Cache-Assisted CoMP Performance Analysis and Optimization for Clustered D2D Networks

PROJECT TITLE :

Performance Analysis and Optimization of Cache-Assisted CoMP for Clustered D2D Networks

ABSTRACT:

Two promising strategies for supporting massive content delivery over wireless networks while mitigating the effects of interference are caching content on mobile devices and leveraging cooperative device-to-device (D2D) Communications. Caching can be done locally on the mobile device. The idea of device clustering needs to be taken into consideration in order to provide a description of the network's performance that is accurate if one wishes to demonstrate the effect that cooperative Communication has on the performance of cache-enabled D2D networks. In light of this, the authors of this paper develop a novel mathematical model for cache-assisted coordinated multi-point (CoMP) transmissions with clustered devices. The model is based on stochastic geometry, and it includes an optimization framework. Devices are spread out across the space in distinct clusters, and it is assumed that each device has sufficient memory to cache files taken from a predetermined library in accordance with a random probabilistic caching strategy. It is possible to acquire desired contents that are not self-cached by way of D2D CoMP transmissions from neighboring devices or, as a last resort, by way of the network itself. We perform an analytical characterization of the offloading gain and the rate coverage probability for this model, wherein the system parameters serve as the independent variables. The content placement strategy that results in the greatest amount of offloading gain is then considered to be the optimal caching strategy. We pursue two distinct methods in order to obtain a lower bound as well as a provably accurate approximation of the offloading gain. This enables us to obtain optimized caching strategies and provides us with a framework for optimization that is tractable. Remarkably, if we replace the obtained expression for offloading gain with its lower bound, we are able to find a suboptimal caching strategy that is not only described via analytical formulas, but that can also show an improvement over the state-of-the-art caching schemes. This is a caching strategy that is remarkable because it allows us to find a suboptimal caching strategy that can show an improvement over the state-of-the-art ca According to the findings, cooperative transmission becomes more appealing in denser D2D caching networks and adverse interference conditions. This describes the situation that will exist in the impending Internet of Things (IoT) and ns eras.

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