ant challenges in cognitive radio

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Antenna Challenges in Cognitive Radio P.S. Hall, P. Gardner, J. Kelly, E. Ebrahimi, M.R. Hamid, and F. Ghanem University of Birmingham, UK.  [email protected] Keywords: Antennas, Cognitive Radio. Abstract The cognitive radio concept throws up significant challenges for antenna design. Whilst there are many possible ways in which such systems could be configured, the range of  possible antenna requirements is discussed, and some design approaches are outlined. Some demonstrator a ntennas are desc ribe d. Res ults for thr ee antennas, suit able f or small terminals, are given, in which integration into a single antenna of wideband and narrowband functionality, n ecessary for se arch and o perat ion res pect ively , is achiev ed. The  performance of these is finally compared to an array with  band switching, which may be useful in systems that require  both spatial and spectral discrimination. 1 Introd uc ti on A Cognitive radio is a wireless transponder that can sense the environment in which it wishes to operate and can adapt itself to optimise its operation. Sensing the environment may involve the measurement of the communications traffic and interference across a large part of the electromagnetic spectrum. The radio will also have knowledge of the intentions of its user, to enable it to match its searches to the needs of the user. Cognitive radio is also seen as an approach to ease the problem of the very crowded electromagnetic spectrum. For most use rs access to this spectrum is limited by international regulation. In this sense it is an approach which is linked to the so-called open or deregulated spectrum concept in which users have free access to any part of the spectrum, which will enable them to do what t hey want. There are severe difficulties in implementing this concept,  both from a system or network point of view and in the technology required to operate it. There will, of course, be a slow evolution towards it, and this means that initial systems will have to operate in an environment populated by two groups of sy stems; those that are regulated, and those that are allowed to operate as cognitive radios. In this case there are then serious inte rference problems that have to be controlled,  between so-called primary users, such as TV transmitters, and the secondary users, namely the cognitive radios searching for useable, or white, spectrum. Of course, there is in reality no such thing as white (or empty) spectrum, and it is the job of the cognitive radio to have a search facility that measures either the energy, or some feature, of the existing transmissions. Decisio ns are then taken about the operation of the radio, or more specifically about how much power can be transmitted without interfering with the primary user. In  principle then, the cognitive radio needs a search engine and an operating transponder. The search receiver will be designed to cover a very wide bandwidth, whilst the operating transponder could be narrow or wide band depending on the standard used. From a hardware point of view, cognitive radi o can be seen as an extension of the software radio paradigm. Software radio is a concept that has developed due to the enormous possibilities offered by modern signal processing. Wideband antennas could in principle be connected directly to analogue to digital converters and the digitised radio signal is processed. The  processor could contain all of the processing previously done using analogue RF and baseband circuits. The key advantage is that the processor can be reconfigured to change the standard that the radio is using, amongst the many that are now in use [1], and those predicted to emerge, such as the use of millimetric bands, [2]. Such flexibility is seen to be necessary to handle the increasing levels of wireless traffic,  particularly that produced by multimedia services. Software defined radio (SDR) is a subset of this, in which mixed chip architectures allow practical realisation but somewhat compromised performance. Reconfiguration is determined mainly by the network and spectrum allocation. Cognitive radio, [3-5], then takes the concept further by using model  based reasoning in the handset to give local control, with the advantage of ‘spectrum pooling’ giving greatly increased capacity. It has been suggested that a cognitive radio could access bands in the range of 30 MHz to 5.9 GHz, although a more realistic range is for example, 0.4 to 2.5 GHz, which would give an available spe ctrum of greater than 1.46 GHz, [3]. The advent of the UWB spectrum, from 3 to 10 GHz,  places both narrow and wide bands within the remit of cognitive radio and increases the challenge. This means that antenna bandwidths of the order of a decade are needed. We use the term wideband when refering to octave to decade  bandwidths. In addition if a software radio is to be used for narrowband channels such as GSM then some additional front end RF analogue components will be needed, such as filters and amplifiers.

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Page 1: ANT Challenges in Cognitive Radio

8/6/2019 ANT Challenges in Cognitive Radio

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Antenna Challenges in Cognitive Radio

P.S. Hall, P. Gardner, J. Kelly, E. Ebrahimi, M.R. Hamid, and F. Ghanem

University of Birmingham, UK.

 [email protected] 

Keywords: Antennas, Cognitive Radio.

