Proceedings ArticleDOI
Enhancement of mean energy efficiency in cognitive radio channels
K. C. Sriharipriya,P C Preethi,K. Baskaran +2 more
- pp 1-5
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TLDR
Dinkelbach's algorithm is used to achieve the maximized EE with low number of iterations via an exhaustive search and the problem is solved at a low complexity.Abstract:
Obtaining Energy Efficiency (EE) is very difficult for wireless communication systems especially for cognitive radio network (CRN). The investigation here is with the mean EE maximization problem for secondary user (SU) with both primary user (PU) and secondary users. The solution to the problem starts by considering both the peak and mean transmit power constraints for the SUs and outage probability constraint for the PUs. The problem here is nontrivial. Dinkelbach's algorithm is used to achieve the maximized EE with low number of iterations. Further, it attains the optimal solution via an exhaustive search. Thus the problem is solved at a low complexity.read more
Citations
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Book ChapterDOI
Nonlinear Fractional Programming
TL;DR: In this paper, a nonlinear fractional programming problem is considered, where the objective function has a finite optimal value and it is assumed that g(x) + β + 0 for all x ∈ S,S is non-empty.
Journal ArticleDOI
Discrete-Time Markov Chain Analysis of Energy Efficiency in a CR Network Regarding Primary and Secondary Traffic With Primary User Returns
TL;DR: A new analytical framework is proposed in which the EE and collision probability are formulated and the traffic behaviors of PU and a general SU traffic are considered, and suitable values for sensing and transmission times are obtained to maximize the EE under collision and queue stability constraints.
References
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Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective
TL;DR: This information-theoretic survey provides guidelines for the spectral efficiency gains possible through cognitive radios, as well as practical design ideas to mitigate the coexistence challenges in today's crowded spectrum.
Journal ArticleDOI
Fundamental trade-offs on green wireless networks
TL;DR: In this paper, the authors propose a framework for green radio research and integrate the fundamental issues that are currently scattered, which consists of four fundamental tradeoffs: deployment efficiency, energy efficiency, spectrum efficiency and delay power.
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Fundamental Tradeoffs on Green Wireless Networks
TL;DR: This article proposes a framework for green radio research and integrates the fundamental issues that are currently scattered and demonstrates that key network performance/cost indicators are all strung together.
Book ChapterDOI
Nonlinear Fractional Programming
TL;DR: In this paper, a nonlinear fractional programming problem is considered, where the objective function has a finite optimal value and it is assumed that g(x) + β + 0 for all x ∈ S,S is non-empty.