Resource allocation in NOMA heterogeneous network based on MEC

Haijun ZHANG; Zizheng ZHANG; Keping LONG

doi:10.11959/j.issn.1000-436x.2020069

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Resource allocation in NOMA heterogeneous network based on MEC

Topics: Key Technologies of Edge Computing | 更新时间：2024-06-05

- Resource allocation in NOMA heterogeneous network based on MEC
- Journal on Communications Vol. 41, Issue 4, Pages: 27-33(2020)
- 作者机构：
  
  北京科技大学计算机与通信工程学院，北京 100083
- 作者简介：
- 基金信息：
  
  Outstanding Youth Science Foundation(61822104);The National Natural Science Foundation of China(61771044)
- DOI：10.11959/j.issn.1000-436x.2020069
  CLC： TN92
- Online First：2020-04，
  
  Published：25 April 2020
- 稿件说明：
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Haijun ZHANG, Zizheng ZHANG, Keping LONG. Resource allocation in NOMA heterogeneous network based on MEC[J]. Journal on Communications, 2020, 41(4): 27-33.
DOI：

Haijun ZHANG, Zizheng ZHANG, Keping LONG. Resource allocation in NOMA heterogeneous network based on MEC[J]. Journal on Communications, 2020, 41(4): 27-33. DOI： 10.11959/j.issn.1000-436x.2020069.

摘要

以最大化缓存收益为目标，针对部署缓存的 NOMA 异构网络下的基站用户匹配及功率分配问题，结合消息传递及 DC 规划提出了 NOMA 联合优化算法。首先将约束条件合并到目标函数中，通过计算新的优化问题中函数节点与变量节点间消息传递的边缘得到用户协同结果；然后将原优化问题变形为2个凸函数差的形式，通过DC规划对功率资源进行分配；最后迭代计算得到最终的用户协同及功率分配结果。仿真结果证明所提算法有效地提升了网络性能。

Abstract

Aiming at maximizing the cache revenue

a joint user association and power allocation algorithm was proposed for the matching of base stations with users and power allocation in a NOMA heterogeneous network with caches

a NOMA joint optimization algorithm which was achieved by combing with message passing and DC programming was proposed.First

the constraints were incorporated into the objective function

and the user association result was obtained by calculating the marginal of the message passing between the function node and the variable node in the new optimization problem.Then

the original optimization problem was transformed into the form of the difference between two convex functions

and allocate power resources through DC programming.Finally

the final user association and power allocation results are obtained through iterative calculations.Simulation results prove that the proposed algorithm effectively improves network performance.

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references

THOMPSON J , GE X L , WU H C . 5G wireless communication systems:prospects and challenges [J ] . IEEE Communications Magazine , 2014 , 52 ( 2 ): 62 - 64 .

张平 , 牛凯 , 田辉 , 等 . 6G 移动通信技术展望 [J ] . 通信学报 , 2019 , 40 ( 1 ): 145 - 152 .

ZHANG P , NIU K , TIAN H , et al . Technology prospect of 6G mobile communications [J ] . Journal on Communications , 2019 , 40 ( 1 ): 145 - 152 .

YANG K , MARTIN S , QUADRI D . Energy-efficient downlink resource allocation in heterogeneous OFDMA networks [J ] . IEEE Transactions on Vehicular Technology , 2017 , 66 ( 6 ): 5086 - 5098 .

DING Z G , XU J , DOBRE O A , et al . Joint power and time allocation for NOMA-MEC offloading [J ] . IEEE Transactions on Vehicular Technology , 2019 , 68 ( 6 ): 6207 - 6211 .

杨芫 , 徐明伟 , 陈浩 . 5G/后5G 部署对互联网主干影响的分析与建模 [J ] . 通信学报 , 2019 , 40 ( 8 ): 36 - 44 .

YANG Y , XU M W , CHEN H , et al . Analysis and modeling of Internet backbone traffic with 5G/B5G [J ] . Journal on Communications , 2019 , 40 ( 8 ): 36 - 44 .

ZHANG H J , QIU Y , CHU X L , et al . Fog radio access networks:mobility management,interference mitigation,and resource optimization [J ] . IEEE Wireless Communications , 2017 , 24 ( 6 ): 120 - 127 .

ZHANG H J , QIU Y , LONG K P , et al . Resource allocation in NOMA-based fog radio access networks [J ] . IEEE Wireless Communications , 2018 , 25 ( 3 ): 110 - 115 .

SHI W S . Edge computing:vision and challenges [J ] . IEEE Internet of Things Journal , 2016 , 3 ( 5 ): 637 - 646 .

WANG X F , CHEN M , TALEB T , et al . Cache in the air:exploiting content caching and delivery techniques for 5G systems [J ] . IEEE Communications Magazine , 2014 , 52 ( 2 ): 131 - 139 .

LIU M , SONG T C , HU J . Deep learning-inspired message passing algorithm for efficient resource allocation in cognitive radio networks [J ] . IEEE Transactions on Vehicular Technology , 2019 , 68 ( 1 ): 641 - 653 .

FANG F , ZHANG H J , CHENG J L . Energy-efficient resource allocation for downlink non-orthogonal multiple access (NOMA) network [J ] . IEEE Transactions on Communications , 2016 , 64 ( 9 ):1.

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