Date post: | 14-Jan-2016 |
Category: |
Documents |
Upload: | satyabrata-maiti |
View: | 7 times |
Download: | 0 times |
7/18/2019 Improved self optimized variable antenna array amplitude tapering scheme to Combat Cell Size Breathing in UMT…
http://slidepdf.com/reader/full/improved-self-optimized-variable-antenna-array-amplitude-tapering-scheme-to 1/6
Improved self optimized variable antenna array
amplitude tapering scheme to Combat Cell Size
Breathing in UMTS and CDMA Networks
Archiman Lahiry
School of Electronics Engineering
KIIT University
Bhubaneswar, India
Amlan Datta
School of Electronics Engineering
KIIT University
Bhubaneshwar, India
Satyabrata MaitiSchool of Electronics Engineering
KIIT University
Bhubaneswar, India
Abstract — Cell size breathing can lead to the generation of
coverage holes in UMTS and CDMA networks and solution to
this problem was proposed before in our previous contribution
with title OMC-R controlled remote electronic variable tapered
planar array antenna. The contribution of this paper is including
both horizontal and vertical antenna amplitude taper to combat
the effect of cell size breathing as foot print depends on
horizontal as well as vertical beam width. In this paper we willintroduce an improved version of antenna array tapering using
four Node-B sector antennas. In this paper we will optimize soft
as well as softer hand-off performance by controlling and varying
the vertical and horizontal antenna array amplitude taper
simultaneously with the increasing congestion. Our contribution
of this paper is to improve soft as well as softer hand-off
performance by using a remotely re-configurable amplitude
control antenna array in the self optimizing network.
Keywords— Array amplitude tapering, Antenna footprints, Cell
size breathing, self optimizing network
Introduction
We already introduced the hardware design for OMC-Rcontrolled remote antenna array amplitude tapering [1]. In that
paper only vertical antenna array taper was introduced to
combat cell size breathing but footprint depends on both
horizontal and vertical beam width. In our new proposed work
we will use four sectored Node-B antennas with both
horizontal and vertical antenna array variable amplitude taper
to combat the cell size breathing. Here 3×12 element antenna
array will be used to combat the effect of cell size breathing
with Dolph Tchebyshev [2] tapered amplitude distribution. In
this paper we will eliminate coverage holes in soft and softer
handoff regions by using the simultaneous vertical and
horizontal antenna array amplitude taper.
The paper is organized as follows: Section I describes the
details of antenna array design and radiation patterns. Section
II explains the effect of cell size breathing. Section III
explains the vertical and horizontal antenna array amplitude
tapering scheme for unequal loading of the sectors. Section
IV explains results and guidelines of the proposed technique.
I.
ANTENNA DESIGN AND RADIATION PATTERNS
Fig. 1. Planar 3×12 elements dipole antenna array design with vertical inter
element spacing 0.613 and horizontal inter element spacing 0.34 which is
backed by a ground plane. Antenna elements distance from Ground plane
0.6 .
TABLE I.ANTENNA ARRAY HORIZONTAL AND VERTICAL BEAMWIDTHS
AFTER THE HORIZONTAL AND VERTICAL ANTENNA ARRAY
AMPLITUDE TAPERING CONTROLLED FROM THE OMC-R.
Antenna array
amplitude
distributionand side lobe level
Vertical half power
beam width of 12element antenna array
with 0.613 inter
element spacing
Horizontal beam width
of 3 element antenna
array with 0.34 inter
element spacing
Normal amplitude
distribution with
Side Lobe Level -
13.5 dB
6.89º 54.35º
Tapered with SLL -
25dB8.13º 62.55º
Tapered with SLL -
30dB 8.73º 63.48º
Tapered with SLL -35 dB
9.25º 64.02º
Tapered with SLL -
40 dB9.76º 64.33º
Tapered with SLL -
45 dB10.20º 64.51º
2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN)
978-1-4799-5991-4/15/$31.00 ©2015 IEEE 77
DOI 10.1109/SPIN.2015.7095372
7/18/2019 Improved self optimized variable antenna array amplitude tapering scheme to Combat Cell Size Breathing in UMT…
http://slidepdf.com/reader/full/improved-self-optimized-variable-antenna-array-amplitude-tapering-scheme-to 2/6
Fig. 2. Linear plot of the vertical radiation pattern with normal amplitude
distribution with side lobe level -13.5 dB. Number of antenna elements is 12
and inter element spacing is 0.613 . Vertical beam width is 6.89 º.