Abstract

The cognitive radio concept throws up significant challengesfor antenna design. Whilst there are many possible ways in

which such systems could be configured, the range of  possible antenna requirements is discussed, and some design

approaches are outlined. Some demonstrator antennas aredescribed. Results for three antennas, suitable for smallterminals, are given, in which integration into a singleantenna of wideband and narrowband functionality, necessaryfor search and operation respectively, is achieved. The  performance of these is finally compared to an array with band switching, which may be useful in systems that require

 both spatial and spectral discrimination.

1 Introduction

A Cognitive radio is a wireless transponder that can sense theenvironment in which it wishes to operate and can adapt itself to optimise its operation. Sensing the environment mayinvolve the measurement of the communications traffic andinterference across a large part of the electromagneticspectrum. The radio will also have knowledge of the

intentions of its user, to enable it to match its searches to theneeds of the user. Cognitive radio is also seen as an approachto ease the problem of the very crowded electromagnetic

spectrum. For most users access to this spectrum is limited by

international regulation. In this sense it is an approach whichis linked to the so-called open or deregulated spectrumconcept in which users have free access to any part of the

spectrum, which will enable them to do what they want.

There are severe difficulties in implementing this concept,  both from a system or network point of view and in thetechnology required to operate it. There will, of course, be a

slow evolution towards it, and this means that initial systemswill have to operate in an environment populated by two

groups of systems; those that are regulated, and those that areallowed to operate as cognitive radios. In this case there arethen serious interference problems that have to be controlled,

 between so-called primary users, such as TV transmitters, andthe secondary users, namely the cognitive radios searching for 

useable, or white, spectrum. Of course, there is in reality nosuch thing as white (or empty) spectrum, and it is the job of the cognitive radio to have a search facility that measures

either the energy, or some feature, of the existingtransmissions. Decisions are then taken about the operation of the radio, or more specifically about how much power can be

transmitted without interfering with the primary user. In principle then, the cognitive radio needs a search engine andan operating transponder. The search receiver will bedesigned to cover a very wide bandwidth, whilst the operatingtransponder could be narrow or wide band depending on thestandard used.

From a hardware point of view, cognitive radio can be seen asan extension of the software radio paradigm. Software radio is

a concept that has developed due to the enormous possibilitiesoffered by modern signal processing. Wideband antennascould in principle be connected directly to analogue to digital

converters and the digitised radio signal is processed. The

 processor could contain all of the processing previously doneusing analogue RF and baseband circuits. The key advantageis that the processor can be reconfigured to change thestandard that the radio is using, amongst the many that arenow in use [1], and those predicted to emerge, such as the useof millimetric bands, [2]. Such flexibility is seen to be

necessary to handle the increasing levels of wireless traffic, particularly that produced by multimedia services. Softwaredefined radio (SDR) is a subset of this, in which mixed chiparchitectures allow practical realisation but somewhat

compromised performance. Reconfiguration is determinedmainly by the network and spectrum allocation. Cognitiveradio, [3-5], then takes the concept further by using model

 based reasoning in the handset to give local control, with theadvantage of ‘spectrum pooling’ giving greatly increasedcapacity. It has been suggested that a cognitive radio could

access bands in the range of 30 MHz to 5.9 GHz, although amore realistic range is for example, 0.4 to 2.5 GHz, whichwould give an available spectrum of greater than 1.46 GHz,[3]. The advent of the UWB spectrum, from 3 to 10 GHz,

  places both narrow and wide bands within the remit of cognitive radio and increases the challenge. This means thatantenna bandwidths of the order of a decade are needed. Weuse the term wideband when refering to octave to decade

 bandwidths. In addition if a software radio is to be used for narrowband channels such as GSM then some additional frontend RF analogue components will be needed, such as filters

and amplifiers.

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2 Cognitive Radio Architectures

In this section we review some published cognitive radioarchitecture concepts and consider in particular the

implications of these on the antenna requirements.

Cognitive radio networks can be categorised as those inwhich the decision making about spectrum allocation is made

locally by individual terminals or a group of terminals sharingdata, and those in which spectrum allocation is performed at acentral base station. These systems can then be further 

divided into:

A. Those which continuously monitor the spectrum usage in a

 process which runs in parallel with the communication link,as shown in Fig 1, and

B. Those which use a single channel for both spectrum

sensing and communication, as shown in Fig 2.

In category A, systems have been proposed that use two

antennas [6]. One antenna is wideband and omni-directional,feeding a receiver capable of both coarse and fine spectrumsensing over a broad bandwidth. The second antenna is

directional and feeds a frequency agile front end that can betuned to the selected band. Category A also includes single

antenna systems [7], where a single wideband antenna feeds  both the spectrum sensing modules and the frequency agilefront end.

