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Journal articles on the topic 'Frequency allocation'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Jiang, Shuman, Xinru Liu, and Jiarui Ma. "Frequency allocation algorithm." Applied and Computational Engineering 12, no. 1 (2023): 87–96. http://dx.doi.org/10.54254/2755-2721/12/20230301.

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Wireless communication technology's quick advancement has facilitated the ongoing formation of numerous new communication business scenarios and the thorough connectivity of man-machine-object-space. The conflict between few channel resources and high demand is becoming more and more obvious, which adds to the stress on the entire network. In order to enhance communication quality with constrained frequency resources, more optimal channel allocation techniques are urgently required. This paper discusses the increasing demand for frequency resources due to the exponential growth of data traffic

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2

Wu, Tao, Jixiang Wu, Jing Sun, Shirong Liu, and Zhenyan Lei. "A resource allocation algorithm for communication interference." ITM Web of Conferences 47 (2022): 02023. http://dx.doi.org/10.1051/itmconf/20224702023.

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Aiming at the problem of interference resource allocation in communication, an interference resource allocation algorithm based on Breadth First Search (BFS) is proposed in this paper. In the jamming problem, the jammer can interfere with the target on a number of frequencies. Affected by some factors, the jamming frequency of a single jammer needs to be concentrated as much as possible. The frequency point set is divided into multiple frequency bands. The signals in the same frequency band are considered to be close to each other. The optimization problem is transformed into allocating the le

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3

Jingshown Wu and Meng-Che Wu. "Dual-polarization frequency reuse with frequency band shifting allocation." IEEE Transactions on Vehicular Technology 49, no. 6 (2000): 2244–56. http://dx.doi.org/10.1109/25.901894.

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4

Ali, S. H., and V. C. M. Leung. "Dynamic frequency allocation in fractional frequency reused OFDMA networks." IEEE Transactions on Wireless Communications 8, no. 8 (2009): 4286–95. http://dx.doi.org/10.1109/twc.2009.081146.

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5

Schnell, Jim. "Management of the Myanmar spectrum frequency allocationplan." BOHR International Journal of Operations Management Research and Practices 1, no. 1 (2022): 84–87. http://dx.doi.org/10.54646/bijomrp.2022.10.

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This report will describe the development of a spectrum frequency allocation plan for Myanmar. As such, itincludes a definition of what is meant by “frequency allocation plan,” a description of elements to be consideredin frequency allocation planning, and recognition of factors that influence frequency allocation planning (alsoknown as “spectrum planning”). Consideration of the unique circumstances of Myanmar, both technological andsociological, is taken into account with the development of this plan. The change of government in 2021 has beena significant factor.

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6

Robinson, Brian. "Frequency Allocation: The First Forty Years." Annual Review of Astronomy and Astrophysics 37, no. 1 (1999): 65–96. http://dx.doi.org/10.1146/annurev.astro.37.1.65.

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7

Ellingsaeter, Brage. "Frequency allocation game in satisfaction form." Transactions on Emerging Telecommunications Technologies 25, no. 12 (2013): 1238–51. http://dx.doi.org/10.1002/ett.2739.

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8

Schnell, Jim. "Management of the Myanmar Spectrum Frequency Allocation Plan." BOHR International Journal of Operations Management Research and Practices 1, no. 1 (2022): 83–86. http://dx.doi.org/10.54646/bijomrp.010.

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This report will describe the development of a spectrum frequency allocation plan for Myanmar. As such, it includes a definition of what is meant by “frequency allocation plan,” a description of elements to be considered in frequency allocation planning, and recognition of factors that influence frequency allocation planning (also known as “spectrum planning”). Consideration of the unique circumstances of Myanmar, both technological and sociological, is taken into account with the development of this plan. The change of government in 2021 has been a significant factor.

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9

Sadiya, Thazeen, and Srikantaswamy Mallikarjunaswamy. "An efficient reconfigurable optimal source detection and beam allocation algorithm for signal subspace factorization." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 6 (2023): 6452–65. https://doi.org/10.11591/ijece.v13i6.pp6452-6465.

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Now a days, huge amount of data is communicated through channels in wireless network. It requires an efficient parallel operation for the optimal utilization of frequency, time allocation and coding model for signal subspace factorization in smart antenna. In view of this requirement, an efficient reconfigurable optimal source detection and beam allocation algorithm (RoSDBA) is proposed. The proposed algorithm is able to allocate desired signal to the user space to reduce the noise and also for efficient allocation of subspace to remove disturbance in all directions. The proposed method effici

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10

Liu, Jing Xue, Zhi Bo Li, and Hong Li. "Dynamic Allocation of Radio Frequency in the Battlefield Environment." Applied Mechanics and Materials 197 (September 2012): 496–501. http://dx.doi.org/10.4028/www.scientific.net/amm.197.496.

