Abstract
At present, wireless network technology is advancing rapidly, and intelligent equipment is gradually popularized, which rapidly developed the mobile streaming media business. All kinds of mobile video applications have enriched people’s lives by carrying huge traffic randomly. Wireless networks (WNs) are facing an unprecedented burden, which allocates very important wireless video resources. Similarly, in WNs, the network status is dynamic and the terminal is heterogeneous, which causes the traditional video transmission system to fail to meet the needs of users. Hence, Scalable Video Coding (SVC) has been introduced in the video transmission system to achieve bit rate adaptation. However, in a strictly hierarchical traditional computer network, the wireless resource allocation strategy usually takes throughput as the only way to optimize the target, and it is terrible to make more optimizations for scalable video transmission. This article proposed a cross-layer design to enable information to be transmitted between the wireless base station and the video server to achieve joint optimization. To improve users’ satisfaction with video services, the wireless resource allocation problem and the video stream scheduling problem are jointly considered, which keep the optimization space larger. Based on the proposed architecture, we further study the design of wireless resource allocation algorithms and rate-adaptive algorithms for the scenario of multiuser transmission of scalable video in the Long-Term Evolution (LTE) downlink. Experimental outcomes have shown substantial performance enhancement of the proposed work.
Highlights
With the popularity of smartphones and the increase of mobile network bandwidth, in recent years, a dazzling array of video applications have appeared on the mobile side, and watching videos on mobile devices has become a habit of many people
In [18], across-layer models are presented for transmitting SVC video under the LTE system, based on channel quality for resource scheduling and code rate adaptation. e layer number decision method proposed is relatively simple and only divides the layer number according to the channel quality feedback from the users
A suboptimal algorithm can be designed to reduce computational complexity by separating SB allocation and MCS selection and adopting a more aggressive MCS selection strategy. e main idea of this method is as follows. It relaxes the MCS constraints and allocates SBs; it, estimates the average SINR of multiple SBs allocated to the same user and selects the corresponding SINR based on this equivalent SINR and MCS
Summary
With the popularity of smartphones and the increase of mobile network bandwidth, in recent years, a dazzling array of video applications have appeared on the mobile side, and watching videos on mobile devices has become a habit of many people. In the current network architecture, the wireless network resource allocation and the video transmission protocol belong to different network levels, and it is difficult for the two to transmit information and work together. To solve this problem the idea of cross-layer optimization can be adopted. E use of cross-layer design is helpful to optimize the resource allocation algorithm of the wireless network and improve the effectiveness of the bit rate-adaptive algorithm. (i) An SVC multiuser transmission system in the LTE network is designed, which can jointly optimize the wireless resource allocation problem and the bit rate adaptation problem.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
