An Optimal Strategy for Determining True Bidding Values in Secure Spectrum Auctions

Shajaiah, Haya; Abdelhadi, Ahmed; Clancy, T. Charles

doi:10.1109/jsyst.2018.2829833

Cited by 11 publications

(2 citation statements)

References 37 publications

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“…The three private telecom providers, Reliance Jio Infocomm, Bharti Airtel, and Vi, are allowed to purchase more spectrum to sustain their network's growing user base [7]. The pre-bid conference for the spectrum auctions was attended by a number of telecom providers, including Reliance Jio, Bharti Airtel, and Vodafone Idea.…”

Section: Introductionmentioning

confidence: 99%

The Analysis and Discussion of Spectrum Auctions Based on Case Study

Dang¹,

Li²

2022

EHSS

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With the prevalence of technology, there is a growing demand for telecommunications, which has led to a scarcity of spectrum. In order to allocate the usage of the spectrum more rationally, many countries have started to use spectrum auctions that can maximize the utilization of limited spectrum resources. However, some potential risks, such as insecurity, might be caused during the process of auctioning the spectrum. This article analyzes the spectrum auctions based on a series of case studies, obtaining the advantages and disadvantages of the discussion. Besides, there is a need for more research to be carried out to investigate the fraudulent conduct of some auctioneers and the manipulative actions of bidders.

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Section: Introductionmentioning

confidence: 99%

The Analysis and Discussion of Spectrum Auctions Based on Case Study

Dang¹,

Li²

2022

EHSS

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“…Spectrum resource allocation is similar to a multi-objective optimization problem, which needs to consider the frequency of multiple users. For spectrum resource allocation, classical spectrum allocation methods include graph theory model [3,4], game theory model [5,6], interference temperature model [7] and auction auction model [8,9].…”

Section: Introductionmentioning

confidence: 99%

An Improved Monarch Butterflfly Spectrum Allocation Algorithm for Multi-Source Data Stream in Complex Electromagnetic Environment

Liu

Cao

Han

2022

Preprint

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In the era of the Internet of Everything, various wireless devices and sensors use spectrum, which is a precious and non-renewable resource, to communication. Due to the characteristics of massive, heterogeneous, and multi-source, the generated multi-source data stream brings diffiffifficulties to spectrum cognition. As a result, unreasonable spectrum allocation strategy leads to low utilization of spectrum resources. Optimizing spectrum allocation strategy can effffectively improve spectrum utilization. Aiming at the problem of trapped local optimum solution in the genetic algorithm(GA) and particle swarm optimization algorithm(PSO), an improved monarch butterflfly algorithm is proposed. Firstly,this paper employs the simulated annealing algorithm to select the migration rate, which increases the diversity of monarch butterflfly population. Secondly, chaos mapping algorithm is utilized to improve the optimization ability and convergence speed. Finally, for the non-renewal mechanism of monarch butterflfly algorithrm, the wandering behavior of wolf pack algorithm is introduced to update the population and improve the population diversity. The experimental results show that the improved monarch butterflfly algorithm outperforms the other two algorithms in terms of convergence speed and system revenue.

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