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Artículos de revistas sobre el tema "Proportional Fair"

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Autor: Grafiati
Publicado: 14 de marzo de 2023

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1

Bang, Hans Jorgen, Torbjorn Ekman y David Gesbert. "Channel predictive proportional fair scheduling". IEEE Transactions on Wireless Communications 7, n.º 2 (febrero de 2008): 482–87. http://dx.doi.org/10.1109/twc.2008.060729.

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2

Patachaianand, R. y K. Sandrasegaran. "Proportional fair scheduling with reduced feedback". Electronics Letters 45, n.º 9 (2009): 472. http://dx.doi.org/10.1049/el.2009.3522.

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3

Chen, Xiaomin y Douglas Leith. "Proportional Fair Coding for 802.11 WLANs". IEEE Wireless Communications Letters 1, n.º 5 (octubre de 2012): 468–71. http://dx.doi.org/10.1109/wcl.2012.070312.120369.

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4

Kwan, Raymond, Cyril Leung y Jie Zhang. "Proportional Fair Multiuser Scheduling in LTE". IEEE Signal Processing Letters 16, n.º 6 (junio de 2009): 461–64. http://dx.doi.org/10.1109/lsp.2009.2016449.

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5

Premkumar, Karumbu, Xiaomin Chen y Douglas J. Leith. "Proportional Fair Coding for Wireless Mesh Networks". IEEE/ACM Transactions on Networking 23, n.º 1 (febrero de 2015): 269–81. http://dx.doi.org/10.1109/tnet.2014.2298974.

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6

Li, Zhao, Yujiao Bai, Jia Liu, Jie Chen y Zhixian Chang. "Adaptive proportional fair scheduling with global-fairness". Wireless Networks 25, n.º 8 (13 de agosto de 2019): 5011–25. http://dx.doi.org/10.1007/s11276-019-02108-1.

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7

Vukadinovic, Vladimir y Gunnar Karlsson. "Video streaming performance under proportional fair scheduling". IEEE Journal on Selected Areas in Communications 28, n.º 3 (abril de 2010): 399–408. http://dx.doi.org/10.1109/jsac.2010.100411.

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8

Valls, V. y D. J. Leith. "Proportional Fair MU-MIMO in 802.11 WLANs". IEEE Wireless Communications Letters 3, n.º 2 (abril de 2014): 221–24. http://dx.doi.org/10.1109/wcl.2014.020314.130884.

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9

Wang, Mei y Li Juan Zheng. "Analysis of WCDMA Packet Scheduling Strategy". Applied Mechanics and Materials 631-632 (septiembre de 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 performance of QoS-based proportional fair algorithm is better than the basic proportional fair algorithm in terms of throughput and average latency.
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10

Wu, Shaochuan, Yuming Wei, Shuo Zhang y Weixiao Meng. "Proportional-Fair Resource Allocation for User-Centric Networks". IEEE Transactions on Vehicular Technology 71, n.º 2 (febrero de 2022): 1549–61. http://dx.doi.org/10.1109/tvt.2021.3131465.

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11

Lau, V. K. N. "Proportional Fair Space–Time Scheduling for Wireless Communications". IEEE Transactions on Communications 53, n.º 8 (agosto de 2005): 1353–60. http://dx.doi.org/10.1109/tcomm.2005.852841.

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12

Yun, Se-Young y Alexandre Proutiere. "Distributed Proportional Fair Load Balancing in Heterogenous Systems". ACM SIGMETRICS Performance Evaluation Review 43, n.º 1 (24 de junio de 2015): 17–30. http://dx.doi.org/10.1145/2796314.2745861.

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13

Hoon Kim y Youngnam Han. "A proportional fair scheduling for multicarrier transmission systems". IEEE Communications Letters 9, n.º 3 (marzo de 2005): 210–12. http://dx.doi.org/10.1109/lcomm.2005.03014.

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14

Hoon Kim y Youngnam Han. "A proportional fair scheduling for multicarrier transmission systems". IEEE Communications Letters 9, n.º 3 (marzo de 2005): 210–12. http://dx.doi.org/10.1109/lcomm.2005.1411009.

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15

Park, Hyung-Kun. "Distributed Proportional Fair Scheduling for IEEE802.11 Wireless LANs". Wireless Personal Communications 54, n.º 4 (17 de julio de 2009): 719–27. http://dx.doi.org/10.1007/s11277-009-9777-1.

