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IOSR Journal of Electronics and Communication Engineering (IOSR-JECE)
e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 10, Issue 1, Ver. III (Jan - Feb. 2015), PP 49-56
www.iosrjournals.org
DOI: 10.9790/2834-10134956 www.iosrjournals.org 49 | Page
Fractal Reconfigurable Multiband Communicating Antenna for
Cognitive Radio
Y. Srinivas1
, Dr. N. V. Koteswara Rao2
1
Vignana Bharathi Institute of Technology, Ghatkesar, Hyderabad, India
2
Chaitanya Bharathi Institute of Technology, Hyderabad, India
1
srinivasy_99@yahoo.com , 2
nvkoteswararao@gmail.com
Abstract: A novel antenna structure is proposed by combining the concept of a reconfigurable and fractal with
the parasitic elements technique to obtain the multiband frequency reconfigurable antenna. Fractal antenna
with triangular slot is designed for operating at multiple frequencies. The integration of PIN diode switches to
the antenna changes the frequency of the antenna dynamically. This is done by changing the switch state to
either on or off mode. Proposed antenna is designed and simulated in HFSS and parametric analysis has been
carried out and fabricated on FR4 substrate. The electrical lengths are varied by operating switches on and off.
The proper activation/deactivation of the switches alters the current flow and changes resonance frequency.
This paper presents a fabricated compact fractal shaped frequency reconfigurable antenna for multiband
operation along with measured results. The proposed antenna is most suitable for Cognitive Radio.
Keywords: Reconfigurable antenna, Fractal antenna, HFSS, Cognitive radio
I. Introduction
Recent times, the explosive growth rate of subscriber base for the modern wireless communication
throws an important challenge on the spectrum management which is valuable and limited natural resource.
Cognitive Radio (CR) communication is one of the upcoming radio technologies for enhancing the performance
of radio communication systems through the efficient utilization of radio spectrum. A CR is a Software Defined
Radio (SDR) that additionally senses its environment, tracks changes, and reacts upon its findings [1],[2]. A CR
is an independent unit in a communications environment that frequently exchanges information with the
networks it is able to access as well as with other CRs. The antenna for CR should be able to sense wide band
spectrum and operate at various available frequencies, it is the combination of both wideband and frequency
reconfigurable antennas [3], [4].
Many researchers have been concentrating on designing antennas for cognitive radio in recent times. It
has been reported that the reconfigurable antennas with multiple switches are able to operate at multiple
frequencies and are suitable for cognitive radio secondary user which requires switching over to various
available frequencies. Secondary user also requires a wideband antenna for searching a wider band for available
primary user unused frequency band [5], [6]. Fractal shaped reconfigurable antennas have been suggested for
such applications with suitable slots to achieve such multi frequency operations [7].
Fractal antenna [8] provides miniaturization and has multi-band characteristics. These are composed of
multiple iterations of a single elementary shape and are used to describe a family of complex shapes that possess
an inherent self-similarity and self-affinity in their geometrical structure. Though these antennas reduce the size
and cost, but in case of communication system many applications are used that works at different frequency
band hence a single fractal antenna cannot be used to serve the purpose of the whole communication system. We
are of the opinion that reconfiguration concept can be applied to fractal and it will be a great advantage for
wireless communication system since it provides enhanced miniaturization in size of the overall communication
system as well as provides frequency selectivity.
This paper proposes a new fractal reconfigurable microstrip antenna design, based on a triangular
shaped fractal antenna with switches mounted at different slits cut on each triangle of patch antenna. The states
of the switches change the functionality of the antenna by allowing certain frequencies of operation. The
radiation patterns for different switching configurations are very similar.
II. Antenna Configuration And Design
The geometry of the proposed antenna is illustrated in Fig. 1.The antenna is printed on the FR4
substrate with thickness of 1.6mm, relative permittivity of 4.4 and dimension of 65 X 60mm.
It consists of a triangular patch with triangular shaped slot on the patch and full ground plane. The
antenna has side length of dimension of 41 mm and height is of 36mm. The width of the 50Ω microstrip feed
line with length of 11 mm is fixed at 3 mm. At first, in order to have three different resonance frequencies
without considering the switches in the design, slots have been inserted in the suitable position on the antenna
Fractal Reconfigurable Multiband Communicating Antenna for Cognitive Radio
DOI: 10.9790/2834-10134956 www.iosrjournals.org 50 | Page
patch. It is important to notice that the different orientation for each of the slots is for having lower mutual
coupling between the slots.