Fig. 3. Linear plot of the horizontal radiation pattern of the antenna array with
inter element spacing 0.34 . Number of antenna elements is 3 and amplitudedistribution is normal. Half power beam width is 54.35º.
Antenna array is designed according to inter site distance
and morphology. Array tapering, side lobe suppression and
main lobe broadening values totally depends on the operating
frequency, morphology inter site distance and traffic density.
P-CPICH power should be properly adjusted for small
inter site distances to implement the following scheme as this
channel is not under power control. We should take care that
the tapering should not cause overshooting.
Fig. 4. Linear plot of the vertical radiation pattern with Dolph Tchebyshev
tapered amplitude distribution with side lobe level -25 dB. Half power beam
width is 8.13º.
Fig. 5. Linear plot of the vertical radiation pattern with Dolph Tchebyshev
tapered amplitude distribution with side lobe level -30 dB. Half power beam
width is 8.73º.
Antenna array amplitude control is a very excellent and
efficient method to combat cell size breathing [3] in UMTS or
CDMA network as the side lobe level and main lobe beamwidth can be controlled according to our requirements of
morphology which may be dense urban, urban or rural. We
should reduce the pilot power to avoid pilot pollution caused
due to overshooting cells. Antenna down tilt angles [4] should
be optimized properly to avoid overshooting.
2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN)
78
7/18/2019 Improved self optimized variable antenna array amplitude tapering scheme to Combat Cell Size Breathing in UMT…
http://slidepdf.com/reader/full/improved-self-optimized-variable-antenna-array-amplitude-tapering-scheme-to 3/6
Fig. 6. Linear plot of the vertical radiation pattern with Dolph Tchebyshevtapered amplitude distribution with side lobe level -35 dB. Half power beam
width is 9.25º.
Fig. 7 Linear plot of the vertical radiation pattern with Dolph Tchebyshev
tapered amplitude distribution with side lobe level -40 dB. Half power beamwidth is 9.76º.
Dolph Tchebyshev is best antenna array amplitude
tapering scheme for base station antennas as it suppress all the
side lobes to equal level. Suppressing side lobes will eliminate pilot pollution [5] and it will overlap the footprints of the cells
in soft and softer handoff regions.
Fig. 8. Linear plot of the vertical radiation pattern with Dolph Tchebyshevtapered amplitude distribution with side lobe level -45 dB. Half power beam
width is 10.20º.
Fig. 9. Antenna array horizontal pattern for -25 dB side lobe level with Dolph
Tchebyshev tapered amplitude distributions. HPBW is 62.55º.
Fig. 10. Antenna array horizontal pattern for -30 dB side lobe level with
Dolph Tchebyshev tapered amplitude distributions. HPBW is 63.48º.
2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN)
79
7/18/2019 Improved self optimized variable antenna array amplitude tapering scheme to Combat Cell Size Breathing in UMT…
http://slidepdf.com/reader/full/improved-self-optimized-variable-antenna-array-amplitude-tapering-scheme-to 4/6
Fig. 11. Antenna array horizontal pattern for -35 dB side lobe level withDolph Tchebyshev tapered amplitude distributions. HPBW is 64.02º.
Fig. 12. Antenna array horizontal pattern for -40 dB side lobe level withDolph Tchebyshev tapered amplitude distributions. HPBW is 64.33º.
