Core-Selecting Secondary Spectrum Auctions

Zhu, Yuefei; Li, Baochun; Fu, Haoming; Li, Zongpeng

doi:10.1109/jsac.2014.141124

Cited by 13 publications

(3 citation statements)

References 31 publications

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“…To cope with the selfish behavior of the users, the AMS-FFR scheme is designed to be incentive-compatible, where truth-telling is the dominant strategy of the users competing for resources [28]. The dominant strategy is the one that maximizes the bidder's utility regardless of the other bidders' strategies [29].…”

Section: Proposed Ams-ffr Schemementioning

confidence: 99%

Auction Mechanism-Based Sectored Fractional Frequency Reuse for Irregular Geometry Multicellular Networks

et al. 2022

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Modern cellular systems have adopted dense frequency reuse to address the growing amount of mobile data traffic. The system capacity is improved accordingly; however, this is at the cost of augmented Inter-Cell Interference (ICI). Recently, Fractional Frequency Reuse (FFR) has emerged as an efficient ICI management scheme in Orthogonal Frequency-Division Multiple Access (OFDMA)-based cellular systems. However, the FFR scheme that leads to optimized spectrum allocation for individual users in the irregular geometry networks is not considered in the literature. Meanwhile, in the practical wireless scenario, the users are non-cooperative and want to maximize their demands. A game-theoretic Auction Mechanism-based Sectored-FFR (AMS-FFR) scheme is proposed in this paper to optimally distribute the bandwidth resources to the individual users in the realistic multicellular network deployment. In the proposed auction mechanism, the Base Station (BS) acts as an auctioneer and is the owner of sub-carriers. The users are permitted to bid for a bundle of sub-carriers corresponding to their traffic requirements. The Monte Carlo simulation results show that the presented AMS-FFR scheme outperforms the prevailing FFR schemes in terms of achievable throughput by 65% and 46% compared to the basic FFFR and dynamic FFR-3 schemes, respectively. Moreover, the average sum rate along with the user satisfaction is significantly increased while considering a full traffic load.

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Section: Proposed Ams-ffr Schemementioning

confidence: 99%

Auction Mechanism-Based Sectored Fractional Frequency Reuse for Irregular Geometry Multicellular Networks

et al. 2022

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“…The higher the hierarchy, the greater the need for confidentiality and data security. Secondly, according to the evaluation results of Attribute Relevance (AR) between users, all users are divided into different groups by using the metagraph theory [16], [19]. Assume that each user has a set of attributes that including specialty, access data preference, security level, etc., and denoted as U AS = {uas 1 , uas 2 , .…”

Section: A User Grouping Scheme Based On Attributes and Metagraphsmentioning

confidence: 99%

A Data Security Enhanced Access Control Mechanism in Mobile Edge Computing

et al. 2020

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Mobile edge computing, with characteristics of position awareness, mobile support, low latency, decentralization, and distribution, has received widespread attention from industry and academia, and has been applied to application areas such as intelligent transportation, smart city, and real-time big data analysis. However, it also brings the new security threats, especially data security threats during data access that leads to unauthorized/unauthorized access, alteration and disclosure of data, affecting the confidentiality and integrity of the data. Therefore, access control, as an important method to ensure the security of user data during data access, began to be applied to mobile edge computing. However, the existing access control has the disadvantages of coarse-grain, poor flexibility and accuracy, lack of internal attack considerations, etc., which cannot meet the needs of data security in practical applications of mobile edge computing. In this paper, a data security enhanced Fine-Grained Access Control mechanism (FGAC) is proposed to ensure data security during data access in mobile edge computing. In FGAC, a dynamic fine-grained trusted user grouping scheme based on attributes and metagraphs theory was first designed. Secondly, the scheme was combined with the traditional role-based access control mechanism to assign roles to users based on user group credibility. And then, based on attribute matching the user authentication further verifies whether the user is allowed to perform the access operations to achieve fine-grained data protection. Experimental results show that FGAC can effectively identify malicious users and make group adjustments, while achieving finegrained access control and assure the data security during the data access process in mobile edge computing.

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“…Pan et al 18 proposed a session-based spectrum auction system called spectrum cloud in multi-hop CR networks. Combinatorial auction has been considered in Zhu et al, 19 which means buyers can bid for combinations of spectrum bands. Li et al 20 proposed a novel multiround service-oriented combinatorial spectrum auction with two-tier framework support.…”

Section: Introductionmentioning

confidence: 99%

A multi-greedy spectrum auction algorithm for cognitive small cell networks

Zhao

Liu

Chen

2017

International Journal of Distributed Sensor Networks

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Cognitive small cell networks consisting of macro-and small cells are foreseen as a candidate solution to meet ever increasing requirements of broadband services and new applications. However, the traditional fixed spectrum allocation policy makes available spectrum resources for small cells insufficient. Therefore, an efficient spectrum allocation method is urgently needed that allows a large number of small cells to share spectrum resources with macro-cells. In this article, a real-time spectrum auction model is presented which aims at assigning the scarce spectrum resources to small cells quickly. The co-win situation is constructed, and the trade-off between spectrum utilization and revenues is controlled. Such a problem is formulated as an NP-hard optimization problem for which a low-complexity multi-greedy algorithm is proposed to obtain prices and spectrum allocations. The proposed algorithm can achieve conflict-free spectrum allocations that maximize the utility and spectrum allocation efficiency. Compared with the Vickrey-Clarke-Groves algorithm, simulation results show the higher utility and spectrum allocation efficiency of the proposed algorithm.

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Core-Selecting Secondary Spectrum Auctions

Cited by 13 publications

References 31 publications

Auction Mechanism-Based Sectored Fractional Frequency Reuse for Irregular Geometry Multicellular Networks

Auction Mechanism-Based Sectored Fractional Frequency Reuse for Irregular Geometry Multicellular Networks

A Data Security Enhanced Access Control Mechanism in Mobile Edge Computing

A multi-greedy spectrum auction algorithm for cognitive small cell networks

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