Exact position for the slots is achieved using a trial-and-error procedure. The width of all the slots is set
approximately to 1mm. The values of various parts of the slots are first set as aforementioned and to have good
matching and low cross-polarization level for all of the three resonances.
The exact place for the switches along the slots is selected somehow to change the slot length and so as
to have a slot matched in its nominal resonance frequency to 50Ω. The exact positions for switches in each slot
are found during the design procedure by various simulations with different positions for switches. Optimized
distances between slots for the top, right, and left triangles are 6mm, 4.27mm, and 4.36 mm respectively.
To implement the switches, a narrow metal strip is used inside of each slot. The metal strips are placed
1 mm from the edge of each slot, and in this method, no bias line or choke capacitance is needed to switch
between the bands. By turning diodes on, the metal strips are connected to the ground plane and become a part
of it. Therefore, the slot is shortened, and the related resonance is eliminated without any effects on the other
resonances. The antenna can have any combination of the mentioned four resonance frequencies, and this is
another novelty of this work.
Fig. 1 Geometry of Fractal reconfigurable multiband communicating antenna for Cognitive radio
(dimensions are in mm)
III. Antenna Performance
3.1 Simulation Results
The radiation performance of the proposed antenna shown in Fig.2 is simulated by using the High-
Frequency Structure Simulator (HFSS) software [9]. A PIN diode model is used to simulate the switches in
HFSS. The common way to model a PIN diode is that when the PIN diode is forward- biased, it is represented
by a metal tape, and when the PIN diode is reverse-biased, the metal tape will be removed [8]. However, when
PIN diodes are reverse biased, the measured bandwidths show a large variation in frequency as compared to
simulations. That is because in this condition the diode behaves like a capacitor. Accordingly, to accurately
model the behavior of a diode, another method is used in this paper, i.e. when the diode is forward-biased, it is
replaced by a resistor of 1Ω, and when the diode is reverse-biased, it is replaced by a capacitor of 0.35 pF,
referring to the datasheet of Philips BAP64-03. After simulations, the final geometry of the antenna with
detailed dimensions is shown in Fig.2. After successfully verifying the simulated results, the prototype is
fabricated, and its photograph is shown in Fig. 3.
Fractal Reconfigurable Multiband Communicating Antenna for Cognitive Radio
DOI: 10.9790/2834-10134956 www.iosrjournals.org 51 | Page
Fig. 2. Geometry of Simulated fractal reconfigurable multiband communicating antenna for Cognitive
radio
The resonant frequency of an antenna is heavily determined by the length of the current path.
Therefore, it is possible to adjust the length of the current path to change the resonant frequency of the antenna.
The modification of the depth of the slot in each triangle has a great influence on the current path. If the
switches are inserted in each slot, the resonant frequency of the antenna could be changed by controlling the
states of the switches.
Fig. 3 photograph of Fractal reconfigurable multiband communicating antenna for Cognitive radio
The simulated return loss curves with optimized depths of the slot and position of the switches in the
each triangle are illustrated in Fig.4. It has been observed that the resonant frequency of the proposed antenna is
affected by the depth of the slot. And with the increase of the depth of the slot, the resonant frequency decreases.
That is because the deeper the slot is, the longer the current path becomes.
The simulated return loss curves in various operating frequency bands are shown in Fig.4. From this
figure, it can be obviously observed that the proposed antenna can achieve the frequency reconfigurable
characteristic by changing the states of switches. When these switches are closed, the antenna operates at these
resonant frequencies 1.6633GHz, 5.2010GHz, 7.6333GHz, 9.4020GHz, 12.0402 GHz and input reflection
coefficient S11 for all the resonance frequencies are about -15dB.When these switches are opened, the antenna
resonant frequencies are shifted to 1.6080GHz, 5.0352GHz, 7.5226 GHz, 8.9045GHz, 10.6734GHz and detailed
reconfigurablity of resonance frequencies of each state of switches are as given in Table I. The states shown in
this table refer to the two diodes states such that the state of Switch I is the state for two diodes of slot 1 and 2 of
top triangle, the state of Switch II is the state for two diodes of slot 3 and 4 of right triangle, and the state for
Switch III refers to the states for diodes of slot 5 and 6 of left triangle.
These resonant frequencies of proposed antenna are covered in L,C and X bands. The impedance
bandwidths of the proposed reconfigurable antenna are about 40MHz in all operating frequency bands, which
illustrates the stability of impedance bandwidth in the frequency reconfigurable antenna.
