| Citation: | Juling ZENG, Chunlei ZHANG, Lisi JIANG, Ling XIA. Channel’s Price-based Resource Allocation for Wireless Virtual Network: A Hierarchical Matching/ Stackelberg Game Approach[J]. Journal of Electronics & Information Technology, 2021, 43(1): 108-115. doi: 10.11999/JEIT191032
|
For the low iteration convergence rate and the disability to track the change of channels in hierarchical matching game, a new resource allocation strategy for wireless virtual networks, i.e., the channel’s price-based hierarchical matching/Stackelberg game is proposed in this paper. A three-level joint optimization model is established on each layer reward function based on stream’s bandwidth-based user’s satisfaction, the system’s bandwidth and the slice’s power. The hierarchical matching/Stackelberg game is adopted to solve the optimizing problem. In the lower layer of the hierarchical game, the
is defined to present Mobile Virtual Network Operator(MVNO) m-InPn and one-to-one matching game between it and UEs is constructed to displace the many-to-one matching game between UEs and MVNOs, where a price based on the global information of channels is given to speed up the identical convergence between the upper and the lower layer and make UEs select the optimal
adapting the channel. After proving the existing of equilibrium, the rejecting-receiving algorithm for one-to-one matching game is proposed. In the upper layer of the hierarchical game, a Stackelberg game between the InPs and many
is formed based on the connection between those users and
, and an optimized power pricing and allocation strategy based on local information of channel are given, which makes the optimal system utility and resource utilization based on channels. Finally, the process for the two-tier cycling is given and the stability of the hierarchical game is characterized. Simulation results show that the channel’s price-based hierarchical matching/Stackelberg game strategy outperforms the random pricing hierarchical matching/Stackelberg game and the conventional hierarchical matching game in the aspect of tracking channel’s changing and spectrum efficiency and system’s utility.
|
LIANG Chengchao and YU F R. Wireless network virtualization: A survey, some research issues and challenges[J]. IEEE Communications Surveys & Tutorials, 2015, 17(1): 358–380. doi: 10.1109/COMST.2014.2352118
|
|
LIANG Chengchao and YU F R. Wireless virtualization for next generation mobile cellular networks[J]. IEEE Wireless Communications, 2015, 22(1): 61–69. doi: 10.1109/MWC.2015.7054720
|
|
PARSAEEFARD S, DAWADI R, DERAKHSHANI M, et al. Joint user-association and resource-allocation in virtualized wireless networks[J]. IEEE Access, 2016, 4: 2738–2750. doi: 10.1109/ACCESS.2016.2560218
|
|
DAWADI R, PARSAEEFARD S, DERAKHSHANI M, et al. Energy-efficient resource allocation in multi-cell virtualized wireless networks[C]. 2015 IEEE International Conference on Ubiquitous Wireless Broadband, Montreal, 2015. doi: 10.1109/ICUWB.2015.7324446.
|
|
王汝言, 李宏娟, 吴大鹏. 基于Stackelberg博弈的虚拟化无线传感网络资源分配策略[J]. 电子与信息学报, 2019, 41(2): 377–384. doi: 10.11999/JEIT180277
WANG Ruyan, LI Hongjuan, and WU Dapeng. Stackelberg game-based resource allocation strategy in virtualized wireless sensor network[J]. Journal of Electronics &Information Technology, 2019, 41(2): 377–384. doi: 10.11999/JEIT180277
|
|
KOKKU R, MAHINDRA R, ZHANG Honghai, et al. NVS: A substrate for virtualizing wireless resources in cellular networks[J]. IEEE/ACM Transactions on Networking, 2012, 20(5): 1333–1346. doi: 10.1109/TNET.2011.2179063
|
|
AL-KHATIB O, HARDJAWANA W, and VUCETIC B. Spectrum sharing in multi-tenant 5G Cellular networks: Modeling and planning[J]. IEEE Access, 2018, 7: 1602–1616. doi: 10.1109/ACCESS.2018.2886447
|
|
NGUYEN D H N, ZHANG Yanru, and HAN Zhu. Contract-based spectrum allocation for wireless virtualized networks[J]. IEEE Transactions on Wireless Communications, 2018, 17(11): 7222–7235. doi: 10.1109/TWC.2018.2865924
|
|
LIU Bin and TIAN Hui. A bankruptcy game-based resource allocation approach among virtual mobile operators[J]. IEEE Communications Letters, 2013, 17(7): 1420–1423. doi: 10.1109/LCOMM.2013.052013.130959
|
|
梁靓, 武彦飞, 冯钢. 基于在线拍卖的网络切片资源分配算法[J]. 电子与信息学报, 2019, 41(5): 1187–1193. doi: 10.11999/JEIT180636
LIANG Liang, WU Yanfei, and FENG Gang. Resource allocation algorithm of network slicing based on online auction[J]. Journal of Electronics &Information Technology, 2019, 41(5): 1187–1193. doi: 10.11999/JEIT180636
|
|
ZHU Kun and HOSSAIN E. Virtualization of 5G cellular networks as a hierarchical combinatorial auction[J]. IEEE Transactions on Mobile Computing, 2016, 15(10): 2640–2654. doi: 10.1109/TMC.2015.2506578
|
|
KAZMI S M A, TRAN N H, HO T M, et al. Hierarchical matching game for service selection and resource purchasing in wireless network virtualization[J]. IEEE Communications Letters, 2018, 22(1): 121–124. doi: 10.1109/LCOMM.2017.2701803
|
|
YIN Rui, ZHONG Caijun, YU Guanding, et al. Joint spectrum and power allocation for D2D communications underlaying cellular networks[J]. IEEE Transactions on Vehicular Technology, 2016, 65(4): 2185–2195. doi: 10.1109/TVT.2015.2424395
|
|
FENG Zhiyong, JI Lei, ZHANG Qixun, et al. A supply-demand approach for traffic-Oriented wireless resource virtualization with testbed analysis[J]. IEEE Transactions on Wireless Communications, 2017, 16(9): 6077–6090. doi: 10.1109/TWC.2017.2718527
|
|
ZHANG Xi and ZHU Qixuan. Scalable virtualization and offloading-based software-defined architecture for heterogeneous statistical QoS provisioning over 5G multimedia mobile wireless networks[J]. IEEE Journal on Selected Areas in Communications, 2018, 36(12): 2787–2804. doi: 10.1109/JSAC.2018.2871327
|
Figures(6)
DownLoad:
