Multicast resource allocation and transmission method based on scalable video in multi-base station heterogeneous network

Abstract

The invention discloses a multicast resource allocation and transmission method based on a scalable video in a multi-base station heterogeneous network. The multicast resource allocation and transmission method is characterized by comprising the following steps: 1, grouping base stations in the network; 2, dividing a transmitted video stream into a base layer and a reinforced layer; 3, selecting a suitable transmission scheme for each video layer by a base station control center; and 4, calculating an utility value of the whole system by the system according to the number of video layers received by users. By adoption of the multicast resource allocation and transmission method disclosed by the invention, the spectrum resources can be effectively used, the utility value of the whole system is increased, and the overall throughput of the network environment is effectively improved, thereby providing better video services for the users.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a method for multicast resource allocation, power allocation and transmission of scalable video in a multi-base station system. Background technique [0002] With the development of telecommunication technology, 3G and 4G technologies have been used for video on demand, online video, online game IPTV, etc. The next-generation wireless communication technology 5G is oriented to 2020. The overall wireless mobile network needs to have 1000 times the mobile traffic provision capability. The throughput per unit area needs to be 1000 times or even higher than the current 4G (above 100Gbps / km2). Among them, video services account for 79% of the total market traffic. Therefore, in order to improve the overall performance of the cellular network, improve the utilization rate of the increasingly scarce spectrum resources, and meet the requirements of equipment for transmission rates,...

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Problems solved by technology

[0003] Li P L, Zhang H H, Zhang B H, et al..Scalable video multicast with adaptive modulation and coding in broadband wireless data system[J].IEEETransaction networking, 2012 proposed based on the model of adaptive modulation and coding based on scalable video multicast A dynamic programming algorithm is used to solve the optimal solution of resource allocation, but its complexity is high, and it cannot meet the real-time requirements in actual transmission.

Moreover, all the above research results are under the single base station system, that is, users in an area can only be covered by one base station, so the performance cannot be effectively improved

[0004] Burchardt H, Haas H, et al..Multicell cooperation:evolution of coordination and cooperation in large-scale networks[C].IEEE MWC,2013 proposed a multi-base station system with distributed cooperative control, in which each base station It can cooperate to provide data services for the edge users of the cell and can independently choose its own data transmission scheme, and carry out data transmission for better cooperation, but it cannot completely solve the problem that some edge users cannot receive the transmitted data

[0005] Li J, Bao Z M, Zhang C X, et al..Scalable Video Multicast with JointResource Allocation and Adaptive Modulation and Coding over Multiple BaseStation Networks[C].IEEE International Conference on Networking, Sensing and Control(ICNSC), Taipei April 2015:134- The layered video multicast in 139. only mentions the allocation of resource particles, without considering the power allocation. Many edge devices may not be able to receive signals due to poor channel quality, resulting in a very low value of the overall utility function of the system.

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