The radiation patterns of the simulated antenna in the eight states are also studied. The simulated
radiation patterns in the XZ plane are shown in Fig.5. The similarity between the radiation patterns in the five
resonance frequencies is comparable in both E-plane and H-plane. It is also mentionable that the radiation
Fractal Reconfigurable Multiband Communicating Antenna for Cognitive Radio
DOI: 10.9790/2834-10134956 www.iosrjournals.org 52 | Page
pattern remains same when a frequency is reconfigured for different states of the switches (the diodes turn off or
on), which leads to the same pattern for the same resonance in different states. The maximum gain obtained at
frequency 7.6633GHz is 2 dBi, at frequency 5.1457GHz is 3dBi and at frequency 9.2362GHz it is 3dBi and gain
for all remaining frequencies is also about 2 dBi.
Table I: Proposed antenna simulated resonance frequencies for each state.
Fig. 4.a. Simulated S11 for the switching case State 1
Fig. 4.b. Simulated S11 for the switching case State 2
0.00 2.00 4.00 6.00 8.00 10.00 12.00
Freq [GHz]
-35.00
-30.00
-25.00
-20.00
-15.00
-10.00
-5.00
0.00
dB(S(1,1))
HFSSDesign1XY Plot 1 ANSOFT
m1
m4 m7
m9 STATE5
Curve Info
dB(S(1,1))
Setup1 : Sw eep
Name X Y
m1 1.6633 -32.0054
m4 5.1457 -18.7749
m7 10.7286 -18.6069
m8 12.0402 -16.6768
m9 7.7437 -28.4193
Switch I Switch II Switch III Resonance frequencies(GHz)
state
State 1 ON ON ON 1.6633,5.2010,7.6333,9.4020,12.0402
State 2 OFF OFF OFF 1.6080,5.0352,7.5226,8.9045,10.6734
State 3 ON ON OFF 1.6633,5.1457,7.6333,9.2362,10.6181
State 4 ON OFF OFF 1.6080,5.0905,7.799,9.0151,10.7286
State 5 ON OFF ON 1.633,5.2010,7.799,9.2360,10.9753
State 6 OFF ON ON 1.6633,5.2010,7.7437,9.2362
State 7 OFF OFF ON 1.6633,5.0905,7.6884,9.2090,11.0603
State 8 OFF ON OFF 1.633,5.0905,7.633,10.4523
Fractal Reconfigurable Multiband Communicating Antenna for Cognitive Radio
DOI: 10.9790/2834-10134956 www.iosrjournals.org 53 | Page
Fig. 4.c. Simulated S11 for the switching case State 5
Fig.4.d. Simulated S11 for the switching case State 7
Fig. 4.e. Simulated S11 for the switching case State 8
Fig. 4. Simulated S11 of the fractal antenna (communicating) for the various switching cases
0.00 2.00 4.00 6.00 8.00 10.00 12.00
Freq [GHz]
-37.50
-25.00
-12.50
0.00
dB(S(1,1))
HFSSDesign1XY Plot 1 ANSOFT
m1
m7
STATE5
m9
m4
Curve Info
dB(S(1,1))
Setup1 : Sw eep
Name X Y
m1 1.6633 -15.11...
m4 5.2010 -23.99...
m7 10.6181 -22.30...
m8 12.0402 -15.14...
m9 7.6884 -35.42...
0.00 2.00 4.00 6.00 8.00 10.00 12.00
Freq [GHz]
-35.00
-30.00
-25.00
-20.00
-15.00
-10.00
-5.00
0.00
dB(S(1,1))
HFSSDesign1XY Plot 1 ANSOFT
m1
m4
m7
m9
STATE 7
Curve Info
dB(S(1,1))
Setup1 : Sweep
Name X Y
m1 1.6633 -14.7222
m4 5.0905 -17.3168
m7 11.0603 -31.7082
m8 12.0402 -14.0696
m9 7.6884 -20.0953
0.00 2.00 4.00 6.00 8.00 10.00 12.00
Freq [GHz]
-30.00
-25.00
-20.00
-15.00
-10.00
-5.00
0.00
dB(S(1,1))
HFSSDesign1XY Plot 1 ANSOFT
m1
m4
m9
m7
STATE 8
Curve Info
dB(S(1,1))
Setup1 : Sw eep
Name X Y
m1 1.6633 -15.9542
m4 5.0905 -15.3260
m7 10.4523 -28.6425
m8 12.0402 -18.8812
m9 7.6332 -19.5010
Fractal Reconfigurable Multiband Communicating Antenna for Cognitive Radio
DOI: 10.9790/2834-10134956 www.iosrjournals.org 54 | Page
5.a. At 7.6633GHz.
