Improving the Call Performance of Secondary Users by Utilizing a Buffer-Based Channel Allocation Approach in Cognitive Radio Networks

Sedat Atmaca

Makale detayları

Improving the Call Performance of Secondary Users by Utilizing a Buffer-Based Channel Allocation Approach in Cognitive Radio Networks

Yazarlar:

Sedat Atmaca

Yayıncı:

Afyon Kocatepe University

Ana Başlıklar:

Yazılım Mühendisliği (Diğer)

Dergi:

Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi Vol.24 Issue 6, pp.1346-1354

Belge Tipi:

Makale

Yayın Tarihi:

2/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001330221

pISSN:

2149-3367

Anahtar kelimeler:

Özet:

 In this presented work, a Cognitive Radio CR network model where Primary Users PUs and Secondary Users SUs coexist within the same communication area and SUs utilize the licensed spectrum opportunistically was developed, analyzed, and its performance was comparatively evaluated with a peer network model. In the proposed CR network model, the buffer usage is envisaged for SUs whose calls are blocked due to limited spectrum and for SUs whose connections drop due to incoming PU calls. The performance of the proposed CR network model was analyzed using a three-dimensional continuous-time Markov chain. Additionally, a Monte Carlo simulation was developed for the CR network model, and the results obtained from the simulation model were validated by the results obtained from the analytical model. In the proposed model, SU call blocking probability, SU call dropping probability, and SU spectrum handover probability were considered as performance metrics. The results obtained from the proposed model were compared with those obtained from a peer model not utilizing buffers, presented in the literature. According to the obtained results, when the SU arrival rate is 2, there is approximately a 55 improvement in SU call blocking probability, a 61 improvement in SU call dropping probability, and approximately a 50 improvement in SU spectrum handover probability.

 In this presented work, a Cognitive Radio CR network model where Primary Users PUs and Secondary Users SUs coexist within the same communication area and SUs utilize the licensed spectrum opportunistically was developed, analyzed, and its performance was comparatively evaluated with a peer network model. In the proposed CR network model, the buffer usage is envisaged for SUs whose calls are blocked due to limited spectrum and for SUs whose connections drop due to incoming PU calls. The performance of the proposed CR network model was analyzed using a three-dimensional continuous-time Markov chain. Additionally, a Monte Carlo simulation was developed for the CR network model, and the results obtained from the simulation model were validated by the results obtained from the analytical model. In the proposed model, SU call blocking probability, SU call dropping probability, and SU spectrum handover probability were considered as performance metrics. The results obtained from the proposed model were compared with those obtained from a peer model not utilizing buffers, presented in the literature. According to the obtained results, when the SU arrival rate is 2, there is approximately a 55 improvement in SU call blocking probability, a 61 improvement in SU call dropping probability, and approximately a 50 improvement in SU spectrum handover probability.

 In this presented work, a Cognitive Radio CR network model where Primary Users PUs and Secondary Users SUs coexist within the same communication area and SUs utilize the licensed spectrum opportunistically was developed, analyzed, and its performance was comparatively evaluated with a peer network model. In the proposed CR network model, the buffer usage is envisaged for SUs whose calls are blocked due to limited spectrum and for SUs whose connections drop due to incoming PU calls. The performance of the proposed CR network model was analyzed using a three-dimensional continuous-time Markov chain. Additionally, a Monte Carlo simulation was developed for the CR network model, and the results obtained from the simulation model were validated by the results obtained from the analytical model. In the proposed model, SU call blocking probability, SU call dropping probability, and SU spectrum handover probability were considered as performance metrics. The results obtained from the proposed model were compared with those obtained from a peer model not utilizing buffers, presented in the literature. According to the obtained results, when the SU arrival rate is 2, there is approximately a 55 improvement in SU call blocking probability, a 61 improvement in SU call dropping probability, and approximately a 50 improvement in SU spectrum handover probability.

 Bu makalede sunulan çalışmada, Birincil Kullanıcıların BK ve İkincil Kullanıcıların İK aynı iletişim alanı içerisinde birlikte bulunduğu ve İKların lisanslı spektrumu fırsatçı bir yaklaşımla kullandığı bir Bilişsel Radyo BR ağ modeli geliştirilmiş, analiz edilmiş ve başarımı eş bir ağ modeli ile karşılaştırmalı değerlendirilmiştir. Önerilen ağ modelinde spektrum yetersizliğinden çağrıları engellenen İKlar ve yeni gelen BK çağrılarından dolayı bağlantısı düşen İKlar için arabellek kullanımı öngörülmüştür. Önerilen BR ağ modelinin başarımı üç boyutlu sürekli Markov zinciri kullanılarak analiz edilmiştir. Ayrıca, geliştirilen BR ağ modelinin Monte-Carlo benzetimi de gerçekleştirilerek elde edilen sonuçlarla, analitik modelden elde edilen sonuçlar doğrulanmıştır. Önerilen modelde İK çağrı engelleme olasılığı, İK çağrı düşme olasılığı ve İK spektrum el-değiştirme olasılığı başarım metrikleri olarak benimsenmiştir. Karşılaştırmalı başarım sonuçlara göre, İK varış hızı 2 olduğunda, İK çağrı engelleme olasılığında 55, İK çağrı düşme olasılığında 61 ve İK spektrum el-değiştirme olasılığında yaklaşık 50 oranında iyileştirme elde edilmiştir.

Makale detayları

Improving the Call Performance of Secondary Users by Utilizing a Buffer-Based Channel Allocation Approach in Cognitive Radio Networks

Yazarlar:

Sedat Atmaca

Yayıncı:

Afyon Kocatepe University

Ana Başlıklar:

Yazılım Mühendisliği (Diğer)

Dergi:

Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi Vol.24 Issue 6, pp.1346-1354

Belge Tipi:

Makale

Yayın Tarihi:

2/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001330221

pISSN:

2149-3367

Cognitive radio

Resource allocation

Medium access control

Markov chainBilişsel radyo

kaynak tahsisi

Ortam erişim kontrol

Markov Zinciri

Sayı

Makale detayları

Yazarlar: Sedat Atmaca

Yayıncı: Afyon Kocatepe University

Ana Başlıklar: Yazılım Mühendisliği (Diğer)

Dergi: Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi Vol.24 Issue 6, pp.1346-1354

Belge Tipi: Makale

Yayın Tarihi: 2/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001330221

pISSN: 2149-3367

Sayı

Yazarlar:

Sedat Atmaca

Yayıncı:

Afyon Kocatepe University

Ana Başlıklar:

Yazılım Mühendisliği (Diğer)

Dergi:

Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi Vol.24 Issue 6, pp.1346-1354

Belge Tipi:

Makale

Yayın Tarihi:

2/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001330221

pISSN:

2149-3367