Spectrum-aware radio resource management for scalable video multicast in LTE-advanced systems

In this paper, we consider scalable video multicast to LTE-A user groups. We focus on the problem in accommodating the varying channel conditions amongst group members to adaptively select modulation schemes that meet the desired QoS objectives for the bitstream layers. We envision a fair provisioning of the base layer to ensure baseline quality to all users and an opportunistic provisioning of the enhancement layers to maximize system utility. We show NP-Hardness in the formulation of the base and enhancement layer resource allocation to the groups and design greedy approximations to solve them. Further, this paper discusses a scheduling mechanism to handle contention of resources amongst groups. We developed and integrated a carrier aggregation module in network simulator NS3 to conduct extensive simulations. In different scenarios, we demonstrate improvements in terms of achieved base and enhancement layer throughputs, net downlink LTE-A throughput and satisfiability of the groups.

[1]  Oscar H. Ibarra,et al.  Fast Approximation Algorithms for the Knapsack and Sum of Subset Problems , 1975, JACM.

[2]  Ramesh Krishnamurti,et al.  Energy-Efficient Multicasting of Scalable Video Streams Over WiMAX Networks , 2011, IEEE Transactions on Multimedia.

[3]  Christos Bouras,et al.  Efficient MCS selection for MBSFN transmissions over LTE networks , 2010, 2010 IFIP Wireless Days.

[4]  Janne Kurjenniemi,et al.  Point-to-Multipoint Multimedia Broadcast Multicast Service (MBMS) Performance over HSDPA , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[5]  Baohua Zhao,et al.  Scalable video multicast in multi-carrier wireless data systems , 2009, 2009 17th IEEE International Conference on Network Protocols.

[6]  Shan Lu,et al.  Channel-Aware Frequency Domain Packet Scheduling for MBMS in LTE , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[7]  Marceau Coupechoux,et al.  Joint Impact of Pathloss Shadowing and Fast Fading - An Outage Formula for Wireless Networks , 2010, ArXiv.

[8]  Tapani Ristaniemi,et al.  Dynamic packet scheduling performance in UTRA Long Term Evolution downlink , 2008, 2008 3rd International Symposium on Wireless Pervasive Computing.

[9]  Preben E. Mogensen,et al.  Carrier load balancing and packet scheduling for multi-carrier systems , 2010, IEEE Transactions on Wireless Communications.

[10]  Klaus I. Pedersen,et al.  Performance Analysis of Downlink Inter-Band Carrier Aggregation in LTE-Advanced , 2011, 2011 IEEE Vehicular Technology Conference (VTC Fall).

[11]  Robert M. Nauss,et al.  Solving the Generalized Assignment Problem: An Optimizing and Heuristic Approach , 2003, INFORMS J. Comput..

[12]  Xiaowen Li,et al.  A effective SINR link to system mapping method for CQI feedback in TD-LTE system , 2011, 2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineering.

[13]  H IbarraOscar,et al.  Fast Approximation Algorithms for the Knapsack and Sum of Subset Problems , 1975 .

[14]  Antti Toskala,et al.  LTE for UMTS - OFDMA and SC-FDMA Based Radio Access , 2009 .

[15]  Chunyan Feng,et al.  A Resource Scheduling Algorithm Based on User Grouping for LTE-Advanced System with Carrier Aggregation , 2009, 2009 International Symposium on Computer Network and Multimedia Technology.

[16]  Prasant Mohapatra,et al.  Edge-prioritized channel- and traffic-aware uplink Carrier Aggregation in LTE-advanced systems , 2012, 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[17]  Salah-Eddine Elayoubi,et al.  On the capacity of OFDMA 802.16 systems , 2006, 2006 IEEE International Conference on Communications.

[18]  A. Jalali,et al.  Data throughput of CDMA-HDR a high efficiency-high data rate personal communication wireless system , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).