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Journal articles on the topic 'Proportional Fair'

Author: Grafiati

Published: 14 March 2023

Last updated: 25 July 2025

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1

Bang, Hans Jorgen, Torbjorn Ekman, and David Gesbert. "Channel predictive proportional fair scheduling." IEEE Transactions on Wireless Communications 7, no. 2 (2008): 482–87. http://dx.doi.org/10.1109/twc.2008.060729.

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2

Patachaianand, R., and K. Sandrasegaran. "Proportional fair scheduling with reduced feedback." Electronics Letters 45, no. 9 (2009): 472. http://dx.doi.org/10.1049/el.2009.3522.

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3

Chen, Xiaomin, and Douglas Leith. "Proportional Fair Coding for 802.11 WLANs." IEEE Wireless Communications Letters 1, no. 5 (2012): 468–71. http://dx.doi.org/10.1109/wcl.2012.070312.120369.

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4

Kwan, Raymond, Cyril Leung, and Jie Zhang. "Proportional Fair Multiuser Scheduling in LTE." IEEE Signal Processing Letters 16, no. 6 (2009): 461–64. http://dx.doi.org/10.1109/lsp.2009.2016449.

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5

Feldman, Michal, Jugal Garg, Vishnu V. Narayan, and Tomasz Ponitka. "Proportionally Fair Makespan Approximation." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 13 (2025): 13839–46. https://doi.org/10.1609/aaai.v39i13.33513.

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We study fair mechanisms for the classic job scheduling problem on unrelated machines with the objective of minimizing the makespan. This problem is equivalent to minimizing the egalitarian social cost in the fair division of chores. The two prevalent fairness notions in the fair division literature are envy-freeness and proportionality. Prior work has established that no envy-free mechanism can provide better than an Ω(log m / log log m)-approximation to the optimal makespan, where m is the number of machines, even when payments to the machines are allowed. In strong contrast to this impossib

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6

Wang, Mei, and Li Juan Zheng. "Analysis of WCDMA Packet Scheduling Strategy." Applied Mechanics and Materials 631-632 (September 2014): 811–15. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.811.

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The basic characteristics for the WCDMA system, several typical scheduling algorithms are analyzed, and focused on the proportional fair algorithm, in order to maintain good performance of proportional fair algorithm in terms of throughput and fairness,and make it better adapt to the multi-service environment, this paper proposed a QoS-based proportional fair algorithm, using OPNET network simulation software to build a WCDMA network, respectively in different business environments to verify and compare the algorithm performance.The results show that under the multi-service environment, the pe

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7

Premkumar, Karumbu, Xiaomin Chen, and Douglas J. Leith. "Proportional Fair Coding for Wireless Mesh Networks." IEEE/ACM Transactions on Networking 23, no. 1 (2015): 269–81. http://dx.doi.org/10.1109/tnet.2014.2298974.

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8

Li, Zhao, Yujiao Bai, Jia Liu, Jie Chen, and Zhixian Chang. "Adaptive proportional fair scheduling with global-fairness." Wireless Networks 25, no. 8 (2019): 5011–25. http://dx.doi.org/10.1007/s11276-019-02108-1.

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9

Vukadinovic, Vladimir, and Gunnar Karlsson. "Video streaming performance under proportional fair scheduling." IEEE Journal on Selected Areas in Communications 28, no. 3 (2010): 399–408. http://dx.doi.org/10.1109/jsac.2010.100411.

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10

Valls, V., and D. J. Leith. "Proportional Fair MU-MIMO in 802.11 WLANs." IEEE Wireless Communications Letters 3, no. 2 (2014): 221–24. http://dx.doi.org/10.1109/wcl.2014.020314.130884.

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11

Duppala, Sharmila, Nathaniel Grammel, Juan Luque, Calum MacRury, and Aravind Srinivasan. "Proportionally Fair Matching via Randomized Rounding." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 16 (2025): 16435–43. https://doi.org/10.1609/aaai.v39i16.33805.

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Given an edge-colored graph, the goal of the proportional fair matching problem is to find a maximum weight matching while ensuring proportional representation (with respect to the number of edges) of each color. The colors may correspond to demographic groups or other protected traits where we seek to ensure roughly equal representation from each group. It is known that, assuming ETH, it is impossible to approximate the problem with ℓ colors in time subexponential in ℓ even on unweighted path graphs. Further, even determining the existence of a non-empty matching satisfying proportionality is

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12

Wu, Shaochuan, Yuming Wei, Shuo Zhang, and Weixiao Meng. "Proportional-Fair Resource Allocation for User-Centric Networks." IEEE Transactions on Vehicular Technology 71, no. 2 (2022): 1549–61. http://dx.doi.org/10.1109/tvt.2021.3131465.

