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3GPP Long Term Evolution A Technical Study

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Title: 3GPP Long Term Evolution A Technical Study


1
3GPP Long Term Evolution A Technical Study
  • EEL 6936 Advanced Topics in Wireless
    Communications
  • Spring 2009
  • Advised by Dr. Hüseyin Arslan
  • Presented by Divya Ramamoorthy

2
Main Topics
  • Introduction to LTE
  • LTE Network Architecture
  • LTE Physical Layer
  • SC-FDMA
  • Channel Dependent Scheduling
  • Cognitive Radio for LTE RRM
  • Multiple antenna schemes in LTE
  • LTE-Advanced
  • Conclusion

3
Introduction to LTE
  • 3GPP Long Term Evolution - the next generation of
    wireless cellular technology beyond 3G
  • Initiative taken by the 3rd Generation
    Partnership Project in 2004
  • Introduced in Release 8 of 3GPP
  • Mobile systems likely to be deployed by 2010

4
Requirements to be met by LTEFast, Efficient,
Cheap, Simple
  • Peak Data Rates
  • Spectrum efficiency
  • Reduced Latency
  • Mobility
  • Spectrum flexibility
  • Coverage
  • Low complexity and cost
  • Interoperability
  • Simple packet-oriented E-UTRAN architecture

5
LTE Network Architecture
  • Simple Architecture
  • Flat IP-Based Architecture
  • Reduction in latency and cost
  • Split between
  • EPC and E-UTRAN
  • Compatibility with 3GPP and non-3GPP technologies
  • eNB-radio interface-related functions
  • MME-manages mobility, UE identity and security
    parameters
  • S-GW-node that terminates the interface towards
    E-UTRAN

6
LTE Network Architecture
7
LTE Frame Structure
  • LTE Frame Structure
  • Type I (FDD)
  • LTE Frame Structure
  • Type II (TDD)

8
Concept of Resource Blocks (RB)
  • Downlink Resource Grid
    Reference Signals for MIMO

9
Single-Carrier Frequency Division Multiple Access
(SC-FDMA)
  • Motivation for SC-FDMA
  • SC-FDMA utilizes single carrier modulation at the
    transmitter and frequency domain equalization at
    the receiver.
  • It has the best of both worlds - the low PAPR of
    single carrier systems and the multipath
    resistance and channel dependent subcarrier
    allocation features of OFDM.
  • Same complexity and performance as OFDMA

10
The SC-FDMA System
  • DFT-Spread OFDMA Mapping of spread
  • symbols , not original symbols to subcarriers!!!

11
Subcarrier Mapping Schemes
  • Localized (LFDMA)
  • Distributed (DFDMA)
  • Interleaved (IFDMA)

12
Frequency and Time Domain Representation
  • Frequency Time

13
Time domain signals of LFDMA, DFDMA and IFDMA20
14
PAPR characteristics of an SC-FDMA signal 20
  • Comparison of the CCDF of PAPR for LFDMA, DFDMA,
    IFDMA and OFDMA

15
Effect of roll-off factor, alpha on the PAPR20
16
Why does SC-FDMA have a low PAPR?
  • OFDMA
  • Parallel Transmission
  • Multi carrier structure
  • Increase in M gt
  • high PAPR
  • SC-FDMA
  • Serial Transmission
  • Each symbol
  • represented by a
  • wide signal DFT spreads
  • symbols over all subcarriers
  • PAPR not affected by
  • increase in M
  • Both occupy the same bandwidth with same
    symbol durations

17
SC-FDMA in comparison with OFDMA and DS-CDMA/FDE
  • DS-CDMA/FDE

18
Channel Dependent Scheduling
  • Channel is highly frequency selective
  • Resources in deep fade for one user could be
    excellent for another user
  • Frequency selectivity of the channel can be
    exploited by using CDS to maximize throughput
  • LFDMA frequency selective diversity
  • IFDMA Multi user diversity (inherently
    frequency diversity is obtained)

19
Cognitive RRM in LTE
  • Link adaptation possible as network segments in
    LTE adapt to the environmental changes
  • System can learn from solutions that were
    provided in the past
  • Faster response, improved performance,
    intelligent system
  • Decisions reg. apt BW,DSA,APA and AM

20
Cognitive Features to enhance RRM in LTE
21
Enhanced context acquisition mechanism
architecture for cognitive intra-cell RRM
22
Simulation Results27
  • Success Probability slowly increases with time
    and
  • mean response time decreases as more and more
  • familiar contexts are encountered. Cognitive RRM
  • with the context matching techniques understands
  • and learns from previous interactions

23
Multiple Antenna Schemes in LTE
  • In DL Tx diversity, Rx diversity, Spatial
    multiplexing (2x2,4x2 configurations SU-MIMO
    and MU-MIMO) supported
  • In UL Only 1 Transmitter (antenna selection Tx
    diversity ), MU-MIMO possible, Rx diversity with
    2 or 4 antennas at eNB supported

24
LTE Advanced
  • LTE doesnt fulfill the requirements of
    IMT-Advanced
  • 3GPP has also started work on LTE-Advanced, an
    evolution of LTE, as a proposal to ITU-R for the
    development of IMT Advanced.
  • LTE Advanced is envisioned to be the first true
    4G technology.

