Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networks

Haijiang GE; Ning JIA; Kaikai CHI; Yunzhi CHEN

doi:10.11959/j.issn.1000-0801.2023033

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Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networks

Research and Development | 更新时间：2024-06-05

- Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networks
- Telecommunications Science Vol. 39, Issue 2, Pages: 103-117(2023)
- 作者机构：
  
  1. 杭州职业技术学院信息工程学院，浙江杭州 310018
  2. 浙江工业大学计算机科学与技术学院，浙江杭州 310023
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2023033
  CLC： TN929.5
- Published Online：2023-02，
  
  Published：20 February 2023
- 稿件说明：
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Haijiang GE, Ning JIA, Kaikai CHI, et al. Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networks[J]. Telecommunications science, 2023, 39(2): 103-117.
DOI：

Haijiang GE, Ning JIA, Kaikai CHI, et al. Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networks[J]. Telecommunications science, 2023, 39(2): 103-117. DOI： 10.11959/j.issn.1000-0801.2023033.

摘要

针对一对主用户和M对次用户构成的认知无线电网络（cognitive radio network，CRN），研究了非线性能量收集的认知无线电网络的次用户吞吐量最大化问题。具体来说，对于考虑次用户发射器（secondary transmitter，ST）电路功率的情况，首先将主用户吞吐量需求下的次用户吞吐量最大化（secondary throughput maximization，STM）问题建模为一个非线性优化问题，然后将它转化成凸优化问题，最后提出一种联合使用黄金分割和二分法的低复杂度算法，获得主用户发射器（primary transmitter，PT）能量传输和次用户信息传输的最优时间分配以及主用户发射器的最优发射功率。对于忽略次用户发射器电路功率的情况，首先证明次用户吞吐量最大化问题的凸特性，然后设计了一个更高效的算法来求解。仿真结果表明，相比等时间分配方案和链路增益优先级方案，提出的设计算法能显著提升次用户吞吐量。

Abstract

Aiming at a cognitive radio network (CRN) consisting of a pair of primary users and M pairs of secondary users

the secondary throughput maximization for CRN based on the non-linear energy harvesting model was studied.Specifically

in the case of considering secondary transmitter (ST) circuit power

the secondary throughput maximization (STM) problem with primary users’ throughput demands was first modeled as a non-linear optimization problem and then transformed into a convex optimization problem.Finally

a low-complexity algorithm combining the golden section and dichotomy was proposed.By applying this low-complexity algorithm

the optimal time allocation of the primary transmitter (PT)’s energy transmission and secondary users’ information transmission

and the optimal transmission power of PT were obtained.In addition

for the case of neglecting the ST circuit power

the convex property of the STM problem was first proved

and then a more efficient algorithm was designed to solve it.The simulation results show that compared with the equal time allocation method and the link gain priority method

the proposed design algorithm significantly improves the throughput of secondary users.

关键词

Keywords

references

FCC . Spectrum policy task force,report of the spectrum efficiency working group [R ] . 2002 .

LIU X Y , ZHENG K C , LIU X Y , et al . Hierarchical cooperation improves delay in cognitive radio networks with heterogeneous mobile secondary nodes [J ] . IEEE Transactions on Mobile Computing , 2019 , 18 ( 12 ): 2871 - 2884 .

GAUTAM N , MOHAPATRA A . Efficiently operating wireless nodes powered by renewable energy sources [J ] . IEEE Journal on Selected Areas in Communications , 2015 , 33 ( 8 ): 1706 - 1716 .

TAN Y K , PANDA S K . Self-autonomous wireless sensor nodes with wind energy harvesting for remote sensing of wind-driven wildfire spread [J ] . IEEE Transactions on Instrumentation and Measurement , 2011 , 60 ( 4 ): 1367 - 1377 .

CHEN X H , LIU Y , CAI L X , et al . Resource allocation for wireless cooperative IoT network with energy harvesting [J ] . IEEE Transactions on Wireless Communications , 2020 , 19 ( 7 ): 4879 - 4893 .