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Dynamic allocation of Radio Frequency (Hereafter called “RF”) is critical in the battlefield spectrum management. The article analyzes the conventional method of RF dynamic allocation in the battlefield environment, and set up the mathematic model of the RF dynamic allocation by using the results of spectrum detected in battlefield. It designs the algorithms with the combination of Genetic Algorithms and Tabu Search Algorithms. The simulation experiment proves the high efficiency of hybrid algorithms and it suit for solving the RF dynamic allocation problem in the battlefield environment.

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11

Jaya, Andi Risma, and Muslimin Muslimin. "Accountability for Village Fund Allocation Management in Punagaya Village, Bangkala District, Jeneponto Regency." Jurnal Administrasi Bisnis 2, no. 3 (2023): 270. http://dx.doi.org/10.26858/jab.v2i3.51635.

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Accountability can be interpreted as the obligations of individuals or authorities who are entrusted with managing public resources and those concerned with them to be able to answer matters concerning their accountability. Based on this, the study aims to describe and explain the accountability of village fund allocation management in Punagaya Village, Bangkala District, Jeneponto Regency. This type of research is descriptive quantitative and the sample members are 40 employees and the community using a probling sampling technique that uses all members of the population. Data was collected us

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Bello, N., and F. O. Edeko. "Designing a Spectrum Allocation Chart for Nigeria." Nigerian Journal of Environmental Sciences and Technology 5, no. 2 (2021): 320–28. http://dx.doi.org/10.36263/nijest.2021.02.0277.

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The regulation of the radio spectrum today by government agencies addresses the issue of interference between radio stations by allocating, allotting and registering bands of radio-frequencies. The framework of management is done at the international, regional and national level. With this paper, we present a study of the radio spectrum allocation policies in some leading countries and Nigeria. However, narrowing the study down to the detailed design of spectrum allocation charts. The study used the information in the national table of frequency allocation (NTFA) to design the spectrum allocat

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13

Preneel, Bart, and Jean Walrand. "Convergence of a quasistatic frequency allocation algorithm." Journal of High Speed Networks 5, no. 1 (1996): 3–22. http://dx.doi.org/10.3233/jhs-1996-5102.

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14

Lee, Jong-Chan, and Gi-Sung Lee. "Dynamic Frequency Allocation in OFDMA Cellular Networks." Journal of the Korea Academia-Industrial cooperation Society 14, no. 6 (2013): 2992–98. http://dx.doi.org/10.5762/kais.2013.14.6.2992.

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15

Sastry, Anitha S., and Akhila S. "Resource Allocation using Dynamic Fractional Frequency Reuse." International Journal of Wireless Networks and Broadband Technologies 6, no. 1 (2017): 34–44. http://dx.doi.org/10.4018/ijwnbt.2017010103.

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This article describes how a multi user cellular system insists on having increase in the spectral efficiency for the number of users and base stations. As far as cellular structures are concerned, the users at the edges experience inter cellular interference (ICI) than the users at the cell center. This is due to lack of resource allocation at cell edges. To improve the throughput at the edges a technique called Fractional Frequency Reuse (FFR) is employed. This article explores the Dynamic FFR(DFFR) in OFDMA system to improve the overall throughput.

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16

Sanchez, Susan M., and Prabhudev Konana. "Efficient data allocation for frequency domain experiments." Operations Research Letters 26, no. 2 (2000): 81–89. http://dx.doi.org/10.1016/s0167-6377(99)00070-x.

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17

Sankhe, Kunal, Sachin Chaudhari, and Garimella Rama Murthy. "Distributed spatial modulation with dynamic frequency allocation." Physical Communication 23 (June 2017): 65–75. http://dx.doi.org/10.1016/j.phycom.2017.02.005.

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18

Davis, Mark E. "Frequency allocation challenges for ultra-wideband radars." IEEE Aerospace and Electronic Systems Magazine 28, no. 7 (2013): 12–18. http://dx.doi.org/10.1109/maes.2013.6559376.

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19

Eliardsson, P., and J. Karlsson. "Dynamic frequency allocation in impulsive noise environments." Electronics Letters 48, no. 11 (2012): 657. http://dx.doi.org/10.1049/el.2012.0982.

