data Logging System for Vehicular Commu...
IRJET- CAN based Data Acquisition and Data Logging System for Vehicular Commu...IRJET- CAN based Data Acquisition and Data Logging System for Vehicular Commu...
IRJET- CAN based Data Acquisition and Data Logging System for Vehicular Commu...
 
IRJET- Analysis of Slotted CSMA/CA of IEEE 802.15.4
IRJET- Analysis of Slotted CSMA/CA of IEEE 802.15.4IRJET- Analysis of Slotted CSMA/CA of IEEE 802.15.4
IRJET- Analysis of Slotted CSMA/CA of IEEE 802.15.4
 
1_LTE and LTE Advanced.pptx
1_LTE and LTE Advanced.pptx1_LTE and LTE Advanced.pptx
1_LTE and LTE Advanced.pptx
 
14 12 may17 18nov16 13396 m f hashmi
14 12 may17 18nov16 13396 m f hashmi14 12 may17 18nov16 13396 m f hashmi
14 12 may17 18nov16 13396 m f hashmi
 
Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...
Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...
Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...
 
Analysis of WiMAX Physical Layer Using Spatial Multiplexing Under Different F...
Analysis of WiMAX Physical Layer Using Spatial Multiplexing Under Different F...Analysis of WiMAX Physical Layer Using Spatial Multiplexing Under Different F...
Analysis of WiMAX Physical Layer Using Spatial Multiplexing Under Different F...
 
Comtech sspi vsat_day_2010
Comtech sspi vsat_day_2010Comtech sspi vsat_day_2010
Comtech sspi vsat_day_2010
 

