Abstract
We consider cache-aided wireless communication scenarios where each user requests both a file from an a-priori generated cacheable library (referred to as 'content'), and an uncacheable 'non-content' message generated at the start of the communication session. This scenario is easily found in real-world wireless networks, where the two types of traffic coexist and share limited radio resources. We focus our investigation on single-transmitter wireless networks with cache-aided receivers, where the wireless channel is modelled by a degraded Gaussian broadcast channel (GBC). For this setting, we study the (normalized) delay-rate trade-off, which characterizes the content delivery time and non-content communication rates that can be achieved simultaneously. We propose a scheme based on the separation principle, which isolates the coded caching problem from the physical layer transmission problem, and prove its information-theoretic order optimality up to a multiplicative factor of 2.01. A key insight emerging from our scheme is that substantial amounts of non-content traffic can be communicated while maintaining the minimum content delivery time, achieved in the absence of non-content messages; compliments of 'topological holes' arising from asymmetries in wireless channel gains.
Original language | English |
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Title of host publication | 2020 IEEE International Symposium on Information Theory (ISIT) |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 1693-1698 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-7281-6432-8 |
DOIs | |
Publication status | Published - 24 Aug 2020 |
Externally published | Yes |
Event | 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Los Angeles, United States Duration: 21 Jun 2020 → 26 Jun 2020 |
Conference
Conference | 2020 IEEE International Symposium on Information Theory, ISIT 2020 |
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Country/Territory | United States |
City | Los Angeles |
Period | 21/06/20 → 26/06/20 |
Funding
The work is supported by the European Research Council under the ERC grant agreement N. 789190 (project CARENET), and the ERC grant agreement N. 725929 (project DUALITY).
Funders | Funder number |
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European Union's Horizon 2020 - Research and Innovation Framework Programme | 725929, 789190 |
H2020 European Research Council |