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Journal ArticleDOI

Adaptive Power Loading for OFDM-Based Cognitive Radio Systems with Statistical Interference Constraint

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TLDR
An optimal power allocation algorithm for the orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR) systems with different statistical interference constraints imposed by different primary users (PUs) is developed and the performance has been investigated.
Abstract
In this letter, we develop an optimal power allocation algorithm for the orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR) systems with different statistical interference constraints imposed by different primary users (PUs). Given the fact that the interference constraints are met in a statistical manner, the CR transmitter does not require the instantaneous channel quality feedback from the PU receivers. A suboptimal algorithm with reduced complexity has been proposed and the performance has been investigated. Presented numerical results show that with our proposed optimal power allocation algorithm CR user can achieve significantly higher transmission capacity for given statistical interference constraints and a given power budget compared to the classical power allocation algorithms namely, uniform and water-filling power allocation algorithms. The suboptimal algorithm outperforms both water-filling algorithm and uniform power loading algorithm. The proposed suboptimal algorithm give an option of using a low complexity power allocation algorithm where complexity is an issue with a certain amount of transmission rate degradation.

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Citations
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Journal ArticleDOI

Resource Allocation Techniques in Cooperative Cognitive Radio Networks

TL;DR: This paper discusses the taxonomy of objectives and protocols used in the literature for resource allocation in cooperative CRN, and highlights the use of power control, cooperation types, network configurations and decision types used in cooperativeCRN.
Journal ArticleDOI

Robust Power Control and Beamforming in Cognitive Radio Networks: A Survey

TL;DR: An overview on robust design for power control and beamforming in cognitive radio networks (CRNs) is given, modeling methods for parametric uncertainties are analyzed, various design methodologies are introduced, and robust algorithms that have appeared in the literatures are presented.
Journal ArticleDOI

Subcarrier and Power Allocation for OFDMA-Based Cognitive Radio Systems With Joint Overlay and Underlay Spectrum Access Mechanism

TL;DR: The selected numerical results show that a significant gain in terms of total achievable transmission rate can be obtained over an USAM or an OSAM, and the proposed suboptimal scheme, which has a very low complexity, provides a significant improvement in performance over either underlay or overlay spectrum access mechanism.
Journal ArticleDOI

Relay and Power Allocation Schemes for OFDM-Based Cognitive Radio Systems

TL;DR: The presented numerical results show that the performance of proposed suboptimal schemes is close to the optimal solution of the relay and power allocation problem for OFDM-based cognitive radio (CR) systems with single antennae.
Journal ArticleDOI

Evolution and future trends of research in cognitive radio: a contemporary survey

TL;DR: A comprehensive survey on the evolution of CR research covering aspects such as spectrum sensing, measurements and statistical modeling of spectrum usage, physical layer aspectssuch as waveform and modulation design, multiple access, resource allocation and power control, cognitive learning, adaptation and self-configuration, multihop transmission and routing, and robustness and security in CR networks is provided.
References
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Convex Optimization

TL;DR: In this article, the focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them, and a comprehensive introduction to the subject is given. But the focus of this book is not on the optimization problem itself, but on the problem of finding the appropriate technique to solve it.
Journal ArticleDOI

Cognitive radio: brain-empowered wireless communications

TL;DR: Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks: radio-scene analysis, channel-state estimation and predictive modeling, and the emergent behavior of cognitive radio.
Journal ArticleDOI

Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency

TL;DR: The technical challenges that have to be met when implementing the interesting new technology of spectrum pooling are described, which represents the coexistence of two mobile radio systems within the same frequency range.
Proceedings ArticleDOI

Mutual interference in OFDM-based spectrum pooling systems

TL;DR: A quantitative comparison of both approaches to spectrum pooling aims at enabling public access to these spectral ranges without sacrificing the transmission quality of the actual license owners, and it is obvious that both approaches sacrifice bandwidth of the rental system.
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