Proportionally fair scheduler for heterogeneous wireless systems

The proportional fair allocation depends firstly upon the priority weights given to users and secondly upon the proportional distribution of resources according to these weights. This distribution is trivial in single-technology systems but remains unresolved for heterogeneous wireless systems. This letter addresses this allocation problem not paying attention to the weights calculation, because this issue has been widely studied in the past. The novel proportionally fair scheduler for heterogeneous wireless systems (PFS-H) is based on linear programming and allocates any arbitrary resource quantity to users that are simultaneously served by several technologies. Given a priority list, the solution of the optimisation problem divides users and technologies into clusters to perform the fairest allocation of resources among users while maximising its usage. Results show that the PFS-H improves fairness up to 60% as compared with a single-technology policy. Copyright © 2011 John Wiley & Sons, Ltd.Calabuig Soler, D.; Monserrat Del Río, JF.; Cardona Marcet, N. (2012). Proportionally fair scheduler for heterogeneous wireless systems. Transactions on Emerging Telecommunications Technologies. 23(1):1-5. doi:10.1002/ett.150215231Pérez-Romero, J., Sallent, O., Agustí, R., & Díaz-Guerra, M. A. (2005). Radio Resource Management Strategies in UMTS. doi:10.1002/0470022795Parekh, A. K., & Gallager, R. G. (1993). A generalized processor sharing approach to flow control in integrated services networks: the single-node case. IEEE/ACM Transactions on Networking, 1(3), 344-357. doi:10.1109/90.234856Andrews, M., Kumaran, K., Ramanan, K., Stolyar, A., Whiting, P., & Vijayakumar, R. (2001). Providing quality of service over a shared wireless link. IEEE Communications Magazine, 39(2), 150-154. doi:10.1109/35.900644Liu, Q., Wang, X., & Giannakis, G. B. (2006). A Cross-Layer Scheduling Algorithm With QoS Support in Wireless Networks. IEEE Transactions on Vehicular Technology, 55(3), 839-847. doi:10.1109/tvt.2006.873832Manilici, V., Wundsam, A., Feldmann, A., & Vidales, P. (2009). Potential benefit of flow-based routing in multihomed environments. European Transactions on Telecommunications, 20(7), 650-659. doi:10.1002/ett.1392Sachs, J., & Magnusson, P. (2009). Assessment of the access selection gain in multi-radio access networks. European Transactions on Telecommunications, 20(3), 265-279. doi:10.1002/ett.1254Sachs, J., & Olsson, M. (2010). Access network discovery and selection in the evolved 3GPP multi-access system architecture. European Transactions on Telecommunications, 21(6), 544-557. doi:10.1002/ett.1410Salem, M., Adinoyi, A., Rahman, M., Yanikomeroglu, H., Falconer, D., & Kim, Y.-D. (2010). Fairness-aware radio resource management in downlink OFDMA cellular relay networks. IEEE Transactions on Wireless Communications, 9(5), 1628-1639. doi:10.1109/twc.2010.05.081548Jain R Chiu DM Hawe W A quantitative measure of fairness and discrimination for resource allocation in shared systems DEC Research Report TR-301 1984Monserrat J González LM Fraile R Cardona N Morans layer 2: traffic information synthetic scenario 200