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16

Lee, Ju-Hyeon y Hyung-Kun Park. "Cognitive Radio Channel Allocation using the Proportional Fair Scheduling". Journal of the Korean Institute of Information and Communication Engineering 16, n.º 8 (31 de agosto de 2012): 1606–12. http://dx.doi.org/10.6109/jkiice.2012.16.8.1606.

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17

Hojeij, Marie-Rita, Charbel Abdel Nour, Joumana Farah y 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 weight calculation has only a limited impact on the overall scheduler complexity, while simulation results confirm the claimed improvements, making the proposal an appealing alternative for resource allocation in a cellular downlink system.
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18

Ucer, Emin, Mithat C. Kisacikoglu, Murat Yuksel y Ali Cafer Gurbuz. "An Internet-Inspired Proportional Fair EV Charging Control Method". IEEE Systems Journal 13, n.º 4 (diciembre de 2019): 4292–302. http://dx.doi.org/10.1109/jsyst.2019.2903835.

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19

Tekbiyik, Neyre, Tolga Girici, Elif Uysal-Biyikoglu y Kemal Leblebicioglu. "Proportional Fair Resource Allocation on an Energy Harvesting Downlink". IEEE Transactions on Wireless Communications 12, n.º 4 (abril de 2013): 1699–711. http://dx.doi.org/10.1109/twc.2013.021213.120523.

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20

Wang, Xuan y Lin Cai. "Proportional Fair Scheduling in Hierarchical Modulation Aided Wireless Networks". IEEE Transactions on Wireless Communications 12, n.º 4 (abril de 2013): 1584–93. http://dx.doi.org/10.1109/twc.2013.022013.120266.

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21

Tang, Bin, Baoliu Ye, Sanglu Lu y Song Guo. "Coding-Aware Proportional-Fair Scheduling in OFDMA Relay Networks". IEEE Transactions on Parallel and Distributed Systems 24, n.º 9 (septiembre de 2013): 1727–40. http://dx.doi.org/10.1109/tpds.2012.269.

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22

Kushner, H. J. y P. A. Whiting. "Convergence of Proportional-Fair Sharing Algorithms Under General Conditions". IEEE Transactions on Wireless Communications 3, n.º 4 (julio de 2004): 1250–59. http://dx.doi.org/10.1109/twc.2004.830826.

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23

Andrews, M. "Instability of the Proportional Fair Scheduling Algorithm for HDR". IEEE Transactions on Wireless Communications 3, n.º 5 (septiembre de 2004): 1422–26. http://dx.doi.org/10.1109/twc.2004.833419.

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24

Looney, Mary y Oliver Gough. "A provision aware proportional fair sharing three colour marker". Journal of Network and Computer Applications 36, n.º 1 (enero de 2013): 476–83. http://dx.doi.org/10.1016/j.jnca.2012.04.011.

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25

Monikandan, B. Satheesh, A. Sivasubramanian, S. P. K. Babu, G. K. D. Prasanna Venkatesan y C. Arunachalaperumal. "Channel aware optimized proportional fair scheduler for LTE downlink". Peer-to-Peer Networking and Applications 13, n.º 6 (29 de enero de 2020): 2135–44. http://dx.doi.org/10.1007/s12083-019-00826-z.

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26

Liu, E. y K. K. Leung. "Throughput of proportional fair scheduling over Rayleigh fading channels". Electronics Letters 45, n.º 23 (2009): 1180. http://dx.doi.org/10.1049/el.2009.0943.

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27

Du, Peng y Qingmin Meng. "Distributed proportional fair frequency allocation across multiple base stations". Journal of Electronics (China) 30, n.º 4 (11 de julio de 2013): 335–40. http://dx.doi.org/10.1007/s11767-013-3034-1.

