支持D2D多播的蜂窝网络分簇策略与资源分配
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摘要
针对蜂窝网络中D2D多播容量受限于簇内信道质量最差用户的问题和D2D多播复用蜂窝信道产生的同频干扰,提出一种新的分簇策略与资源分配的联合优化算法,在保证蜂窝和D2D用户最小SINR前提下,最大化系统总容量。由于所提优化问题难以获得最优解,通过将该问题分解成功率控制和用户分簇与信道分配两个子问题,求得其次优解。其中,分簇策略采用改进k-medoids的基于用户信道质量的多播分簇算法(CQCA),在保证用户公平性的前提下提升瓶颈用户吞吐量,并通过联合分簇策略和信道分配,减小信道复用产生的同频干扰。仿真结果表明,该算法相比传统分簇策略显著提升多播簇容量,并提升系统总吞吐量。
In the scenario of multicast D2D communication underlaying a cellular network,a new optimization scheme of clustering strategy and resource allocation is proposed aiming at reducing the co-channel interference caused by channel reuse and increasing the limited capacity of multicast D2D communication caused by the worst channel quality in the cluster. We formulate the optimization problem for maximizing the total system capacity to ensure the minimum SINR for cellular and D2D users,but it is difficult to find the optimal solution. We decompose the problem into two sub-problems, power control sub-problem and clustering and channel allocation sub-problem, to find the sub-optimal solutions. Based on k-medoids clustering algorithm,a channel quality-based clustering algorithm is proposed to improve the multicast D2D capacity. Then, through the joint clustering and channel allocation strategy, the co-channel interference is reduced. Simulation shows that the proposed CQCA significantly improves the minimum throughput of multicast D2D users and results in a great improvement in the total system throughput.
In the scenario of multicast D2D communication underlaying a cellular network,a new optimization scheme of clustering strategy and resource allocation is proposed aiming at reducing the co-channel interference caused by channel reuse and increasing the limited capacity of multicast D2D communication caused by the worst channel quality in the cluster. We formulate the optimization problem for maximizing the total system capacity to ensure the minimum SINR for cellular and D2D users,but it is difficult to find the optimal solution. We decompose the problem into two sub-problems, power control sub-problem and clustering and channel allocation sub-problem, to find the sub-optimal solutions. Based on k-medoids clustering algorithm,a channel quality-based clustering algorithm is proposed to improve the multicast D2D capacity. Then, through the joint clustering and channel allocation strategy, the co-channel interference is reduced. Simulation shows that the proposed CQCA significantly improves the minimum throughput of multicast D2D users and results in a great improvement in the total system throughput.
引文
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[12] Xu X, Du B, Wang C. On the bottleneck users for multiple-antenna physical-layer multicasting[J]. IEEE Transactions on Vehicular Technology, 2014, 63(6): 2 977-2 982.
[13] Kim I H, Love D J, Park S Y. Optimal and successive approaches to signal design for multiple antenna physical layer multicasting[J]. IEEE Transactions on Communications, 2011, 59(8): 2 316-2 327.
[14] Peng B, Peng T, Liu Z, et al. Cluster-based multicast transmission for device-to-device (D2D) communication[C]//Vehicular Technology Conference. IEEE, 2013:1-5.
[15] 江帆, 申斌艳, 李晨碧,等. 提高D2D多播能效的一种方案[J]. 西安邮电大学学报, 2017, 22(1):12-17.
[16] Feng D, Lu L, Yuan-Wu Y, et al. Device-to-device communications underlaying cellular networks[J]. IEEE Transactions on Communications, 2013, 61(8): 3 541-3 551.
[17] Rodriguez A, Laio A. Clustering by fast search and find of density peaks.[J]. Science, 2014, 344(6 191):1 492.
[18] Tibshirani R, Walther G, Hastie T. Estimating the number of clusters in a data set via the gap statistic[J]. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2001, 63(2): 411-423.
[2] Sepp?l? J, Koskela T, Chen T, et al. Network controlled device-to-device (D2D) and cluster multicast concept for LTE and LTE-A networks[C]//IEEE Wireless Communications and Networking Conference. IEEE, 2011: 986-991.
[3] Asadi A, Wang Q, Mancuso V. A survey on device-to-device communication in cellular networks[J]. Journal of Guilin University of Electronic Technology, 2014, 16(4):1 801-1 819.
[4] Bhardwaj A, Agnihotri S. A resource allocation scheme for multiple device-to-device multicasts in cellular networks[C]//Wireless Communications and Networking Conference. IEEE, 2016:1-6.
[5] Meshgi H, Zhao D, Zheng R. Joint channel and power allocation in underlay multicast device-to-device communications[C]//IEEE International Conference on Communications(ICC). IEEE, 2015:2 937-2 942.
[6] Meshgi H, Zhao D, Zheng R. Optimal resource allocation in multicast device-to-device communications underlaying LTE networks[J]. IEEE Transactions on Vehicular Technology, 2017, 66(9):8 357-8 371.
[7] Afolabi R O, Dadlani A, Kim K. Multicast scheduling and resource allocation algorithms for OFDMA-based systems: a survey[J]. IEEE Communications Surveys & Tutorials, 2013, 15(1):240-254.
[8] Koskela T, Hakola S, Chen T, et al. Clustering concept using device-to-device communication in cellular system[C]//Wireless Communications and Networking Conference. IEEE, 2010: 1-6.
[9] Peng B, Hu C, Peng T, et al. A resource allocation scheme for D2D multicast with QoS protection in OFDMA-based systems[C]//IEEE, International Symposium on Personal Indoor and Mobile Radio Communications. IEEE, 2013:12 383-12 387.
[10] 杜柏生. 无线物理层多播中的预编码技术研究[D]. 合肥:中国科学技术大学, 2014.
[11] Sidiropoulos N D, Davidson T N, Luo Z Q. Transmit beamforming for physical-layer multicasting[J]. IEEE Transactions on Signal Processing, 2006, 54(6): 2 239-2 251.
[12] Xu X, Du B, Wang C. On the bottleneck users for multiple-antenna physical-layer multicasting[J]. IEEE Transactions on Vehicular Technology, 2014, 63(6): 2 977-2 982.
[13] Kim I H, Love D J, Park S Y. Optimal and successive approaches to signal design for multiple antenna physical layer multicasting[J]. IEEE Transactions on Communications, 2011, 59(8): 2 316-2 327.
[14] Peng B, Peng T, Liu Z, et al. Cluster-based multicast transmission for device-to-device (D2D) communication[C]//Vehicular Technology Conference. IEEE, 2013:1-5.
[15] 江帆, 申斌艳, 李晨碧,等. 提高D2D多播能效的一种方案[J]. 西安邮电大学学报, 2017, 22(1):12-17.
[16] Feng D, Lu L, Yuan-Wu Y, et al. Device-to-device communications underlaying cellular networks[J]. IEEE Transactions on Communications, 2013, 61(8): 3 541-3 551.
[17] Rodriguez A, Laio A. Clustering by fast search and find of density peaks.[J]. Science, 2014, 344(6 191):1 492.
[18] Tibshirani R, Walther G, Hastie T. Estimating the number of clusters in a data set via the gap statistic[J]. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2001, 63(2): 411-423.