KANSAL A , SRIVASTAVA M B . An environmental energy harvesting framework for sensor networks [C ] // Proceedings of the 2003 International Symposium on Low Power Electronics and Design . New York:ACM Press , 2003 : 481 - 486 .

HU H , ZHANG H , LIANG Y C . On the spectrum- and energy-efficiency tradeoff in cognitive radio networks [J ] . IEEE Transactions on Communications , 2016 , 64 ( 2 ): 490 - 501 .

ZHANG W S , WANG C X , CHEN D , et al . Energy-spectral efficiency tradeoff in cognitive radio networks [J ] . IEEE Transactions on Vehicular Technology , 2016 , 65 ( 4 ): 2208 - 2218 .

XU X M , YANG W W , CAI Y M , et al . On the secure spectral-energy efficiency tradeoff in random cognitive radio networks [J ] . IEEE Journal on Selected Areas in Communications , 2016 , 34 ( 10 ): 2706 - 2722 .

WANG Y C , LIU K J R . Statistical delay QoS protection for primary users in cooperative cognitive radio networks [J ] . IEEE Communications Letters , 2015 , 19 ( 5 ): 835 - 838 .

ZHENG K C , LIU X Y , ZHU Y H , et al . Impact of battery charging on spectrum sensing of CRN with energy harvesting [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 7 ): 7545 - 7557 .

PRATIBHA , LI K H , TEH K C . Optimal spectrum access and energy supply for cognitive radio systems with opportunistic RF energy harvesting [J ] . IEEE Transactions on Vehicular Technology , 2017 , 66 ( 8 ): 7114 - 7122 .

LI H Q , ZHAO X H . Throughput maximization with energy harvesting in UAV-assisted cognitive mobile relay networks [J ] . IEEE Transactions on Cognitive Communications and Networking , 2021 , 7 ( 1 ): 197 - 209 .

XU C , ZHENG M , LIANG W , et al . End-to-end throughput maximization for underlay multi-hop cognitive radio networks with RF energy harvesting [J ] . IEEE Transactions on Wireless Communications , 2017 , 16 ( 6 ): 3561 - 3572 .

WANG Y Y , ZHAO X H , LIANG H . Throughput maximization-based optimal power allocation for energy-harvesting cognitive radio networks with multiusers [J ] . EURASIP Journal on Wireless Communications and Networking , 2018 , 2018 ( 1 ): 1 - 10 .

KALAMKAR S S , JEYARAJ J P , BANERJEE A , et al . Resource allocation and fairness in wireless powered cooperative cognitive radio networks [J ] . IEEE Transactions on Communications , 2016 , 64 ( 8 ): 3246 - 3261 .

LIU Z X , ZHAO M Y , YUAN Y Z , et al . Subchannel and resource allocation in cognitive radio sensor network with wireless energy harvesting [J ] . Computer Networks , 2020 ( 167 ): 107028 .

ZHENG K C , LIU X Y , ZHU Y H , et al . Total throughput maximization of cooperative cognitive radio networks with energy harvesting [J ] . IEEE Transactions on Wireless Communications , 2020 , 19 ( 1 ): 533 - 546 .

LIU X Y , ZHENG K C , CHI K K , et al . Cooperative spectrum sensing optimization in energy-harvesting cognitive radio networks [J ] . IEEE Transactions on Wireless Communications , 2020 , 19 ( 11 ): 7663 - 7676 .

XU D , ZHU H B . Sum-rate maximization of wireless powered primary users for cooperative CRNs:NOMA or TDMA at cognitive users? [J ] . IEEE Transactions on Communications , 2021 , 69 ( 7 ): 4862 - 4876 .

JAFARI R , MAHDAVI M , FAZEL M S . Sum-throughput maximization of secondary users in an in-band full-duplex cognitive wireless powered communication network [J ] . IEEE Systems Journal , 2020 , 14 ( 2 ): 2109 - 2120 .