BOMA Teaser

  • 1. How To Increase 4G LTE Network Downlink Capacity With a Simple Software Patch – BOMA 2016
  • 2.  Global mobile data traffic will increase nearly eightfold [1] between 2015 and 2020.  To meet this exponential growth in data demand, Mobile Operators can take different approaches to boost network capacity as shown below. 2015 2020 Mobile Data Traffic 8x growth [1] Use new Spectrum Densification Macro Macro + Pico Increase Spectral Efficiency Massive MIMO Full Duplex Communication [1] http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/mobile-white-paper-c11-520862.pdf
  • 3. Network Optimization Site Acquisition + Backhaul challenges Chipset & Network Hardware Development Small Coverage Capacity Low Frequency Band Coverage High Frequency Band Limited deployment use cases such as indoor or point –to-point links 2016 2017 2018 2019 2020 Standardization & Channel Models Study Massive # of Sites Development due to small coverage Commercial Launch Massive # of Sites Development due to small coverage Commercial Launch Multi-year Standardization Activity Chipset & Network Hardware Development Network Testing Commercial Launch • Current strategies require either massive CAPEX and/or at least several years of standardization and feature development. • Mobile networks need a simple cost effective solution that can boost capacity TODAY!
  • 4. 25% DL Capacity Boost PROS ~25% boost in downlink LTE Capacity. CONS $18.2B CAPEX spending on spectrum. Network development will be additional. 3-5 years of lag-period between investment and actual network capacity boost.  In Jan 2015 AWS-3 spectrum auction, AT&T spent more than $18-billion to get ~20MHz of airwaves [1].  This will boost AT&T’s downlink spectrum for LTE deployment from an existing approx. 40MHz to 50MHz in most metro cities [2].  AT&T plans to start rolling out AWS-3 based network in 2017-2018 [1]. [1] http://www.fiercewireless.com/story/aws-3-auction-results-att-leads-182b-verizon-104b-dish-10b-and-t-mobile-18b/2015-01-30 [2] https://s3.amazonaws.com/assets.fiercemarkets.net/public/007-Telecom/ATTSpectrum2.jpg AWS-3 2015 2016 2017 2018 $18.2B spectrum purchase Commercial Launch Device & Network Equipment Development Network Optimization
  • 5. BOMA can provide Capacity Relief to Congested 4G LTE Networks NOW and at a fraction of Cost.  BOMA [1-2] i.e. “Building Block Sparse Constellation based Orthogonal Multiple Access” is a ground breaking air interface technique that can easily boost LTE network capacity by downloading simple software patches in the eNB and the mobile devices. 2016 2017 2018 2019 2020 BOMA ~ 6 months of Proprietary/Pre- Standard release Software Patch Development & Testing Commercial Launch New Spectrum/ Densification/ 5G candidate Features Commercial Launch Site & Backhaul Acquisition, Standardization, Chipset & eNB Hardware Development, Network optimization [1]US Patent 8,077,790-”Tiled-building-lock trellis encoders,” Eric M. Dowling and John P. Fonseka [2] USPTO Application #14/999,006 – M. Ahsan Naim and John P. Fonseka -- pending 50-60% Downlink Capacity boost
  • 6.  BOMA, through a simple software patch based upgrade in the LTE eNB and devices can boost network capacity by 50%-60% over traditional OFDMA currently used in 4G-LTE. [1]US Patent 8,077,790-”Tiled-building-lock trellis encoders,” Eric M. Dowling and John P. Fonseka [2] USPTO Application #14/999,006 – M. Ahsan Naim and John P. Fonseka -- pending Salient Features of BOMA Software (Patch based) Change • BOMA requires only minimal software changes in the LTE eNB and handsets to work. • No hardware/network changes are required for BOMA; hence network capacity gain is achieved at a fraction of the cost. Huge CAPEX savings. Lag-period • Compared to other capacity augmentation strategies that require 3-5 years, a simple software patch for BOMA can be developed and deployed in 3-6 months time frame. 50%-60% capacity boost NOW. Compatibility with 4G-LTE • BOMA is fully compatible with 4G-LTE. It can be treated as an enhancement of 4G-LTE. Minimal changes to existing 4G-LTE network. Frequency Bands • BOMA is implementable in all frequency bands i.e. Low, Medium & High frequency bands. Capacity boost in all bands from 600MHz to mm-waves. Average Capacity boost from BOMA in different propagation environments.
  • 7.
  • 8.  4G LTE uses QPSK, 16QAM and 64QAM (256QAM under very good signal conditions) as modulation schemes to carry 2, 4 and 6 (8) bits of user data with each symbol respectively. 256QAM 8 bits/symbol QPSK 16QAM 64 QAM 256QAM QPSK (2bits/symbol) is used under weak channel conditions such as cell edge As the quality of channel improves (closer to base station), the size of constellation is increased.
  • 9. ….  A loaded LTE carrier (such as during busy hours) typically serves multiple mobile users with different channel condition.  Air interface resources i.e. PRBs of the carrier are shared between mobile users with different modulation schemes. QPSK 16QAM 64 QAM 256QAM LTE Carrier Bits/Symbol QPSK Users 256QAM Users 16QAM Users 64QAM Users [1] For simplicity, transmit diversity/rank 1/single stream transmission is assumed but Concept can also be generalized for other LTE transmission modes. 𝑨𝑽𝑮 𝑺𝑬 = 𝟐 × 𝑷𝑹𝑩 𝑸𝑷𝑺𝑲 + 𝟒 × 𝑷𝑹𝑩 𝟏𝟔𝑸𝑨𝑴 + 𝟔 × 𝑷𝑹𝑩 𝟔𝟒𝑸𝑨𝑴 + 𝟖 × 𝑷𝑹𝑩 𝟐𝟓𝟔𝑸𝑨𝑴 𝑷𝑹𝑩 𝑸𝑷𝑺𝑲 + 𝑷𝑹𝑩 𝟏𝟔𝑸𝑨𝑴 + 𝑷𝑹𝑩 𝟔𝟒𝑸𝑨𝑴 + 𝑷𝑹𝑩 𝟐𝟓𝟔𝑸𝑨𝑴 𝑷𝑹𝑩 𝑸𝑷𝑺𝑲 𝑷𝑹𝑩 𝟏𝟔𝑸𝑨𝑴𝑷𝑹𝑩 𝟔𝟒𝑸𝑨𝑴 𝑷𝑹𝑩 𝟐𝟓𝟔𝑸𝑨𝑴
