A truthful content auction scheme for distributee content delivery in ultra-dense networks

At the edge of the network with cache servers, researchers usually focused on how to cache the contents or how to deliver cached contents from edge network to user equipment (UE). In this paper, we study the content delivery scheme in ultra-dense network (UDN) scenario. Since small cells (SCs) are densely and largely deployed in UDNs, it is hard to operate the SCs with a central unit. Thus, our delivery scheme should be implemented in a distributed way. We firstly utilize auction to model the content delivery problem, where UE intend to acquire interested contents from SCs. Then, the content delivery relationship is constructed by the content trading process. Then, an auction based truthful and distributed content delivery (ATDCD) algorithm is designed. Within ATDCD, a distributed auctioneer protocol is introduced to effectively prevent SCs falling in to collusion and guarantee the c-resiliency for sellers. Extensive simulation results are done to show that ATDCD can achieve truthfulness as well as high performance.

[1]  Xiao Ma,et al.  Enhancement for content delivery with proximity communications in caching enabled wireless networks: architecture and challenges , 2016, IEEE Communications Magazine.

[2]  Shuaiqun Wang,et al.  Mode Selection for Energy Efficient Content Delivery in Cellular Networks , 2016, IEEE Communications Letters.

[3]  Mianxiong Dong,et al.  Energy-Efficient Context-Aware Matching for Resource Allocation in Ultra-Dense Small Cells , 2015, IEEE Access.

[4]  Vincent K. N. Lau,et al.  How Much Cache is Needed to Achieve Linear Capacity Scaling in Backhaul-Limited Dense Wireless Networks? , 2017, IEEE/ACM Transactions on Networking.

[5]  Song Guo,et al.  A Truthful Double Auction for Device-to-Device Communications in Cellular Networks , 2016, IEEE Journal on Selected Areas in Communications.

[6]  Alexandros G. Dimakis,et al.  Scaling Behavior for Device-to-Device Communications With Distributed Caching , 2014, IEEE Transactions on Information Theory.

[7]  Deniz Gündüz,et al.  Wireless Content Caching for Small Cell and D2D Networks , 2016, IEEE Journal on Selected Areas in Communications.

[8]  Jian Li,et al.  Flexible Resource Allocation in 5G Ultra Dense Network with Self-Backhaul , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).

[9]  Xiaojiang Du,et al.  Interference management for heterogeneous networks with spectral efficiency improvement , 2015, IEEE Wireless Communications.

[10]  Urs Niesen,et al.  Fundamental Limits of Caching , 2014, IEEE Trans. Inf. Theory.

[11]  Jeffrey G. Andrews,et al.  Optimizing Content Caching to Maximize the Density of Successful Receptions in Device-to-Device Networking , 2016, IEEE Transactions on Communications.

[12]  Jan Markendahl,et al.  EU FP7 INFSO-ICT-317669 METIS, D1.1 Scenarios, requirements and KPIs for 5G mobile and wireless system , 2013 .

[13]  Luís E. T. Rodrigues,et al.  A Distributed Auctioneer for Resource Allocation in Decentralized Systems , 2016, 2016 IEEE 36th International Conference on Distributed Computing Systems (ICDCS).

[14]  Xing Zhang,et al.  Cache-Enabled Software Defined Heterogeneous Networks for Green and Flexible 5G Networks , 2016, IEEE Access.

[15]  Osvaldo Simeone,et al.  Harnessing cloud and edge synergies: toward an information theory of fog radio access networks , 2016, IEEE Communications Magazine.

[16]  Xiaofei Wang,et al.  Cache in the air: exploiting content caching and delivery techniques for 5G systems , 2014, IEEE Communications Magazine.

[17]  Lingyang Song,et al.  Caching as a Service: Small-Cell Caching Mechanism Design for Service Providers , 2016, IEEE Transactions on Wireless Communications.

[18]  Victor C. M. Leung,et al.  Content caching scheme for D2D communication underlaying cellular networks with capacoty restriction , 2016, 2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC).

[19]  F. Richard Yu,et al.  Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Networks with Femtocells , 2012, IEEE Transactions on Wireless Communications.

[20]  F. Richard Yu,et al.  Spectrum sharing and resource allocation for energy-efficient heterogeneous cognitive radio networks with femtocells , 2012, 2012 IEEE International Conference on Communications (ICC).

[21]  Wei Chen,et al.  GreenDelivery: proactive content caching and push with energy-harvesting-based small cells , 2015, IEEE Communications Magazine.