Montecarlo Simulation Applied to Measurement of the Impact of the Smart Antenna Technology in Digital Cellular Systems

Castañeda-Camacho, J.; Mino‐Aguilar, Gerardo; Cortez, Liliana; Gutiérrez-Arias, José Eligio Moisés; Guerrero-Castellanos, José Alexander Fermi; Muñóz-Hernández, Germán Ardul

doi:10.1016/j.riit.2015.03.005

Cited by 2 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This will help in increasing the strength of the signal and reduce the noise value. In order to form the radiation, steering vectors will be computed followed by direction estimation [19]. The dipole antenna elements are placed in a planar fashion and can get more directional space for the detection of directions of end-users.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An efficient reconfigurable optimal source detection and beam allocation algorithm for signal subspace factorization

Thazeen,

Srikantaswamy

2023

IJECE

View full text Add to dashboard Cite

<span lang="EN-US">Now a <span>days, huge amount of data is communicated through channels in wireless network. It requires an efficient parallel operation for the optimal utilization of frequency, time allocation and coding model for signal subspace factorization in smart antenna. In view of this requirement, an efficient reconfigurable optimal source detection and beam allocation algorithm (RoSDBA) is proposed. The proposed algorithm is able to allocate desired signal to the user space to reduce the noise and also for efficient allocation of subspace to remove disturbance in all directions. The proposed method efficiently utilizes the antenna array elements by accurate identification and allocation of antenna array elements such as individual radiators, radiation beam, signal strength, and disturbance factor. With respect to simulation analysis, the proposed method shows better performance for the resolution, radiation beam allocations, identification bias, distribution factor and time taken for the detection of various</span> array arrangements and source numbers.</span>

show abstract

Section: Introductionmentioning

confidence: 99%

“…when all the signal eigen values are combined then we get the following which is a signal subspace is given in (19).…”

mentioning

confidence: 99%

An efficient reconfigurable optimal source detection and beam allocation algorithm for signal subspace factorization

Thazeen,

Srikantaswamy

2023

IJECE

View full text Add to dashboard Cite

show abstract

Performance Analysis of Non-Ideal Sectorized SFR Cellular Systems in Rician Fading Channels With Unbalanced Diversity

et al. 2020

View full text Add to dashboard Cite

Nowadays, low reuse factors are used in cellular systems because of high traffic demand, despite it produces high co-cell interference (CCI) levels. Consequently, soft-frequency-reuse (SFR) and sectorization are used to improve the spectral efficiency and to mitigate CCI. In addition, diversity techniques are necessary for a good system performance. Motivated by this scenario, for the uplink of orthogonal-frequency-division multiple access (OFDMA) systems, the bit error rate (BER) and the cellular spectral efficiency using multilevel-quadrature-amplitude-modulation (M-QAM) and maximalratio-combining (MRC) in Rician fading channels are analyzed, where diversity branches have different Rician K-factors (unbalanced diversity). SFR is used assuming non-ideal sectorized cells due to the irregular radiation pattern of base station antennas. An exact integral-form expression and a closed-form upper-bound to evaluate the BER are obtained. In addition, an algorithm, and an expression to calculate the cellular spectral efficiency are presented considering that a target BER must be guaranteed for all users in the cell. From the analysis, it is determined that the BER can be reduced and the spectral efficiency can be improved if some system operating parameters are selected in an adequate manner. Thus, it was noticed that the number of diversity branches, the sum of the K factors of these branches, and the antenna type, are decisive to guarantee the target BER and to maximize the cellular spectral efficiency.

show abstract

Montecarlo Simulation Applied to Measurement of the Impact of the Smart Antenna Technology in Digital Cellular Systems

Abstract: Simulación montecarlo aplicada a la medición del impacto de la tecnología de antenas inteligentes en sistemas celulares digitales

Cited by 2 publications

References 15 publications

An efficient reconfigurable optimal source detection and beam allocation algorithm for signal subspace factorization

An efficient reconfigurable optimal source detection and beam allocation algorithm for signal subspace factorization

Performance Analysis of Non-Ideal Sectorized SFR Cellular Systems in Rician Fading Channels With Unbalanced Diversity

Contact Info

Product

Resources

About