An Analysis on Caching Placement for Millimetre-Micro Wave Hybrid Networks

Sudip Biswas, Tong Zhang, Keshav Singh, Satyanarayana Vuppala, Tharmalingam Ratnarajah

Research output: Contribution to journalArticlepeer-review


In this paper, we investigate the feasibility of wireless edge caching in a hybrid millimeter wave (mmWave)–micro wave (µWave) network. Considering the average success probability (ASP) of file delivery as the performance metric, we derive expressions for the association probability of the typical user to the mmWave and µWave networks using stochastic geometric tools. Accordingly, we provide an upper bound on the ASP of file delivery and formulate the content caching placement scheme as an optimization problem with respect to caching probabilities, that jointly optimizes the ASP of file delivery considering both content placement and delivery phases. To simplify the non-convex problem and obtain design insights, we split it into two scenarios: i) noise-limited and ii) interference-limited, and then propose optimal caching placement algorithms for both. We numerically evaluate the performance of the proposed schemes under several essential factors, such as content popularity, cache size, target data rate, blockages in the mmWave network, BS density, and path loss and also compare it with other common proactive caching schemes, namely uniform caching, caching M most popular files, and random caching. Numerical results demonstrate the superiority of the proposed caching scheme over others, albeit certain trade-offs.
Original languageEnglish
JournalIEEE Transactions on Communications
Early online date25 Oct 2018
Publication statusE-pub ahead of print - 25 Oct 2018


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