Auction-Based Spectrum Sharing

Huang, Jianwei; Berry, Randall A.; Honig, Michael L.

doi:10.1007/s11036-006-5192-y

Cited by 547 publications

(395 citation statements)

References 16 publications

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“…Auctions are particularly suitable for the information asymmetry scenario. With a well-designed auction, buyers (bidders) have the incentive to bid for the resource in a truthful manner, and the seller can allocate the resource efficiently without knowing the buyers' private information in advance (see, e.g., Huang et al (2006), Li et al (2008), Gandhi et al (2007), Wang et al (2010), Zhou et al (2008), Zhou & Zheng (2009)). However, the above work considers the secondary spectrum trading in a pure spectrum market (i.e., either spot or futures market).…”

Section: Secondary Spectrum Trading For Dsamentioning

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%

“…Auction: Huang et al (2006), Gandhi et al (2007), Li et al (2008), Wang et al (2010), Zhou et al (2008), Zhou & Zheng (2009).…”

Section: Spot Marketmentioning

confidence: 99%

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

Gao

Shou

Chen

et al. 2016

Operations Research

Self Cite

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“…In [10] the relay and filter design mechanism is discussed which is useful in orthogonal frequency modulation for cognitive radio network by Donggun Kim, Youngchul Sung and Jihoon Chung. The parameters are defined for the channel sensing for PU and SU.…”

Section: In [4] "A Strategy-proof Combinatorial Heterogeneous Channelmentioning

confidence: 99%

A New Technique of Auction Based Spectrum Allocation for CR Network

2016

IJSR

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Abstract:The survey of Federal Communications Commission (FCC) in 2002, shows that spectrum access is more significant problem than physical scarcity of spectrum. With many technological advances in the field of wireless communication the demand for radio spectrum has tremendously increased and with the standardization of MBMS (multimedia broadcast and multicast services) it has gained significant interest in the market. With the diversification of wireless communication services and the proliferation of different wireless network technologies, the demand for radio spectrum is increasing dramatically. However, spectrum measurements indicate that the allocated spectrum is not fully utilized, that is, there exists unused spectrum. Cognitive radio has attracted an increasing amount of interest over the past few years as an effective method of alleviating the spectrum scarcity problem in wireless communications. One of the most promising approaches in cognitive radio is the opportunistic spectrum access, which enables unlicensed users to access licensed frequency bands that are detected to be idle. We develop a truthful and efficient combinatorial auction scheme under a novel spectrum allocation model. Once the spectrum is sensed next important step for cognitive radio is allocation of available spectrum (The available spectrum holes, i.e., frequency bands assigned to a primary user but that are vacant in a given place at a given time, can be estimated with spectrum sensing).There are different spectrum allocation mechanism are available such as auction mechanism, first come first serve etc. We use auction mechanism in our project. According to the usage of secondary user in term of time and frequency and available spectrum primary operator (PO) allocate this spectrum on the basis of one time bidding of secondary users. The algorithm approach will be developed using Matlab environment.

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“…Game models have been developed to model the behavior of secondary users accessing the idle spectrum, and obtain a multiple access solution or equilibrium in the CRN [59][60][61]. In particular, a spectrum auction is a typical economic model for dynamic spectrum sharing [62]. Another strong model is machine learning, which decides on the available spectrum by learning from the spectrum decision experience [63].…”

Section: Optimized Decision In a Crnmentioning

confidence: 99%

Intelligent and efficient development of wireless networks: A review of cognitive radio networks

et al. 2012

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Facing the challenges on how to improve spectrum efficiency and how to realize heterogeneous network convergence in future wireless networks, a cognitive radio network (CRN) is proposed as one of the solutions. This has become a major research topic in recent years and it is timely to give an overview of the development of CRN and to summarize key issues and technologies. The fundamental concepts of CRN, including the cognitive cycle model, the network architecture, and the cognitive ability and intelligent decision functions, are introduced in detail based on recent advances. Key issues for each topic, followed with recent research on theory and method, are then classified and the industrialization developments of CRN testbeds based on TD-LTE cellular system and standards are briefly presented. Finally, conclusions are reached on the perspectives and directions of future development.cognitive radio networks, network architecture, cognitive ability, spectrum sensing, intelligent decision and dynamic spectrum allocation, end-to-end performance Driven by the requirements of ubiquitous wireless access and personalized wireless applications [1], worldwide, numerous wireless technologies are invading our lives, such as evolutionary telecommunication technologies, wideband wireless access and short distance wireless technologies. Furthermore, the concept of the internet of things (IoT) has become widespread based on the development of wireless sensor networks. With the explosive development of wireless technologies, several challenges must be addressed. The electromagnetic spectrum, whose use is licensed and managed by government, has been scarce for allocation to ubiquitous wireless applications. However, contrary to the physical scarcity of the available spectrum, the report published by the federal communication commission (FCC) shows that over 60 % of the licensed spectrum below 6 GHz remains underused [2,3]. The measurement results in Figure 1 taken in Beijing over a one month period, also indicate low spectrum use consistent with the results released by the FCC. Therefore, improvement of spectrum efficiency is the first challenge to be examined. On the other hand, the end-to-end performance of wireless networks is considered to be the performance indicator for ubiquitous and personalized wireless applications [4], such as end-to-end throughput, end-to-end delay and routing scheme, which take into account all network elements in a data transmission flow across different layers for the global optimization from the network aspect. Because the property of heterogeneity causes low radio resource use and mutual interference among heterogeneous networks, the other big challenge is that heterogeneous network convergence is needed to improve the end-to-end performance of wireless networks.Cognitive radio (CR), proposed by Mitola in 1999 [5,6], is considered a feasible solution for improving spectrum efficiency. Furthermore, a cognitive radio network (CRN), which is defined as a wireless network with the capabilities

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Auction-Based Spectrum Sharing

Cited by 547 publications

References 16 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

A New Technique of Auction Based Spectrum Allocation for CR Network

Intelligent and efficient development of wireless networks: A review of cognitive radio networks

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