Discrete bit loading for multicarrier modulation systems
Discrete bit loading for multicarrier modulation systems
An OFDMA-Based Subcarrier and Power Allocation Scheme in Wireless Cooperative Cellular Systems
Wireless Personal Communications: An International Journal
IEEE Transactions on Image Processing
MIMO video broadcast via transmit-precoding and SNR-scalable video coding
IEEE Journal on Selected Areas in Communications
OLM: Opportunistic Layered Multicasting for Scalable IPTV over Mobile WiMAX
IEEE Transactions on Mobile Computing
Transmit beamforming for physical-layer multicasting
IEEE Transactions on Signal Processing - Part I
Multiuser adaptive subcarrier-and-bit allocation with adaptive cell selection for OFDM systems
IEEE Transactions on Wireless Communications
Resource Allocation for Multicast Services in Multicarrier Wireless Communications
IEEE Transactions on Wireless Communications
CSI Feedback for Dynamic Switching Between Single User and Multiuser MIMO
Wireless Personal Communications: An International Journal
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
Unequal Protection of Video Data According to Slice Relevance
IEEE Transactions on Image Processing
Hi-index | 0.00 |
We propose a framework for efficient scalable video multicast over downlink orthogonal frequency-division multiplexing (OFDM) systems with multiple transmit antennas. In conventional video multicast systems, the achievable transmission rate is determined by the user with the worst channel condition, and the system saturates the capacity when the number of users increases. To accommodate the heterogeneous channel conditions and device capabilities of various users, scalable video coding (SVC) encodes video streams into base and enhancement layers. We exploit the advances in multi-antenna OFDM and the layered nature of SVC, and propose a framework for scalable video multicast which guarantees the base layer quality for all users while making best use of limited resource for the enhancement layer of users with good channel conditions. We show that the resource allocation that includes the transmit precoding, subcarrier allocation, and bit and power allocation is a very difficult optimization problem. A low-complexity suboptimal algorithm is proposed which is suitable for practical implementations. Simulation results are provided to show the effectiveness of the proposed solution.