Fig. 13. Antenna array horizontal pattern for -45 dB side lobe level with
Dolph Tchebyshev tapered amplitude distributions. HPBW is 64.51º.
All the radiation patterns from -13.5 dB side lobe level to -
45dB side lobe level are given in this section. The effects of
the cell size breathing will be analyzed in the next section and
after that we will propose the solution of the problem.
II.
ANTENNA FOOTPRINT ANALYSIS
In this section we will analyze the effect of cell breathing
in busy hour in the soft and softer handoff regions and then we
will propose the solution of the problem in next section.
Fig.14. Four sectored Node-B scheme for improving the softer handoff performance. The loading of four individual sectors are extremely low or
nearly zero percent.
Fig. 15 Effect of Node-B loading on the softer handoff regions. Here coverageholes are generated due to the loading.
In this section we will completely concentrate on the
effects of cell size breathing in both soft and softer handoffregions. Therefore with the increased antenna array tapering
we can easily eliminate all the coverage holes in soft and
softer handover regions. Horizontal antenna array amplitude
tapering will improve the softer handoff performance.
2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN)
80
7/18/2019 Improved self optimized variable antenna array amplitude tapering scheme to Combat Cell Size Breathing in UMT…
http://slidepdf.com/reader/full/improved-self-optimized-variable-antenna-array-amplitude-tapering-scheme-to 5/6
Vertical antenna array amplitude tapering will improve the
soft handoff performance.
Fig. 16. Case of two Node-B’s with soft and softer handoff regions with no
loading state.
Fig. 17 Case of two Node-B’s with soft and softer handoff regions with
heavily loaded sectors.
The Fig. 14, Fig. 15, Fig. 16 and Fig. 17 illustrates the
effect of cell site loading or cell size breathing in soft and
softer handoff regions. In next section we will propose the
solution for enhancing both soft and softer handoff
performance by applying vertical and horizontal antenna arrayamplitude tapering simultaneously.
III.
SOLUTION TO THE PROBLEM
The solution to the problem is increasing the side lobe
suppression in both horizontal and vertical directions
simultaneously to increase horizontal and vertical beam width
with the increased loading of each sector. This method will
increase the footprints in soft and softer handoff regions.
Based on antenna height, inter site distance and vertical beam
widths the antenna down tilt angles should be properly
measured to avoid pilot pollution. Antenna array tapering
effects will be analyzed in this section. The proposed method
is extremely effective in combating the cell size breathing inall kinds of morphology. The loading of all sectors are always
non uniform therefore tapering implemented in all the sectors
will also be non uniform based on loading of each sector.
Fig. 18. Horizontal variable amplitude tapering scheme to vary the horizontal beam width. The tapering is made proportional to loading. This will increase
inter sector footprint overlapping in softer handoff region.
Fig. 19. The vertical variable amplitude tapering scheme to vary the vertical beam width. The tapering is made proportional to loading. This will increase
inter site footprint overlapping in soft handoff region.
With the following technique we get excellent results. The
effect of the implemented scheme is illustrated in end of thissection. The contribution of this paper is on soft and softer
handoff performance enhancement. The main contribution of
this paper is application of reconfigurable remote amplitude
control antenna array for the footprint overlapping in soft and
2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN)
81
7/18/2019 Improved self optimized variable antenna array amplitude tapering scheme to Combat Cell Size Breathing in UMT…
http://slidepdf.com/reader/full/improved-self-optimized-variable-antenna-array-amplitude-tapering-scheme-to 6/6
softer handoff region. This is the extended version of our
published IEEE paper.
Fig. 20. The footprints before and after the antenna array amplitude tapering.
Red Boundary is after tapering and blue boundary is before tapering.
IV.
CONCLUSION
The contribution of paper is soft as well as softer handoff
performance enhancement. We solved the problem caused due
to loading in soft and softer handoff region by vertical and
horizontal variable antenna array amplitude tapering scheme
implemented simultaneously and final antenna array
amplitude tapering guideline is mentioned in the TABLE II.
