Title
Optimizing Distance Constraints Frequency Assignment With Relaxation
Abstract
In a typical wireless telecommunication network, a large number of communication links is established with a limited number of available frequencies. The problem that addresses assigning available frequencies to transmitters such that interference is avoided as far as possible is called the frequency assignment problem. The problem is usually modeled as a graph coloring (labeling) problem. We study in this paper the (s, t)-relaxed L(2, 1)-labeling of a graph which considers the situation where transceivers that are very close receive frequencies that differ by at least two while transceivers that are close receive frequencies that differ by at least one. In addition, the model allows at most s (resp. t) anomalies at distance one (resp. two). The objective of the model is to minimize the span of frequencies in a corresponding network. We show that it is NP-complete to decide whether the minimal span of a (1, 0)-relaxed L(2, 1)-labeling of a graph is at most k. We also prove that the minimal span of this labeling for two classes of graphs is bounded above with the the square of the largest degree in the graph of interest. These results confirm Conjecture 6 and partially confirm Conjecture 3 stated in Lin [J. Comb. Optim. 31 (2016) 1-22].
Year
DOI
Venue
2021
10.1051/ro/2020043
RAIRO-OPERATIONS RESEARCH
Keywords
DocType
Volume
Frequency assignment, (s, t)-relaxed L(2, 1)-labeling, L(2, 1)-labeling
Journal
55
Issue
ISSN
Citations 
Supplement
0399-0559
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Zehui Shao111930.98
Enqiang Zhu22511.99
Jin Xu323045.13
Aleksander Vesel400.34
Xiujun Zhang500.34