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Proceedings ArticleDOI

Achievable Capacity Under the Interference Temperature Model

TLDR
This research develops a model for the RF environment and determines probability distributions governing interference temperature as a function of various elements in the model, and proposes alternate usages for interference temperature and ways to boost capacity.
Abstract
The interference temperature model was proposed by the FCC in 2003 as a way to dynamically manage and allocate spectrum resources. It would allow unlicensed radios to sense their current RF environment and transmit in licensed bands, provided their transmission does not raise the interference temperature for that frequency band over the interference temperature limit. It never received much interest because nobody was sure exactly how to use it or how if it would work. This research focuses on a mathematical analysis of the interference temperature model in an effort to examine the relationships between the capacity achieved by the unlicensed network and the interference caused to the licensed network. We develop a model for the RF environment and determine probability distributions governing interference temperature as a function of various elements in the model. We then determine bounds on the amount of interference caused by implementing such a system. We examine model environments for a wireless WAN and a wireless LAN, each coexisting with a licensed carrier. For each, we quantify both the impact on the licensed signal and also the capacity achieved by our underlay network. By substituting numeric values for RF environments in which the interference temperature model might be applied, we show that achievable capacity is very small, while the impact the licensee can be very large. Based on this, we propose alternate usages for interference temperature and ways to boost capacity.

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Citations
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Journal ArticleDOI

Advances in cognitive radio networks: A survey

TL;DR: Recent advances in research related to cognitive radios are surveyed, including the fundamentals of cognitive radio technology, architecture of a cognitive radio network and its applications, and important issues in dynamic spectrum allocation and sharing are investigated in detail.
Journal ArticleDOI

A Survey on MAC Strategies for Cognitive Radio Networks

TL;DR: The fundamental role of the MAC layer is shown and its functionalities in a cognitive radio (CR) network are identified and a classification of cognitive MAC protocols is proposed and advantages, drawbacks, and further design challenges of Cognitive MAC protocols are discussed.
Journal ArticleDOI

Ten years of research in spectrum sensing and sharing in cognitive radio

TL;DR: An overview of recent research achievements of including spectrum sensing, sharing techniques and the applications of CR systems is provided.
Book

Principles Of Cognitive Radio

TL;DR: 1. The concept of cognitive radio, capacity of cognitiveRadio networks, and Propagation issues for cognitive radio: a review.
Journal ArticleDOI

MAC Protocol for Opportunistic Cognitive Radio Networks with Soft Guarantees

TL;DR: A distributed cognitive radio MAC (COMAC) protocol that enables unlicensed users to dynamically utilize the spectrum while limiting the interference on primary (PR) users is developed and simulation results indicate that COMAC satisfies its target soft guarantees under different traffic loads and arbitrary user deployment scenarios.
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.

A Cognitive Radio Approach for Usage of Virtual Unlicensed Spectrum

TL;DR: A vision of a Cognitive Radio (CR) based approach that uses allocated spectrum in a opportunistic manner to create "virtual unlicensed bands" i.e. bands that are shared with the primary (often licensed) users on a non-interfering basis is presented.

Adaptive Spectrum Access: Using the Full Spectrum Space

TL;DR: This paper presents technical research into advanced adaptive techniques and identifies those parameters or characteristics where regulation and policy need to be reviewed and provides insight into the benefits and possible limitations of such approaches to cognitive radio design and policy.
Proceedings ArticleDOI

Dynamic spectrum allocation in a multi-radio environment: concept and algorithm

TL;DR: The results show that even a simplified algorithm can produce gains for the radio networks in the dynamic allocation scheme, and several issues are raised with relation to improvements to the fairness and effectiveness of the allocation scheme.
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