5.b At 5.14572GHz.
5.c At 9.2362GHz.
5.d At 1.6633GHz.
Fig. 5. Radiation patterns of the communicating antenna at various resonance frequencies.
3.2. Experimental Results
In order to validate the simulation results, the proposed antenna has been fabricated for four switching
states by placing metal strips for ON state and absence of strips for OFF state. Fabricated antenna shown in Fig.
3 is tested and return loss was measured using Agilent N5230A vector network analyzer is shown in Fig.6. The
simulated values of the S11 of the final design shown in Fig. 4 are compared with the measured data shown in
-16.00
-12.00
-8.00
-4.00
90
60
30
0
-30
-60
-90
-120
-150
-180
150
120
HFSSDesign1Radiation Pattern 19 ANSOFT
Curve Info
dB(GainTotal)
Setup1 : Sw eep
Freq='7.633165829GHz' Phi='0deg'
-15.00
-10.00
-5.00
0.00
90
60
30
0
-30
-60
-90
-120
-150
-180
150
120
HFSSDesign1Radiation Pattern 20 ANSOFT
Curve Info
dB(GainTotal)
Setup1 : Sw eep
Freq='5.145728643GHz' Phi='0deg'
-15.00
-10.00
-5.00
0.00
90
60
30
0
-30
-60
-90
-120
-150
-180
150
120
HFSSDesign1Radiation Pattern 20 ANSOFT
Curve Info
dB(GainTotal)
Setup1 : Sw eep
Freq='5.145728643GHz' Phi='0deg'
-22.80
-19.60
-16.40
-13.20
90
60
30
0
-30
-60
-90
-120
-150
-180
150
120
HFSSDesign1Radiation Pattern 21 ANSOFT
Curve Info
dB(GainTotal)
Setup1 : Sw eep
Freq='1.663316583GHz' Phi='0deg'
Fractal Reconfigurable Multiband Communicating Antenna for Cognitive Radio
DOI: 10.9790/2834-10134956 www.iosrjournals.org 55 | Page
Fig. 7. It was found that, the simulated and measured results are in good agreement. The discrepancy between
the simulated and measured result might be attributed to the fabrication process.
Fig. 6. Experimental set up for fabricated antenna
Fig. 7. Measured S11 for switching Cases 1, 2, 5 and 7.
IV. Conclusion
A triangular shaped fractal reconfigurable communicating antenna is presented in this paper.
Simulation and test results suggest that fractal Reconfigurable antenna with multiple resonance frequencies in
the various bands can be used as communicating antenna for the cognitive radio. Multiple resonant frequencies
are achieved by triangular slot and reconfigurability is achieved by placing the switches in suitable location of
slits.
Fractal Reconfigurable Multiband Communicating Antenna for Cognitive Radio
DOI: 10.9790/2834-10134956 www.iosrjournals.org 56 | Page
References
[1]. J. Mitola et al., “Cognitive radio: Making software radios more personal,”IEEE Pers. Commun., vol. 6, no. 4, pp. 13–18, Aug. 1999
[2]. J. Mitola, “Cognitive radio: An integrated agent architecture for software defined radio,” Doctor of Technology, Royal Inst.
Technol. (KTH), Stockholm, Sweden, 2000.
[3]. Constantine A. Balanis, Antenna Theory: Analysis and Design, 2nd
Edition; John Wiley Sons Inc. New York, 2001
[4]. Y. Tawk, and C. G. Christodoulou, “A New reconfigurable antenna for cognitive radio communication’, IEEE Antennas and
wireless propagation letters, Dec. 2009.
[5]. M. Al-Husseini, Youssef Tawk, C.G.Christodoulou, K. Y. Kablan, “ A Reconfigurable Cognitive Radio Antenna Design” Proc.
IEEE International Symposium on Antenna and Propagation (APSURSI), June 2010 Toronto, Canada
[6]. M. A. Madi, M. Al-Husseini *, A. H. Ramadan, “A reconfigurable cedar-shaped microstrip Antenna for wireless applications”
Progress In Electromagnetics Research C, Vol. 25, 209-221, 2012
[7]. Ramadan, M. Al-Husseini, K.Y. Kalabalan, and A. El-Haji, “Fractal Shaped Reconfigurable Antennas” Microstrip Antennas, ISBN
978-953-307-247-0, InTech, April 2011
[8]. D. H. Werner and S. Ganguly, “An Overview of Fractal Antenna Engineering Research”, IEEE Antenna and wave
Propagation Magazine, vol. 45, no. 1, (2003) February
[9]. Ansoft High Frequency Structure Simulator (HFSS). ver. 11, Ansoft Corp., 2006.

