Yoğunluk-Uyarlı Kablosuz Şebekeler (DAWN)

ONUR ,Ertan

Proje Yürütücüsü:

Ertan ONUR

(Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye)

Proje Grubu: TÜBİTAK EEEAG ProjeSayfa Sayısı: 135Proje No: 215E127Proje Bitiş Tarihi: 01.10.2018Metin Dili: Türkçe

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Yoğunluk-Uyarlı Kablosuz Şebekeler (DAWN)

Öz: Yüksek veri iletim ihtiyacı olan uygulamaların sayısı artıkça, mobil haberlesme talebi de artmaktadır. Artan gereksinimi karsılamak için hücrelerin küçültülerek kısıtlı olan kablosuz bant genisliginin verimli kullanılması gerekmektedir. Çok sayıda dinamik küçük hücrenin ortaya çıkmasıyla gezgin aglar da tasarsız sebekelere benzemektedir ve bir paradigma degisimi yasanmaktadır. Küçük hücrelerin rastlantısal sekilde sebekeye dahil olması ve ayrılması, sebeke yogunlugunun önceden kestirilemeyecek sekilde degismesine neden olacaktır. Yogunluk degisimleri ise servis ve tecrübe kalitesini etkileyecek ve yerel kapsama alanı kontrolü, sinyal girisimi kontrolü gibi yeni sorunlara neden olacaktır. NP-Hard eniyileme problem çözümü gerektiren merkezi ve statik yapılandırmalar, sebekenin çok büyük olması nedeniyle uygulanabilir olmayacaktır. Dagıtık özdüzenleme teknikleriyle, yogunluk-uyarlı yıgıt (stack) ve mimari gelistirilmesi gerekecektir. Bu projenin amacı büyük-ölçekli küçük-hücreli özdüzenlemeli sebekeleri yogunluk-uyarlı ve yogunluk-farkında yapmaktır. Yeni sebeke yogunlugu kestirim teknikleri önerilmis ve yogunluk-uyarlı kapsama alanı kontrolü teknikleri gelistirilmistir. Gelistirilen teknikler benzetim deneyleri ile dogrulanmıstır.

Abstract: As the number of bandwidth-hungry applications and consequently the demand for mobile communications increases, cells have to become smaller to efficiently use the scarce spectrum. This phenomenon causes a paradigm change in mobile communications with the emergence of small-cell networks that are large in scale and highly dynamic resembling ad hoc networks. The churn in the presence of small cells, which causes sporadic density changes, impacts the quality of service and experience and introduces many novel challenges including distributed coverage preservation and interference management through local cooperation. Centralized management and static configuration, which require solving NP-hard optimization problems, are not feasible any more due to the scale of the network. Distributed self-organization techniques, density-adaptive protocols and architectures have to be developed. This project partially addressed this challenge with the goal of making the large-scale small-cell networks density-aware and -adaptive. We proposed novel density estimators and density-aware coverage preservation techniques using the estimators, and validated the expected results by simulations. Keywords: Cellular Networks, Mobile Communications, Long Term Evolution, LTE, Self Organizing Networks, Density Estimation, Density-adaptive Wireless Networks

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