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摘要:
多播是一种高效率利用带宽资源的技术,可以有效缓解多媒体传输过程中的带宽压力,但传统的多播技术会带来“瓶颈用户”问题,限制多播组内用户的数据速率。多播组分解技术将多播组划分为若干子组并以不同速率接收数据,可以有效解决瓶颈用户带来的速率限制。构建了面向用户端的视频多播传输方案,将可伸缩视频编码(SVC)的分层特点和组分解技术相结合,各多播子组根据实际接收能力解调得到不同质量的SVC视频数据,在保证用户基本视频数据传输的基础上,实现总系统速率最大化。提出了面向资源公平调配的低复杂度多播组分解算法,在改进低复杂度分组(LCS)算法过程中考虑SVC视频层限制,并引入常值向量抑制资源分配不公的情况。经过实验数据模拟和性能评估,所提算法在带宽资源和用户数量变化时,均可以稳定地保持较高的系统速率、频谱效率及系统公平性,且计算复杂度较低,能够实际应用于4G和5G网络架构下的视频传输。
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关键词:
- 可伸缩视频编码(SVC) /
- 多速率多播 /
- 资源分配 /
- 无线网络 /
- 视频流
Abstract:Multicast is widely used in multimedia transmission because it can utilize channel bandwidth efficiently. However traditional multicast scheme has bottleneck rates problem, which may limit the multicast transmission rate. Subgroup formation can solve the problem, which involves splitting and classifying the multicast group into smaller sub-groups based on intra-group users' channel qualities. Firstly, this paper proposed a user-oriented video multicast transmission scheme, that combined scalable video coding (SVC) technology with subgroup formation. Each subgroup demodulated SVC streams of different layers according to actual data receiving capability, during which the scheme maximized the total system rate on the basis of user video transmission. Moreover, a low computational-cost subgroup algorithm for fair resource allocation is proposed. This proposal considered SVC layer limitation based on low-complexity subgrouping (LCS) algorithm and adopted a constant vector to suppress unfair resource allocation. Finally, the results show that the proposed algorithm achieves well performance in terms of system rate, spectrum efficiency and system fairness when the bandwidth resource and the number of users change. In addition, the computational complexity of the algorithm is low, thus it can be applied to video transmission under 4G and 5G network architectures.
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CQI编号 调制方式 码率*1 024 效率 1 QPSK 78 0.152 3 2 QPSK 120 0.234 4 3 QPSK 193 0.377 4 QPSK 308 0.601 6 5 QPSK 449 0.877 6 QPSK 602 1.175 8 7 16QAM 378 1.476 6 8 16QAM 490 1.914 1 9 16QAM 616 2.406 3 10 64QAM 466 2.730 5 11 64QAM 567 3.322 3 12 64QAM 666 3.902 3 13 64QAM 772 4.523 4 14 64QAM 873 5.115 2 15 64QAM 948 5.554 7 表 2 主要仿真参数
Table 2. Main simulation assumptions
参数 数值 每个RB的带宽/kHz 180 小区半径/km 2 可用MCS等级 15 噪声功率密度/(dBm·Hz-1) -174 路径损耗/dB 128.1+37.6lg d 穿透损耗/dB 20 基站发射功率/dBm 28 注: d为无线信号传播距离。 表 3 视频流源速率
Table 3. Source rates of video stream
视频流 源速率/(Mbit·s-1) BL EL1 EL2 EL3 CREW 0.306 0.578 0.814 1.184 FOREMAN 0.170 0.407 0.589 0.890 BUS 0.185 0.390 0.567 0.857 ICE 0.277 0.548 0.767 1.123 -
[1] FENG S, LIU C, SHEN C, et al. An effective and efficient dynamic e-MBMS multicast grouping scheduling algorithm in MBSFNS for public safety scenarios[J]. IEEE Access, 2020, 8: 105701-105712. doi: 10.1109/ACCESS.2020.3000251 [2] MONTALBAN J, SCOPELLITI P, FADDA M, et al. Multimedia multicast services in 5G networks: Subgrouping and non-orthogonal multiple access techniques[J]. IEEE Communications Magazine, 2018, 56(3): 91-95. [3] ABOLHASSANI B, TADROUS J, ERYILMAZ A. Wireless