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20

Chan, Joseph Wun-Tat, Francis Y. L. Chin, Deshi Ye, Yong Zhang, and Hong Zhu. "Greedy online frequency allocation in cellular networks." Information Processing Letters 102, no. 2-3 (2007): 55–61. http://dx.doi.org/10.1016/j.ipl.2006.11.015.

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21

Nakajima, Shigeo, Tsutomu Sakai, and Hiraku Mishima. "Offset frequency allocation to reduce intermodulation noise." Electronics and Communications in Japan (Part I: Communications) 69, no. 12 (1986): 72–81. http://dx.doi.org/10.1002/ecja.4410691209.

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22

May, Marvin Carl, Lars Kiefer, Alex Frey, Neil A. Duffie, and Gisela Lanza. "Applying frequency based forecasting for resource allocation." Procedia CIRP 120 (2023): 147–52. http://dx.doi.org/10.1016/j.procir.2023.08.027.

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23

Cleary, Miranda, Kristina DeRoy Milvae, Nicole Nguyen, Joshua G. W. Bernstein, and Matthew J. Goupell. "Effect of experimentally introduced interaural frequency mismatch on sentence recognition in bilateral cochlear-implant listeners." JASA Express Letters 3, no. 4 (2023): 044401. http://dx.doi.org/10.1121/10.0017705.

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Bilateral cochlear-implant users experience interaural frequency mismatch because of asymmetries in array insertion and frequency-to-electrode assignment. To explore the acute perceptual consequences of such mismatch, sentence recognition in quiet was measured in nine bilateral cochlear-implant listeners as frequency allocations in the poorer ear were shifted by ±1.5, ±3, and ±4.5 mm using experimental programs. Shifts in frequency allocation >3 mm reduced bilateral sentence scores below those for the better ear alone, suggesting that the poorer ear interfered with better-ear perception. Th

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24

Hyang-Won Lee and Song Chong. "Downlink resource allocation in multi-carrier systems: frequency-selective vs. equal power allocation." IEEE Transactions on Wireless Communications 7, no. 10 (2008): 3738–47. http://dx.doi.org/10.1109/t-wc.2008.061110.

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25

Liu, Heng, Jingtao Zhao, Zhi Wu, and Shu Zheng. "Neural Network-Based Coordinated Virtual Inertia Allocation Method for Multi-Region Distribution Systems." Applied Sciences 15, no. 12 (2025): 6493. https://doi.org/10.3390/app15126493.

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Virtual inertia is a measure of the capability of distributed sources and loads within power supply units to resist system frequency variations through additional control strategies applied to converters. The reasonable allocation of virtual inertia is beneficial for enhancing system stability. In response to the insufficient consideration of multi-regional coordination and difficulties in balancing frequency change rates in existing virtual inertia allocation methods, this paper proposes a neural network-based coordinated virtual inertia allocation method for multiple regions. First, a data-d

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26

Haibo Mei, J. Bigham, Peng Jiang, and E. Bodanese. "Distributed Dynamic Frequency Allocation in Fractional Frequency Reused Relay Based Cellular Networks." IEEE Transactions on Communications 61, no. 4 (2013): 1327–36. http://dx.doi.org/10.1109/tcomm.2012.121112.110580.

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27

AlSabbagh, Haider M., and Mohammed Khalid Ibrahim. "Efficient Dynamic Resource Allocation in OFDMA Systems by Firefly Pack Algorithm." International Journal of Computer Network and Information Security 9, no. 3 (2017): 1–10. http://dx.doi.org/10.5815/ijcnis.2017.03.01.

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The resource allocation of Orthogonal Frequency Division Multiple Access (OFDMA) is one of the core issues in the next generation mobile systems. The improvement in the performance and quality of service (QoS) of communication systems is relying upon the efficient utilization of the available communication resources. The resource allocation of the OFDMA systems is mainly depends on both power and subcarrier allocations of each user for different operation scenarios and channel conditions. This paper proposes and applies Firefly Pack Algorithm (FPA) to find the optimal or near optimal power and

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28

Thazeen, Sadiya, and Mallikarjunaswamy Srikantaswamy. "An efficient reconfigurable optimal source detection and beam allocation algorithm for signal subspace factorization." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 6 (2023): 6452. http://dx.doi.org/10.11591/ijece.v13i6.pp6452-6465.

