Wireless Device-to-Device Caching Networks: Basic Principles and System Performance

By Mingyue Ji, Giuseppe Caire, Andreas F. Molisch. IEEE Journal on Selected Areas in Communications, 2013

573 citations recorded by the source corpus.

As wireless video is the fastest growing form of data traffic, methods for spectrally efficient on-demand wireless video streaming are essential to both service providers and users. A key property of video on-demand is the asynchronous content reuse, such that a few popular files account for a large part of the traffic but are viewed by users at different times. Caching of content on wireless devices in conjunction with device-to-device (D2D) communications allows to exploit this property, and provide a network throughput that is significantly in excess of both the conventional approach of unicasting from cellular base stations and the traditional D2D networks for “regular” data traffic. This paper presents in a tutorial and concise form some recent results on the throughput scaling laws of wireless networks with caching and asynchronous content reuse, contrasting the D2D approach with other alternative approaches such as conventional unicasting, harmonic broadcasting, and a novel coded multicasting approach based on caching in the user devices and network-coded transmission from the cellular base station only. Somehow surprisingly, the D2D scheme with spatial reuse and simple decentralized random caching achieves the same near-optimal throughput scaling law as coded multicasting. Both schemes achieve an unbounded throughput gain (in terms of scaling law) with respect to conventional unicasting and harmonic broadcasting, in the relevant regime where the number of video files in the library is smaller than the total size of the distributed cache capacity in the network. To better understand the relative merits of these competing approaches, we consider a holistic D2D system design incorporating traditional microwave (2 GHz) and millimeter-wave (mm-wave) D2D links; the direct connections to the base station can be used to provide those rare video requests that cannot be found in local caches. We provide extensive simulation results under a variety of system settings and compare our scheme with the systems that exploit transmission from the base station only. We show that, also in realistic conditions and nonasymptotic regimes, the proposed D2D approach offers very significant throughput gains.

Subfields: Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/b7af39275de2781971dac80d39ac411f903b18dd

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Citations in the corpus

Caching at the wireless edge: design aspects, challenges, and future directions (2016, methodology): “Besides, a tradeoff between throughput and outage is possible in cache-enabled D2D networks [4].”
Fundamental Limits of Caching in Wireless D2D Networks (2014, methodology): “An example of such analysis is provided in [7] for a D2D network with realistic propagation channel modeling operating at various frequency bands, from cellular microwave to mm-wave bands, as envisaged in the forthcoming 5G standardization [63]–[65].”
User-Centric Cell-Free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions (2021, unknown): “Problem Type Approach Reference”
5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice (2017, background): “…the following main effects: (i) the person holding the UE induces an effective antenna pattern that has nulls in the directions in which the torso or head is located; in combination with the angular spectrum of the propagation channel at the UE, this will determine the overall channel [50].”
A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms (2019, background): “To give full play to the abilities of edge devices, the cache placement should be related to the capabilities and locations of edge devices as well as the target severed [17, 30, 38, 73].”
Contract-Based Small-Cell Caching for Data Disseminations in Ultra-Dense Cellular Networks (2019, background): “Recent works advance the caching technology in device-to-device (D2D) networks and wireless sensor networks [7], [8], [9].”
Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-Time Popularities (2017, background): “Finally, recent studies have investigated the role of coding for enhancing performance in cache-enabled networks [18]– [20]; see also [21], [22], and [23], where device-to-device “structureless” caching approaches are envisioned.”
A Survey on Device-to-Device Communication in Cellular Networks (2013, methodology): “The methods proposed in [12] and [13] are simple, while that of [96]”
A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead (2016, background): “Local caching is a relatively new ofﬂoading technique, which however has been attracting a growing interest [98]–[101].”
Cooperative Caching and Transmission Design in Cluster-Centric Small Cell Networks (2016, methodology): “, Zipf distribution, which is commonly used to model the video popularity [2]–[4], [6], [19].”
Big data caching for networking: moving from cloud to edge (2016, background): “Caching at the edge of mobile wireless networks (namely BSs and user equipments) is also of high interest as evidenced in [6], [11], [12].”
Hierarchical Edge Caching in Device-to-Device Aided Mobile Networks: Modeling, Optimization, and Design (2018, background): “By satisfying content requests locally via D2D communications, Wang et al. [16], Ji et al. [17], and Chen and Yang [18] investigated content caching in mobile devices to ofﬂoad network trafﬁc and analyzed the theoretical performance, respectively, while Zhi et al. [19], Wang et al. [20], and Bai et…”