The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Wireless Device-to-Device Caching Networks: Basic Principles and System Performance
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The capacity of wireless networks
Gupta, P., & Kumar, P. R. (2000) · IEEE Transactions on Information Theory · doi:10.1109/18.825799 · Cited by 8,292
Web caching and Zipf-like distributions: evidence and implications
Breslau, L., Cao, P., Fan, L., Phillips, G., & Shenker, S. (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) · doi:10.1109/infcom.1999.749260 · Cited by 3,467
Li, S.-Y. R., Yeung, R. W., & Cai, N. (2003) · IEEE Transactions on Information Theory · doi:10.1109/tit.2002.807285 · Cited by 3,378
A Random Linear Network Coding Approach to Multicast
Ho, T., Medard, M., Koetter, R., Karger, D. R., Effros, M., Shi, J., & Leong, B. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.881746 · Cited by 2,553
Shokrollahi, A. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.874390 · Cited by 2,154
LTE – The UMTS Long Term Evolution: From Theory to Practice
(2009) · Wiley eBooks · doi:10.1002/9780470742891 · Cited by 1,816
Maddah-Ali, M. A., & Niesen, U. (2014) · IEEE Transactions on Information Theory · doi:10.1109/tit.2014.2306938 · Cited by 1,726
FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers
Shanmugam, K., Golrezaei, N., Dimakis, A. G., Molisch, A. F., & Caire, G. (2013) · IEEE Transactions on Information Theory · doi:10.1109/tit.2013.2281606 · Cited by 1,246
Self-citationCoordinated multipoint: Concepts, performance, and field trial results
Irmer, R., Droste, H., Marsch, P., Grieger, M., Fettweis, G., Brueck, S., Mayer, H.-P., Thiele, L., & Jungnickel, V. (2011) · IEEE Communications Magazine · doi:10.1109/mcom.2011.5706317 · Cited by 996
Seven ways that HetNets are a cellular paradigm shift
Andrews, J. G. (2013) · IEEE Communications Magazine · doi:10.1109/mcom.2013.6476878 · Cited by 882
Cited by
Caching at the wireless edge: design aspects, challenges, and future directions
Liu, D., Chen, B., Yang, C., & Molisch, A. F. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7565183 · Cited by 457
Self-citationBig data caching for networking: moving from cloud to edge
Zeydan, E., Bastug, E., Bennis, M., Kader, M. A., Karatepe, I. A., Er, A. S., & Debbah, M. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7565185 · Cited by 310
Li, L., Zhao, G., & Blum, R. S. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2820021 · Cited by 282
Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-Time Popularities
Sadeghi, A., Sheikholeslami, F., & Giannakis, G. B. (2018) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2017.2787979 · Cited by 257
Li, X., Wang, X., Wan, P.-J., Han, Z., & Leung, V. C. M. (2018) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2018.2844658 · Cited by 140
Metadata
- Authors
- Ji, M., Caire, G., & Molisch, A. F.
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2016-01
- Volume
- 34
- Issue
- 1
- Pages
- 176-189
- ISSN
- 0733-8716 (ISSN-L)
- 1558-0008
- OpenAlex
- W1611674276
- Cited by
- 444
- References
- 23
- FWCI
- 89.03
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Wireless Device-to-Device Caching Networks: Basic Principles and System Performance. https://app.cochat.ai/papers/10.1109/jsac.2015.2452672
- The paper
- Ji, M., Caire, G., & Molisch, A. F. (2016). Wireless Device-to-Device Caching Networks: Basic Principles and System Performance. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/jsac.2015.2452672
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.