CLC number:
On-line Access: 2022-01-24
Received: 2021-06-30
Revision Accepted: 2022-04-22
Crosschecked: 2021-09-14
Cited: 0
Clicked: 4862
Citations: Bibtex RefMan EndNote GB/T7714
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[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(1): 73-85.
@article{title="Joint uplink and downlink resource allocation for low-latency mobile virtual reality delivery in fog radio access networks",
author="Tian DANG, Chenxi LIU, Xiqing LIU, Shi YAN",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="23",
number="1",
pages="73-85",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2100308"
}
%0 Journal Article
%T Joint uplink and downlink resource allocation for low-latency mobile virtual reality delivery in fog radio access networks
%A Tian DANG
%A Chenxi LIU
%A Xiqing LIU
%A Shi YAN
%J Frontiers of Information Technology & Electronic Engineering
%V 23
%N 1
%P 73-85
%@ 2095-9184
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100308
TY - JOUR
T1 - Joint uplink and downlink resource allocation for low-latency mobile virtual reality delivery in fog radio access networks
A1 - Tian DANG
A1 - Chenxi LIU
A1 - Xiqing LIU
A1 - Shi YAN
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
IS - 1
SP - 73
EP - 85
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2100308
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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