CLC number: TN92
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2018-05-10
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Feng Wei, Wei-xia Zou. Suboptimal network coding subgraph algorithms for 5G minimum-cost multicast networks[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(5): 662-673.
@article{title="Suboptimal network coding subgraph algorithms for 5G minimum-cost multicast networks",
author="Feng Wei, Wei-xia Zou",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="19",
number="5",
pages="662-673",
year="2018",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1700020"
}
%0 Journal Article
%T Suboptimal network coding subgraph algorithms for 5G minimum-cost multicast networks
%A Feng Wei
%A Wei-xia Zou
%J Frontiers of Information Technology & Electronic Engineering
%V 19
%N 5
%P 662-673
%@ 2095-9184
%D 2018
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1700020
TY - JOUR
T1 - Suboptimal network coding subgraph algorithms for 5G minimum-cost multicast networks
A1 - Feng Wei
A1 - Wei-xia Zou
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 19
IS - 5
SP - 662
EP - 673
%@ 2095-9184
Y1 - 2018
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1700020
Abstract: To reduce the transmission cost in 5G multicast networks that have separate control and data planes, we focus on the minimum-power-cost network-coding subgraph problem for the coexistence of two multicasts in wireless networks. We propose two suboptimal algorithms as extensions of the Steiner tree multicast. The critical 1-cut path eliminating (C1CPE) algorithm attempts to find the minimum-cost solution for the coexistence of two multicast trees with the same throughput by reusing the links in the topology, and keeps the solution decodable by a coloring process. For the special case in which the two multicast trees share the same source and destinations, we propose the extended selective closest terminal first (E-SCTF) algorithm out of the C1CPE algorithm. Theoretically the complexity of the E-SCTF algorithm is lower than that of the C1CPE algorithm. Simulation results show that both algorithms have superior performance in terms of power cost and that the advantage is more evident in networks with ultra-densification.
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