Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 68, Issue 8, Pages 8279-8283Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2019.2921615
Keywords
Caching; fog radio access networks; stochastic geometry; optimization
Categories
Funding
- National Science Foundation China [61771345, 61571330]
- Fundamental Research Funds for the Central Universities
- State Key Laboratory of Integrated Services Networks, Xidian University [ISN19-01]
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Caching is a promising approach to address the backhaul traffic congestion problem and boost throughput in fog radio access networks. In this correspondence paper, we investigate a proactive probabilistic caching optimization in wireless fog radio access network where multiple users request different files from multiple base stations (BSs). To assess the performance, we first derive the analytical results of successful transmission probability (STP) using tools of stochastic geometry. With the derived closed-form STP expressions, our objective is to optimize the proactive probabilistic caching distribution to maximize the STP. To reduce the computational complexity, we specially discuss the optimization in high signal-to-noise ratio (SNR). We propose a projection gradient method to get a local optimal solution. Simulation results show that the caching placement optimized by our proposed algorithm increases the STP by about 18% over the best existing caching distribution when SNR = 10 dB with user density lambda(u) = 0.09, BS density lambda(b) = 0.1 and file number N = 100.
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