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<span lang="EN-US">Now a <span>days, huge amount of data is communicated through channels in wireless network. It requires an efficient parallel operation for the optimal utilization of frequency, time allocation and coding model for signal subspace factorization in smart antenna. In view of this requirement, an efficient reconfigurable optimal source detection and beam allocation algorithm (RoSDBA) is proposed. The proposed algorithm is able to allocate desired signal to the user space to reduce the noise and also for efficient allocation of subspace to remove disturbance in all d

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29

SIVAKUMAR, P., and M. RAJARAM. "Performance of Frequency Domain DFE Using Subcarrier Allocation." International Journal of Information Technology and Computer Science 4, no. 1 (2012): 19–24. http://dx.doi.org/10.5815/ijitcs.2012.01.03.

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30

Lee, Jungwoo. "Optimised frequency-domain bit allocation for video coding." Electronics Letters 39, no. 12 (2003): 900. http://dx.doi.org/10.1049/el:20030600.

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31

Zou, Jian, Fangfang Wang, and Yichao Wu. "Large portfolio allocation using high-frequency financial data." Statistics and Its Interface 11, no. 1 (2018): 141–52. http://dx.doi.org/10.4310/sii.2018.v11.n1.a12.

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32

Denes, J., and A. D. Keedwell. "Frequency allocation for a mobile radio telephone system." IEEE Transactions on Communications 36, no. 6 (1988): 765–67. http://dx.doi.org/10.1109/26.2801.

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33

KIM, J. "Frequency Reuse Power Allocation for Broadband Cellular Networks." IEICE Transactions on Communications E89-B, no. 2 (2006): 531–38. http://dx.doi.org/10.1093/ietcom/e89-b.2.531.

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34

Lowery, Arthur James, Jochen Schröder, and Liang B. Du. "Flexible all-optical frequency allocation of OFDM subcarriers." Optics Express 22, no. 1 (2014): 1045. http://dx.doi.org/10.1364/oe.22.001045.

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35

Singh, Vaibhav, Matthew Lentz, B. Bhattacharjee, Richard J. La, and Mark A. Shayman. "Dynamic Frequency Resource Allocation in Heterogeneous Cellular Networks." IEEE Transactions on Mobile Computing 15, no. 11 (2016): 2735–48. http://dx.doi.org/10.1109/tmc.2016.2516980.

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36

Leigh, Jaime R., Katherine R. Henshall, and Colette M. McKay. "Optimizing Frequency-to-Electrode Allocation in Cochlear Implants." Journal of the American Academy of Audiology 15, no. 08 (2004): 574–84. http://dx.doi.org/10.3766/jaaa.15.8.5.

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This study tested the hypothesis that speech perception of cochlear implant users could be improved by increasing the number of electrodes allocated to frequencies below 2.6 kHz, with correspondingly fewer electrodes allocated above this point. Eight users of the Nucleus CI22 implant participated and wore experimental maps in which the widths of the analysis filters were altered to provide either two or three extra low-frequency channels. Speech perception was tested following periods of take-home experience. Information transmission analysis of vowel and consonant confusions appear to support

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37

Lynch, Jonathan, and Alonso González. "Canopy Nutrient Allocation in Relation to Incident Light in the Tropical Fruit Tree Borojoa patinoi (Cuatr.)." Journal of the American Society for Horticultural Science 118, no. 6 (1993): 777–85. http://dx.doi.org/10.21273/jashs.118.6.777.

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The relationship of incident photosynthetically active radiation (PAR) and mineral nutrient allocation was evaluated in canopies of Borojoa patinoi (Cuatr.) growing in the Chocó rainforest of Colombia, South America. Allocation of P in the canopy was positively correlated with incident PAR, principally because of increased leaf frequency (number of leaves per unit volume of canopy) brought about by local branching, with a smaller contribution from increased specific leaf weight (SLW, leaf dry weight per unit leaf area). The chemical fractionation of P within leaves did not respond to incident

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38

Tutelian, Sergei, Dmitry Bankov, Dmitri Shmelkin, and Evgeny Khorov. "IEEE 802.11ax OFDMA Resource Allocation with Frequency-Selective Fading." Sensors 21, no. 18 (2021): 6099. http://dx.doi.org/10.3390/s21186099.

