The Benefits of Hybrid Caching in Gauss–Poisson D2D Networks

Device caching has recently been proposed as an efficient way to offload traffic from congested cellular networks. However, previous works usually ignore the fact that, in practice, the user device may not be willing to help others due to the limited battery capacity. In this paper, we introduce cooperation among the device-to-device (D2D) transmitters and propose two novel hybrid caching strategies—single-point caching combined with two-point cooperative caching with joint transmission (SPC-CCJT) or multi-stream transmission (SPC-CCMT)—aiming at saving the energy cost of content deliverers. Using tools from stochastic geometry, we propose an analytical framework of the hybrid caching strategies by modeling the locations of the D2D transmitters as a Gauss–Poisson process (GPP) to accurately capture the clustering and cooperative behaviors. First, we consider a probabilistic caching placement and optimize the caching distribution to maximize the cache hit probability. Second, to compare the performance between different content delivery strategies, we derive the success probability and per-user capacity for SPC, CCJT, and CCMT, respectively. These results are then applied to evaluate the offloading gain and the distribution of the content retrieval delay for SPC-CCJT and SPC-CCMT in the GPP-based D2D networks. It turns out that significant offloading gain and delay improvement can be achieved by hybrid caching with cooperation while the energy cost of each cooperator is kept low.

[1]  Giuseppe Caire,et al.  Cache-Induced Hierarchical Cooperation in Wireless Device-to-Device Caching Networks , 2016, IEEE Transactions on Information Theory.

[2]  Navid Naderializadeh,et al.  How to utilize caching to improve spectral efficiency in device-to-device wireless networks , 2014, 2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[3]  Andreas F. Molisch,et al.  Cache-Enabled Device-to-Device Communications: Offloading Gain and Energy Cost , 2016, IEEE Transactions on Wireless Communications.

[4]  Valerio Bioglio,et al.  Optimizing MDS Codes for Caching at the Edge , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[5]  Peter Han Joo Chong,et al.  Fundamentals of Cluster-Centric Content Placement in Cache-Enabled Device-to-Device Networks , 2015, IEEE Transactions on Communications.

[6]  Martin Haenggi,et al.  The Meta Distribution of the SIR in Poisson Bipolar and Cellular Networks , 2015, IEEE Transactions on Wireless Communications.

[7]  Martin Haenggi,et al.  Stochastic Geometry for Wireless Networks , 2012 .

[8]  Martin Haenggi,et al.  The Performance of Successive Interference Cancellation in Random Wireless Networks , 2012, IEEE Transactions on Information Theory.

[9]  Martin Haenggi,et al.  The Gauss–Poisson Process for Wireless Networks and the Benefits of Cooperation , 2016, IEEE Transactions on Communications.

[10]  Wenyi Zhang,et al.  Caching-Based Scalable Video Transmission Over Cellular Networks , 2016, IEEE Communications Letters.

[11]  A. Antonopoulos,et al.  D2D-Aware Device Caching in mmWave-Cellular Networks , 2017, IEEE Journal on Selected Areas in Communications.

[12]  D. Newman,et al.  A new family of point processes which are characterized by their second moment properties , 1970, Journal of Applied Probability.

[13]  Harpreet S. Dhillon,et al.  Distributed caching in device-to-device networks: A stochastic geometry perspective , 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

[14]  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.

[15]  Bartlomiej Blaszczyszyn,et al.  Optimal geographic caching in cellular networks , 2014, 2015 IEEE International Conference on Communications (ICC).

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

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

[18]  Li Fan,et al.  Web caching and Zipf-like distributions: evidence and implications , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[19]  Alexandros G. Dimakis,et al.  Base-Station Assisted Device-to-Device Communications for High-Throughput Wireless Video Networks , 2013, IEEE Transactions on Wireless Communications.

[20]  Giuseppe Caire,et al.  Wireless Device-to-Device Caching Networks: Basic Principles and System Performance , 2013, IEEE Journal on Selected Areas in Communications.

[21]  Meixia Tao,et al.  Modeling, Analysis, and Optimization of Coded Caching in Small-Cell Networks , 2017, IEEE Transactions on Communications.

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

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