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H010134956

  • 1. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 10, Issue 1, Ver. III (Jan - Feb. 2015), PP 49-56 www.iosrjournals.org DOI: 10.9790/2834-10134956 www.iosrjournals.org 49 | Page Fractal Reconfigurable Multiband Communicating Antenna for Cognitive Radio Y. Srinivas1 , Dr. N. V. Koteswara Rao2 1 Vignana Bharathi Institute of Technology, Ghatkesar, Hyderabad, India 2 Chaitanya Bharathi Institute of Technology, Hyderabad, India 1 srinivasy_99@yahoo.com , 2 nvkoteswararao@gmail.com Abstract: A novel antenna structure is proposed by combining the concept of a reconfigurable and fractal with the parasitic elements technique to obtain the multiband frequency reconfigurable antenna. Fractal antenna with triangular slot is designed for operating at multiple frequencies. The integration of PIN diode switches to the antenna changes the frequency of the antenna dynamically. This is done by changing the switch state to either on or off mode. Proposed antenna is designed and simulated in HFSS and parametric analysis has been carried out and fabricated on FR4 substrate. The electrical lengths are varied by operating switches on and off. The proper activation/deactivation of the switches alters the current flow and changes resonance frequency. This paper presents a fabricated compact fractal shaped frequency reconfigurable antenna for multiband operation along with measured results. The proposed antenna is most suitable for Cognitive Radio. Keywords: Reconfigurable antenna, Fractal antenna, HFSS, Cognitive radio I. Introduction Recent times, the explosive growth rate of subscriber base for the modern wireless communication throws an important challenge on the spectrum management which is valuable and limited natural resource. Cognitive Radio (CR) communication is one of the upcoming radio technologies for enhancing the performance of radio communication systems through the efficient utilization of radio spectrum. A CR is a Software Defined Radio (SDR) that additionally senses its environment, tracks changes, and reacts upon its findings [1],[2]. A CR is an independent unit in a communications environment that frequently exchanges information with the networks it is able to access as well as with other CRs. The antenna for CR should be able to sense wide band spectrum and operate at various available frequencies, it is the combination of both wideband and frequency reconfigurable antennas [3], [4]. Many researchers have been concentrating on designing antennas for cognitive radio in recent times. It has been reported that the reconfigurable antennas with multiple switches are able to operate at multiple frequencies and are suitable for cognitive radio secondary user which requires switching over to various available frequencies. Secondary user also requires a wideband antenna for searching a wider band for available primary user unused frequency band [5], [6]. Fractal shaped reconfigurable antennas have been suggested for such applications with suitable slots to achieve such multi frequency operations [7]. Fractal antenna [8] provides miniaturization and has multi-band characteristics. These are composed of multiple iterations of a single elementary shape and are used to describe a family of complex shapes that possess an inherent self-similarity and self-affinity in their geometrical structure. Though these antennas reduce the size and cost, but in case of communication system many applications are used that works at different frequency band hence a single fractal antenna cannot be used to serve the purpose of the whole communication system. We are of the opinion that reconfiguration concept can be applied to fractal and it will be a great advantage for wireless communication system since it provides enhanced miniaturization in size of the overall communication system as well as provides frequency selectivity. This paper proposes a new fractal reconfigurable microstrip antenna design, based on a triangular shaped fractal antenna with switches mounted at different slits cut on each triangle of patch antenna. The states of the switches change the functionality of the antenna by allowing certain frequencies of operation. The radiation patterns for different switching configurations are very similar. II. Antenna Configuration And Design The geometry of the proposed antenna is illustrated in Fig. 1.The antenna is printed on the FR4 substrate with thickness of 1.6mm, relative permittivity of 4.4 and dimension of 65 X 60mm. It consists of a triangular patch with triangular shaped slot on the patch and full ground plane. The antenna has side length of dimension of 41 mm and height is of 36mm. The width of the 50Ω microstrip feed line with length of 11 mm is fixed at 3 mm. At first, in order to have three different resonance frequencies without considering the switches in the design, slots have been inserted in the suitable position on the antenna