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This paper studies the usage of orthogonal frequency division multiple access (OFDMA) for uplink transmissions in IEEE 802.11ax networks. OFDMA enables simultaneous multi-user transmissions in Wi-Fi, but its usage requires efficient resource allocation algorithms. These algorithms should be able to adapt to the changing channel conditions, including the frequency-selective fading. This paper presents an OFDMA resource allocation algorithm for channels with frequency-selective fading and proposes an approach to adapt the user transmission power and modulation and coding schemes to the varying c

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39

Ruf, Klaus. "World Radio Conference WRC-2000." Symposium - International Astronomical Union 196 (2001): 229–35. http://dx.doi.org/10.1017/s0074180900164149.

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The World Radio Conference 2000 must be considered the most important one for radio astronomy since WARC-79. The conference agenda contains about 30 topics of substance, and more than 10 of these have direct impact on radio astronomy frequency allocations. From the perspective of radio astronomy the most important items are: “Allocation of Frequency Bands above 71 GHz to the Earth-Exploration Satellite Service (passive) and Radio Astronomy Service” and the agenda items dealing with Recommendation 66 (Unwanted Emissions). A review of the status of preparations is given.

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40

Fan, Jiangtao, Peiqiang Li, and Mingle Zuo. "Capacity Allocation Method of Economic Model Considering Hybrid Energy Storage Battery to Suppress Wind Power Fluctuation." Journal of Physics: Conference Series 2303, no. 1 (2022): 012039. http://dx.doi.org/10.1088/1742-6596/2303/1/012039.

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Abstract This paper aims at the problem that the cost of energy storage in the wind power hybrid energy storage system exceeds the economic loss caused by wind curtailment. Firstly, the frequency allocation method using wavelet packet analysis divides the wind power into three parts: expected grid-connected power, high frequency power and low frequency power. The flywheel energy storage is used to smooth the high frequency power; the lithium battery is used to reduce the low frequency power. Secondly, an economic model of annual comprehensive cost is constructed based on initial investment, op

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41

Horbachov, Petro, and Stanislav Svichynskyi. "DEPENDENCE OF TRIP LENGTH FREQUENCY DISTRIBUTION ON CHARACTERISTICS OF ROUTE NETWORK ELEMENTS." Archives of Transport 30, no. 2 (2014): 21–30. http://dx.doi.org/10.5604/08669546.1146974.

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The up-to-date methods of the demand modelling for municipal public transport (MPT) services are not perfect and they require an objective estimation, enhancement and improvement. These refinements are to take into account the functions of population allocation in modern cities. The possibility of the definition of population allocation functions on the basis of characteristics of public transport stops allocation, the regularities of distances between adjacent stops and distances between a pair of stops are investigated.

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42

Hoang, Lai T., and Dirk G. Baur. "Spillovers and Asset Allocation." Journal of Risk and Financial Management 14, no. 8 (2021): 345. http://dx.doi.org/10.3390/jrfm14080345.

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There is a large and growing literature on spillovers but no study that systematically evaluates the importance of spillovers for portfolio management. This paper provides such an analysis and demonstrates that spillovers are fully embedded in estimates of expected returns, variances, and correlations and that estimation of spillovers is not necessary for asset allocation. Simulations of typical empirical spillover settings further show that same-frequency spillovers are often negligible and spurious.

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43

Amirsaidov, Ulugbek, and Azamat Qodirov. "Cross-Layer Model of Dynamic Distribution of Radio Resources and Data Flow Service in LTE Networks." International journal of electrical and computer engineering systems 14, no. 1 (2023): 13–19. http://dx.doi.org/10.32985/ijeces.14.1.2.

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In this article, the results of the development of a mathematical model for the time-frequency resource allocation of the uplink channel and flow service in LTE (Long Term Evolution) networks are given. The proposed model is aimed at ensuring the maximum performance of the radio channel and the guaranteed quality of service for data flows of wireless network users. A comparative analysis of the proposed model with the existing methods of the time-frequency resource allocation of the LTE technology is carried out in terms of ensuring the overall performance of the uplink and allocating the requ

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44

Demichev, Maksim Sergeevich, Konstantin Eduardovich Gaipov, Alena Alekseevna Demicheva, Rinat Faitulovich Faizulin, and Dmitrii Olegovich Malyshev. "Frequency scheduling algorithm with the allocation of the main and additional frequency bands." Программные системы и вычислительные методы, no. 2 (February 2021): 36–62. http://dx.doi.org/10.7256/2454-0714.2021.2.35214.

