Yığın MIMO Sistemlerde Spektral ve Enerji Verimliliklerine Farklı Devre Gücü Seviyelerinde Zeki Optimizasyon Tekniklerinin Uygulanması

Kullanımı her geçen gün artamaya devam eden hücresel iletişimlerde, trafik yoğunluğu sorunu yaşanmaması adına alan iş çıkarım yeteneğinin artırılması gereklilik olarak görülmektedir. Bunun için yığın çok girişli çok çıkışlı sistemler kullanılarak spektral verimliliğin artırılması ve beraberinde enerji verimliliğin yüksek tutulması hedeflenmektedir. Hücre içerisinde hizmet verilen kullanıcı sayısı, kullanılan aktif anten sayısı ve iletim gücünün çeşitli değerleri için spektral ve enerji verimliliklerinin artabildiği bilinmektedir. Zeki optimizasyon teknikleri kullanılarak bahsi geçen üç değişkene ait optimum kombinasyonlar tespit edilerek spektral ve enerji verimliliklerinin aynı anda yüksek olduğu örnekler elde edilebilmektedir. Bu çalışmada çok amaçlı genetik algoritma, çok amaçlı parçacık sürü optimizasyonu ve çok amaçlı diferansiyel gelişim algoritması üç farklı devre gücü seti üzerinde uygulanmış ve elde edilen sonuçlar değerlendirilmiştir.

Anahtar Kelimeler:

Yığın MIMO, Spektral Verimliliği, Enerji Verimliliği, Zeki Optimizasyon Teknikleri

Application of Intelligent Optimization Techniques to Spectral and Energy Efficiencies in Massive MIMO Systems at Different Circuit Power Levels

In cellular communications, whose usage continues to increase day by day, it is seen as a necessity to increase the area throughput in order to avoid data traffic density problems. For this, it is aimed to increase spectral efficiency by using massive multi-input multi-output systems and also to keep energy efficiency high. It is known that spectral and energy efficiencies can increase with different number of user equipments served in the cell, number of active antennas and values of the transmission power. By using intelligent optimization techniques, optimum combinations of these three variables can be determined and samples with both high spectral and energy efficiencies at the same time can be obtained. In this paper, multi-objective genetic algorithm, multi-objective particle swarm optimization and multi-objective differential evolution algorithm are applied on three different circuit power sets and then results obtained are evaluated.

Keywords:

Massive MIMO, Spectral Efficiency, Energy Efficiency, Intelligent Optimization Techniques,

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