Abstract:
Mobile device caching and cooperative device-to-device (D2D) communications can support massive content delivery over wireless networks while minimizing interference. Device clustering must be considered to realistically demonstrate how cooperative communication affects cache-enabled D2D networks.
This project introduces a stochastic geometry-based optimization framework for cache-assisted coordinated multi-point (CoMP) transmissions with clustered devices. Devices in disjoint clusters are assumed to have enough memory to cache files from a known library using a random probabilistic caching scheme.
D2D CoMP transmissions from neighboring devices or, as a last resort, the network can provide non-self-cached content. This model analyzes offloading gain and rate coverage probability as functions of system parameters.
Content placement that maximizes offloading gain is the optimal caching strategy. We use two methods to obtain a lower bound and a provably accurate approximation of the offloading gain in a tractable optimization framework to optimize caching strategies.
Remarkably, if we replace the offloading gain expression with its lower bound, we can find a suboptimal caching strategy that is analytically described and improves on state-of-the-art caching schemes. The Internet of Things (IoT) and ns era will have denser D2D caching networks and higher interference, making cooperative transmission more attractive.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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