25
Requirements of LTE Advanced
  • Peak data rates 1Gbps in DL and 500 Mbps in UL
  • Cell edge user data rates twice as high and
    average user throughput thrice as high as in LTE
  • Peak spectrum efficiency DL 30 bps/Hz, UL 15
    bps/Hz
  • Operate in flexible spectrum allocations up to
    100 MHz and support spectrum aggregation (as BW
    in DL gtgt20 MHz)
  • An LTE-Advanced capable network must appear as a
    LTE network for the LTE UEs

26
Technological proposals for LTE Advanced
  • Larger BW can be used for high date rates and
    more coverage at cell edges
  • Advanced repeater structures
  • Relaying for adaptive coding based on link
    quality
  • CoMP

Carrier aggregation and
Spectrum aggregation
27
(Extra Slides)
28
LTE Physical Layer
  • Enables exchange of data control info between
    eNB and UE and also transport of data to and from
    higher layers
  • Functions performed include error detection, FEC,
    MIMO antenna processing, synchronization, etc.
  • It consists of Physical Signals and Physical
    Channels
  • Physical Signals are used for system
    synchronization, cell identification and channel
    estimation.
  • Physical Channels for transporting control,
    scheduling and user payload from the higher
    layers
  • OFDMA in the DL, SC-FDMA in the UL
  • LTE supports FDD and TDD modes of operation

29
LTE Physical Signals in DL and UL
30
LTE Physical Channels in DL and UL
31
Modulation
  • QPSK, 16 QAM and 64 QAM used for the payload
    channels (spectrally efficient)
  • BPSK and QPSK used for the control channels
    (Reliability and coverage)
  • Adaptive modulation and coding

32
CDS algorithms -Localized FDMA
Rk average data rate of user k Ich,k chunk
set of user k Pk transmit power of user k
  • Marginal utility is defined by
  • -gt
  • This is computed for each chunk n and each user
    k
  • N best users for each chunk become candidates for
    that chunk
  • Find the chunk n with highest marginal utility
    and for each of the N users obtained above, find
    the user k who gives the max improvement in
    utility and assign n to k
  • Remove n from the set of available chunks and
    repeat for the remaining chunks

33
Interleaved FDMA
Rk average data rate of user k Nch,k no. of
chunks for user k
  • Marginal utility is defined by -gt
  • For each user, the utility is found when the
    chunk is assigned to the user and the utility
    when there is no chunk allocation at all. N best
    users are the candidate for chunk allocation.
  • Now it is required to find the number of chunks
    to give to each of these above users The Greedy
    alloc computes this figure

34
  • Localized FDMA CDS much better than IFDMA CDS
    due to frequency selective scheduling

35
Channel Dependent Scheduling
  • No CDS gt IFDMA is better
  • With CDS gt LFDMA is better
  • Algorithms for Localized FDMA
  • FME First Maximum Expansion
  • RME Recursive Maximum Expansion

36
Figures for explanation of FME and RME


37
Packet Scheduling using buffer and channel status
  • UE buffer status and
  • channel status (CQI)
  • must be considered
  • UE sends CQI and BSR
  • to the eNB CQI used in PHY and MAC
  • (eNB Scheduler) layers for transmission and
  • scheduling decisions

38
CABA Scheduling Algorithm
  • Channel adapted factor
  • Denominator ensures fairness
  • Buffer Aware factor
  • of user i
  • Priority Function
  • involves BSR, CQI
  • and RT/NRT

Buffi (Lbuff Ncurr)/Lbuff, for
i1,2,,M
39
Impact of feedback delay in CDS
  • CSI becomes obsolete
  • Throughput degradation
  • Fast UEs get affected more

40
Impact of delay and mobile speed
41
Hybrid Subcarrier Mapping
  • LFDMA is best in maximizing throughput when CDS
    is used but is highly sensitive for large mobile
    speeds so low mobility is best for LFDMA
  • For high mobility, Distributed mapping of IFDMA
    with static scheduling is preferred
  • Using both subcarrier mappings at once is
    preferable but can conflict exclusive allocation
    requirement
  • Hybrid subcarrier mapping uses direct sequence
    spread spectrum technique prior to SC-FDMA
    modulation

42
Single carrier code-frequency division multiple
access (SC-CFDMA)
43
Spatial Multiplexing in SC-FDMA(UL)

44
Simulation Conclusions 20
  • Averaging and Quantization leads to performance
    loss
  • Feedback delay affects high speed users
  • PAPR of the MIMO case increases due to precoding
    compared to single antenna transmission