multicasting for content distribution: Stability and delay gain analysis[C]//IEEE INFOCOM 2019-IEEE Conference on Computer Communication. Piscataway: IEEE Press, 2019: 1-9. [4] STRICCOLI D, PIRO G, BOGGIA G. Multicast and broadcast services over mobile networks: A survey on standardized approaches and scientific outcomes[J]. IEEE Communications Surveys & Tutorials, 2018, 21(2): 1020-1063. [5] TAN C K, CHUAH T C, TAN S W. Adaptive multicast scheme for OFDMA based multicast wireless systems[J]. Electronics Letters, 2011, 47(9): 570-572. doi: 10.1049/el.2011.0481 [6] WANG X, LI H, TONG M, et al. Network coded cooperative multicast in integrated terrestrial-satellite networks[C]//IEEE Symposium on Computers and Communications(ISCC). Piscataway: IEEE Press, 2019: 1-6. [7] ARANITI G, CONDOLUCI M, ORSINO A, et al. Effective resource allocation in 5G-satellite networks[C]//IEEE International Conference on Communications (ICC). Piscataway: IEEE Press, 2015: 844-849. [8] ARANITI G, BISIO I, DESANCTIS M, et al. Joint coding and multicast subgrouping over satellite-eMBMS networks[J]. IEEE Journal on Selected Areas in Communications, 2018, 36(5): 1004-1016. [9] 赵一杰. 基于非正交多址接入的多组播可伸缩视频传输的研究[D]. 西安: 西安电子科技大学, 2019: 20-25.ZHAO Y J. Research on multicast scalable video transmission based on non-orthogonal multiple access[D]. Xi'an: Xidian University, 2019: 20-25(in Chinese). [10] CONDOLUCI M, ARANITI G, MOLINARO A, et al. Multicast resource allocation enhanced by channel state feedbacks for multiple scalable video coding streams in LTE networks[J]. IEEE Transactions on Vehicular Technology, 2016, 65(5): 2907-2921. doi: 10.1109/TVT.2015.2449080 [11] ARANITI G, IERA A, MOLINARO A, et al. Exploiting multicast subgrouping for multi-layer video services in 5G-satellite networks[C]//IEEE Global Communications Conference (GLOBECOM). Piscataway: IEEE Press, 2018: 1-6. [12] ARANITI G, ORSINO A, COSMAS J, et al. A low computational-cost subgrouping multicast scheme for emerging 5G-satellite networks[C]//IEEE Broadband Multimedia Systems and Broadcasting (BMSB). Piscataway: IEEE Press, 2016: 1-6. [13] ARANITI G, CONDOLUCI M, COTRONEI M, et al. A solution to the multicast subgroup formation problem in LTE systems[J]. IEEE Wireless Communications Letters, 2015, 4(2): 149-152. doi: 10.1109/LWC.2014.2387824 [14] ARANITI G, BISIO I, SANCTIS M D, et al. Multimedia content delivery for emerging 5G-satellite networks[J]. IEEE Transactions on Broadcasting, 2016, 62(1): 10-23. doi: 10.1109/TBC.2015.2511625 [15] ZHOU H, JI Y, WANG X, et al. Joint resource allocation and user association for svc multicast over heterogeneous cellular networks[J]. IEEE Transactions on Wireless Communications, 2015, 14(7): 3673-3684. doi: 10.1109/TWC.2015.2409834 [16] SHARMA N, MADHUKUMAR A S. Genetic algorithm aided proportional fair resource allocation in multicast OFDM systems[J]. IEEE Transactions on Broadcasting, 2015, 61(1): 16-29. doi: 10.1109/TBC.2015.2389692 [17] ARANITI G, CONDOLUCI M, PETROLINO A. Efficient resource allocation for multicast transmissions in satellite-LTE networks[C]//IEEE Global Communications Conference(GLOBECOM). Piscataway: IEEE Press, 2013: 3023-3028.