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Innovative Systems Design and Engineering                                                     www.iiste.org
ISSN 2222-1727 (Paper) ISSN 2222-2871 (Online)
Vol 3, No 2, 2012



                                   Smart Antennas in 4G
                                           Karthick Ramachandran S*
    Department of Information Technology, SSN College of Engineering, Kalavakkam, Chennai, India
    * E-mail of the corresponding author: karthick2102@yahoo.com


Abstract
“Smart Antenna” technology is one of the most vital developments in mobile communication.This paper
deals with the principle and working of smart antennas and the elegance of their applications in various
fields such a 4G -telephony system, best suitability of multi carrier modulations such as OFDMA etc., This
paper mainly concentrates on use of smart antennas in mobile communications that enhances the
capabilities of the mobile and cellular system such a faster bit rate, multi use interference, space division
multiplexing (SDMA), increase in range, Multi path Mitigation, reduction of errors due to multi path
fading and with one great advantage that is a very high security. The signal that is been transmitted by a
smart antenna cannot tracked or received any other antenna thus ensuring a very high security of the data
transmitted. This paper also deals the required algorithms that are need for the beam forming in the antenna
patters. The application of smart antennas such as in WI-FI transmitter , Discrete Multi Tone modulation
(DMT), OFDMA and TD-SCDMA is already in real world use is also incorporated in this paper.
Keywords: Multipath Fading, Beam forming basics, Switched Beam Antenna, SCDMA.
1. Introduction
A smart antenna is an array of elements connected to a digital signal processor. Such a configuration
dramatically enhances the capacity of a wireless link through a combination of diversity gain, array gain,
and interference suppression. Increased capacity translates to higher data rates for a given number of users
or more users for a given data rate per user. Figure 1 shows a comprehensive view of a smart antenna.
Multipath paths of propagation are created by reflections and scattering. Also, interference signals such as
that produced by the microwave oven in the picture, are superimposed on the desired signals.
Measurements suggest that each path is really a bundle or cluster of paths, resulting from surface roughness
or irregularities. The random gain of the bundle is called Multipath fading.
2. Principle
The smart antenna works as follows. Each antenna element "sees" each propagation path differently,
enabling the collection of elements to distinguish individual paths to within a certain resolution. As a
consequence, smart antenna transmitters can encode independent streams of data onto different paths or
linear combinations of paths, thereby increasing the data rate, or they can encode data redundantly onto
paths that fade independently to protect the receiver from catastrophic signal fades, thereby providing
diversity gain. A smart antenna receiver can decode the data from a smart antenna transmitter this is the
highest-performing configuration or it can simply provide array gain or diversity gain to the desired signals
transmitted from conventional transmitters and suppress the interference [1]. No manual placement of
antennas is required. The smart antenna electronically adapts to the environment.
3. Space Division Multiple Access (SDMA)
Filtering in the space domain separates spectrally and temporally overlapping signals from multiple MSs.
Thus, the spatial dimension can be exploited as a hybrid multiple access technique complementing existing
multiple access schemes such as frequency division multiple access (FDMA), TDMA, and CDMA. This
approach is usually referred to space division multiple access (SDMA). The realization of this filtering
technique is accomplished by using a smart antenna, which is capable of modifying its time, frequency, and

                                                     7
Innovative Systems Design and Engineering                                                      www.iiste.org
ISSN 2222-1727 (Paper) ISSN 2222-2871 (Online)
Vol 3, No 2, 2012


