Heterojen LTE ağlarda femto hücreler için güç yönetim eniyilemesi

Year 2019, Volume: 25 Issue: 5, 532 - 538, 21.10.2019

Ahmet Akbulut , Aykut Kalaycıoğlu

Abstract

Bu
çalışmada makro hücrelerin yanında çok daha düşük iletim gücüne sahip femto
hücrelerin bulunduğu bir heterojen LTE ağında genetik algoritma eniyileme
yöntemi kullanılarak femto hücreler için bir güç yönetimi önerilmektedir. Elde
edilen benzetim sonuçları femto hücreler için güç kontrolünün indirme yolu
yönünde girişimin bozucu etkilerinin azaltılmasında önemli rol oynadığını
göstermektedir. Benzetimlerde femto hücre baz istasyonlarının iletim gücü sabit
tutulduğundaki durum ile eniyileme yapıldığındaki sonuçlar kıyaslanmıştır.
Eniyileme sonucunda, femto hücre kullanıcılarının sahip olduğu sinyal-girişim
ve gürültü oranında hissedilir bir başarım kaybı olmamaktadır. Buna karşın
önerilen güç yönetimi sayesinde femto hücre baz istasyonlarının iletim gücünde
%50’ye yakın azalma sağlanabilmektedir.

Keywords

Femto hücre, Girişim yönetimi, Güç yönetimi, Genetik algoritma, Optimizasyon

Power management optimization for femtocells in heterogeneous LTE networks

Abstract

In
this study, a power management scheme using genetic algorithm optimization
method in a heterogeneous LTE network in which there exists femtocells having a
low transmission power among macrocells is proposed. The simulation results
show that power management for femtocells in the downlink direction plays an
important role in reducing the degrading effects of the interference. In the
simulations, the results of keeping fixed transmission power of femtocell base
stations situation are compared with that of performing optimization case.
There is no observable performance loss in the femtocell user's
signal-interference and noise ratio due to the power management optimization.
On the contrary, almost 50% transmission power decrease of femtocell base
station can be provided by means of the proposed power management scheme.

Keywords

Femtocell, Interference management, Power management, Genetic algorithm, Optimization

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