A Survey of Dynamic Spectrum Access: Signal Processing and Networking Perspectives

Zhao, Qing; Swami, Ananthram

doi:10.1109/icassp.2007.367328

Cited by 310 publications

(416 citation statements)

References 37 publications

(45 reference statements)

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“…There are several comprehensive surveys on the technical aspects of DSA and CRNs (see Haykin (2005), Akyildiz et al (2006), Buddhikot (2007), Zhao & Sadler (2007) of DSA (see, e.g., Hossain et al (2009), Tonmukayakul & Weiss (2009). Market-driven secondary spectrum trading is a promising paradigm to address the incentive issue and achieve high spectrum efficiency in DSA.…”

Section: Secondary Spectrum Trading For Dsamentioning

confidence: 99%

“…Dynamic spectrum access (DSA) has been recently recognized as a novel and promising approach to increase spectrum utilization efficiency and alleviate spectrum scarcity. The key idea is to enable unlicensed secondary users (SUs) to exploit the under-utilized licensed spectrum in an opportunistic manner (see Haykin (2005), Akyildiz et al (2006), Buddhikot (2007), Zhao & Sadler (2007)). 1 The long-term success of DSA requires many innovations in technology, economics, and policy.…”

Section: Background and Motivationsmentioning

confidence: 99%

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Combining Spot and Futures Markets: A Hybrid Market Approach to Dynamic Spectrum Access

Gao

Shou

Chen

et al. 2016

Operations Research

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Dynamic spectrum access is a new paradigm of secondary spectrum utilization and sharing. It allows unlicensed secondary users (SUs) to exploit opportunistically the under-utilized licensed spectrum. Market mechanism is a widely-used promising means to regulate the consuming behaviours of users and, hence, achieve the efficient allocation and consumption of limited resources. In this paper, we propose and study a hybrid secondary spectrum market consisting of both the futures market and the spot market, in which SUs (buyers) purchase under-utilized licensed spectrum from a spectrum regulator, either through predefined contracts via the futures market, or through spot transactions via the spot market. We focus on the optimal spectrum allocation among SUs in an exogenous hybrid market that maximizes the secondary spectrum utilization efficiency. The problem is challenging due to the stochasticity and asymmetry of network information. To solve this problem, we first derive an off-line optimal allocation policy that maximizes the ex-ante expected spectrum utilization efficiency based on the stochastic distribution of network information. We then propose an on-line VickreyCClarkeCGroves (VCG) auction that determines the real-time allocation and pricing of every spectrum based on the realized network information and the pre-derived off-line policy. We further show that with the spatial frequency reuse, the proposed VCG auction is NP-hard; hence, it is not suitable for on-line implementation, especially in a large-scale market. To this end, we propose a heuristics approach based on an on-line VCG-like mechanism with polynomial-time complexity, and further characterize the corresponding performance loss bound analytically. We finally provide extensive numerical results to evaluate the performance of the proposed solutions.

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Section: Secondary Spectrum Trading For Dsamentioning

confidence: 99%

Section: Background and Motivationsmentioning

confidence: 99%

Combining Spot and Futures Markets: A Hybrid Market Approach to Dynamic Spectrum Access

Gao

Shou

Chen

et al. 2016

Operations Research

View full text Add to dashboard Cite

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“…In the literature, the dynamic spectrum access schemes are categorized into three classes [13]: exclusive use model, open sharing model and hierarchical access model. The exclusive use model represents the scenarios where the primary users can sublease part of the private spectrum to other secondary users for profit.…”

Section: A Cognitive Radio Networkmentioning

confidence: 99%

Stochastic Channel Selection in Cognitive Radio Networks

Song

Fang

Zhang

2007

IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference

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Abstract-In this paper, we investigate the channel selection strategy for secondary users in cognitive radio networks. We claim that in order to avoid the costly channel switchings, a secondary user may desire an optimal channel which maximizes the probability of successful transmissions, rather than consistently adapting channels to the random environment. We propose a stochastic channel selection algorithm based on the learning automata techniques. This algorithm adjusts the probability of selecting each available channel and converges to the -optimal solution asymptotically.

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“…In DSA networks, users who have no spectrum licenses, known as SUs, are allowed to use the spectrum. In this paper, we will focus on DSA networks with hierarchical and overlay access [14]. In the hierarchical access model, SUs use spectrum that is licensed to primary users (PUs).…”

Section: Introductionmentioning

confidence: 99%

Flexible Dynamic Spectrum Allocation in Cognitive Radio Networks Based on Game-Theoretical Mechanism Design

et al. 2011

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Abstract. In this paper we present an approach based on game-theoretical mechanism design for dynamic spectrum allocation in cognitive radio networks. Secondary users (SU) detect when channels can be used without disrupting any primary user and try to use them opportunistically. When an SU detects a free channel, it estimates its capacity and sends the valuation of it to a central manager. The manager calculates a conflict-free allocation by implementing a truthful mechanism. The SUs have to pay for the allocation an amount which depends on the set of valuations, and they behave as benefit maximizers. We present and test two mechanisms implementing this idea which are proved to be truthful, and that are tractable and approximately efficient. We show the flexibility of these mechanisms by illustrating how they can be modified to achieve other objectives such as fairness and also how they can operate without really charging the SUs.

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A Survey of Dynamic Spectrum Access: Signal Processing and Networking Perspectives

Cited by 310 publications

References 37 publications

Combining Spot and Futures Markets: A Hybrid Market Approach to Dynamic Spectrum Access

Combining Spot and Futures Markets: A Hybrid Market Approach to Dynamic Spectrum Access

Stochastic Channel Selection in Cognitive Radio Networks

Flexible Dynamic Spectrum Allocation in Cognitive Radio Networks Based on Game-Theoretical Mechanism Design

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