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Vol: 55(69) No: 3 / September 2010

DQOAS Performances for Traffic Mix Delivery over LTE Networks Using a New QoS Parameter Mapping Scheme
V. H. Muntean
Communications Department, “Politehnica” University of Timisoara, Faculty of Electronics and Telecommunications, Bd. V.Parvan 2, 300223 Timisoara, Romania, phone: (0040) 256-40-3301, e-mail: horia.muntean@etc.upt.co
M. Otesteanu
Communications Department, “Politehnica” University of Timisoara, Faculty of Electronics and Telecommunications, Bd. V.Parvan 2, 300223 Timisoara, Romania, e-mail: marius.otesteanu@etc.upt.co
G.-M. Muntean
Dublin City University, School of Electronic Engineering, Glasnevin, Dublin 9, Ireland, phone: (+353) 1-700-7648, e-mail: munteang@eeng.dcu.ie


Keywords: content adaptation, QoS, LTE, scheduling algorithm, wireless networks

Abstract
In a wireless medium, the radio resources fairly shared among the connected devices are used to deliver the required content. If we are to consider the adaptation process just between the delivery server and the device, than we can find many adaptation algorithms able to offer very good performances. But if we want to increase the end-used perceived quality, we have to take into account another factor, which is the users’ individual set of characteristics. In the process of achieving this goal a new user-oriented adaptive algorithm based on QOAS was designed and developed with different strategies to address the user satisfaction problem [1]. The good results obtained by the DQOAS algorithm in IEEE 802.11 wireless environment, motivated the research about the utility of the newly proposed algorithm in another wireless environment, LTE. The study shows that DQOAS algorithm can obtain good results in terms of application perceived quality, when the considered application generates multiple streams. These results can be improved by using a new QoS parameters mapping scheme able to modify the streams’ priority and thus allowing the algorithms decisions to not be overridden by the scheduler. Because the scheduler is on important component of the LTE QoS mechanism, some basic scheduling strategies were also analyzed and the results show that the Proportional Fair algorithm obtains better performances than Round Robin or Maximum Throughput.

References
[1] V. H. Muntean, G.-M. Muntean, “A Novel Adaptive Multimedia Delivery Algorithm for Increasing User Quality of Experience during Wireless and Mobile Learning”, in Proc. IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, Bilbao, Spain, May 2009.
[2] B. Furht and S. Ahson, Long Term Evolution – 3GPP LTE Radio and Cellular Technology.,CRC Press, 2009.
[3] B. Sadiq, R. Madan and A. Sampath, “Downlink Scheduling for Multiclass Traffic in LTE”, EURASIP Journal on Wireless Communications and Networking, vol. 2009, Article ID 510617, 18 pp., July 2009.
[4] K. Seong, M. Mohseni and J. M. Cioffi, “Optimal resource allocation for OFDMA downlink systems” in Proceedings of the IEEE International Symposium on Information Theory (ISIT ’06), Seattle, USA, July 2006.
[5] N. Chen and S. Jordan, “Downlink scheduling with probabilistic guarantees on short-term average throughputs”, in Proc. IEEE Wireless Communications and Networking Conference (WCNC ’08), Las Vegas, USA, April 2008.
[6] L. A. de Temino, G. Berardinelli et al., “Channel-Aware Scheduling algorithms for SC-FDMA in LTE Uplink”, in Proc. IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2008), Cannes, France, September 2008.
[7] H. Wang and D. Jiang, “Performance Comparison of Control-less Scheduling Policies for VoIP in LTE UL”, in Proc. IEEE Wireless Communications and Networking Conference (WCNC 2008), Las Vegas, USA, April 2008.
[8] M. Al-Rawi, R. Jantti, J. Torsner and M. Sagfors, “On the Performance of Heuristic Opportunistic Scheduling in the Uplink of 3G LTE Networks”, in Proc. IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2008), Cannes, France, September 2008.
[9] M. Wernersson, S. Wanstedt and P. Synnergren, “Effects of QoS scheduling strategies on performance of mixed services over LTE”, in Proc. 18th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC ’07), Athens, Greece, September 2007.
[10] J. Puttonen, N. Kolehmainen et al., “Mixed Traffic Packet Scheduling in UTRAN Long Term Evolution Downlink”, in Proc. IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2008), Cannes, France, September 2008.
[11] I. Siomina and S. Wanstedt, “The Impact of QoS Support on the End User Satisfaction in LTE Networks with Mixed Traffic”, in Proc. IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2008), Cannes, France, September 2008.
[12] G.-M. Muntean, “Efficient Delivery of Multimedia Streams Over Broadband Networks using QOAS”, IEEE Transactions on Broadcasting, vol.52, No.2, pp. 230-235, June 2006.
[13] J. C. Ikuno, M. Wrulich and M. Rupp, “System level simulator of LTE networks”, Proc. IEEE 71st Vehicular Technology Conference, Taipei, Taiwan, May 2010. Available online at http://www.nt.tuwien.ac.at/about-us/staff/josep-colom-ikuno/lte-system-level-simulator.
[14] V. H. Muntean, M. Otesteanu and G.-M. Muntean, “QoS Parameters Mapping for the E-learning Traffic Mix in LTE Networks”, in Proc. ICCC-CONTI 2010, Timisoara, Romania, 2010.