NGO H Q , LARSSON E G , MARZETTA T L . Energy and spectral efficiency of very large multiuser MIMO systems [J ] . IEEE Transactions on Communications , 2013 , 61 ( 4 ): 1436 - 1449 .

YANG W W , ZHAO X H . Resource allocation in two-way OFDM-based cognitive radio networks with QoE and power consumption guarantees [J ] . EURASIP Journal on Wireless Communications and Networking , 2017 , 2017 ( 1 ): 1 - 14 .

BOSHKOVSKA E , NG D W K , ZLATANOV N , et al . Practical non-linear energy harvesting model and resource allocation for SWIPT systems [J ] . IEEE Communications Letters , 2015 , 19 ( 12 ): 2082 - 2085 .

CHEN Y F , SABNIS K T , ABD-ALHAMEED R A , . New formula for conversion efficiency of RF EH and its wireless applications [J ] . IEEE Transactions on Vehicular Technology , 2016 , 65 ( 11 ): 9410 - 9414 .

WANG Y J , WANG Y H , ZHOU F H , et al . Resource allocation in wireless powered cognitive radio networks based on a practical non-linear energy harvesting model [J ] . IEEE Access , 2017 ( 5 ): 17618 - 17626 .

WANG Y H , WU Y H , ZHOU F H , et al . Multi-objective resource allocation in a NOMA cognitive radio network with a practical non-linear energy harvesting model [J ] . IEEE Access , 2017 ( 6 ): 12973 - 12982 .

PRATHIMA A , GURJAR D S , NGUYEN H H , et al . Performance analysis and optimization of bidirectional overlay cognitive radio networks with hybrid-SWIPT [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 11 ): 13467 - 13481 .

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

WANG F , ZHANG X . Secure resource allocation for polarization-based non-linear energy harvesting over 5G cooperative CRNs [J ] . IEEE Wireless Communications Letters , 2020 ( 99 ): 1 .

CHI K K , CHEN Z B , ZHENG K C , et al . Energy provision minimization in wireless powered communication networks with network throughput demand:TDMA or NOMA? [J ] . IEEE Transactions on Communications , 2019 , 67 ( 9 ): 6401 - 6414 .

WU Q Q , CHEN W , LI J . Wireless powered communications with initial energy:QoS guaranteed energy-efficient resource allocation [J ] . IEEE Communications Letters , 2015 , 19 ( 12 ): 2278 - 2281 .

BOYD S P , VANDENBERGHE L . Convex optimization [M ] . Cambridge : Cambridge University Press , 2004 .

MOKHTARZADEH H , TAHERPOUR A , TAHERPOUR A , et al . Throughput maximization in energy limited full-duplex cognitive radio networks [J ] . IEEE Transactions on Communications , 2019 , 67 ( 8 ): 5287 - 5296 .

HE S B , CHEN J M , JIANG F C , et al . Energy provisioning in wireless rechargeable sensor networks [J ] . IEEE Transactions on Mobile Computing , 2013 , 12 ( 10 ): 1931 - 1942 .

XIAO H , JIANG H , SHI F R , et al . Energy-efficient resource allocation in radio-frequency-powered cognitive radio network for connected vehicles [J ] . IEEE Transactions on Intelligent Transportation Systems , 2021 , 22 ( 8 ): 5426 - 5436 .

LI X Q , PAN C H , ZHANG C Y , et al . Data rate maximization in UAV-assisted C-RAN [J ] . IEEE Wireless Communications Letters , 2020 , 9 ( 12 ): 2163 - 2167 .

XIAO H , JIANG H , DENG L P , et al . Outage energy efficiency maximization for UAV-assisted energy harvesting cognitive radio networks [J ] . IEEE Sensors Journal , 2022 , 22 ( 7 ): 7094 - 7105 .

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