Robust time resource allocation and multi-user selection algorithm for data and energy integrated communication network

Jiayu YANG; Jie HU; Supeng LENG; Kun YANG

doi:10.11959/j.issn.2096-3750.2019.00117

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Robust time resource allocation and multi-user selection algorithm for data and energy integrated communication network

Theory and Technology | 更新时间：2024-06-05

- Robust time resource allocation and multi-user selection algorithm for data and energy integrated communication network
- Chinese Journal on Internet of Things Vol. 3, Issue 3, Pages: 34-40(2019)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2019.00117
  CLC： TN929
- Published：30 September 2019，
  
  Published Online：2019-09，
- 稿件说明：
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JIAYU YANG, JIE HU, SUPENG LENG, et al. Robust time resource allocation and multi-user selection algorithm for data and energy integrated communication network. [J]. Chinese journal on internet of things, 2019, 3(3): 34-40.
DOI：

JIAYU YANG, JIE HU, SUPENG LENG, et al. Robust time resource allocation and multi-user selection algorithm for data and energy integrated communication network. [J]. Chinese journal on internet of things, 2019, 3(3): 34-40. DOI： 10.11959/j.issn.2096-3750.2019.00117.

摘要

在无线能量和数据传输资源分配的现有研究中，并未考虑多用户场景下电池容量对吞吐量性能的影响。提出了一种具有顽健性的资源分配算法进行吞吐量优化，解决实际网络场景中由于电池容量差异较大、单一模型无法合理进行资源分配的问题。此外，还发现了多用户选择和时隙分配之间的联系，提出了一种在功率约束下的多用户选择与时隙分配联合优化算法。仿真结果表明，所提出的算法吞吐量性能更好，更适用于无线数能网络。

Abstract

In the existing research on resource allocation in wireless energy and data transmission

the impact of battery capacity on throughput under multi-user scenarios is not considered.A robust resource allocation algorithm was proposed to optimize throughput and solve the problem that a single model could not reasonably allocate resources in real world network scenarios due to large differences in battery capacity.In addition

a connection between multi-user selection and slot allocation was found

and a joint optimization algorithm of multi-user selection and slot allocation under the constraint of power was proposed.The simulation results show that the proposed algorithm has better throughput performance and is more suitable for wireless data and energy transmission network.

关键词

无线数能网络物联网资源分配多用户选择

Keywords

data and energy integrated communication network (DEIN)Internet of thingsresource allocationmultiuser selection

references

朱剑驰, 杨蓓, 陈鹏 ,等. 物联网无线接入技术研究[J]. 物联网学报, 2018,2(2): 73-84.

ZHU J C, YANG B, CHEN P ,et al. Research on wireless access technology of Internet of things[J]. Chinese Journal on Internet of Things, 2018,2(2): 73-84.

YANG K, YU Q, LENG S ,et al. Data and energy integrated communication networks for wireless big data[J]. IEEE Access, 2016,4: 713-723.

KIM B, KANG J M, KIM H M ,et al. Max-min energy-efficiency optimization in wireless powered communication network with harvest-then-transmit protocol[C]// 2016 6th International Conference on IT Convergence and Security (ICITCS). 2016: 1-5.

KIM B, KANG J M, KIM H M ,et al. Energy efficiency optimization in multi-antenna wireless powered communication network[C]// 2016 International Conference on Information and Communication Technology Convergence (ICTC). 2016: 756-758.

CHANG Z, WANG Z, GUO X ,et al. Energy efficient resource allocation for wireless power transfer enabled massive MIMO system[C]// 2016 IEEE Global Communications Conference. IEEE, 2016: 1-7.

LI B, ZHANG T, ZENG Z . An energy efficient joint energy beamforming and time allocation with QoS guarantee via wireless energy transfer[C]// 2016 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2016: 1-6.

KHANDAKERM R A, WONG K K . Max-min energy based robust secure beamforming for SWIPT[C]// 2015 IEEE International Conference on Communications (ICC). IEEE, 2015: 166-171.

ALMRADI A, . Information and energy beamforming in MIMO wireless powered systems[C]// 2016 IEEE Global Communications Conference. IEEE, 2016: 1-7.

LIANG H, ZHONG C, SURAWEERA H A ,et al. Beamformer and time split design for wireless powered multi-antenna cooperative systems[C]// 2017 International Conference on Recent Advances in Signal Processing,Telecommunications ＆ Computing (SigTelCom). 2017: 1-6.

JU H, ZHANG R . Throughput maximization in wireless powered communication networks[J]. IEEE Transactions on Wireless Communications, 2014,13(1): 418-428.

LV K, HU J, YU Q ,et al. Throughput maximization and fairness assurance in data and energy integrated communication networks[J]. IEEE Internet of Things Journal, 2017,99:1.

LIANG K, ZHAO L, YANG K ,et al. Online power and time allocation in MIMO uplink transmissions powered by RF wireless energy transfer[J]. IEEE Transactions on Vehicular Technology, 2017,66(8): 6819-6830.

WANG R, BROWN D R . Throughput maximization in wireless powered communication networks with energy saving[C]// 2014 48th Asilomar Conference on Signals,Systems and Computers,Pacific Grove. 2014: 516-520.

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