Abstract
Wireless device-to-device (D2D) caching networks are studied, in which n nodes are distributed uniformly at random over the network area. Each node caches M files from the library of size and independently requires a file from the library. Each request will be served by cooperative D2D transmission from other nodes having the requested file in their cache memories. In many practical sensor or Internet of things (IoT) networks, there may exist simple sensor or IoT devices that are not able to perform real-time rate and power control based on the reported channel quality information (CQI). Hence, it is assumed that each node transmits a file with a fixed rate and power so that an outage is inevitable. To improve the outage-based throughput, a cache-enabled interference cancellation (IC) technique is proposed for cooperative D2D file delivery which first performs IC, utilizing cached files at each node as side information, and then performs successive IC of strongly interfering files. Numerical simulations demonstrate that the proposed scheme significantly improves the overall throughput and, furthermore, such gain is universally achievable for various caching placement strategies such as random caching and probabilistic caching.
Highlights
Wireless traffic has grown exponentially in recent years, mainly due to on-demand video streaming and web browsing [1]
The joint design and optimization of the file placement and delivery schemes can improve the performance of caching networks, it might excessively increase the system complexity and signaling overhead and, such optimization requires a priori knowledge of the file popularity profile, which is very challenging for most of the sensor or Internet of things (IoT) networks implemented with low-cost hardware devices that have limited communication and computing capabilities
In this paper, we focus on developing an efficient file delivery protocol for wireless D2D caching networks after the file placement phase is completed, i.e., M cached files are already stored in each cache memory via an arbitrary file placement strategy
Summary
Wireless traffic has grown exponentially in recent years, mainly due to on-demand video streaming and web browsing [1]. The joint design and optimization of the file placement and delivery schemes can improve the performance of caching networks, it might excessively increase the system complexity and signaling overhead and, such optimization requires a priori knowledge of the file popularity profile, which is very challenging for most of the sensor or IoT networks implemented with low-cost hardware devices that have limited communication and computing capabilities To address such limitations in sensor or IoT devices, in this paper, we rather focus on developing an efficient file delivery scheme that can provide an improved throughput with limited signaling compared to the conventional file delivery schemes and can be universally applied to any file placement strategies. Treating multiple simultaneously transmitted signals as a single aggregate signal drastically reduces the decoding complexity, i.e., the optimization procedure of establishing an optimal subset of interfering files for successive IC as well as their optimal decoding order
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