Fairness enhanced dynamic routing and spectrum allocation in elastic optical networks

Xiong, Yu; Xue, Fan; Liu, Shuming

doi:10.1049/iet-com.2015.0783

Cited by 13 publications

(2 citation statements)

References 18 publications

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“…In addition, there is also a social optimum. As shown in Figure 3, it shows the relationship between personal optimal and social optimal [26].…”

Section: Spectrum Optimization Problemmentioning

confidence: 99%

Study on Spectrum Allocation and Optimization of Wireless Communication Networks Based on SFOA

2021

Wireless Communications and Mobile Computing

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Wireless communication network spectrum is a limited resource. With the rapid increase of mobile communication services in recent years, traditional spectrum allocation methods are only based on a fixed spectrum allocation strategy, which often results in uneven and wasteful resource allocation. Therefore, spectrum allocation and the optimization problem need to be solved urgently. The application of semantic mobile computing in the Internet of Things and the research of emerging bionic models provide new ideas for this problem. In order to solve the problem of spectrum optimization and allocation, this paper proposes an optimization algorithm that simulates fisherman fishing to reasonably arrange the allocation and optimization of wireless network spectrum. This paper selects SFOA and the other two algorithms, designs experimental functions to perform calculations separately, obtains relevant data indicators, and uses comparative analysis to analyze. The analysis shows that in terms of performance, the success rate of SFOA is higher than that of PSO, and the success rate of the two function calculations has reached 100%. In the signal-to-noise ratio analysis, when the signal-to-noise ratio is -4 dB, the throughput of GPSO reaches the maximum value of 0.17, the throughput of PSO reaches the maximum value of 0.56, and the throughput of SFOA reaches 1, which shows that SFOA is adopted. The stability and accuracy of the algorithm are higher than the other two algorithms, and in the case of high signal-to-noise ratio, the advantages of the SFOA algorithm are also more obvious. This shows that the use of this algorithm will be very helpful for spectrum allocation and optimization. Because SFOA has high stability and accuracy, through reasonable adjustment and improvement, it can make good use of spectrum allocation and optimization. Chinese wireless communication network and the development of Internet of Things technology are of great significance.

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“…In addition, there is also a social optimum. As shown in Figure 3, it shows the relationship between personal optimal and social optimal [26].…”

Section: Spectrum Optimization Problemmentioning

confidence: 99%

Study on Spectrum Allocation and Optimization of Wireless Communication Networks Based on SFOA

2021

Wireless Communications and Mobile Computing

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“…In EONs, the available bandwidth of an optical fiber is subdivided into spectrum slots of fine granularity [18,19]. User requests (i.e.…”

Section: Introductionmentioning

confidence: 99%

Impairment‐aware resource allocation scheme for elastic optical networks with different service priorities

Munasinghe,

Dharmaweera,

de Alwis

et al. 2024

IET Communications

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Today, elastic optical networks (EONs) are required to accommodate traffic with different service priorities. For example, mission‐critical applications such as industrial internet, smart grids, and remote surgery require an ultra‐reliable low‐latency communication system. The novel impairment‐aware resource allocation scheme proposed here prioritises traffic. It satisfies the quality and latency requirements of mission‐critical traffic while causing minimum disruptions to other forms of low‐priority traffic connections. The results obtained for 6‐node and 14‐node networks under various traffic distribution environments indicate that the proposed algorithm achieves higher spectral efficiency, reduces spectrum fragmentation, and causes minimal disruptions over the benchmark algorithm.

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A multicast contention resolution scheme based on shared spectrum converter for elastic optical switching node

Liu

Sang

Chen

2017

Optik

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Fairness enhanced dynamic routing and spectrum allocation in elastic optical networks

Cited by 13 publications

References 18 publications

Study on Spectrum Allocation and Optimization of Wireless Communication Networks Based on SFOA

Study on Spectrum Allocation and Optimization of Wireless Communication Networks Based on SFOA

Impairment‐aware resource allocation scheme for elastic optical networks with different service priorities

A multicast contention resolution scheme based on shared spectrum converter for elastic optical switching node

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