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Infotainment Enabled Smart Cars: A Joint Communication, Caching, and Computation Approach | IEEE Journals & Magazine | IEEE Xplore

Infotainment Enabled Smart Cars: A Joint Communication, Caching, and Computation Approach


Abstract:

Remarkable prevalence of cloud computing has enabled smart cars to provide infotainment services. However, retrieving infotainment contents from long-distance data center...Show More

Abstract:

Remarkable prevalence of cloud computing has enabled smart cars to provide infotainment services. However, retrieving infotainment contents from long-distance data centers poses a significant delay, thus hindering to offer stringent latency-aware infotainment services. Multi-access edge computing is a promising option to meet strict latency requirements. However, it imposes severe resource constraints with respect to caching, and computation. Similarly, communication resources utilized to fetch the infotainment contents are scarce. In this paper, we jointly consider communication, caching, and computation (3C) to reduce infotainment content retrieval delay for smart cars. We formulate the problem as a mix-integer, nonlinear, and nonconvex optimization to minimize the latency. Furthermore, we relax the formulated problem from NP-hard to linear programming. Then, we propose a joint solution (3C) based on the alternative direction method of multipliers technique, which operates in a distributed manner. We compare the proposed 3C solution with various approaches, namely, greedy, random, and centralized. Simulation results reveal that the proposed solution reduces delay up to 9% and 28% compared to the greedy and random approaches, respectively.
Published in: IEEE Transactions on Vehicular Technology ( Volume: 68, Issue: 9, September 2019)
Page(s): 8408 - 8420
Date of Publication: 23 July 2019

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