Energy-Efficiency-Based Optimal Relay Selection Scheme With a BER Constraint in Cooperative Cognitive Radio Networks
| Autor: | Jianrong Bao, Haiyan Cao, Yu-Dong Yao, Xiaorong Xu, Sanqing Hu |
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| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Computer Networks and Communications Aerospace Engineering 020302 automobile design & engineering 020206 networking & telecommunications Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Energy consumption law.invention Cognitive radio 0203 mechanical engineering Transmission (telecommunications) Relay law Automotive Engineering Convex optimization 0202 electrical engineering electronic engineering information engineering Bit error rate Electrical and Electronic Engineering Convex function Computer Science::Information Theory Mathematics Efficient energy use |
| Zdroj: | IEEE Transactions on Vehicular Technology. 65:191-203 |
| ISSN: | 1939-9359 0018-9545 |
| Popis: | Due to the energy constraint of each cognitive user and potential secondary transmission errors, energy efficiency is very important for cognitive nodes in spectrum sensing and cooperative transmissions. In this paper, an energy awareness optimal relay selection (EAORS) scheme is proposed, in which the number of optimal relays is determined by a weighted objective function considering energy consumption in both spectrum sensing and the cooperative transmission phases, under the constraints of the global misdetection requirement and secondary cooperative transmission bit error rate (BER). In the proposed EAORS scheme, the authors investigate the tradeoff between detection accuracy and energy efficiency and construct the objective function as a weighted convex function of relay numbers with the consideration of global missing detection probability and cooperative transmission BER. This nonlinear convex problem is solved by applying numerical analysis to obtain the optimal relay numbers. Energy consumption analysis is conducted to show the effectiveness of the proposed EAORS scheme. Numerical results show that the proposed scheme outperforms a compressed sensing (CS)-based energy-efficient cooperative detection scheme and provides a tradeoff between detection accuracy and energy efficiency. |
| Databáze: | OpenAIRE |
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