IEEE 1900.5 enabled whitespace database architecture evolution

Stine, John A.; Swain-Walsh, Darcy; Sherman, Matthew

doi:10.1109/dyspan.2014.6817784

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…For the TVWS, it has been shown that obtaining the spectrum availability information by inquiring a geo-location database is more efficient than performing spectrum sensing alone [4], [5]. Also, geo-location database has been widely supported by the standards bodies and industrial organizations [6]- [9].…”

Section: Introductionmentioning

confidence: 99%

Database-Assisted Spectrum Access in Dynamic Networks: A Distributed Learning Solution

Anpalagan

2015

IEEE Access

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This paper investigates the problem of databaseassisted spectrum access in dynamic TV white spectrum networks, in which the active user set is varying. Since there is no central controller and information exchange, it encounters dynamic and incomplete information constraints. To solve this challenge, we formulate a state-based spectrum access game and a robust spectrum access game. It is proved that the two games are ordinal potential games with the (expected) aggregate weighted interference serving as the potential functions. A distributed learning algorithm is proposed to achieve the pure strategy Nash equilibrium (NE) of the games. It is shown that the best NE is almost the same with the optimal solution and the achievable throughput of the proposed learning algorithm is very close to the optimal one, which validates the effectiveness of the proposed game-theoretic solution.Index Terms-TV white spectrum, geo-location database, ordinal potential game, learning automata.

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Section: Introductionmentioning

confidence: 99%

Database-Assisted Spectrum Access in Dynamic Networks: A Distributed Learning Solution

Anpalagan

2015

IEEE Access

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Introduction

Zhou¹,

Yu²,

Shen³

et al. 2016

Dynamic Sharing of Wireless Spectrum

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Applying Case-Based Reasoning to Tactical Cognitive Sensor Networks for Dynamic Frequency Allocation

Park

Lee²,

Choi³

et al. 2018

Sensors

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In this paper, a cognitive radio engine platform is proposed for exploiting available frequency channels for a tactical wireless sensor network while aiming to protect incumbent communication devices, known as the primary user (PU), from undesired harmful interference. In the field of tactical communication networks, there is an urgent need to identify available frequencies for opportunistic and dynamic access to channels on which the PU is active. This paper introduces a cognitive engine platform for determining the available channels on the basis of a case-based reasoning technique deployable as a core functionality on a cognitive radio engine to enable dynamic spectrum access (DSA) with high fidelity. To this end, a plausible learning engine to characterize the channel usage pattern is introduced to extract the best channel candidate for the tactical cognitive radio node (TCRN). The performance of the proposed cognitive engine was verified by simulation tests that confirmed the reliability of the functional aspect, which includes the learning engine, as well as the case-based reasoning engine. Moreover, the efficacy of the TCRN with regard to the avoidance of collision with the PU operation, considered the etiquette secondary user (SU), was demonstrated.

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IEEE 1900.5 enabled whitespace database architecture evolution

Cited by 3 publications

References 2 publications

Database-Assisted Spectrum Access in Dynamic Networks: A Distributed Learning Solution

Database-Assisted Spectrum Access in Dynamic Networks: A Distributed Learning Solution

Introduction

Applying Case-Based Reasoning to Tactical Cognitive Sensor Networks for Dynamic Frequency Allocation

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