Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Uplink MIMO–SDMA optimisation of smart antennas by phase–amplitude perturbations based on memetic algorithms for wireless and mobile communication systems

Uplink MIMO–SDMA optimisation of smart antennas by phase–amplitude perturbations based on memetic algorithms for wireless and mobile communication systems

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© The Institution of Engineering and Technology
Published

Based on phase–amplitude perturbation method, an innovative uplink multiple-input multiple-output spatial division multiple access (MIMO-SDMA) optimisation technique of smart antennas is proposed, where the deduced radiation pattern formulas available for searching optimal solutions are used to search the optimal weighting vector of the array factor of a smart antenna. The design for an optimal radiation pattern of an adaptive antenna can not only adjustably suppress interferers by placing nulls at the directions of the interfering sources but also provide a maximum main lobe in the direction of the desired signal at the same time, that is to maximise the signal to interference ratio. A new convergent method referred as the two-way convergent method for memetic algorithms is proposed to achieve this goal. A smart antenna is composed by several adaptive antennas. The smart antenna is implemented via using the adaptive beamforming technique. The characteristic is that the optimal radiation pattern design of smart antennas is studied by using phase–amplitude perturbation method to achieve MIMO-SDMA optimisation.

Inspec keywords: mobile radio; interference suppression; perturbation techniques; optimisation; MIMO communication; adaptive antenna arrays; antenna radiation patterns; space division multiple access; array signal processing

Other keywords: array factor; radiation pattern; spatial division multiple access; memetic algorithm; wireless system; interference suppression; two-way convergent method; uplink multiple-input multiple-output; MIMO-SDMA optimization technique; smart antenna; adaptive antenna; adaptive beamforming technique; phase-amplitude perturbation method; mobile communication system

Subjects: Signal processing and detection; Optimisation techniques; Antenna arrays; Multiple access communication; Mobile radio systems

References

    1. 1)
      • Knowles, J.D., Corne, D.W.: `M-PAES: a memetic algorithm for multiobjective optimization', Proc. IEEE Int. Conf. on Evolutionary Computation, 2000, 1, p. 325–332.
    2. 2)
      • C.H. Hsu , T.Y. Chen , J.S. Pan . Designing adaptive linear array antenna to achieve pattern steering optimization by phase-amplitude perturbations using genetic algorithms. Chin. J. Electron. , 1 , 125 - 129
    3. 3)
      • Freisleben, B., Merz, P.: `A genetic local search algorithm for solving symmetric and asymmetric travelling salesman problems', Proc. IEEE Int. Conf. on Evolutionary Computation, 1996, IEEE Press, p. 616–621.
    4. 4)
      • C.-H. Hsu , W.-J. Shyr . Memetic algorithms for optimizing adaptive linear array pattern by phase-position perturbations. Circuits Syst. Signal Process. , 4 , 327 - 341
    5. 5)
      • Ishibuchi, H., Murata, T.: `Multi-objective genetic local search algorithm', Proc. IEEE Int. Conf. on Evolutionary Computation, 1996, IEEE Press, p. 119–124.
    6. 6)
      • Morrow, J.D.: `MIMO antenna array design considerations for indoor applications', IEEE Antennas and Propagation Society Int. Symp. and USNC/URSI National Radio Science Meeting, 2005, , Washington, DC, USA.
    7. 7)
      • Lotter, M.P., van Rooyen, P.: `An overview of space division multiple access techniques in cellular systems', Proc. 1998 IEEE South African Symp. on Communications and Signal Processing, COMSIG'98, September 1998, University of Cape Town, Rondebosch, p. 161–164.
    8. 8)
      • Hsu, C.-H., Shyr, W.-J., Kuo, K.-H.: `Optimization designing of radiation pattern of linear adaptive antenna by phase-amplitude perturbations using a memetic algorithm', Int. Conf. on Computer, Communication and Control Technologies (CCCT 2004), 2004, 3, , Austin, TX, p. 42–47.
    9. 9)
      • C.X. Yu , Y.M. Chen , Y.F. Mu . Study on adaptive numerical analysis method for elastic problem. Int. J. Innov. Comput., Inf. Control , 2 , 227 - 236
    10. 10)
      • R.A. Monzingo , T.W. Miller . (1980) Introduction to adaptive arrays.
    11. 11)
      • Chen, Y.C., Shyr, W.J., Su, T.J., Wang, B.W.: `Memetic algorithm for adaptive infinite impulse response filtering', Proc. IEEE Int. Symp. on Intelligent Signal Processing and Communication Systems (ISPACS 2002), 2002, p. 1–5.
    12. 12)
      • J.H. Winters . Smart antenna for wireless systems. IEEE Pers. Commun. , 23 - 27.
    13. 13)
      • C.-H. Hsu , C.-H. Chen . Optimizing beam pattern of adaptively linear array antenna by phase perturbations using genetic algorithms. LNCS/LNAI , 929 - 936
    14. 14)
      • Hsu, C.H., Babij, T.M.: `Pattern nulling of adaptive antenna by phase and amplitude perturbations using genetic algorithm', Proc. KES-2001 5th Int. Conf. on Knowledge-Based Intelligent Information Engineering Systems and Technologies, 2001, , Osaca, Japan, p. 1047–1051, Part 2.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com_20050360
Loading

Related content

content/journals/10.1049/iet-com_20050360
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address