ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article Analysis on Fairness and Efficiency of the 3-PLP LDM System Using a Normalized Channel Capacity
Cited 0 time in scopus Download 73 time Share share facebook twitter linkedin kakaostory
Authors
Ho Jae Kim, Soon-Young Kwon, JaeHwui Bae, Namho Hur, Hyoung-Nam Kim
Issue Date
2023-11
Citation
ELECTRONICS, v.12, no.21, pp.1-22
ISSN
2079-9292
Publisher
MDPI
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.3390/electronics12214465
Abstract
This article presents a novel approach to investigate efficient resource allocation in the layered division multiplexing (LDM) system, a key technology in next-generation broadcasting systems. The LDM system provides diverse services, resulting in different channel capacities for each service, unlike the conventional non-orthogonal multiple access scheme that aims for equal channel capacity among users. To achieve efficient resource allocation among services, we proposed a new method that normalizes the channel capacities allocated to different services while maintaining high fairness. Our proposed method involves normalizing the channel capacities of each service and finding the point where the sum of normalized channel capacities is maximized. This point can be obtained using the Lagrange multiplier method, ensuring a high normalized fairness index. Through simulations, we confirmed that the proposed approach maintains high fairness in the LDM system and achieves the highest normalized channel capacities compared to other transmission techniques. These findings provide valuable insights into resource allocation strategies for the LDM system, enabling a fair comparison of efficiency and performance within a multi-service environment.
KSP Keywords
Broadcasting system, Channel capacity, Efficiency and Performance, Efficient resource allocation, Fair comparison, Fairness index, Key technology, Lagrange Multiplier Method, Multi-service, Next-generation, Non-orthogonal multiple access(NOMA)
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
CC BY