spatial response by means of the amplitude and phase weighting and the internal feedback control [4].
SDMA scheme enables multiple users within the same radio cell to be accommodated on the same
frequency or time slot. Thus, it will increase the system capacity significantly. The concept of the SDMA
scheme is demonstrated by TSUNAMI project. In comparison with a single beam antenna, the frequency
reuse is increased by a factor 4/3 using a four-beam antenna and of 12/3 by a 12-beam antenna. In Japan, a
six-beam satellite antenna is used for 22 GHz band Satellite broadcasting.
3.1 Beam Forming Basics
Beam forming is the term used to describe the application of weights to the inputs of an array of antennas to
focus the reception of the antenna array in a certain direction, called the look direction or the main lobe.
More importantly, other signals of the same carrier frequency from other directions can be rejected. These
effects are all achieved electronically and no physical movement of the receiving antennas is necessary. In
addition, multiple beam formers focused in different directions can share a single antenna array one set of
antennas can service multiple calls of the same carrier. It is no coincidence that the number of elements in
the above diagram equals the number of incoming signals. A beam former of L antenna elements is capable
of accepting one signal and reliably rejecting L-1 signals. A greater number of interfering signals will
diminish the performance of the beam former. Beam forming presents several advantages to antenna design.
Firstly, space division multiple access (SDMA) is achieved since a beamformer can steer its look direction
towards a certain signal. Other signals from different directions can reuse the same carrier frequency.
Figure 2 shows the beam that is formed out of a four element linear antenna array. Secondly, because the
beamformer is focused in a particular direction, the antenna sensitivity can be increased for a better signal
to noise ratio, especially when receiving weak signals. Thirdly, signal interference is reduced due to the
rejection of undesired signals. For the uplink case of transmitting from the antenna array to a mobile
telephone, system interference is reduced since the signal is only transmitted in the look direction. A digital
beamformer is one that operates in the digital domain. Traditionally, beam formers were implemented in
analog; the weights were determined and applied to the antenna inputs via analog circuitry. With digital
beam forming, the antenna signals are individually translated from Radio Frequencies (RF) to Intermediate
Frequencies (IF), digitized and then down-converted to base-band I and Q components [3]. A beam forming
algorithm implemented on one or more digital signal processors then processes the I and Q components to
determine a set of weights for the input signals. The input signals are then multiplied by the weights and
summed to output the signal of interest (SOI).
One of the foremost advantages offered by the software radio technology is flexibility [5]. Because beam
forming is implemented in software, it is possible to investigate a wide range of beam forming algorithms
without the need to modify the system hardware for every algorithm. Consequently, researchers can focus
their efforts on improving the performance of the beam forming algorithms rather than on designing new
hardware, which can be a very expensive and time consuming process. A complete description of the RLS
algorithm can be found in. This algorithm was chosen for its fast convergence rate and ability to process the
input signal before demodulation. Figure 3 shows the significance of smart antennas.
4. Switched-Beam Antenna
It is possible, using array antennas, to create a group of overlapping beams that together result in omni
directional coverage. It is the simplest technique, and comprises only a basic switching function between
separate directive antennas or predefined beams of an array. Beam-switching algorithms and RF
signal-processing software are incorporated in smart antenna designs. For each call, software algorithms
determine the beams that maintain the highest quality signal and the system continuously updates beam
selection, ensuring that customers get optimal quality for the duration of their call. One might design
overlapping beam patterns pointing in slightly different directions similar to the ones shown in figure.
Figure 4 contemplates on the beam patterns for the cover of the earth surface.
5. Application in Mobile Communications
A space-time processor (smart ‘antenna’) is capable of forming transmit/receive beams towards the mobile
                                                      8
Innovative Systems Design and Engineering                                                      www.iiste.org
ISSN 2222-1727 (Paper) ISSN 2222-2871 (Online)
Vol 3, No 2, 2012


of interest. At the same time it is possible to place spatial nulls in the direction of unwanted interferences.
This capability can be used to improve the performance of a mobile communication system.
5.1Increased Antenna Gain
The ’smart’ antenna forms transmit and receive beams. Therefore, the ’smart’ antenna has a higher gain than
a conventional omni-directional antenna. The higher gain can be used to either increase the effective
coverage, or to increase the receiver sensitivity, which in turn can be exploited to reduce transmit power
and electromagnetic Radiation in the network [2].
5.2 Decreased inter symbol interference
Multipath propagation in mobile radio environments leads to ISI. Using transmit and receive beams that are
directed towards the mobile of interest reduces the amount of Multipath and ISI. Figure 5 shows the
interference reduction.
6. Spatial Structure Methods
As mentioned before, spatial structure methods exploit the information in the steering vector.. The spatial
structure is used to estimate the direction of arrivals (DOAs) of the signals impinging on the sensor array.
The estimated directions of arrivals are then used to determine the weights in the pattern forming network.
This is called beam forming. Spatial structure methods only exploit spatial structure and training signals
and the temporal structure of the signals is ignored. In the following an overview will be given about the
three main spatial structure methods, namely conventional beam forming methods, maximum likelihood
estimation and the so-called subspace-based methods. For simplicity, the vector channel model used here
(and everywhere in the array processing literature for spatial structure methods) is a spatial-only vector
channel. Figure 6 shows a perspective view of the TD-SCDMA Smart Antenna.
7. Conclusion
In conclusion to this paper “Smart Antenna” systems are the antennas with intelligence and the radiation
pattern can be varied without being mechanically changed. With appropriate adaptive algorithms such as
Recursive Least Square Algorithm (RLS) the beam forming can be obtained. As the system uses a DSP
processor the signals can be processed digitally and the performance is with a high data rate transmission
and good reduction of mutual signal interference.
References
[1] T.A. Denidni, and G.Y. Delisle, (1995), “A nonlinear algorithm for output power maximization of indoor
adaptive phased array”, IEEE Trans. Electromagnetic Compatibility, 37(2), 201-209.
[2] S. Choi, and D. Yun, (1997), “Design of adaptive antenna array for tracking the source of maximum
power and its application to CDMA mobile communications,” IEEE Trans. Antennas. Propagat., 45(9),
1393-1404.
[3] S. Ahn, S. Choi, and T. K. Sarkar, (2001), "An Adaptive Beamforming Algorithm with a Linear
complexity for a Multipath Fading CDMA Channel", IEICE Trans. On Communication, E84-B(8),
2317-2320.
[4] F.Adachi, M.Sawahashi, and H.Suda, (1998), “Wideband DS-CDMA for next-generation mobile
communications systems,” IEEE Commun.Mag., 56-69.
[5] G. V. Tsoulos, (1999), "Smart Antennas for Mobile Communication Systems", Electronics and
Communication Enginnering Journal, 11(2), 84-94.
Biodata
Place Of Birth: Chennai, Date Of Birth: 21/02/1991
I am currently pursuing my B.Tech final semester in SSN College of Engineering
Major: Information Technology
City: Chennai
State: Tamil Nadu
Country: India


