CAP: A ContAct based Proximity service via opportunistic device-to-device relay

The research progress of 5G has brought a number of novel technologies to meet the multi-dimensional demands. Device-to-Device (D2D) communication is a way to no longer treat the User Equipments (UEs) as terminal, but rather as a part of network (known as helpers) for service provisioning. Such a way potentially increases the coverage and also expands the capacity of cellular network. In this paper, we propose a generic framework for Proximity as a Service (PaaS) with demands of service continuity, namely ContAct based Proximity (CAP) via opportunistic D2D communication. Mainly, fruitful contact information (e.g., contact duration, frequency and interval) is captured as a key metric, to handle an ubiquitous and PaaS through the optimal selection of helpers. The nature of CAP is evaluated under the Helsinki city scenario, with key factors influencing the service demands (e.g., success ratio, disruption duration and frequency). Simulation results show the advantage of CAP, in both success ratio and continuity of the service. This work is the first one to evaluate LTE-Direct and WiFi-Direct in opportunistic proximity services.

[1]  Zhang Jian,et al.  Adaptive flow control proxy for enhancing downlink TCP throughput in infrastructure WLANs , 2014, 2014 14th International Symposium on Communications and Information Technologies (ISCIT).

[2]  Zhili Sun,et al.  A Reliable and Efficient Encounter-Based Routing Framework for Delay/Disruption Tolerant Networks , 2015, IEEE Sensors Journal.

[3]  AKHIL GUPTA,et al.  A Survey of 5G Network: Architecture and Emerging Technologies , 2015, IEEE Access.

[4]  Qing Wang,et al.  A Survey on Device-to-Device Communication in Cellular Networks , 2013, IEEE Communications Surveys & Tutorials.

[5]  Sujit Gujar,et al.  LocalCoin: An ad-hoc payment scheme for areas with high connectivity: poster , 2016, MobiHoc.

[6]  Alexandros G. Dimakis,et al.  FemtoCaching: Wireless video content delivery through distributed caching helpers , 2011, 2012 Proceedings IEEE INFOCOM.

[7]  Zhili Sun,et al.  Routing in Delay/Disruption Tolerant Networks: A Taxonomy, Survey and Challenges , 2013, IEEE Communications Surveys & Tutorials.

[8]  Jörg Ott,et al.  The ONE simulator for DTN protocol evaluation , 2009, SimuTools.

[9]  Pan Hui,et al.  OPENRP: a reputation middleware for opportunistic crowd computing , 2016, IEEE Communications Magazine.

[10]  Aravind Srinivasan,et al.  Cellular traffic offloading through opportunistic communications: a case study , 2010, CHANTS '10.

[11]  Aleksandr Ometov,et al.  A unifying perspective on proximity-based cellular-assisted mobile social networking , 2016, IEEE Communications Magazine.

[12]  Pan Hui,et al.  ReadMe: A Real-Time Recommendation System for Mobile Augmented Reality Ecosystems , 2016, ACM Multimedia.

[13]  Pan Hui,et al.  Keep your nice friends close, but your rich friends closer — Computation offloading using NFC , 2016, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

[14]  Swapnesh C. Patel,et al.  Beacon for Proximity Target Marketing , 2016 .

[15]  Ozan K. Tonguz,et al.  Routing in Sparse Vehicular Ad Hoc Wireless Networks , 2007, IEEE Journal on Selected Areas in Communications.

[16]  Jeffrey G. Andrews,et al.  A Comprehensive Framework for Device-to-Device Communications in Cellular Networks , 2013, ArXiv.

[17]  Carl Wijting,et al.  Device-to-device communication as an underlay to LTE-advanced networks , 2009, IEEE Communications Magazine.

[18]  Pan Hui,et al.  How sustainable is social based mobile crowdsensing? An experimental study , 2016, 2016 IEEE 24th International Conference on Network Protocols (ICNP).