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Open AccessJournal ArticleDOI

Dynamic Resource Allocation in Cognitive Radio Networks: A Convex Optimization Perspective

TLDR
In this paper, the authors provide an overview of the state-of-the-art results on communication resource allocation over space, time, and frequency for emerging cognitive radio (CR) wireless networks.
Abstract
This article provides an overview of the state-of-art results on communication resource allocation over space, time, and frequency for emerging cognitive radio (CR) wireless networks. Focusing on the interference-power/interference-temperature (IT) constraint approach for CRs to protect primary radio transmissions, many new and challenging problems regarding the design of CR systems are formulated, and some of the corresponding solutions are shown to be obtainable by restructuring some classic results known for traditional (non-CR) wireless networks. It is demonstrated that convex optimization plays an essential role in solving these problems, in a both rigorous and efficient way. Promising research directions on interference management for CR and other related multiuser communication systems are discussed.

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Citations
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Journal ArticleDOI

MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer

TL;DR: This paper studies a multiple-input multiple-output (MIMO) wireless broadcast system consisting of three nodes, where one receiver harvests energy and another receiver decodes information separately from the signals sent by a common transmitter, and all the transmitter and receivers may be equipped with multiple antennas.
Journal ArticleDOI

Cognitive radio networking and communications: an overview

TL;DR: This paper provides a systematic overview on CR networking and communications by looking at the key functions of the physical, medium access control (MAC), and network layers involved in a CR design and how these layers are crossly related.
Journal ArticleDOI

Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks

TL;DR: In this paper, a stochastic geometry model was proposed to maximize the secondary network throughput under the given outage-probability constraints in the two coexisting networks, which reveals key insights to the optimal network design.
Journal ArticleDOI

QoS-Based Transmit Beamforming in the Presence of Eavesdroppers: An Optimized Artificial-Noise-Aided Approach

TL;DR: This paper proposes a secret transmit beamforming approach using a quality-of-service (QoS)-based perspective, and proves that SDR can exactly solve the design problems for a practically representative class of problem instances; e.g., when the intended receiver's instantaneous CSI is known.
Journal ArticleDOI

Optimum Co-Design for Spectrum Sharing between Matrix Completion Based MIMO Radars and a MIMO Communication System

TL;DR: A joint design of the communication transmit covariance matrix and the MIMO-MC radar sampling scheme is proposed, which achieves even further EIP reduction.
References
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Book

Elements of information theory

TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
Book

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: making software radios more personal

TL;DR: With RKRL, cognitive radio agents may actively manipulate the protocol stack to adapt known etiquettes to better satisfy the user's needs and transforms radio nodes from blind executors of predefined protocols to radio-domain-aware intelligent agents that search out ways to deliver the services the user wants even if that user does not know how to obtain them.
Journal ArticleDOI

The capacity of wireless networks

TL;DR: When n identical randomly located nodes, each capable of transmitting at W bits per second and using a fixed range, form a wireless network, the throughput /spl lambda/(n) obtainable by each node for a randomly chosen destination is /spl Theta/(W//spl radic/(nlogn)) bits persecond under a noninterference protocol.
Journal ArticleDOI

Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels

TL;DR: While the proposed algorithms are suboptimal, they lead to simpler transmitter and receiver structures and allow for a reasonable tradeoff between performance and complexity.
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