  • 10.  BOMA uses concept of sparse constellation to increase the average SE of the LTE carrier.  A Sparse constellation has the same/similar minimum Euclidean distance separation between constellation points as that of a standard constellation but contains only a subset of all constellation points as shown in few example figures below. Standard 16QAM 4-bits per modulation Symbol 16QAM based Sparse Constellation 3-bits per modulation Symbol Standard 64QAM 6-bits per modulation Symbol 64QAM based Sparse Constellation 4-bits per modulation Symbol Standard 256QAM 8-bits per modulation Symbol 256QAM based Sparse Constellation 4-bits per modulation Symbol  Both Standard and its corresponding Sparse constellation require similar channel quality (SINR) for similar performance (BLER) due to similar minimum Euclidean distance between constellation points.  However compared to standard constellation, a sparse constellation carries fewer data bits in each symbol. No hardware change is needed to generate these sparse constellations by existing LTE transmitters (eNB).
  • 11.  In order to understand BOMA, lets compare it with OFDMA in a two-user (U1, U2) scenario in an LTE carrier, U1 with QPSK based transmission and U2 with 64 QAM based transmission. OFDMA (LTE/LTE-A) LTE/LTE-A system with OFDMA assigns:  U1 with a PRB in which each RE(resource element) carries 2 bits of data using QPSK constellation.  U2 with second PRB in which each RE carries 6 bits of data using 64QAM constellation.  Here 𝐴𝑉𝐺 𝑆𝐸 = 2×1+6×1 2 = 𝟒 𝒃𝒊𝒕𝒔/𝒔𝒚𝒎𝒃𝒐𝒍 QPSK 16QAM 64 QAM 256QAMU1 U2
  • 12. BOMA LTE/LTE-A system with BOMA assigns:  U1 with a PRB in which each RE(resource element) carries a shared Tiled-Building Block constellation(aka Sparse constellation) formed in two steps:  Step A: Select a small QPSK building block (BB) constellation (based on 64QAM spacing) from two bits of U2  Step B: Place four copies of the BB symmetrically in 4 quadrants as shown in figure above. These four copies referred to as tiles are assigned the four combinations of the two bits from U1  U2 with second PRB in which each RE carries 6 bits of data using 64QAM constellation.  Here 𝐴𝑉𝐺 𝑆𝐸 = (2+2)×1+6×1 2 = 𝟓 𝒃𝒊𝒕𝒔/𝒔𝒚𝒎𝒃𝒐𝒍 QPSK 16QAM 64 QAM 256QAMU1 U2 Extra Bits for U2
  • 13.  Compared to the standard OFDMA in a two-user (U1, U2) scenario in LTE where a carrier transmits a total of 8 bits from U1 & U2 in 2 REs, BOMA using shared TBB transmits 10 bits in the same 2 REs for U1 & U2 as shown below.  Hence for this example, avg. bits per RE increases from 4 to 5 i.e. gain of 25% over LTE. U1 Data Bit Stream (QPSK User) 0 0 1 0 1 1 1 0 U2 Data Bit Stream (64QAM User) 1 0 1 1 1 1 0 0 1st RE (Shared Tiled-Building Block Constellation) A point is selected for transmission based on 2 data bits in U1 Bits Stream and 2 data bits in U2 Bits Stream on shared TBB 2nd RE (Standard 64-QAM) A point is selected for transmission based on separate 6 data bits in U2 Bits Stream on standard 64-QAM 0 1 0 0 1 1 0 1 1 1 1 1 0 0 0 0 …… ……
  • 14. QPSK region 16QAM region 64QAM region  QPSK region user extracts its two bits by detecting the quadrant of the received signal.  This corresponds to 2 MSBs (most significant bits) of the 4 bit TBB constellation point label.  Note that bit labels of 2 MSBs in TBB remains unchanged within each quadrant.  64QAM region user extracts its own two bits by detecting one of the 4 points within a quadrant i.e. building block.  This corresponds to 2 LSBs (least significant bits) of the 4 bit TBB constellation point label.
  • 15.  As shown in figure below, only a minor change in detection i.e. Bit Level Log-Likelihood Ratio Computation is needed. There is no change needed in the turbo decoder part of the receiver. No hardware change is needed to update Bit Level Log- Likelihood Ratio Computation by existing LTE receiver (UE). A simple software update is sufficient!
  • 16. 3GPP parameter based simulation shows BOMA increase downlink average spectral efficiency by 50-60% in urban macro, urban micro and rural morphologies. If you are interested in learning more about technical details on how BOMA pairs users with different modulation schemes (QPSK,16QAM, 64QAM, 256QAM), system capacity gain and performance of LTE Network with BOMA, please contact us and ask for BOMA whitepaper. Contact Info: M. Ahsan Naim, Ph.D Co-Founder, Trellis Link ahsan@trellislink.com
  • 17. About US Trellis Link, LLC is recently formed innovation and technology transfer company focusing on improving spectral efficiencies and energy efficiencies in 4G and 5G communications networks. Trellis Link’s improvements allow network operators to service more users and alleviate congestion in the networks they already have invested in or in the new networks they are fielding. Trellis Link LLC has patented technology, called BOMA, that is able to increase the OFDMA downlink efficiency by roughly 50-60% in current 4G LTE networks. This same technology can be applied to improve spectral efficiencies in next generation 5G networks as well. Trellis Link’s main focus is moving BOMA from the laboratory to the field. Trellis link supplies consulting and technology transfer services to help its partners move BOMA into carrier networks infrastructure equipment and into mobile units. Trellis link continues to perform research and development to develop related technologies to work with BOMA and to further help mobile networks increase the network coverage, capacity and number of users they can support with their existing and future networks in a fixed amount of spectrum.