Antenna Theory: Analysis and Design
Antenna Theory: Analysis and Design
Computational Intelligence: Methods and Techniques
Computational Intelligence: Methods and Techniques
Globally optimal transmitter placement for indoor wireless communication systems
IEEE Transactions on Wireless Communications
Capacity scaling in MIMO wireless systems under correlated fading
IEEE Transactions on Information Theory
A CDMA-distributed antenna system for in-building personal communications services
IEEE Journal on Selected Areas in Communications
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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.