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13

Lau, V. K. N. "Proportional Fair Space–Time Scheduling for Wireless Communications." IEEE Transactions on Communications 53, no. 8 (2005): 1353–60. http://dx.doi.org/10.1109/tcomm.2005.852841.

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14

Yun, Se-Young, and Alexandre Proutiere. "Distributed Proportional Fair Load Balancing in Heterogenous Systems." ACM SIGMETRICS Performance Evaluation Review 43, no. 1 (2015): 17–30. http://dx.doi.org/10.1145/2796314.2745861.

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15

Hoon Kim and Youngnam Han. "A proportional fair scheduling for multicarrier transmission systems." IEEE Communications Letters 9, no. 3 (2005): 210–12. http://dx.doi.org/10.1109/lcomm.2005.03014.

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16

Hoon Kim and Youngnam Han. "A proportional fair scheduling for multicarrier transmission systems." IEEE Communications Letters 9, no. 3 (2005): 210–12. http://dx.doi.org/10.1109/lcomm.2005.1411009.

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17

Park, Hyung-Kun. "Distributed Proportional Fair Scheduling for IEEE802.11 Wireless LANs." Wireless Personal Communications 54, no. 4 (2009): 719–27. http://dx.doi.org/10.1007/s11277-009-9777-1.

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18

Gea, María Magdalena, Luis Armando Hernández-Solís, Carmen Batanero, and Rocío Álvarez-Arroyo. "Relating students’ proportional reasoning level and their understanding of fair games." Journal on Mathematics Education 14, no. 4 (2023): 663–82. http://dx.doi.org/10.22342/jme.v14i4.pp663-682.

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This paper analyzes the relationship between proportional reasoning and understanding fair games in Costa Rican students. We conducted a quantitative and qualitative analysis of the answers to six items on comparing ratios of increasing difficulty level and another item on prize estimation in a fair game. We describe the strategies employed and the semiotic conflicts detected in 292 Costa Rican students from Grades 6 to 10 (11-16-year-olds), comparing the findings with those established in previous research. The results show an increase in the level of proportional reasoning with the grade, al

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19

Ezeribe, Basil. "An Improved Proportional Fair Scheduling Algorithm for Downlink LTE Cellular Network." International Journal for Research in Applied Science and Engineering Technology 9, no. 10 (2021): 1522–34. http://dx.doi.org/10.22214/ijraset.2021.38642.

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Abstract: Network providers of LTE networks can achieve maximum gain and Quality of Service (QoS) requirement of their users by employing a radio resource management technique that has the ability to allocate resource blocks to users in a fair manner without compromising the capacity of the network. This implies that for a better performing LTE network, a fair scheduling and balanced QoS delivery for various forms of traffic are needed. In this paper an improved proportional fair scheduling algorithm for downlink LTE cellular network has been developed. This algorithm was implemented using a M

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20

Lee, Ju-Hyeon, and Hyung-Kun Park. "Cognitive Radio Channel Allocation using the Proportional Fair Scheduling." Journal of the Korean Institute of Information and Communication Engineering 16, no. 8 (2012): 1606–12. http://dx.doi.org/10.6109/jkiice.2012.16.8.1606.

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21

Hojeij, Marie-Rita, Charbel Abdel Nour, Joumana Farah, and Catherine Douillard. "Weighted Proportional Fair Scheduling for Downlink Nonorthogonal Multiple Access." Wireless Communications and Mobile Computing 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/5642765.

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A weighted proportional fair (PF) scheduling method is proposed in the context of nonorthogonal multiple access (NOMA) with successive interference cancellation (SIC) at the receiver side. The new scheme introduces weights that adapt the classical PF metric to the NOMA scenario, improving performance indicators and enabling new services. The distinguishing value of the proposal resides in its ability to improve long-term fairness and total system throughput while achieving a high level of fairness in every scheduling slot. Finally, it is shown that the additional complexity caused by the weigh

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22

Ucer, Emin, Mithat C. Kisacikoglu, Murat Yuksel, and Ali Cafer Gurbuz. "An Internet-Inspired Proportional Fair EV Charging Control Method." IEEE Systems Journal 13, no. 4 (2019): 4292–302. http://dx.doi.org/10.1109/jsyst.2019.2903835.

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23

Tekbiyik, Neyre, Tolga Girici, Elif Uysal-Biyikoglu, and Kemal Leblebicioglu. "Proportional Fair Resource Allocation on an Energy Harvesting Downlink." IEEE Transactions on Wireless Communications 12, no. 4 (2013): 1699–711. http://dx.doi.org/10.1109/twc.2013.021213.120523.