In category B, spectrum sensing and radio reconfiguration are

 performed when the communication link quality falls belowdefined thresholds. In [8], two thresholds are used. Link quality falling below the first threshold triggers spectrum

sensing, so that a better system configuration can be identifiedthat will meet the link quality requirements. When the qualitydegrades below a second lower threshold, the system isreconfigured.

An important issue in the front end architecture is to limit theinstantaneous dynamic range to avoid non-linear distortion of 

signals in the wanted channel. Many authors envisage the useof tuneable filters to reduce interference and therefore limitthe dynamic range. Interference can also be limited by the

use of directional antenna properties. In [9], a simpleswitched pattern technique was described which could limitinterference from primary sources whilst maintainingcommunications between users in the local network,

enhanced by a multi-hop approach. In addition, the use of a

switched wide band directional antenna, combining spatialand spectral discrimination may also be useful.

Whether both of these techniques are used will depend onavailable space. In the case of a base station both spatial and

spectral sensing may be used, but in the case of handheldterminals it is likely that only spectral sensing may be possible.

These issues have been further discussed in [10].

There are significant antenna challenges in such systems.

In general wideband antennas are bigger than narrowbandones, which will be a significant problem for handsets

The design of wideband arrays for base stations givesgreat difficulties in element spacing.

  Narrowband antennas provide a degree of pass bandfiltering, which, by supplementing the filtering in the RFstages, provides control of the noise level, which is

mainly determined by interference.

The fundamental limits of electrically small antennas, interms of bounds on Q factor and gain, also limit theinstantaneous coverage that can be achieved. Combiningthese two bounds implies that an antenna with an

extremely wide band will be very inefficient, if it is small

compared to the wavelength. This will limit thesensitivity for search.

3 Novel Antenna Approaches

From the system considerations discussed above, we havechosen some novel antenna configurations and investigatedtheir feasibility. For small terminal applications we have

examined how

A narrow band and a wideband antenna may be

integrated into the same volume, and then

demonstrated how external tuning circuits can be

coarse / fine freq

sensing

band agile

comms front end

wideband

antenna

agile narrow or 

wide band

antenna

coarse / fine freq

sensing

band agile

comms front end

wideband

antenna

agile narrow or  

wide band

antenna

coarse / fine freqsensing

band agilecomms front end

wideband

antenna

coarse / fine freqsensing

band agilecomms front end

wideband

antenna

Fig 1 Cognitive radio architecture with parallel

sensing and communications

sensing + commsfront end

agile wideband /scanned narrowbandantenna

sensing + commsfront end

agile wideband /scanned narrowbandantenna

Fig 2 Cognitive radio architecture with combined

sensing and communications

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used to tune the narrow band antenna over the wide bandwidth.

To switch between wideband and narrowbandoperation

For these examples we have chosen the FCC UWB as our 

wide band and WLAN/WIMAX as our narrow band for somecases. The solutions shown may also be useful when thesetwo standards are combined into the same unit.

For base station applications, we have shown how a log  periodic dipole array can be band switched, to produce anagile wideband directive antenna.

3.1 Integrated wide-narrow band antenna

for switched operation

Fig 3 shows a wideband UWB monopole antenna integrated

with a microstrip patch antenna designed for operation around7.6 GHz. The patch is excited by a long microstrip line on theground plane. The ground plane for the patch itself is a

narrower extension of the lower ground, with horizontal slots.The lower slot, between the lower ground plane and the patchground plane, serves to isolate the patch ground plane, andtwo switches are located along its length as shown. Whenthese switches are closed the two ground planes areeffectively connected, and the combined structures operate asa narrowband patch radiator. When the switches are open then

the patch ground plane becomes part of the widebandmonopole, formed by the patch conductor. The upper slot inthe patch ground plane is necessary to remove a notch in the

wideband input return loss characteristic. Due to theintroduction of this slot, a third switch is also required. Theswitch positions affect the performance of the antenna and the positions shown give best results.

Fig 4 shows the measured and simulated return loss in the

wideband and narrow band modes. For the purpose of thisexperiment active switches were simulated using smallsquares of copper. It can be seen that in the wideband mode areturn loss better than -7 dB is obtained from 3.6 to 11 GHz.In the narrowband mode, return loss better than -10dB is

obtained over a 6.8% bandwidth at 7.6 GHz.