  • 2. Fractal Reconfigurable Multiband Communicating Antenna for Cognitive Radio DOI: 10.9790/2834-10134956 www.iosrjournals.org 50 | Page patch. It is important to notice that the different orientation for each of the slots is for having lower mutual coupling between the slots. Exact position for the slots is achieved using a trial-and-error procedure. The width of all the slots is set approximately to 1mm. The values of various parts of the slots are first set as aforementioned and to have good matching and low cross-polarization level for all of the three resonances. The exact place for the switches along the slots is selected somehow to change the slot length and so as to have a slot matched in its nominal resonance frequency to 50Ω. The exact positions for switches in each slot are found during the design procedure by various simulations with different positions for switches. Optimized distances between slots for the top, right, and left triangles are 6mm, 4.27mm, and 4.36 mm respectively. To implement the switches, a narrow metal strip is used inside of each slot. The metal strips are placed 1 mm from the edge of each slot, and in this method, no bias line or choke capacitance is needed to switch between the bands. By turning diodes on, the metal strips are connected to the ground plane and become a part of it. Therefore, the slot is shortened, and the related resonance is eliminated without any effects on the other resonances. The antenna can have any combination of the mentioned four resonance frequencies, and this is another novelty of this work. Fig. 1 Geometry of Fractal reconfigurable multiband communicating antenna for Cognitive radio (dimensions are in mm) III. Antenna Performance 3.1 Simulation Results The radiation performance of the proposed antenna shown in Fig.2 is simulated by using the High- Frequency Structure Simulator (HFSS) software [9]. A PIN diode model is used to simulate the switches in HFSS. The common way to model a PIN diode is that when the PIN diode is forward- biased, it is represented by a metal tape, and when the PIN diode is reverse-biased, the metal tape will be removed [8]. However, when PIN diodes are reverse biased, the measured bandwidths show a large variation in frequency as compared to simulations. That is because in this condition the diode behaves like a capacitor. Accordingly, to accurately model the behavior of a diode, another method is used in this paper, i.e. when the diode is forward-biased, it is replaced by a resistor of 1Ω, and when the diode is reverse-biased, it is replaced by a capacitor of 0.35 pF, referring to the datasheet of Philips BAP64-03. After simulations, the final geometry of the antenna with detailed dimensions is shown in Fig.2. After successfully verifying the simulated results, the prototype is fabricated, and its photograph is shown in Fig. 3.
  • 3. Fractal Reconfigurable Multiband Communicating Antenna for Cognitive Radio DOI: 10.9790/2834-10134956 www.iosrjournals.org 51 | Page Fig. 2. Geometry of Simulated fractal reconfigurable multiband communicating antenna for Cognitive radio The resonant frequency of an antenna is heavily determined by the length of the current path. Therefore, it is possible to adjust the length of the current path to change the resonant frequency of the antenna. The modification of the depth of the slot in each triangle has a great influence on the current path. If the switches are inserted in each slot, the resonant frequency of the antenna could be changed by controlling the states of the switches. Fig. 3 photograph of Fractal reconfigurable multiband communicating antenna for Cognitive radio The simulated return loss curves with optimized depths of the slot and