Energy Efficiency Analysis of Secondary Networks in Cognitive Radio Systems

被引：0

作者：

Mesodiakaki, Agapi ^{[1
]}

Adelantado, Ferran ^{[2
]}

Alonso, Luis ^{[1
]}

Verikoukis, Christos ^{[3
]}

机构：

[1] Tech Univ Catalonia UPC, Signal Theory & Commun Dept, Castelldefels, Spain

[2] Open Univ Catalonia, Barcelona, Spain

[3] Telecommun Tech Ctr Catalonia, Castelldefels, Spain

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | 2013年

关键词：

Cooperative Spectrum Sensing; Feature Detection; CSMA/CA; Green Communications;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In this paper, we evaluate a novel contention-aware channel selection algorithm that focuses on energy efficiency improvement of a secondary network (SN) in a scenario where other non-cooperating SNs are also using the primary resources. We present a detailed energy efficiency analysis and we study how the time between two consecutive sensing periods affects the energy efficiency. Our analysis proves that a categorization of the idle channels based on their contention level and the selection of the less contended ones can result in up to 70% gain in energy efficiency. The model is further evaluated through simulations.

引用

页码：4115 / +

页数：2

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