                                                      9
Innovative Systems Design and Engineering                                                  www.iiste.org
ISSN 2222-1727 (Paper) ISSN 2222-2871 (Online)
Vol 3, No 2, 2012


I will be finishing my B.Tech course in May 2012. Regarding my presentations , I have presented a paper in
the Regional Annual Fundamental Science Symposium in Malaysia and I am contemplating on two more
papers regarding networks and mathematics. I am also a member of the International Association of
Computer Science and Information Technology (IACSIT).




                            Figure 1 . Comprehensive view of a smart antenna




                                       Figure 2 . Beam Formation




                                Figure 3 . Significance of smart antennas

                                                   10
Innovative Systems Design and Engineering                                          www.iiste.org
ISSN 2222-1727 (Paper) ISSN 2222-2871 (Online)
Vol 3, No 2, 2012




                     Figure 4 . Beam Patterns for the cover of the earth surface




                                  Figure 5 . Interference reduction




                                                 11
Innovative Systems Design and Engineering                   www.iiste.org
ISSN 2222-1727 (Paper) ISSN 2222-2871 (Online)
Vol 3, No 2, 2012




Figure 6 . Perspective View of the TD-SCDMA Smart Antenna




                                               12

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Smart antennas in 4 g

  • 1. Innovative Systems Design and Engineering www.iiste.org ISSN 2222-1727 (Paper) ISSN 2222-2871 (Online) Vol 3, No 2, 2012 Smart Antennas in 4G Karthick Ramachandran S* Department of Information Technology, SSN College of Engineering, Kalavakkam, Chennai, India * E-mail of the corresponding author: karthick2102@yahoo.com Abstract “Smart Antenna” technology is one of the most vital developments in mobile communication.This paper deals with the principle and working of smart antennas and the elegance of their applications in various fields such a 4G -telephony system, best suitability of multi carrier modulations such as OFDMA etc., This paper mainly concentrates on use of smart antennas in mobile communications that enhances the capabilities of the mobile and cellular system such a faster bit rate, multi use interference, space division multiplexing (SDMA), increase in range, Multi path Mitigation, reduction of errors due to multi path fading and with one great advantage that is a very high security. The signal that is been transmitted by a smart antenna cannot tracked or received any other antenna thus ensuring a very high security of the data transmitted. This paper also deals the required algorithms that are need for the beam forming in the antenna patters. The application of smart antennas such as in WI-FI transmitter , Discrete Multi Tone modulation (DMT), OFDMA and TD-SCDMA is already in real world use is also incorporated in this paper. Keywords: Multipath Fading, Beam forming basics, Switched Beam Antenna, SCDMA. 1. Introduction A smart antenna is an array of elements connected to a digital signal processor. Such a configuration dramatically enhances the capacity of a wireless link through a combination of diversity gain, array gain, and interference suppression. Increased capacity translates to higher data rates for a given number of users or more users for a given data rate per user. Figure 1 shows a comprehensive view of a smart antenna. Multipath paths of propagation are created by reflections and scattering. Also, interference signals such as that produced by the microwave oven in the picture, are superimposed on the desired signals. Measurements suggest that each path is really a bundle or cluster of paths, resulting from surface roughness or irregularities. The random gain of the bundle is called Multipath fading. 2. Principle The smart antenna works as follows. Each antenna element "sees" each propagation path differently, enabling the collection of elements to distinguish individual paths to within a certain resolution. As a consequence, smart antenna transmitters can encode independent streams of data onto different paths or linear combinations of paths, thereby increasing the data rate, or they can encode data redundantly onto paths that fade independently to protect the receiver from catastrophic signal fades, thereby providing diversity gain. A smart antenna receiver can decode the data from a smart antenna transmitter this is the highest-performing configuration or it can simply provide array gain or diversity gain to the desired signals transmitted from conventional transmitters and suppress the interference [1]. No manual placement of antennas is required. The smart antenna electronically adapts to the environment. 3. Space Division Multiple Access (SDMA) Filtering in the space domain separates spectrally and temporally overlapping signals from multiple MSs. Thus, the spatial dimension can be exploited as a hybrid multiple access technique complementing existing multiple access schemes such as frequency division multiple access (FDMA), TDMA, and CDMA. This approach is usually referred to space division multiple access (SDMA). The realization of this filtering technique is accomplished by using a smart antenna, which is capable of modifying its time, frequency, and 7