position of the switches in the each triangle are illustrated in Fig.4. It has been observed that the resonant frequency of the proposed antenna is affected by the depth of the slot. And with the increase of the depth of the slot, the resonant frequency decreases. That is because the deeper the slot is, the longer the current path becomes. The simulated return loss curves in various operating frequency bands are shown in Fig.4. From this figure, it can be obviously observed that the proposed antenna can achieve the frequency reconfigurable characteristic by changing the states of switches. When these switches are closed, the antenna operates at these resonant frequencies 1.6633GHz, 5.2010GHz, 7.6333GHz, 9.4020GHz, 12.0402 GHz and input reflection coefficient S11 for all the resonance frequencies are about -15dB.When these switches are opened, the antenna resonant frequencies are shifted to 1.6080GHz, 5.0352GHz, 7.5226 GHz, 8.9045GHz, 10.6734GHz and detailed reconfigurablity of resonance frequencies of each state of switches are as given in Table I. The states shown in this table refer to the two diodes states such that the state of Switch I is the state for two diodes of slot 1 and 2 of top triangle, the state of Switch II is the state for two diodes of slot 3 and 4 of right triangle, and the state for Switch III refers to the states for diodes of slot 5 and 6 of left triangle. These resonant frequencies of proposed antenna are covered in L,C and X bands. The impedance bandwidths of the proposed reconfigurable antenna are about 40MHz in all operating frequency bands, which illustrates the stability of impedance bandwidth in the frequency reconfigurable antenna. The radiation patterns of the simulated antenna in the eight states are also studied. The simulated radiation patterns in the XZ plane are shown in Fig.5. The similarity between the radiation patterns in the five resonance frequencies is comparable in both E-plane and H-plane. It is also mentionable that the radiation
  • 4. Fractal Reconfigurable Multiband Communicating Antenna for Cognitive Radio DOI: 10.9790/2834-10134956 www.iosrjournals.org 52 | Page pattern remains same when a frequency is reconfigured for different states of the switches (the diodes turn off or on), which leads to the same pattern for the same resonance in different states. The maximum gain obtained at frequency 7.6633GHz is 2 dBi, at frequency 5.1457GHz is 3dBi and at frequency 9.2362GHz it is 3dBi and gain for all remaining frequencies is also about 2 dBi. Table I: Proposed antenna simulated resonance frequencies for each state. Fig. 4.a. Simulated S11 for the switching case State 1 Fig. 4.b. Simulated S11 for the switching case State 2 0.00 2.00 4.00 6.00 8.00 10.00 12.00 Freq [GHz] -35.00 -30.00 -25.00 -20.00 -15.00 -10.00 -5.00 0.00 dB(S(1,1)) HFSSDesign1XY Plot 1 ANSOFT m1 m4 m7 m9 STATE5 Curve Info dB(S(1,1)) Setup1 : Sw eep Name X Y m1 1.6633 -32.0054 m4 5.1457 -18.7749 m7 10.7286 -18.6069 m8 12.0402 -16.6768 m9 7.7437 -28.4193 Switch I Switch II Switch III Resonance frequencies(GHz) state State 1 ON ON ON 1.6633,5.2010,7.6333,9.4020,12.0402 State 2 OFF OFF OFF 1.6080,5.0352,7.5226,8.9045,10.6734 State 3 ON ON OFF 1.6633,5.1457,7.6333,9.2362,10.6181 State 4 ON OFF OFF 1.6080,5.0905,7.799,9.0151,10.7286 State 5 ON OFF ON 1.633,5.2010,7.799,9.2360,10.9753 State 6 OFF ON ON 1.6633,5.2010,7.7437,9.2362 State 7 OFF OFF ON 1.6633,5.0905,7.6884,9.2090,11.0603 State 8 OFF ON OFF 1.633,5.0905,7.633,10.4523
  • 5. Fractal Reconfigurable Multiband Communicating Antenna for Cognitive Radio DOI: 10.9790/2834-10134956 www.iosrjournals.org 53 | Page Fig. 4.c. Simulated S11 for the switching case State 5 Fig.4.d. Simulated S11 for the switching case State 7 Fig. 4.e. Simulated S11 for the switching case State 8 Fig. 4. Simulated S11 of the fractal antenna (communicating) for the various switching cases 0.00 2.00 4.00 6.00 8.00 10.00 12.00 Freq [GHz] -37.50 -25.00 -12.50 0.00 dB(S(1,1)) HFSSDesign1XY Plot 1 ANSOFT m1 m7 STATE5 m9 m4 Curve Info dB(S(1,1)) Setup1 : Sw eep Name X Y m1 1.6633 -15.11... m4 5.2010 -23.99... m7 10.6181 -22.30... m8 12.0402 -15.14... m9 7.6884 -35.42... 0.00 2.00 4.00 6.00 8.00 10.00 12.00 Freq [GHz] -35.00 -30.00 -25.00 -20.00 -15.00 -10.00 -5.00 0.00 dB(S(1,1)) HFSSDesign1XY Plot 1 ANSOFT m1 m4 m7 m9 STATE 7 Curve Info dB(S(1,1)) Setup1 : Sweep Name X Y m1 1.6633 -14.7222 m4 5.0905 -17.3168 m7 11.0603 -31.7082 m8 12.0402 -14.0696 m9 7.6884 -20.0953 0.00 2.00 4.00 6.00 8.00 10.00 12.00 Freq [GHz] -30.00 -25.00 -20.00 -15.00 -10.00 -5.00 0.00 dB(S(1,1)) HFSSDesign1XY Plot 1 ANSOFT m1 m4 m9 m7 STATE 8 Curve Info dB(S(1,1)) Setup1 : Sw eep Name X Y m1 1.6633 -15.9542 m4 5.0905 -15.3260 m7 10.4523 -28.6425 m8 12.0402 -18.8812 m9 7.6332 -19.5010