In this demonstrator, the patch was designed for 7.6 GHz, togive a physical size that was somewhat smaller than the

ground plane, whose dimensions were chosen to meet theUWB requirement. It is envisaged that narrowband operationin the 5 to 6 GHz WLAN range could be obtained by the use

of external matching circuits. For a cognitive radioapplication, tuning right across the UWB band could also beachieved using tuning circuits. Although this has not been

demonstrated on this antenna, it has on the antenna in the nextsection.

3.2 Integrated wide-narrow band antenna

for simultaneous operation

The previous section described an antenna that could beswitched between wide and narrowband operation. As thecognitive radio architectures are not yet fixed, it is useful to

see what can be achieved with regards to the integration of 

switches

Fig 3 Integrated wide-narrow band antenna for

switched operation

Fig 4 Input return loss of (top) wideband element,

switches open, (bottom) narrowband element, switches

closed

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wide and narrowband elements that can be usedsimultaneously. Fig 5 shows such an antenna.

The wideband element is an hour glass shaped monopole fed

 by a coplanar waveguide. On the other side of the substrate a

 planar inverted F antenna (PIFA), designed for operation at5.5 GHz, is configured to operate on a ground plane formed

 by the monopole. The short circuit connection for the PIFA is  placed at the opposite end of the patch to the feed, unlikeconventional PIFAs, and this was found necessary to get goodmatching. The feed of the PIFA crosses the gap between the

monopole and its ground plane and this possibly creates somereactive loading, which is compensated for through the designof the PIFA.

Fig 6 shows the input return loss of the antenna, measuredwith the other port matched. It can be seen that the widebandelement has a return loss below -7 dB over the band 3 to 10GHz. The narrowband port shows a return loss below -10 dB

over a 9.9% band at 5.2 GHz.

External matching circuits have been designed to tune thePIFA to three other frequencies in the UWB band, including

 both the lowest and highest frequencies, thus confirming thatsuch tuning is possible. Details of these circuits and their  performance will be given in the presentation.

One of the possibly important factors in the use of this sort of antenna in a cognitive radio is the out of band rejection of the

narrowband antenna. This rejection, in conjunction with other  parameters such as the rejection of the front end filter, will setthe receive sensitivity. If Fig 6 is compared with Fig 4, it isclear that both antennas have a good rejection below their 

operating band, but above it is less good. Our studies so far indicate that, in both antennas, the coupling of the narrow band element with the wideband element is significant, and isthus an important parameter for further study.

3 4 5 6 7 8 9 10 11-30

-25

-20

-15

-10

-5

0

Frequncy, GHz

   R  e   t  u  r  n   l  o  s  s ,

   d   B

UWB antenna

Narrowband patch antenna

Fig 6 Measured input return loss of integrated wide-

narrow band antenna for simultaneous operation

3.3 Switched wide-narrow band antenna

using external filter circuits

The two antennas described above were integrated; in that both wide and narrowband elements occupied the same space.However it was also noted that tuning the narrow bandelement across the wide band would require externalmatching circuits. It is also interesting to explore whether a

switched wide-narrow action can be obtained by externalelements using a single wideband radiator. Fig 7 shows suchan arrangement.

A disc monopole fed by a microstrip line is used as thewideband element. Two meandered slot resonators, located inthe ground plane, are configured to couple strongly with themicrostrip feed line {I think??}. This arrangement is similar 

to that of UWB monopole antennas with notches in theWLAN band, [11], but in this case the filters are configured

(a)

(b)

Fig 5 Integrated wide-narrowband antenna for

continuous operation(a) front view – wideband element,

(b) rear view – narrowband element

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to produce a pass band. If switches are placed across the slotsunder the feed line then the filter action can be switched in or out.

Fig 8 shows the measured and simulated results when the

filter is operating and when it is switched out usingmetallisation across the slots as can be seen in the right hand

 photograph. With the filter switched out the input return lossis less than -8 dB across the 3 to 10 GHz band. When thefilter is not shorted out then the input return loss is about 7 dBacross the 5 to 6 GHz band. Current work is aimed at

improving this match. However the rejection both above and below this narrow band is much better that in the integratedantennas above.

