An Auction-Based Spectrum Leasing Mechanism for Mobile Macro-Femtocell Networks of IoT

Chen, Xin; Xing, Lei; Qiu, Tie; Li, Zhuo

doi:10.3390/s17020380

Cited by 18 publications

(8 citation statements)

References 40 publications

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“…On the other hand, from the suppliers' (the InP or MVNOs with excess resources) point of view, the optimal outcome is for the slice to be sold Auctions, in particular, are very popular as market resolution tools [144]. The resources that are traded in these resource markets range from spatial streams [93] to spectrum/antennas [150], and resource blocks [151]. industry, e-health, etc.)…”

Section: Distributed 5g Network Slicing Marketplacementioning

confidence: 99%

Techno-economics of Optical Access Network Sharing

Afraz¹

2021

Preprint

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Several parallel trends, including the growing number of Internet reliant devices/services, increasing Internet penetration rates, and the continuing popularity of bandwidth-hungry multimedia content contribute to the exponential surge of Internet traffic. The combination of these trends could imply a considerable increase in network infrastructure investment for the telecom and broadband operators. In addition, the high cost of initial investment could escalate the market barriers to entry for the innovative service providers incapable of deploying their own network infrastructure. In this dissertation, we explore if and how enabling optical access network sharing could cultivate new network ownership and business models that simultaneously keep the end-user subscription fees low and facilitate the market entry for the smaller service providers. We aim to identify and address the technological and economic barriers of optical access network sharing. The broad scope of this dissertation concerns the inter-operator sharing of optical access networks which connect the end-users to the operators' network in the last-mile. The access segment of the communications network is recognized to be the most costly due to its deployment scale. Therefore, a reduction in cost in the access will have a multi-fold impact on the overall capital expenditure for network deployments. The dissertation focuses in particular on PONs as the most widespread type of optical access networks. The central argument of the present research is that network infrastructure/resource sharing has the potential to reduce the capital and operational expenditure of the network operators. This will allow for more competition as the market entrance cost decreases. We first address the lack of tenant operators' adequate control over the shared resources in a multi-tenant PON as a technological barrier. We provide a solution to strengthen the network operators' control over their share of the network in a multi-tenant PON. This is made possible by allowing the operators to schedule the transmission over the network using tailored algorithms to meet their requirements (e.g., latency and throughput). The dissertation argues that providing a virtual (software) instance of the DBA algorithm as opposed to the inflexible hardware implementation first enables the coexistence of various services on the PON and second, improves the overall utilization of the network capacity. While the virtualization of the DBA removes the technical barrier for the inter-operator resource sharing, it does not come with a natural incentive for the operators to share their resources with competitors. Therefore we tackle the lack of incentive for sharing excess network capacity in PON by providing monetary compensation in return for sharing. We model the multi-tenant optical access network with multiple coexisting operators as a market where they can exchange their excess capacity. We propose a sealed-bid multi-item double auction to enable capacity trading between the network operators. Through mathematical proof and market simulation/visualization, we prove that the proposed auction mechanism meets the essential requirements for an economic robust market mechanism (e.g., incentive compatibility, individual rationality, and budget balance). This provides trusted market conduct in the presence of a central authority (e.g., the public infrastructure provider) that all the operators trust.

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Section: Distributed 5g Network Slicing Marketplacementioning

confidence: 99%

Techno-economics of Optical Access Network Sharing

Afraz¹

2021

Preprint

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“…Moreover, Chen, Xing, Qiu and Li note that the popularity of this technology stems from the fact that the internet offers a comprehensive market information as well as the requisite infrastructure for the execution of auctions at relatively lower costs. [11] Today, there are two common types of eAuction model, which were designed by Timothy Leunga and William Knottenbeltb. These models include and forward auction' and the 'for reverse auction,' which typically defines the mechanisms associated with bidding as well as the accompanying results.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Online E –Auction to Overcome the Problem of Corruption with Effective and Efficient Procurement with Transparency

Anand¹

2021

TURCOMAT

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This research paper explores the concept of e-Auction, an increasingly form of online procurement. There is fixed delivery policy. This is a fully dynamic system which can be easily operated by the users. This research paper explores all the increasing form of online procurement. Online e auction system is gaining popularity day by day because of its ease of making online bidding and selling or buying. Users can freely go the website and register there and it’s ready for selling or buying their product. The main thing that is needed to be there is trust among the users, so that they can easily register and take part in the process without having any doubt regarding security. The aim of any online system are related with two points that are: 1.Customer satisfaction 2.Business purpose. Therefore, to meet these requirements there must be need of making enhancements in the online auction system. This paper will explore the all forms of online procurement that we can make to improve the current system.

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“…Proposed iterative gradient decent algorithm proved to be effective in quick convergence to Nash equilibria for both macrocell operator (MCO) and femtocell operators (FCOs). For solving pricing problem between MCO and FCOs authors in [7] employed auction mechanism, which is highly organized and efficient form of allocation of scarce resources. Knapsack algorithm was used in order to find optimal strategy leading to profit maximization for both MCO and FCOs.…”

Section: Introductionmentioning

confidence: 99%

Financial Implications of Femtocell Deployment

et al. 2018

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Increased usage in wireless communication has been observed in the last decades and it is expected to rise even more. Traditional spectrum allocation mechanism together with increasing demand for data transfers caused spectrum to become more congested. As a consequence, high pressure for its more effective usage emerges. Modern concept of heterogeneous networks with cognitive femtocells represents one of the promising solutions. Associated technical issues of heterogeneous networks have been discussed in many papers. However, economic aspects of femtocell deployment in network are still insufficiently analysed. This paper is devoted to economic aspects of operators’ behaviour in the macro-femto network but we also focus on technical issue of overall spectrum usage. For this purpose, the agent-based model of two-tier network was proposed. Results of simulation confirm significant influence of number of deployed femtocells and their location in the network on operators’ pricing strategies and their whole economic performance.

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An Auction-Based Spectrum Leasing Mechanism for Mobile Macro-Femtocell Networks of IoT

Cited by 18 publications

References 40 publications

Techno-economics of Optical Access Network Sharing

Techno-economics of Optical Access Network Sharing

Implementation of Online E –Auction to Overcome the Problem of Corruption with Effective and Efficient Procurement with Transparency

Financial Implications of Femtocell Deployment

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