Comparison of Various Scheduling Schemes for

The Long Term Evolution supports high peak data rates (100 Mb/s in the downlink and 50 Mb/s in the uplink), low latency (10ms round-trip delay) in different bandwidths ranging from 1.4MHz up to 20MHz. In mobile broadband networks like LTE, the high performance of the radio network can be realized with proper scheduling of resources for different types of services. The scheduling of resources in the transport network is an area which needs proper attention especially, for real time traffic like VoIP. During periods of congestion, real time services like VoIP can be severely impacted if there is a marginal increase in the end to end delay between VoIP packets or there is a packet loss in the transport network. Therefore, the choice of scheduling strategies plays a key role in guaranteeing good end to end performance for both voice and data services. This paper presents various transport network scheduling strategies for resource allocation and their impact on real time traffic in LTE networks. The study of this paper will be beneficial for understanding basics of LTE networks and scheduling schemes for further deep studies.

[1]  C.-C. Jay Kuo,et al.  Quality of service for internet multimedia , 2003 .

[2]  P. Hosein Scheduling of VoIP traffic over a time-shared wireless packet data channel , 2005, 2005 IEEE International Conference on Personal Wireless Communications, 2005. ICPWC 2005..

[3]  Haiming Wang,et al.  Principle and Performance of Semi-Persistent Scheduling for VoIP in LTE System , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

[4]  Seokhoon Kang,et al.  MAC Scheduling Scheme for VoIP Traffic Service in 3G LTE , 2007, 2007 IEEE 66th Vehicular Technology Conference.

[5]  Long Term Evolution ( LTE ) : Overview of LTE Air-Interface , 2007 .

[6]  Stefan Wänstedt,et al.  Mixed Traffic HSDPA scheduling - Impact on VoIP Capacity , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

[7]  Analysis and Simulation of a Fair Queuing Algorithm , 2008 .

[8]  Iana Siomina,et al.  The impact of QoS support on the end user satisfaction in LTE networks with mixed traffic , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[9]  Borko Furht,et al.  Long Term Evolution: 3GPP LTE Radio and Cellular Technology , 2009 .

[10]  Zhonghai Lu,et al.  QoS scheduling for NoCs: Strict Priority Queueing versus Weighted Round Robin , 2010, 2010 IEEE International Conference on Computer Design.

[11]  Jinho Hwang,et al.  A mobile VoIP architecture over LTE & WLAN networks , 2010, 2010 The 12th International Conference on Advanced Communication Technology (ICACT).

[12]  Slađana Zorić,et al.  Fairness of scheduling algorithms for real-time traffic in DiffServ based networks , 2010, Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference.

[13]  Andreas Timm-Giel,et al.  Multi-QoS-Aware Fair Scheduling for LTE , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[14]  Matthew Baker Long-Term Evolution (LTE) , 2013 .