Joint User Association and Power Allocation Algorithm for Network Slicing Based on NOMA

Lun TANG; Runlin MA; Heng YANG; Qianbin CHEN

doi:10.11999/JEIT180770

Volume 41 Issue 9

Sep. 2019

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Lun TANG, Runlin MA, Heng YANG, Qianbin CHEN. Joint User Association and Power Allocation Algorithm for Network Slicing Based on NOMA[J]. Journal of Electronics & Information Technology, 2019, 41(9): 2039-2046. doi: 10.11999/JEIT180770

Citation:

Lun TANG, Runlin MA, Heng YANG, Qianbin CHEN. Joint User Association and Power Allocation Algorithm for Network Slicing Based on NOMA[J]. Journal of Electronics & Information Technology, 2019, 41(9): 2039-2046. doi: 10.11999/JEIT180770

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Joint User Association and Power Allocation Algorithm for Network Slicing Based on NOMA

doi: 10.11999/JEIT180770

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Key Laboratory of Mobile Communication Technology, Chongqing University of Post and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (61571073), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJZD-M201800601)

Received Date: 2018-08-23
Rev Recd Date: 2019-03-20

Available Online: 2019-05-30

Publish Date: 2019-09-10

Abstract

Abstract

To satisfy the diversity of requirements for different network slices and realize dynamic allocation of wireless virtual resource, an algorithm for network slice joint user association and power allocation is proposed in Non-Orthogonal Multiple Access(NOMA) C-RAN. Firstly, by considering imperfect Channel State Information(CSI), a joint user association and power allocation algorithm is designed to maximize the average total throughput in C-RAN with the constraints of slice and user minimum required rate, outage probability and fronthaul capacity limits. Secondly, a joint user association and power allocation algorithm is designed according to the current slot by transforming the probabilistic mixed optimalization problem into a non-probabilistic optimalization problem and using Lyapunov optimization. Finally, for user association problem, a greedy algorithm is proposed to find a feasible suboptimal solution; The power allocation problem is transformed into a convex optimization problem by using successive convex approximation; Then a dual decomposition approach is exploited to obtain a power allocation strategy. Simulation results demonstrate that the proposed algorithm can effectively improve the average total throughput of system while guaranteeing the network slice and user requirement.
- Network slicing,
- Resource allocation,
- Imperfect Channel State Information (CSI),
- Non-Orthogonal Multiple Access (NOMA)

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References

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