Reverse spectrum auction algorithm for cellular network offloading

Zhao, Feng; Xu, Xiaofei; Chen, Hongbin

doi:10.1016/j.adhoc.2016.03.003

Cited by 7 publications

(3 citation statements)

References 21 publications

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“…Data traffic offload is a challenge in D2D cellular networks since a large number of devices attempt to access a network simultaneously [19,20]. The works in [21][22][23][24][25][26] discussed various mobile data offloading techniques to improve system spectral efficiency. In [21], the authors proposed an efficient spectrum offloading technique in HetNets based on a reverse auction algorithm to maximize the benefit of a cellular service provider.…”

Section: Related Workmentioning

confidence: 99%

“…The results showed that by guaranteeing spectral efficiency and truthfulness, their proposed scheme achieved higher system performance compared with existing methods. In [25], the authors proposed a spectrum auction algorithm for cellular network offloading. The dynamic characteristics of cellular network traffic demands were analyzed to minimize the costs sustained by the mobile network.…”

Section: Related Workmentioning

confidence: 99%

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Traffic Offloading in Multicast Device-to-Device Cellular Networks: A Combinatorial Auction-Based Matching Algorithm

Ningombam

Shin

2020

Sensors

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In the last few years, multicast device-to-device (D2D) cellular networks has become a highly attractive area of research. However, a particularly challenging class of issues in this area is data traffic, which increases due to increase in video and audio streaming applications. Therefore, there is need for smart spectrum management policies. In this paper, we consider a fractional frequency reuse (FFR) technique which divides the whole spectrum into multiple sections and allows reusing of spectrum resources between the conventional cellular users and multicast D2D users in a non-orthogonal scenario. Since conventional cellular users and multicast D2D users shared same resources simultaneously, they generate severe data traffic and high communication overhead. To overcome these issues, in this paper we propose Lagrange relaxation technique to solve the non-convex problem and combinatorial auction-based matching algorithm to select the most desirable resource reuse partners by fulfilling the quality of service (QoS) requirements for both the conventional cellular users and multicast D2D users. Then, we formulate an optimization problem to maximize the overall system performance with least computational complexity. We demonstrate that our method can exploit a higher data rate, spectrum efficiency, traffic offload rate, coverage probability, and lower computational complexity.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Traffic Offloading in Multicast Device-to-Device Cellular Networks: A Combinatorial Auction-Based Matching Algorithm

Ningombam

Shin

2020

Sensors

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“…To deal with the uncertain traffic of MBS, authors have used auction-based incentive mechanism in [28,29]. In [28], a truthful reverse auction incentive framework is designed, considering dynamic characteristics of traffic demand and offloading simultaneously. To represent the price uncertainty, a bid which is a quadratic function of spectrum resource is proposed.…”

Section: Reverse-auction Game-theoretic Approachmentioning

confidence: 99%

A Review on Game-Theoretic Incentive Mechanisms for Mobile Data Offloading in Heterogeneous Networks

Noreen

Saxena

2017

IETE Technical Review

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Mobile data offloading through complementary network is an efficient approach to mitigate network congestion and enhance user's Quality of Service (QoS). Data offloading techniques require the investigation of economic benefits for service providers, conflicts resulting from the interplay of different agents, and proper cooperation of the entities involved in the process. Game theory uses mathematical models to understand the interactions among multiagents. It can be utilized to analyse individual or group behaviour of entities for data offloading. Game theory also models the selfish behaviour of nodes and accordingly is useful in designing the reward/punishment mechanisms for the players involved in data offloading game. In this survey, we present an exhaustive review of game models developed to motivate small cell operators, for providing hybrid access in the heterogeneous networks. Specifically, this review aims to cover network-initiated data offloading approaches, in which the cellular operator controls the offloading procedure.

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An auction-and-negotiation based procurement strategy for multiple splitable items

Wang

2019

2019 Chinese Control and Decision Conference (CCDC)

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Reverse spectrum auction algorithm for cellular network offloading

Cited by 7 publications

References 21 publications

Traffic Offloading in Multicast Device-to-Device Cellular Networks: A Combinatorial Auction-Based Matching Algorithm

Traffic Offloading in Multicast Device-to-Device Cellular Networks: A Combinatorial Auction-Based Matching Algorithm

A Review on Game-Theoretic Incentive Mechanisms for Mobile Data Offloading in Heterogeneous Networks

An auction-and-negotiation based procurement strategy for multiple splitable items

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