SNR- Versus Rate-Based Proportional Fair Scheduling in Rayleigh Fading Channels
Author:
Funder
Ministerio de Economía y Competitividad
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/content/pdf/10.1007/s11277-018-5928-6.pdf
Reference16 articles.
1. Entrambasaguas, J. T. (2007). Multiuser capacity and fairness of channel/QoS-aware multiplexing algorithms. IEEE Network, 21(3), 24–30.
2. Viswanath, P., Tse, D. N. C., & Laroia, R. (2002). Opportunistic beamforming using dumb antennas. IEEE Transactions on Information Theory, 48(6), 1277–1294.
3. Shakkottai, S., & Stolyar, A. L. (2001). Scheduling algorithms for a mixture of real-time and non-real-time data in HDR. In Proceedings of 17th international teletraffic congress (vol. 4, pp. 793-804).
4. Valkova-Jarvis, Z. V., & Stoynov, V. R. (2017). Novel throughput quantile averaging methods for the proportional fair algorithm in indoor mobile networks. In 2017 advances in wireless and optical communications (RTUWO), Riga (pp. 198-202).
5. Liu, E., & Leung, K. (2010). Expected throughput of the proportional fair scheduling over Rayleigh fading channels. IEEE Communications Letters, 14(6), 515–517.
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