TABLE II.
ARRAY TAPERING BASED ON MORPHOLOGY, PENETRATIONLOSS, TRAFFIC DENSITY AND THE PILOT CHANNEL POWER.
Morphology(Coverage
area type)
Building penetration
losses
Traffic
density(loading
or channel
utilization)
Side lobe
suppressionAccording to
Morphology,
Path loss, penetration
losses and
Traffic
density
Pilot
channel
(P-CPICH)
Power
DenseUrban
Maximum Maximum
Maximum
tapering orside lobe
suppression
Minimum
Urban Moderate Moderate
Moderate
tapering or
side lobesuppression
Moderate
Rural Minimum Minimum
Minimumtapering or
side lobe
suppression
Maximum
The scheme is automated from OMC-R. The technique is
implemented according to Node-B sector loading percentage
detected at OMC-R. Our contribution of this paper is to
improve the soft as well as the softer handoff performance.
We achieved the following performance by remotely tapering
the antenna array amplitudes simultaneously in both the
vertical and horizontal plane. We are able to counter the
effect of cell size breathing so effectively that no coverage
holes are generated in entire radio network. This method is
increasing the footprint overlapping in both soft as well assofter handoff regions. We have to carefully set the pilot
channel (P-CPICH) transmit power as mentioned in the table
II to avoid the chances of pilot pollution. We have to set the
pilot channel transmit power according to the inter-site
distance morphology and total no of subscribers in the cell site
coverage area. Traffic density and pilot channel transmit
power will have an inverse relationship. We will also vary the
side lobe suppression according to the morphology and traffic
density as mentioned in table II to counter the cell breathing
effectively.
The proposed technique is better than beam forming as the
foot increases uniformly in all the directions including soft and
softer handoff regions. We are using variable attenuators in
the transmission lines of all the antenna elements except thecentral elements of the antenna array to control the antenna
array amplitude taper remotely from OMC-R (operations and
maintenance center for radio) where the entire network’s radio
parameters are defined. OMC-R is the centralized database
from where we can detect the total loading of each and every
Node-B. We are making the process automated by defining an
algorithm at OMC-R to increase the antenna array amplitude
taper proportionally with the loading of each and every sector
of Node-B. This is the contribution related to the application
of a remotely reconfigurable amplitude control antenna in self
optimizing network to enhance the soft and softer handoff
performance.
R EFERENCES
[1] Archiman Lahiry, Sushanta Tripathy, Amlan Datta “ W-CDMA BusyHour Handoff Optimization using OMC-R Controlled Remote
Electronic Variable Tapered Planar Array”, Presented at 3rd IEEE
International Conference On Communication and Signal Processing
(ICCSP), 3-5 April, 2014, Melmaruvathur, Tamilnadu, India, pp.031-
035.
[2] Constantine A. Balanis, Antenna Theory Analysis and Design, Wiley
India Pvt. Ltd., Third Edition, 2012, pp. 331-346.
[3] Gilbert Micallef, Preben Mongensen, Hans-Otto-Scheck, “Cell size
breathing and possibilities to introduce cell sleep mode”, Presented at IEEE European wireless conference (EW), 12-15April, 2010, Lucca,
pp.111-115.
[4] Iana Siomona, “P-CPICH power and antenna tilt optimization in UMTSnetworks”, Presented at Telecommunications, 2005 advanced industrial
conference on telecommunications/service assurance with partial and
intermittent resources conference/e-learning on telecommunications workshop, 17-20 July, 2005, Lisbon, Portugal, pp.268 – 273.
[5] Jarno Neimela, Jukka Lempiamen, “Mitigation of pilot pollution through
base station antenna configuration in W-CDMA”, Presented at 60th IEEE Vehicular technology conference (volume: 6), 26-29 September,
2004, Los Angeles, CA, USA, pp. 4270-4274.
2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN)
82