improving mimo spectral efficiency in 4g macro-cellular

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© 2005, it - instituto de telecomunicações. Todos os direitos reservados. Pedro Vieira Paula Queluz António Rodrigues Improving MIMO Spectral Efficiency in 4G Macro-Cellular Networks ISEL

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Page 1: Improving MIMO spectral efficiency in 4G macro-cellular

© 2005, it - instituto de telecomunicações. Todos os direitos reservados.

Pedro VieiraPaula QueluzAntónio Rodrigues

Improving MIMO Spectral Efficiency in 4G Macro-Cellular Networks

ISEL

Page 2: Improving MIMO spectral efficiency in 4G macro-cellular

2 | Lisbon, 29th October 2008

Outline

Radio Channel Model Implementation

The FS MIMO Channel Model

LTE MIMO Channel Spectral Efficiency

LTE Spectral Efficiency Expectation

Simulation Results

Conclusions

Page 3: Improving MIMO spectral efficiency in 4G macro-cellular

3 | Lisbon, 29th October 2008

Channel Model Implementation (1/2)

The channel model is built

over a previously developed

directional channel model,

which is an extension of

COST 273 channel model.

It introduces terrain and

building information into

radio channel simulation.

Page 4: Improving MIMO spectral efficiency in 4G macro-cellular

4 | Lisbon, 29th October 2008

Channel Model Implementation (2/2)Large-Scale Variations and Clustering

Page 5: Improving MIMO spectral efficiency in 4G macro-cellular

5 | Lisbon, 29th October 2008

The FS MIMO Channel Model (1/4)

xR(f)

x1(f)

x2(f)

BS (Tx)

x(f)

R elements

MS (Rx)

y(f)

Propagation Channel

yS(f)

y1(f)

y2(f)

S elements

Page 6: Improving MIMO spectral efficiency in 4G macro-cellular

6 | Lisbon, 29th October 2008

BSθ

AoDn,δ

, ,n m AoDΔ

AoDmn ,,θ

BSΩ

N

N Cluster n

AoAmn ,,θ

, ,n m AoAΔ

,n AoAδ

MSΩ

MSθ

θv

BS array broadside

MS array broadside

Serving BS sector array

MS direction of travel

MS array

MPC m

v

Tri-sectorized MIMO BS

The FS MIMO Channel Model (2/4)Calculation of Channel Matrix H

Page 7: Improving MIMO spectral efficiency in 4G macro-cellular

7 | Lisbon, 29th October 2008

The FS MIMO Channel Model (3/4)The BS Antenna Model

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8 | Lisbon, 29th October 2008

The FS MIMO Channel Model (4/4)EigenAnalysis

Page 9: Improving MIMO spectral efficiency in 4G macro-cellular

9 | Lisbon, 29th October 2008

LTE MIMO FS Channel Spectral Efficiency (1/5)

Power Allocation Strategies:

Uniform

Spatial Water-fillingLTE System Bandwidth Efficiency

SNR Efficiency

MIMO Channel (Eigenvalues)Radio Link SNR (S/N)

LTE Transmission Bandwidth

It depends on:

Page 10: Improving MIMO spectral efficiency in 4G macro-cellular

10 | Lisbon, 29th October 2008

LTE MIMO FS Channel Spectral Efficiency (2/5)LTE Bandwidth Efficiency

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11 | Lisbon, 29th October 2008

LTE MIMO FS Channel Spectral Efficiency (3/5)LTE SNR Efficiency

LTE uses Adaptive

Modulation and Coding

(AMC).

SNR Efficiency will be

determined using curve

fitting over the LTE AMC

composite spectral

efficiency.

Page 12: Improving MIMO spectral efficiency in 4G macro-cellular

12 | Lisbon, 29th October 2008

LTE MIMO FS Channel Spectral Efficiency (4/5)LTE SNR Efficiency

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13 | Lisbon, 29th October 2008

LTE MIMO FS Channel Spectral Efficiency (5/5)Radio Link SNR (S/N)

SNR is actually a SINR…

SINR is dependent on

the network geometry,

retrieved by the Gfactor.

Gfactor CDF for Lisbon Radio Environment

Page 14: Improving MIMO spectral efficiency in 4G macro-cellular

14 | Lisbon, 29th October 2008

LTE Spectral Efficiency Expectation (1/2)

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15 | Lisbon, 29th October 2008

MIMO LTE Spectral Efficiency Expectation (2/2)

SISO spectral efficiency

is 1.24 bit/s/Hz.

MIMO spatial multiplexing

and waterfilling produces

a 92%, 169% and 235%

average gain for MIMO

2x2, 3x3 e 4x4 configs.

Page 16: Improving MIMO spectral efficiency in 4G macro-cellular

16 | Lisbon, 29th October 2008

ConclusionsThis paper studies the MIMO capacity enhancement considering

the UMTS DL LTE technology, for Lisbon Macro-cell RE.The MIMO spatial multiplexing concept is presented, and the

associated LTE downlink capacity is calculated including the effects of system bandwidth and SNR efficiency.

The SNR efficiency using AMC was approximated using curve fitting, where the used fitting function is an attenuated and truncated form of the Shannon bound.

Starting with a SISO spectral efficiency of 1.24 bit/s/Hz, MIMO spatial multiplexing and waterfilling produces a 92%, 169% and 235% average gain for MIMO 2x2, 3x3 e 4x4 configs.