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The subject of this research is the frequency planning algorithm for networks with an arbitrary topology of links over radio channels. The algorithm determines the total number of non-overlapping frequency ranges for the entire network and provides the distribution of each frequency range between communication nodes. The algorithm consists of two stages: at the first stage, there is a search and simultaneous distribution of frequency channels, the so-called main frequency range, as a result, only one frequency range is allocated to each node; at&nbsp;the second stage, additional frequency

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45

Deb, Priti, Anwesha Mukherjee, and Debashis De. "Fractional frequency reuse based frequency allocation for 5G HetNet using master–slave algorithm." Physical Communication 42 (October 2020): 101158. http://dx.doi.org/10.1016/j.phycom.2020.101158.

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46

Vedder, Oscar, Sandra Bouwhuis, María M. Benito, and Peter H. Becker. "Male-biased sex allocation in ageing parents; a longitudinal study in a long-lived seabird." Biology Letters 12, no. 8 (2016): 20160260. http://dx.doi.org/10.1098/rsbl.2016.0260.

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Optimal sex allocation is frequency-dependent, but senescence may cause behaviour at old age to be suboptimal. We investigated whether sex allocation changes with parental age, using 16 years of data comprising more than 2500 molecularly sexed offspring of more than 600 known-age parents in common terns ( Sterna hirundo ), slightly sexually size-dimorphic seabirds. We decomposed parental age effects into within-individual change and sex allocation-associated selective (dis)appearance. Individual parents did not differ consistently in sex allocation, but offspring sex ratios at fledging changed

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47

Megnafi, Hicham. "Frequency Plan Optimization Based on Genetic Algorithms for Cellular Networks." Journal of communications software and systems 16, no. 3 (2020): 217–23. http://dx.doi.org/10.24138/jcomss.v16i3.1012.

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Cellular networks are constantly evolving to ensure a better Quality of Service (QoS) and quality of coverage ever more important. The radio cellular systems are based on frequency allocation. In this context, frequency allocation principle consists in choosing an optimal frequency plan to meet traffic demand constraints and communication quality while minimizing the radio interferences. This paper proposes an optimal frequency allocation approach based on genetic algorithms to minimize co-channel and adjacent channel interference. The validation of this new approach is conﬁrmed by the results

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48

Yang, Hui, Renshuang Huang, Ming Shi, Zutai Yan, and Laiqing Yan. "Optimal Allocation of Primary Frequency Modulation Capacity of Battery Energy Storage Based on Antlion Algorithm." Energies 16, no. 19 (2023): 6778. http://dx.doi.org/10.3390/en16196778.

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Currently, the integration of new energy sources into the power system poses a significant challenge to frequency stability. To address the issue of capacity sizing when utilizing storage battery systems to assist the power grid in frequency control, a capacity optimal allocation model is proposed for the primary frequency regulation of energy storage. Due to the requirement of a large number of actual parameters for the optimal allocation model, a simulation model of energy storage capacity is constructed based on the characteristics of primary frequency control to provide the necessary param

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49

Liu, Wei, and Jing Min Tang. "Dynamic Subcarrier and Power Allocation Based on Nash Bargaining Solution in Symmetric Cooperative OFDMA Networks." Advanced Materials Research 187 (February 2011): 510–15. http://dx.doi.org/10.4028/www.scientific.net/amr.187.510.

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In this paper, subcarrier and power allocation are jointly considered in a three-node symmetric cooperation orthogonal frequency-division multiple access uplink system. With the help of Nash bargaining solution, the dynamic subcarrier allocation scheme and the adaptive power allocation scheme are proposed for joint optimization. The joint resource allocation is decomposed and solved by dynamic subcarrier allocation algorithm and adaptive power allocation algorithm. Simulation results show the effectiveness of the proposed cooperative scheme.

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50

Muñoz-Tapasco, Sergio, Andrés F. Calvo-Salcedo, and Jose A. Jaramillo-Villegas. "Spectrum Allocation Using Integer Linear Programming and Kerr Optical Frequency Combs." Photonics 11, no. 12 (2024): 1114. http://dx.doi.org/10.3390/photonics11121114.

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The rapid increase in Internet usage has led to a growing demand for bandwidth. Optical microring resonators (MRRs) are emerging as a promising solution to meet this need. MRRs generate optical frequency combs (OFCs) that provide multiple wavelengths with high phase coherence, enabling communication via wavelength division multiplexing (WDM). Spectrum allocation methods, such as the Routing, Modulation Level, and Spectrum Assignment (RMLSA) approach, play a crucial role in executing this strategy efficiently. While current algorithms have improved allocation efficiency, further development is

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