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24

Wang, Xuan, and Lin Cai. "Proportional Fair Scheduling in Hierarchical Modulation Aided Wireless Networks." IEEE Transactions on Wireless Communications 12, no. 4 (2013): 1584–93. http://dx.doi.org/10.1109/twc.2013.022013.120266.

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25

Tang, Bin, Baoliu Ye, Sanglu Lu, and Song Guo. "Coding-Aware Proportional-Fair Scheduling in OFDMA Relay Networks." IEEE Transactions on Parallel and Distributed Systems 24, no. 9 (2013): 1727–40. http://dx.doi.org/10.1109/tpds.2012.269.

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26

Kushner, H. J., and P. A. Whiting. "Convergence of Proportional-Fair Sharing Algorithms Under General Conditions." IEEE Transactions on Wireless Communications 3, no. 4 (2004): 1250–59. http://dx.doi.org/10.1109/twc.2004.830826.

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27

Andrews, M. "Instability of the Proportional Fair Scheduling Algorithm for HDR." IEEE Transactions on Wireless Communications 3, no. 5 (2004): 1422–26. http://dx.doi.org/10.1109/twc.2004.833419.

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28

Looney, Mary, and Oliver Gough. "A provision aware proportional fair sharing three colour marker." Journal of Network and Computer Applications 36, no. 1 (2013): 476–83. http://dx.doi.org/10.1016/j.jnca.2012.04.011.

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29

Monikandan, B. Satheesh, A. Sivasubramanian, S. P. K. Babu, G. K. D. Prasanna Venkatesan, and C. Arunachalaperumal. "Channel aware optimized proportional fair scheduler for LTE downlink." Peer-to-Peer Networking and Applications 13, no. 6 (2020): 2135–44. http://dx.doi.org/10.1007/s12083-019-00826-z.

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30

Liu, E., and K. K. Leung. "Throughput of proportional fair scheduling over Rayleigh fading channels." Electronics Letters 45, no. 23 (2009): 1180. http://dx.doi.org/10.1049/el.2009.0943.

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31

Du, Peng, and Qingmin Meng. "Distributed proportional fair frequency allocation across multiple base stations." Journal of Electronics (China) 30, no. 4 (2013): 335–40. http://dx.doi.org/10.1007/s11767-013-3034-1.

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32

Akar, Nail, and Ezhan Karasan. "Is proportional fair scheduling suitable for age-sensitive traffic?" Computer Networks 226 (May 2023): 109668. http://dx.doi.org/10.1016/j.comnet.2023.109668.

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33

Hanbyul Seo and Byeong Gi Lee. "Proportional-fair power allocation with CDF-based scheduling for fair and efficient multiuser OFDM systems." IEEE Transactions on Wireless Communications 5, no. 5 (2006): 978–83. http://dx.doi.org/10.1109/twc.2006.1633349.

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34

WOEGINGER, GERHARD J. "A NOTE ON FAIR DIVISION UNDER INTERVAL UNCERTAINTY." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14, no. 06 (2006): 753–56. http://dx.doi.org/10.1142/s021848850600431x.

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In a recent paper [International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems 8:611–618], Yager & Kreinovich characterize a certain proportional division rule in terms of the three axioms (1) symmetry, (2) participant mergability, and (3) continuity. This technical note tightens their characterization: The proportional division rule is already fully characterized by the first two axioms (1) symmetry and (2) participant mergability.

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35

Elshennawy, Nada M. "Modified Proportional Fair Scheduling Algorithm for Heterogeneous LTE-A Networks." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 10 (2020): 22. http://dx.doi.org/10.3991/ijim.v14i10.14389.

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Growing of time-sensitive applications such as streaming multimedia, voice over IP and online gaming required strongly support from mobile communication technology. So, the persistent need for wireless broadband technologies such as LTE-A is essential. LTE-A can achieve QoS in an efficient manner by using a reliable packet scheduling algorithm. It also supports good cell coverage by using heterogeneous capability. In this paper, modifications of proportional fair (PF) algorithm are proposed with different methods to compute the average throughput, which is the main and important parameter in t

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36

Mamane, Asmae, M. Fattah, M. El Ghazi, Y. Balboul, M. El Bekkali, and S. Mazer. "Proportional fair buffer scheduling algorithm for 5G enhanced mobile broadband." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (2021): 4165. http://dx.doi.org/10.11591/ijece.v11i5.pp4165-4173.