Fig 7 Switched wide-narrow band antenna using external

filter circuits(left) disc monopole, (right) switched filter circuit in ground

 plane

-40

-35

-30

-25

-20

-15

-10

-5

0

1 2 3 4 5 6 7 8 9 10 11 12

Freq (GHz)

   S   1   1   (   d   B   )

Fig 8 Measured and simulated input return loss of 

switched wide-narrow band antenna using external filter

circuitsUpper solid = measured with filter in, dotted = simulated with

filter in, lower solid = filter out

3.4 Band switched log periodic array

In systems that require both spatial and spectral

discrimination, then wideband directive antennas will beused. One candidate for this is the log periodic dipole array,

which could then be configured in a circular array to give allround coverage. If a search receiver, containing a tuneable  bandpass filter, is used for each array, it is possible that performance would be enhanced if the antenna was also band

tuneable. This has been demonstrated in [12], and the

  performance is shown again here, for comparison with thesmall antennas described above.

Fig 9 shows the 8 element dipole array that was fabricated as part of this study. The frequency range is 3 to 1 and in thiscase the 3 to 10 GHz band was scaled to 1 to 3 GHz to make

the construction easier. Switches are simulated with theabsence or presence of metallisation. Figs 10 and 11 show themeasured input return loss, with two sets of dipole switched

in, giving bandpass characteristics. It was found necessary tolocate switches on both arms of each dipole and in the feedline. Harmonic traps were also needed in the low frequencydipoles. Fig 10 shows switching for the bottom part of the

 band. Again rejection below the band is good, but poor above.This is assumed due to the radiative coupling between the lowand high frequency dipoles. This problem is also noticed in

Fig 11, but is less severe.

Fig 9 Switched log periodic dipole array [12]

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Fig 10 Measured input return loss of switched log periodic

dipole array with dipoles 5, 6 and 7 switched in

Fig 10 Measured input return loss of switched log periodic

dipole array with dipoles 2, 3 and 4 switched in

4 Conclusions

Architectures for cognitive radio have been reviewed andsome novel antennas were presented that demonstrate some of 

the features needed in this requirement. Antennas thatintegrate a wide and a narrowband element have been shown,that either allow simultaneous action or that are switchable. Aconcept for a wideband antenna with a switched filter to

achieve the same end is also given. In these small antennas

for terminal applications interaction between the wide andnarrowband elements is a considerable design difficulty and

this seems to result in reduced out of band rejection in thenarrowband element. This problem is also seen in a log periodic dipole array with bandpass switching. It is, however 

clear that there are a number of new configurations that offer some possibilities for use in cognitive radios.

5 Acknowledgements

This work is funded in part by EPSRC, grant referencenumber: EP/F017502/1. The authors are also grateful to the

University Technology Malaysia for PhD sponsorship for M.R. Hamid, and to FQRNT, Quebec for support of F Ghanem.

6 References

1. J. III Mitola, "Software radios: Survey, critical evaluationand future directions," IEEE Aerospace and ElectronicSystems Magazine, Volume 8, Issue 4, April 1993 pp. 25

- 36

2. D. Cabric; M.S.W. Chen; D.A. Sobel; Jing Yang; R.W.

Brodersen, "Future wireless systems: UWB, 60GHz, and

cognitive radios," IEEE Proceedings of the Custom

Integrated Circuits Conference, 18-21 Sept. 2005 pp 793 – 796

3. J. III Mitola, "Cognitive radio for flexible mobilemultimedia communications," IEEE Int. Workshop onMobile Multimedia Communications, 15-17 Nov. 1999,

 pp. 3 – 10

4. J. III Mitola; G.Q. Jr. Maguire, "Cognitive radio: makingsoftware radios more personal," Personal

Communications, IEEE Volume 6, Issue 4, Aug. 1999 pp. 13 – 18

5. F. Granelli; Honggang Zhang, "Cognitive ultra wide  band radio: a research vision and its open challenges,"2nd International Workshop on Networking with Ultra

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8. Harada, Hiroshi; “A Software Defined Cognitive RadioPrototype” PIMRC 2007. IEEE 18th InternationalSymposium on Personal, Indoor and Mobile Radio

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9. Di Taranto, R; Nishimori, K; Popovski, P; Yomo,;Takatori, Y; Prasad, R; Kubota, S; “Simple Antenna

Pattern Switching and Interference-Induced Multi-HopTransmissions for Cognitive Radio Networks“, DySPAN2007, 2nd IEEE International Symposium on NewFrontiers in Dynamic Spectrum Access Networks, . 17-20 April 2007, pp 543 – 546

10. Gardner P, Hamid R, Hall P S, Kelly J, Ghanem F andEbrahimi E, “ Reconfigurable antennas for cognitiveradio: Requirements and potential design approaches”,IET Seminar on Wideband /Multiband Antennas and

Arrays for Civil or Defence Applications, London, 13March 2008

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