45
Efficient feedback of precoder matrix
  • SVD of averaged channel matrix
  • Channel correlation matrix R
  • Jacobi matrix J can also be used to
  • diagonalize R it can be used as the
    precoder matrix
  • At instant n, J(n) is obtained
  • At instant n1, instead of sending
  • J(n1), J is sent
  • Transmitter can compute the new
  • J(n1) using J(n) and J
  • Scheme works only for low speeds
  • and less feed back delays
  • To prevent error propagation
  • and accumulation, combined differential and
    non-differential feed back is employed

46
Transmit Antenna Selection Mode in SC-FDMA Systems
47
Spatial Multiplexing in DL using SIC
  • Data vector corresponding to each transmit
    antenna
  • The complete data vector, on subcarrier l
  • The received vector
  • Frequency domain samples at the receiver, after
    DFT
  • In a SIC MMSE receiver, a weight vector is
    applied to the received vector
  • A new received data vector is got by removing the
    effect of the previously detected symbol from the
    current received vector
  • Data symbol with max SNR can be detected first to
    help improve SNR of future iterations

48
Relation of DS-CDMA and IFDMA
49
Conclusion
  • 3GPP Long Term Evolution has a large amount of
    potential to become the technology of the future
    whose success will definitely guarantee that 3GPP
    has a significant edge over all its competitors.
  • With LTEAdvanced also adopting SC-FDMA as the
    uplink technology, SC-FDMA seems to be an
    important future technology and it is expected
    that the future would see a lot of research
    activity in this field.
  • LTE and LTE Advanced together seem to be very
    promising in fulfilling all the requirements set
    forth by ITU for IMT Advanced

50
References
  • http//www.3gpp.com/article/lte
  • http//www.3gpp.com/article/lte-advanced.
  • http//en.wikipedia.org/wiki/LTE_Advanced
  • UTRA-UTRAN Long Term Evolution (LTE) and 3GPP
    System Architecture Evolution (SAE) - Technical
    paper from http//www.3gpp.com/article/lte
  • Overview of the 3GPP Long Term Evolution Physical
    Layer White paper by Jim Zyren, freescale
    semiconductor, Document Number 3GPPEVOLUTIONWP
    http//www.freescale.com/files/wireless_comm/doc/w
    hite_paper/3GPPEVOLUTIONWP.pdf
  • 3GPP TR 25.913 V8.0.0 (2008-12), Requirements
    for Evolved UTRA (E-UTRA) and Evolved UTRAN
    (E-UTRAN) (Release 8)
  • 3GPP TS 36.300 v8.7.0, E-UTRA and E-UTRAN
    Overall Description Stage 2
  • 3GPP TS 36.401 V8.4.0 (2008-12), Evolved
    Universal Terrestrial Radio Access Network
    (E-UTRAN) Architecture description (Release 8)
  • 3GPP TS 36.410 V8.1.0 (2008-12), Evolved
    Universal Terrestrial Radio Access Network
    (E-UTRAN) S1 General aspects and principles
    (Release 8)
  • 3GPP TS 36.420 V8.1.0 (2008-12), Evolved
    Universal Terrestrial Radio Access Network
    (E-UTRAN) X2 general aspects and principles
    (Release 8)
  • 3GPP TS 36.201 V8.2.0 (2008-12), Evolved
    Universal Terrestrial Radio Access (E-UTRA) LTE
    Physical Layer General Description (Release 8)
  • 3GPP Long-Term Evolution (LTE) Qualcomm
    Incorporated, January 2008 http//www.qualcomm.co
    m/common/documents/white_papers/3GPP_LTE.pdf
  • Technical Overview of 3GPP LTE Hyung G. Myung
    http//www.scribd.com/doc/5539254/3gpp-LTE-Overvie
    w
  • LTE Overview NEC Corporation By K. Jay
    Miyahara http//www.nsma.org/conf2008/Presentatio
    n/2-1045-Miyahara-LTE_Overview_NMSA2021March08_fi
    nal.pdf
  • Agilent 3GPP Long Term Evolution System
    Overview, Product Development, and Test
    Challenges http//cp.literature.agilent.com/litwe
    b/pdf/5989-8139EN.pdf
  • Ekstrom, H. Furuskar, A. Karlsson, J. Meyer,
    M. Parkvall, S. Torsner, J. Wahlqvist, M.,
    Technical solutions for the 3G long-term
    evolution Communications Magazine, IEEE Volume
    44,  Issue 3,  March 2006 Page(s) 38 - 45
  • http//wiki.hsc.com/LTE
  • Long Term Evolution (LTE) A Technical Overview
    Technical White Paper http//www.motorola.com/s
    taticfiles/Business/Solutions/Industry20Solutions
    /Service20Providers/Wireless20Operators/LTE/_Doc
    ument/Static20Files/6834_MotDoc_New.pdf
  • 3GPP LTE Introducing Single - Carrier FDMA By
    Moray Rumney, Agilent Technologies
    http//cp.literature.agilent.com/litweb/pdf/5989-7
    898EN.pdf

51
References
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52
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