Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (11): 356-362.doi: 10.11896/jsjkx.200900080

• Computer Network • Previous Articles     Next Articles

Non-orthogonal Multiple Access Enabled Scalable Video Multicast in HetNets

JI Xiao-xiang1,2, SHEN Hang1,2, BAI Guang-wei1   

  1. 1 College of Computer Science and Technology,Nanjing Tech University,Nanjing 211816,China
    2 State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210093,China
  • Received:2020-09-09 Revised:2021-01-20 Online:2021-11-15 Published:2021-11-10
  • About author:JI Xiao-xiang,born in 1995,postgra-duate.His main research interests include non-orthogonal multiple access technique and resource allocation for heterogeneous wireless networks.
    SHEN Hang,born in 1984,Ph.D.asso-ciate professor.His main research interests include network slicing,space-air-ground integrated networks.
  • Supported by:
    National Natural Science Foundation of China(61502230),Natural Science Foundation of Jiangsu Province(BK20150960),Jiangsu Province “Six Talent Peaks” High-level Talent Project (RJFW-020) and State Key Laboratory of New Technology of Computer Software(Nanjing University) Project (KFKT2017B21).

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Abstract: In this paper,a resource management framework is presented for non-orthogonal multiple access (NOMA)-enhanced scalable video coding (SVC) multicast in heterogeneous networks (HetNets).In this framework,radio spectrum slicing for different base stations,spectrum partition for multiple groups within each spectrum slice,and transmit power division within each multicast group are jointly considered,to maximize the overall video quality experienced by user equipment in multicast groups.For tractability,the joint resource management problem is formulated as an integer linear programming problem,with theconsi-deration of different video requests,varying device locations,and inter-cell interference.The formulated optimization problem is decoupled into an intra-group transmit power division problem and a multi-group spectrum partition and inter-slice spectrum partition problem.The former subproblem obtains the optimal transmitting power for each layer of superposition coding through multiple cycles.The latter subproblem is solved optimally by the knapsack algorithm.Simulation results show that the proposed scheme is superior to the existing scheme in spectral efficiency and average video quality of each user equipment.

Key words: Heterogeneous wireless networks, Multicast, Non-orthogonal multiple access (NOMA), Scalable video coding (SVC)

CLC Number: 

  • TP393
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