Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/s11277-012-0919-5 | Wireless Personal Communications |
Keywords | Field | DocType |
mimo transmitter,minimum transmitters,channel capacity,optimum coverage,genetic algorithm,best location,multi-objective optimization problem,optimization problem,proposed optimization method,mimo indoor channel,ray tracing engine,best coverage | Transmitter,Mathematical optimization,Computer science,MIMO,Communication channel,Fitness function,RSS,Channel capacity,Optimization problem,Genetic algorithm | Journal |
Volume | Issue | ISSN |
71 | 3 | 1572-834X |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zeinab Talepour | 1 | 0 | 0.34 |
| Javad Ahmadi-Shokouh | 2 | 4 | 4.59 |
| tavakoli saeed | 3 | 80 | 6.82 |