Joint uplink and downlink resource allocation for low-latency mobile virtual reality delivery in fog radio access networks

Tian DANG , Chenxi LIU , Xiqing LIU , Shi YAN

Front. Inform. Technol. Electron. Eng ›› 2022, Vol. 23 ›› Issue (1) : 73 -85.

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Front. Inform. Technol. Electron. Eng ›› 2022, Vol. 23 ›› Issue (1) : 73 -85. DOI: 10.1631/FITEE2100308
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Joint uplink and downlink resource allocation for low-latency mobile virtual reality delivery in fog radio access networks

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Abstract

Fog radio access networks (F-RANs), in which the fog access points are equipped with communication, caching, and computing functionalities, have been anticipated as a promising architecture for enabling virtual reality (VR) applications in wireless networks. Although extensive research efforts have been devoted to designing efficient resource allocation strategies for realizing successful mobile VR delivery in downlink, the equally important resource allocation problem of mobile VR delivery in uplink has so far drawn little attention. In this work, we investigate a mobile VR F-RAN delivery framework, where both the uplink and downlink transmissions are considered. We first characterize the round-trip latency of the system, which reveals its dependence on the communication, caching, and computation resource allocations. Based on this information, we propose a simple yet efficient algorithm to minimize the round-trip latency, while satisfying the practical constraints on caching, computation capability, and transmission capacity in the uplink and downlink. Numerical results show that our proposed algorithm can effectively reduce the round-trip latency compared with various baselines, and the impacts of communication, caching, and computing resources on latency performance are illustrated.

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Virtual reality delivery / Fog radio access network (F-RAN) / Round-trip latency / Resource allocation

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Tian DANG, Chenxi LIU, Xiqing LIU, Shi YAN. Joint uplink and downlink resource allocation for low-latency mobile virtual reality delivery in fog radio access networks. Front. Inform. Technol. Electron. Eng, 2022, 23(1): 73-85 DOI:10.1631/FITEE2100308

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