  • 6. Fractal Reconfigurable Multiband Communicating Antenna for Cognitive Radio DOI: 10.9790/2834-10134956 www.iosrjournals.org 54 | Page 5.a. At 7.6633GHz. 5.b At 5.14572GHz. 5.c At 9.2362GHz. 5.d At 1.6633GHz. Fig. 5. Radiation patterns of the communicating antenna at various resonance frequencies. 3.2. Experimental Results In order to validate the simulation results, the proposed antenna has been fabricated for four switching states by placing metal strips for ON state and absence of strips for OFF state. Fabricated antenna shown in Fig. 3 is tested and return loss was measured using Agilent N5230A vector network analyzer is shown in Fig.6. The simulated values of the S11 of the final design shown in Fig. 4 are compared with the measured data shown in -16.00 -12.00 -8.00 -4.00 90 60 30 0 -30 -60 -90 -120 -150 -180 150 120 HFSSDesign1Radiation Pattern 19 ANSOFT Curve Info dB(GainTotal) Setup1 : Sw eep Freq='7.633165829GHz' Phi='0deg' -15.00 -10.00 -5.00 0.00 90 60 30 0 -30 -60 -90 -120 -150 -180 150 120 HFSSDesign1Radiation Pattern 20 ANSOFT Curve Info dB(GainTotal) Setup1 : Sw eep Freq='5.145728643GHz' Phi='0deg' -15.00 -10.00 -5.00 0.00 90 60 30 0 -30 -60 -90 -120 -150 -180 150 120 HFSSDesign1Radiation Pattern 20 ANSOFT Curve Info dB(GainTotal) Setup1 : Sw eep Freq='5.145728643GHz' Phi='0deg' -22.80 -19.60 -16.40 -13.20 90 60 30 0 -30 -60 -90 -120 -150 -180 150 120 HFSSDesign1Radiation Pattern 21 ANSOFT Curve Info dB(GainTotal) Setup1 : Sw eep Freq='1.663316583GHz' Phi='0deg'
  • 7. Fractal Reconfigurable Multiband Communicating Antenna for Cognitive Radio DOI: 10.9790/2834-10134956 www.iosrjournals.org 55 | Page Fig. 7. It was found that, the simulated and measured results are in good agreement. The discrepancy between the simulated and measured result might be attributed to the fabrication process. Fig. 6. Experimental set up for fabricated antenna Fig. 7. Measured S11 for switching Cases 1, 2, 5 and 7. IV. Conclusion A triangular shaped fractal reconfigurable communicating antenna is presented in this paper. Simulation and test results suggest that fractal Reconfigurable antenna with multiple resonance frequencies in the various bands can be used as communicating antenna for the cognitive radio. Multiple resonant frequencies are achieved by triangular slot and reconfigurability is achieved by placing the switches in suitable location of slits.
  • 8. Fractal Reconfigurable Multiband Communicating Antenna for Cognitive Radio DOI: 10.9790/2834-10134956 www.iosrjournals.org 56 | Page References [1]. J. Mitola et al., “Cognitive radio: Making software radios more personal,”IEEE Pers. Commun., vol. 6, no. 4, pp. 13–18, Aug. 1999 [2]. J. Mitola, “Cognitive radio: An integrated agent architecture for software defined radio,” Doctor of Technology, Royal Inst. Technol. (KTH), Stockholm, Sweden, 2000. [3]. Constantine A. Balanis, Antenna Theory: Analysis and Design, 2nd Edition; John Wiley Sons Inc. New York, 2001 [4]. Y. Tawk, and C. G. Christodoulou, “A New reconfigurable antenna for cognitive radio communication’, IEEE Antennas and wireless propagation letters, Dec. 2009. [5]. M. Al-Husseini, Youssef Tawk, C.G.Christodoulou, K. Y. Kablan, “ A Reconfigurable Cognitive Radio Antenna Design” Proc. IEEE International Symposium on Antenna and Propagation (APSURSI), June 2010 Toronto, Canada [6]. M. A. Madi, M. Al-Husseini *, A. H. Ramadan, “A reconfigurable cedar-shaped microstrip Antenna for wireless applications” Progress In Electromagnetics Research C, Vol. 25, 209-221, 2012 [7]. Ramadan, M. Al-Husseini, K.Y. Kalabalan, and A. El-Haji, “Fractal Shaped Reconfigurable Antennas” Microstrip Antennas, ISBN 978-953-307-247-0, InTech, April 2011 [8]. D. H. Werner and S. Ganguly, “An Overview of Fractal Antenna Engineering Research”, IEEE Antenna and wave Propagation Magazine, vol. 45, no. 1, (2003) February [9]. Ansoft High Frequency Structure Simulator (HFSS). ver. 11, Ansoft Corp., 2006.