Abstract
System capacity and antenna placement play crucial roles in wireless communication systems, and they are of great value to network planning. In this paper, we are motivated to analyze the system capacity and optimize the antenna placement in distributed antenna systems. This paper establishes a composite channel model which takes path loss, lognormal shadowing and Rayleigh fading into consideration. To reduce the computational complexity, an approximate theoretical expression of system capacity is derived with selective transmission at the transmitter and maximal ratio combining at the receiver. An antenna placement optimization problem is formulated, and then a genetic algorithm (GA) based searching scheme is proposed to solve the proposed optimization problem. The computational complexity analysis indicates that the proposed GA-based searching scheme is computationally efficient in terms of both running time and storage space. Numerical results show that the approximate theoretical expression of system capacity can provide a very good approximation to the simulation results, and the proposed GA-based searching scheme for solving the antenna placement optimization problem can consistently offer a large capacity gain over other existing schemes.
Similar content being viewed by others
References
Zhu H. (2011) Performance comparison between distributed antenna and microcellular systems. IEEE Journal on Selected Areas in Communications 29(6): 1151–1163
Chen H.-M., Wang J.-B., Chen M. (2011) Outage capacity study of the distributed MIMO system with antenna cooperation. Wireless Personal Communications 59(4): 599–605
Dai L. (2011) A comparative study on uplink sum capacity with co-located and distributed antennas. IEEE Journal on Selected Areas in Communications 29(6): 1200–1213
Roh, W., & Paulraj, A. (2002). MIMO channel capacity for the distributed antenna systems. In IEEE 56th Vehicular Technology Conference (pp. 706–709). Vancouver: IEEE.
Dai L., Zhou S.-D., Yao Y. (2005) Capacity analysis in CDMA distributed antenna systems. IEEE Transactions on Wireless Communications 4(6): 2613–2620
Zhuang H.-R., Dai L., Xiao L. et al (2003) Spectral efficiency of distributed antenna system with random antenna layout. IEE Electronics Letters 39(6): 495–496
Simon M. K., Alouini M. S. (2005) Digital communication over fading channels (2nd ed.). Wiley, New York
Gan J.-S., Li Y.-Z., Xiao L.-M. et al (2007) On sum-rate and power consumption of multi-user distributed antenna system with circular antenna layout. EURASIP Journal on Wireless Communications and Networking 2007(2): 1–6
Feng, W., Li, Y.-Z., Zhou, S.-D., et al. (2009). On the optimal radius to deploy antennas in multi-user distributed antenna system with circular antenna layout. In The 2009 WRI international conference on communications and mobile computing (pp. 56–59). Kunming: IEEE.
Feng W., Li Y.-Z., Gan J.-S. et al (2011) On the deployment of antenna elements in generalized multi-user distributed antenna systems. Mobile Networks and Applications 16(1): 35–45
Wang X.-Z., Zhu P.-C., Chen M. (2009) Antenna location design for generalized distributed antenna systems. IEEE Communications Letters 13(5): 315–317
Chen, H.-M., & Chen, M. (2009). Capacity of the distributed antenna systems over shadowed fading channels. In IEEE 69th vehicular technology conference. Barcelona: IEEE.
McDonough R. N., Whalen A. D. (1995) Detection of singals in noise (2nd ed.). Academic Press, California
Goldsmith A. (2005) Wireless communication. Cambridge University Press, New York
Papoulis A. (1991) Probability, random variables and statistic processes (3rd ed.). McGraw-Hill, New York
Stuber G. L. (1996) Principles of mobile communication (2th ed.). Kluwer, New York
Gradshteyn I. S., Ryzhik I. M. (1994) Table of integrals, series and products (5th ed.). Academic Press, San Diego
Abramowitz M., Stegun I. A. (1970) Handbook of mathematical functions with formulas, graphs, and mathematical tables (9th ed.). Dover, New York
Burden R. L., Faires J. D. (1989) Numerical analysis (4th ed.). PWS KENT Publishing Company, Boston
Amaldi E., Capone A., Malucelli F. (2003) Planning UMTS base station location: Optimization models with power control and algorithms. IEEE Transactions on Wireless Communications 2(5): 939–952
Holland J. H. (1975) Adaptation in natural and artificial systems. MIT Press, Cambridge
Ting C.-K., Lee C.-N., Chang H.-C. et al (2009) Wireless heterogeneous transmitter placement using multiobjective variable-length genetic algorithm. IEEE Transactions on Systems, Man, and Cybernetics 39(4): 945–958
Park J.-B., Park Y.-M., Won J.-R. et al (2000) An improved genetic algorithm for generation expansion planning. IEEE Transactions on Power Systems 15(3): 916–922
Herrera F., Lozano M., Verdegay J. L. (1998) Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis. Artificial Intelligence Review 12(4): 265–319
Ripon K. S. N., Kwong S., Man K. F. (2007) A real-coding jumping gene genetic algorithm (RJGGA) for multiobjective optimization. Information Sciences 177(2): 632–654
Aho, A. V., Hopcroft, J. E., & Ullman J. D. (1974). The design and analysis of computer algorithms. Reading, MA: Addison-Wesley.
Cormen T. H., Leiserson C. E., Rivest R. L. (1994) Introduction to algorithms. MIT Press, Cambridge, MA
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wang, JY., Wang, JB. & Chen, M. System Capacity Analysis and Antenna Placement Optimization for Downlink Transmission in Distributed Antenna Systems. Wireless Pers Commun 71, 531–554 (2013). https://doi.org/10.1007/s11277-012-0827-8
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-012-0827-8