  • 2. Innovative Systems Design and Engineering www.iiste.org ISSN 2222-1727 (Paper) ISSN 2222-2871 (Online) Vol 3, No 2, 2012 spatial response by means of the amplitude and phase weighting and the internal feedback control [4]. SDMA scheme enables multiple users within the same radio cell to be accommodated on the same frequency or time slot. Thus, it will increase the system capacity significantly. The concept of the SDMA scheme is demonstrated by TSUNAMI project. In comparison with a single beam antenna, the frequency reuse is increased by a factor 4/3 using a four-beam antenna and of 12/3 by a 12-beam antenna. In Japan, a six-beam satellite antenna is used for 22 GHz band Satellite broadcasting. 3.1 Beam Forming Basics Beam forming is the term used to describe the application of weights to the inputs of an array of antennas to focus the reception of the antenna array in a certain direction, called the look direction or the main lobe. More importantly, other signals of the same carrier frequency from other directions can be rejected. These effects are all achieved electronically and no physical movement of the receiving antennas is necessary. In addition, multiple beam formers focused in different directions can share a single antenna array one set of antennas can service multiple calls of the same carrier. It is no coincidence that the number of elements in the above diagram equals the number of incoming signals. A beam former of L antenna elements is capable of accepting one signal and reliably rejecting L-1 signals. A greater number of interfering signals will diminish the performance of the beam former. Beam forming presents several advantages to antenna design. Firstly, space division multiple access (SDMA) is achieved since a beamformer can steer its look direction towards a certain signal. Other signals from different directions can reuse the same carrier frequency. Figure 2 shows the beam that is formed out of a four element linear antenna array. Secondly, because the beamformer is focused in a particular direction, the antenna sensitivity can be increased for a better signal to noise ratio, especially when receiving weak signals. Thirdly, signal interference is reduced due to the rejection of undesired signals. For the uplink case of transmitting from the antenna array to a mobile telephone, system interference is reduced since the signal is only transmitted in the look direction. A digital beamformer is one that operates in the digital domain. Traditionally, beam formers were implemented in analog; the weights were determined and applied to the antenna inputs via analog circuitry. With digital beam forming, the antenna signals are individually translated from Radio Frequencies (RF) to Intermediate Frequencies (IF), digitized and then down-converted to base-band I and Q components [3]. A beam forming algorithm implemented on one or more digital signal processors then processes the I and Q components to determine a set of weights for the input signals. The input signals are then multiplied by the weights and summed to output the signal of interest (SOI). One of the foremost advantages offered by the software radio technology is flexibility [5]. Because beam forming is implemented in software, it is possible to investigate a wide range of beam forming algorithms without the need to modify the system hardware for every algorithm. Consequently, researchers can focus their efforts on improving the performance of the beam forming algorithms rather than on designing new hardware, which can be a very expensive and time consuming process. A complete description of the RLS algorithm can be found in. This algorithm was chosen for its fast convergence rate and ability to process the input signal before demodulation. Figure 3 shows the significance of smart antennas. 4. Switched-Beam Antenna It is possible, using array antennas, to create a group of overlapping beams that together result in omni directional coverage. It is the simplest technique, and comprises only a basic switching function between separate directive antennas or predefined beams of an array. Beam-switching algorithms and RF signal-processing software are incorporated in smart antenna designs. For each call, software algorithms determine the beams that maintain the highest quality signal and the system continuously updates beam selection, ensuring that customers get optimal quality for the duration of their call. One might design overlapping beam patterns pointing in slightly different directions similar to the ones shown in figure. Figure 4 contemplates on the beam patterns for the cover of the earth surface. 5. Application in Mobile Communications A space-time processor (smart ‘antenna’) is capable of forming transmit/receive beams towards the mobile 8