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28

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

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29

Ezeribe, Basil. "An Improved Proportional Fair Scheduling Algorithm for Downlink LTE Cellular Network". International Journal for Research in Applied Science and Engineering Technology 9, n.º 10 (31 de octubre de 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 MATLAB-based System Level simulator by Vienna University. The developed algorithm was compared to other scheduling algorithms such as the Proportional Fair (PF) algorithm, Best Channel Quality Indicator (CQI), and Round Robin (RR) scheduling methods. The system performance was also analyzed under different scenarios using different performance metrics. The achieved results showed that the developed algorithm had a better throughput performance than the Round Robin and Proportional fair scheduling. The developed algorithm shows improved cell edge throughputs of about 19.2% (as at 20 users) and 9.1% higher for cell edge users without and with mobility impact respectively. The Best CQI algorithm had higher peak throughput values but the fairness was highly compromised. The developed algorithm outperforms the Best CQI by 136.6% without the impact of mobility. Finally, in dense conditions, the developed algorithm still outperforms the other algorithms with a QoS metric of 4.6% increment when compared to the PF algorithm which was the closest competitor. Keywords: UE, eNodeB, Scheduling, Proportional Fair, LTE,
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30

Hanbyul Seo y Byeong Gi Lee. "Proportional-fair power allocation with CDF-based scheduling for fair and efficient multiuser OFDM systems". IEEE Transactions on Wireless Communications 5, n.º 5 (mayo de 2006): 978–83. http://dx.doi.org/10.1109/twc.2006.1633349.

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31

WOEGINGER, GERHARD J. "A NOTE ON FAIR DIVISION UNDER INTERVAL UNCERTAINTY". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14, n.º 06 (diciembre de 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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32

Elshennawy, Nada M. "Modified Proportional Fair Scheduling Algorithm for Heterogeneous LTE-A Networks". International Journal of Interactive Mobile Technologies (iJIM) 14, n.º 10 (30 de junio de 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 the PF cost function. These methods are geometric mean, root mean square and arithmetic mean. Vienna simulator is used to study the performance of the proposed algorithms. A comparison between PF modifications and the most famous algorithms (the original PF and Best CQI algorithms) with various UE velocities is introduced. Average UE throughput, spectral efficiency, energy per bit, cell throughput and fairness are used as performance indicators. The results expose that QPF has best improved values for spectral efficiency, energy per bit and fairness by 8.4%, 14%, and 9.3%, respectively than original PF. However, Best CQI has a better value of average UE and cell throughput than all algorithms of 2% and 1.8% in low and medium UE velocity, respectively, but the best value of all types of throughput at high speed is gained by QPF. QPF and GMPF has the same performance in fairness with all UEs speeds.
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33

Mamane, Asmae, M. Fattah, M. El Ghazi, Y. Balboul, M. El Bekkali y S. Mazer. "Proportional fair buffer scheduling algorithm for 5G enhanced mobile broadband". International Journal of Electrical and Computer Engineering (IJECE) 11, n.º 5 (1 de octubre de 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 efficiently. The proportional fair (PF) scheduling algorithm and its modified versions have proved to be the commonly used scheduling algorithms for their ability to provide a tradeoff between throughput and fairness. In this article, the buffer status is combined with the PF metric to suggest a new scheduling algorithm for efficient support for eMBB. The effectiveness of the proposed scheduling strategy is proved through à comprehensive experimental analysis based on the evaluation of different quality of service key performance indicators (QoS KPIs) such as throughput, fairness, and buffer status.
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34

Liu, Fei y Marina Petrova. "Performance of Proportional Fair Scheduling for Downlink PD-NOMA Networks". IEEE Transactions on Wireless Communications 17, n.º 10 (octubre de 2018): 7027–39. http://dx.doi.org/10.1109/twc.2018.2865362.

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35

Margolies, Robert, Ashwin Sridharan, Vaneet Aggarwal, Rittwik Jana, N. K. Shankaranarayanan, Vinay A. Vaishampayan y Gil Zussman. "Exploiting Mobility in Proportional Fair Cellular Scheduling: Measurements and Algorithms". IEEE/ACM Transactions on Networking 24, n.º 1 (febrero de 2016): 355–67. http://dx.doi.org/10.1109/tnet.2014.2362928.

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36

Liu, Chang, Xiaowei Qin, Sihai Zhang y Wuyang Zhou. "Proportional-fair downlink resource allocation in OFDMA-based relay networks". Journal of Communications and Networks 13, n.º 6 (diciembre de 2011): 633–38. http://dx.doi.org/10.1109/jcn.2011.6157480.

