Space-Reserved Cooperative Caching in 5G Heterogeneous Networks for Industrial IoT

The large amount of data among billions of devices deployed for Industrial Internet of Things (IIoT) cause a massive energy consumption. Driven by the pursuit of green communication, this paper presents a space-reserved cooperative caching scheme for IIoT in the fifth generation mobile heterogeneous networks, where the cache space in a base station is divided into two parts, one is used to store the prefetched data from the servers ahead of the device request time and the other is reserved to store the temporarily buffering data in the wireless transmission queue at the device request time. With the constraint that the quality of service is guaranteed, we propose an algorithm to obtain the optimal proportion between the two parts of the cache space for the purpose of reducing the average energy consumption. Simulation results verified that the proposed caching scheme is more efficient than the conventional one with respect to the average energy consumption.

[1]  Victor C. M. Leung,et al.  Software Defined Networking, Caching, and Computing for Green Wireless Networks , 2016, IEEE Communications Magazine.

[2]  Alexandros G. Dimakis,et al.  Femtocaching and device-to-device collaboration: A new architecture for wireless video distribution , 2012, IEEE Communications Magazine.

[3]  Nei Kato,et al.  An efficient method for minimizing energy consumption of user equipment in storage-embedded heterogeneous networks , 2014, IEEE Wireless Communications.

[4]  Babak Hossein Khalaj,et al.  Stability, Rate, and Delay Analysis of Single Bottleneck Caching Networks , 2016, IEEE Transactions on Communications.

[5]  Tony Q. S. Quek,et al.  Cluster-centric cache utilization design in cooperative small cell networks , 2016, 2016 IEEE International Conference on Communications (ICC).

[6]  Konstantinos Poularakis,et al.  Approximation Algorithms for Mobile Data Caching in Small Cell Networks , 2014, IEEE Transactions on Communications.

[7]  Urs Niesen,et al.  Coded Caching With Nonuniform Demands , 2017, IEEE Transactions on Information Theory.

[8]  Satyajayant Misra,et al.  IC-MCN: An architecture for an information-centric mobile converged network , 2016, IEEE Communications Magazine.

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

[10]  Matti Latva-aho,et al.  Content-aware user clustering and caching in wireless small cell networks , 2014, 2014 11th International Symposium on Wireless Communications Systems (ISWCS).

[11]  Irina A. Brusakova,et al.  Prospects for the development of IIOT technology in Russia , 2017, 2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).

[12]  Hui Liu,et al.  Delay Analysis and Optimization in Cache-Enabled Multi-Cell Cooperative Networks , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[13]  Yi-Han Chiang,et al.  ENCORE: An energy-aware multicell cooperation in heterogeneous networks with content caching , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

[14]  Shahid Mumtaz,et al.  Massive Internet of Things for Industrial Applications: Addressing Wireless IIoT Connectivity Challenges and Ecosystem Fragmentation , 2017, IEEE Industrial Electronics Magazine.

[15]  Mehdi Bennis,et al.  Living on the edge: The role of proactive caching in 5G wireless networks , 2014, IEEE Communications Magazine.

[16]  Lingyang Song,et al.  Game theoretic approaches for wireless proactive caching , 2016, IEEE Communications Magazine.

[17]  Jaime Llorca,et al.  Caching-aided coded multicasting with multiple random requests , 2015, 2015 IEEE Information Theory Workshop (ITW).

[18]  Dong Liu,et al.  Caching at the wireless edge: design aspects, challenges, and future directions , 2016, IEEE Communications Magazine.

[19]  Valerio Bioglio,et al.  On Energy-Efficient Edge Caching in Heterogeneous Networks , 2016, IEEE Journal on Selected Areas in Communications.

[20]  Leonard J. Cimini,et al.  MobiCacher: Mobility-aware content caching in small-cell networks , 2014, 2014 IEEE Global Communications Conference.

[21]  Zhisheng Niu,et al.  Proactive push with energy harvesting based small cells in heterogeneous networks , 2015, 2015 IEEE International Conference on Communications (ICC).

[22]  Jaime Llorca,et al.  Caching and coded multicasting: Multiple groupcast index coding , 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

[23]  Ming Xiao,et al.  Delay and stability analysis of caching in heterogeneous cellular networks , 2016, 2016 23rd International Conference on Telecommunications (ICT).

[24]  Konstantinos Poularakis,et al.  Exploiting user mobility for wireless content delivery , 2013, 2013 IEEE International Symposium on Information Theory.

[25]  AliAkbar Tadaion,et al.  A clustered caching placement in heterogeneous small cell networks with user mobility , 2015, 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

[26]  Liang Qian,et al.  The three primary colors of mobile systems , 2016, IEEE Communications Magazine.

[27]  Walid Saad,et al.  In-network caching and content placement in cooperative small cell networks , 2014, 1st International Conference on 5G for Ubiquitous Connectivity.

[28]  Giuseppe Caire,et al.  Wireless caching: technical misconceptions and business barriers , 2016, IEEE Communications Magazine.

[29]  F. Richard Yu,et al.  A survey of energy-efficient caching in information-centric networking , 2014, IEEE Communications Magazine.

[30]  Vincent K. N. Lau,et al.  PHY-caching in 5G wireless networks: design and analysis , 2016, IEEE Communications Magazine.

[31]  Hong Wen,et al.  Cross-Networks Energy Efficiency Tradeoff: From Wired Networks to Wireless Networks , 2017, IEEE Access.

[32]  Wei Yu,et al.  Content-Centric Sparse Multicast Beamforming for Cache-Enabled Cloud RAN , 2015, IEEE Transactions on Wireless Communications.

[33]  Sheldon M. Ross,et al.  Introduction to Probability Models (4th ed.). , 1990 .

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

[35]  Guangyi Liu,et al.  5G: Vision and Requirements for Mobile Communication System towards Year 2020 , 2016 .