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The impending next generation of mobile communications denoted 5G intends to interconnect user equipment, things, vehicles, and cities. It will provide an order of magnitude improvement in performance and network efficiency, and different combinations of use cases enhanced mobile broadband (eMBB), ultra reliable low latency communications (URLLC), massive internet of things (mIoT) with new capabilities and diverse requirements. Adoption of advanced radio resource management procedures such as packet scheduling algorithms is necessary to distribute radio resources among different users efficien

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37

Liu, Fei, and Marina Petrova. "Performance of Proportional Fair Scheduling for Downlink PD-NOMA Networks." IEEE Transactions on Wireless Communications 17, no. 10 (2018): 7027–39. http://dx.doi.org/10.1109/twc.2018.2865362.

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38

Margolies, Robert, Ashwin Sridharan, Vaneet Aggarwal, et al. "Exploiting Mobility in Proportional Fair Cellular Scheduling: Measurements and Algorithms." IEEE/ACM Transactions on Networking 24, no. 1 (2016): 355–67. http://dx.doi.org/10.1109/tnet.2014.2362928.

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39

Liu, Chang, Xiaowei Qin, Sihai Zhang, and Wuyang Zhou. "Proportional-fair downlink resource allocation in OFDMA-based relay networks." Journal of Communications and Networks 13, no. 6 (2011): 633–38. http://dx.doi.org/10.1109/jcn.2011.6157480.

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40

Singh, Sarabjot, Mikhail Geraseminko, Shu-ping Yeh, Nageen Himayat, and Shilpa Talwar. "Proportional Fair Traffic Splitting and Aggregation in Heterogeneous Wireless Networks." IEEE Communications Letters 20, no. 5 (2016): 1010–13. http://dx.doi.org/10.1109/lcomm.2016.2547418.

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41

Liu, Fei, Janne Riihijarvi, and Marina Petrova. "Analysis of Proportional Fair Scheduling Under Bursty On-Off Traffic." IEEE Communications Letters 21, no. 5 (2017): 1175–78. http://dx.doi.org/10.1109/lcomm.2017.2657495.

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42

Fritzsche, Richard, Peter Rost, and Gerhard P. Fettweis. "Robust Rate Adaptation and Proportional Fair Scheduling With Imperfect CSI." IEEE Transactions on Wireless Communications 14, no. 8 (2015): 4417–27. http://dx.doi.org/10.1109/twc.2015.2420564.

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43

Gu, Jaheon, Sueng Jae Bae, Syed Faraz Hasan, and Min Young Chung. "Heuristic Algorithm for Proportional Fair Scheduling in D2D-Cellular Systems." IEEE Transactions on Wireless Communications 15, no. 1 (2016): 769–80. http://dx.doi.org/10.1109/twc.2015.2477998.

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44

Liu, Guangyi, Li Li, Leonard J. Cimini, and Chien-Chung Shen. "Extending Proportional Fair Scheduling to Buffer-Aided Relay Access Networks." IEEE Transactions on Vehicular Technology 68, no. 1 (2019): 1041–44. http://dx.doi.org/10.1109/tvt.2018.2879757.

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45

Kim, Minhoe, Kisong Lee, and Dong-Ho Cho. "Proportional Fair Resource Allocation in Energy Harvesting-Based Wireless Networks." IEEE Systems Journal 12, no. 3 (2018): 2399–402. http://dx.doi.org/10.1109/jsyst.2016.2616506.

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46

Kim, Hoon, and Youngnam Han. "An Opportunistic Channel Quality Feedback Scheme for Proportional Fair Scheduling." IEEE Communications Letters 11, no. 6 (2007): 501–3. http://dx.doi.org/10.1109/lcomm.2007.070106.

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47

Jeon, J. H., and J. T. Lim. "Delay controlled proportional fair scheduling in Rayleigh fading wireless channel." IET Communications 6, no. 17 (2012): 2816–24. http://dx.doi.org/10.1049/iet-com.2012.0101.

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48

KOH, C. H., and Y. Y. KIM. "Proportional Fair Scheduling for Multicast Services in Wireless Cellular Networks." IEICE Transactions on Communications E91-B, no. 2 (2008): 669–72. http://dx.doi.org/10.1093/ietcom/e91-b.2.669.

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49

Zhou, Hui, Pingyi Fan, and Dongning Guo. "Joint Channel Probing and Proportional Fair Scheduling in Wireless Networks." IEEE Transactions on Wireless Communications 10, no. 10 (2011): 3496–505. http://dx.doi.org/10.1109/twc.2011.072511.110035.

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50

Jeon, Jae-Han, and Jong-Tae Lim. "Proportional Fair Scheduling with Capacity Estimation for Wireless Multihop Networks." Wireless Personal Communications 68, no. 3 (2011): 507–15. http://dx.doi.org/10.1007/s11277-011-0465-6.

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