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37

Singh, Sarabjot, Mikhail Geraseminko, Shu-ping Yeh, Nageen Himayat y Shilpa Talwar. "Proportional Fair Traffic Splitting and Aggregation in Heterogeneous Wireless Networks". IEEE Communications Letters 20, n.º 5 (mayo de 2016): 1010–13. http://dx.doi.org/10.1109/lcomm.2016.2547418.

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38

Liu, Fei, Janne Riihijarvi y Marina Petrova. "Analysis of Proportional Fair Scheduling Under Bursty On-Off Traffic". IEEE Communications Letters 21, n.º 5 (mayo de 2017): 1175–78. http://dx.doi.org/10.1109/lcomm.2017.2657495.

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39

Fritzsche, Richard, Peter Rost y Gerhard P. Fettweis. "Robust Rate Adaptation and Proportional Fair Scheduling With Imperfect CSI". IEEE Transactions on Wireless Communications 14, n.º 8 (agosto de 2015): 4417–27. http://dx.doi.org/10.1109/twc.2015.2420564.

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40

Gu, Jaheon, Sueng Jae Bae, Syed Faraz Hasan y Min Young Chung. "Heuristic Algorithm for Proportional Fair Scheduling in D2D-Cellular Systems". IEEE Transactions on Wireless Communications 15, n.º 1 (enero de 2016): 769–80. http://dx.doi.org/10.1109/twc.2015.2477998.

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41

Liu, Guangyi, Li Li, Leonard J. Cimini y Chien-Chung Shen. "Extending Proportional Fair Scheduling to Buffer-Aided Relay Access Networks". IEEE Transactions on Vehicular Technology 68, n.º 1 (enero de 2019): 1041–44. http://dx.doi.org/10.1109/tvt.2018.2879757.

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42

Kim, Minhoe, Kisong Lee y Dong-Ho Cho. "Proportional Fair Resource Allocation in Energy Harvesting-Based Wireless Networks". IEEE Systems Journal 12, n.º 3 (septiembre de 2018): 2399–402. http://dx.doi.org/10.1109/jsyst.2016.2616506.

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43

Kim, Hoon y Youngnam Han. "An Opportunistic Channel Quality Feedback Scheme for Proportional Fair Scheduling". IEEE Communications Letters 11, n.º 6 (junio de 2007): 501–3. http://dx.doi.org/10.1109/lcomm.2007.070106.

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44

Jeon, J. H. y J. T. Lim. "Delay controlled proportional fair scheduling in Rayleigh fading wireless channel". IET Communications 6, n.º 17 (27 de noviembre de 2012): 2816–24. http://dx.doi.org/10.1049/iet-com.2012.0101.

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45

KOH, C. H. y Y. Y. KIM. "Proportional Fair Scheduling for Multicast Services in Wireless Cellular Networks". IEICE Transactions on Communications E91-B, n.º 2 (1 de febrero de 2008): 669–72. http://dx.doi.org/10.1093/ietcom/e91-b.2.669.

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46

Zhou, Hui, Pingyi Fan y Dongning Guo. "Joint Channel Probing and Proportional Fair Scheduling in Wireless Networks". IEEE Transactions on Wireless Communications 10, n.º 10 (octubre de 2011): 3496–505. http://dx.doi.org/10.1109/twc.2011.072511.110035.

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47

Jeon, Jae-Han y Jong-Tae Lim. "Proportional Fair Scheduling with Capacity Estimation for Wireless Multihop Networks". Wireless Personal Communications 68, n.º 3 (6 de diciembre de 2011): 507–15. http://dx.doi.org/10.1007/s11277-011-0465-6.

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48

Stiliadis, D. y A. Varma. "Rate-proportional servers: a design methodology for fair queueing algorithms". IEEE/ACM Transactions on Networking 6, n.º 2 (abril de 1998): 164–74. http://dx.doi.org/10.1109/90.664265.

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49

Banchs, Albert, Pablo Serrano y Huw Oliver. "Proportional fair throughput allocation in multirate IEEE 802.11e wireless LANs". Wireless Networks 13, n.º 5 (15 de junio de 2006): 649–62. http://dx.doi.org/10.1007/s11276-006-6972-9.

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50

Zhou, Hui, Pingyi Fan y Jie Li. "Global Proportional Fair Scheduling for Networks With Multiple Base Stations". IEEE Transactions on Vehicular Technology 60, n.º 4 (mayo de 2011): 1867–79. http://dx.doi.org/10.1109/tvt.2011.2119502.

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