  • 3. Innovative Systems Design and Engineering www.iiste.org ISSN 2222-1727 (Paper) ISSN 2222-2871 (Online) Vol 3, No 2, 2012 of interest. At the same time it is possible to place spatial nulls in the direction of unwanted interferences. This capability can be used to improve the performance of a mobile communication system. 5.1Increased Antenna Gain The ’smart’ antenna forms transmit and receive beams. Therefore, the ’smart’ antenna has a higher gain than a conventional omni-directional antenna. The higher gain can be used to either increase the effective coverage, or to increase the receiver sensitivity, which in turn can be exploited to reduce transmit power and electromagnetic Radiation in the network [2]. 5.2 Decreased inter symbol interference Multipath propagation in mobile radio environments leads to ISI. Using transmit and receive beams that are directed towards the mobile of interest reduces the amount of Multipath and ISI. Figure 5 shows the interference reduction. 6. Spatial Structure Methods As mentioned before, spatial structure methods exploit the information in the steering vector.. The spatial structure is used to estimate the direction of arrivals (DOAs) of the signals impinging on the sensor array. The estimated directions of arrivals are then used to determine the weights in the pattern forming network. This is called beam forming. Spatial structure methods only exploit spatial structure and training signals and the temporal structure of the signals is ignored. In the following an overview will be given about the three main spatial structure methods, namely conventional beam forming methods, maximum likelihood estimation and the so-called subspace-based methods. For simplicity, the vector channel model used here (and everywhere in the array processing literature for spatial structure methods) is a spatial-only vector channel. Figure 6 shows a perspective view of the TD-SCDMA Smart Antenna. 7. Conclusion In conclusion to this paper “Smart Antenna” systems are the antennas with intelligence and the radiation pattern can be varied without being mechanically changed. With appropriate adaptive algorithms such as Recursive Least Square Algorithm (RLS) the beam forming can be obtained. As the system uses a DSP processor the signals can be processed digitally and the performance is with a high data rate transmission and good reduction of mutual signal interference. References [1] T.A. Denidni, and G.Y. Delisle, (1995), “A nonlinear algorithm for output power maximization of indoor adaptive phased array”, IEEE Trans. Electromagnetic Compatibility, 37(2), 201-209. [2] S. Choi, and D. Yun, (1997), “Design of adaptive antenna array for tracking the source of maximum power and its application to CDMA mobile communications,” IEEE Trans. Antennas. Propagat., 45(9), 1393-1404. [3] S. Ahn, S. Choi, and T. K. Sarkar, (2001), "An Adaptive Beamforming Algorithm with a Linear complexity for a Multipath Fading CDMA Channel", IEICE Trans. On Communication, E84-B(8), 2317-2320. [4] F.Adachi, M.Sawahashi, and H.Suda, (1998), “Wideband DS-CDMA for next-generation mobile communications systems,” IEEE Commun.Mag., 56-69. [5] G. V. Tsoulos, (1999), "Smart Antennas for Mobile Communication Systems", Electronics and Communication Enginnering Journal, 11(2), 84-94. Biodata Place Of Birth: Chennai, Date Of Birth: 21/02/1991 I am currently pursuing my B.Tech final semester in SSN College of Engineering Major: Information Technology City: Chennai State: Tamil Nadu Country: India 9
  • 4. Innovative Systems Design and Engineering www.iiste.org ISSN 2222-1727 (Paper) ISSN 2222-2871 (Online) Vol 3, No 2, 2012 I will be finishing my B.Tech course in May 2012. Regarding my presentations , I have presented a paper in the Regional Annual Fundamental Science Symposium in Malaysia and I am contemplating on two more papers regarding networks and mathematics. I am also a member of the International Association of Computer Science and Information Technology (IACSIT). Figure 1 . Comprehensive view of a smart antenna Figure 2 . Beam Formation Figure 3 . Significance of smart antennas 10
  • 5. Innovative Systems Design and Engineering www.iiste.org ISSN 2222-1727 (Paper) ISSN 2222-2871 (Online) Vol 3, No 2, 2012 Figure 4 . Beam Patterns for the cover of the earth surface Figure 5 . Interference reduction 11
  • 6. Innovative Systems Design and Engineering www.iiste.org ISSN 2222-1727 (Paper) ISSN 2222-2871 (Online) Vol 3, No 2, 2012 Figure 6 . Perspective View of the TD-SCDMA Smart Antenna 12