Optimum Coverage/Capacity in MIMO Indoor Channel with Minimum Transmitters

  • Authors:
  • Zeinab Talepour;Javad Ahmadi-Shokouh;Saeed Tavakoli

  • Affiliations:
  • School of Electrical and Computer Engineering, University of Sistan and Baluchestan, Zahedan, Iran;School of Electrical and Computer Engineering, University of Sistan and Baluchestan, Zahedan, Iran;School of Electrical and Computer Engineering, University of Sistan and Baluchestan, Zahedan, Iran

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2013

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Abstract

In this paper, we consider a transmitter location finding problem for the best coverage and capacity in an indoor Multi-Input Multi-Output (MIMO) channel. Hence, a multi-objective optimization problem is solved in order to achieve the above targets. A weighted combination of Receive Signal Strength (RSS) and channel capacity is defined as fitness function for this optimization problem. The proposed optimization method contains a jointly designed Ray Tracing Engine (RTE) and Genetic Algorithm (GA). The algorithm is applied on a sample environment which is fully simulated with RTE. The results show that the proposed method perfectly finds the best locations of the minimum number of MIMO transmitters at different weights for RSS and channel capacity.