Incentive Mechanism Design for Two-Layer Wireless Edge Caching Networks Using Contract Theory

Liu, Tingting; Zhang, Liangpei; Shu, Feng; Guan, Haibing; Wu, Yongpeng; Han, Zhu

doi:10.1109/tsc.2018.2882842

Cited by 11 publications

(4 citation statements)

References 33 publications

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“…Ahmadi et al [3] applied coalition games to design subsidization from access network operators to CPs. Liu et al [18] investigated the scenario where the network operator leased small-cell resources to CPs via contract theory.…”

Section: Related Workmentioning

confidence: 99%

“…Although there exist substantial research on edge caching algorithms and optimizations [1], [2], [10]- [15], they generally lack systematic studies of the economic interactions between different entities in the system. Prior works on edge caching incentives [3], [4], [9], [16]- [18] do not specifically focus on the interplay between the ENO and the CPs, or do not explore the auction perspective, not to mention continuous dynamic auctions, failing to address the challenges above. See Section VI for details.…”

Section: Introductionmentioning

confidence: 99%

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Incentivizing Online Edge Caching via Auction - Based Subsidization

Song

Jiao

Yang

et al. 2022

2022 19th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)

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There exists a practical need for incentivizing content providers to cache contents at distributed network edges closer to users. However, this is a particularly challenging problem due to system environments that are uncertain, content placements that couple adjacent time slots, and economic properties that are desired but hard to ensure. In this paper, we present our design of an auction-based incentive mechanism for online edge caching. We formulate the long-term social cost minimization problem as a nonlinear mixed-integer program that addresses bid selections, user request dispatching, content placements, and payment determination in repetitive auctions. To solve this problem online, we devise a greedy approximation algorithm for solving each auction individually, and a lazy-replacement-based online algorithm that ties the series of auctions over time while dynamically pursuing the balance between downloading contents to new cache locations and keeping them at existing locations. We formally prove the approximation ratio for each single auction, the competitive ratio for the long-term social cost, as well as the truthfulness, the individual rationality, and the computational efficiency of our approach. Evaluations with real-world data have also validated and confirmed the practical superiority of our approach over multiple alternative algorithms.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Incentivizing Online Edge Caching via Auction - Based Subsidization

Song

Jiao

Yang

et al. 2022

2022 19th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)

View full text Add to dashboard Cite

show abstract

“…However, these three incentive mechanisms need to assume that UAV can obtain UEs' complete information such as channel conditions, resource requirements, and costs for caching, which is unrealistic for practical implements. Contract theory is an effective method to design incentive mechanisms in a monopoly market under asymmetric information [26][27][28][29]. In [27], a contract based on two-layer caching network services was proposed to maximize the profits of network service provider.…”

Section: Introductionmentioning

confidence: 99%

“…Contract theory is an effective method to design incentive mechanisms in a monopoly market under asymmetric information [26][27][28][29]. In [27], a contract based on two-layer caching network services was proposed to maximize the profits of network service provider. The authors of [28] devised an optimal contract, which formalized the compatibility of a client with a service and the safe replacement of a service with another service.…”

Section: Introductionmentioning

confidence: 99%

Edge caching strategy design and reward contract optimization for uAV-enabled mobile edge networks

Yin

Huang

et al. 2020

J Wireless Com Network

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Edge caching is a promising technology to alleviate the burden on backhaul and improve the quality of experience (QoE) of users in unmanned aerial vehicle (UAV)-enabled mobile edge networks, which has played an important role in wireless communication systems. However, owing to the selfish nature and limited battery life of the user equipments (UEs), only a limited part of the caching resources will be shared by the UEs. To drive the UEs to share more caching resources to improve the social welfare of the UAV-enabled mobile edge network, in this paper, we jointly design an edge caching strategy and reward contract optimization scheme. Aiming to maximize the utility of the UAV, a joint edge caching and contract optimization problem is formulated. Firstly, a novel edge caching strategy is proposed based on the content popularity. Then, an optimal reward contract is designed by reducing the restrictions. Finally, the system performance of the designed caching strategy and reward contract is evaluated compared with two benchmark caching schemes with no incentives. Simulation results show that the proposed scheme performs better than the other two schemes in terms of the utilities of the UAV and UEs, which proves the efficiency of our proposed scheme.

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