Resource allocation in cognitive radio network with energy harvesting

Yan LONG; Xiaoqian ZHANG; Xuming FANG; Rong HE

doi:10.11959/j.issn.1000-436x.2018162

您当前的位置：

首页 >

文章列表页 >

Resource allocation in cognitive radio network with energy harvesting

5G and Cognitive and Cooperative Network | 更新时间：2024-06-05

- Resource allocation in cognitive radio network with energy harvesting
- Journal on Communications Vol. 39, Issue 9, Pages: 67-75(2018)
- 作者机构：
  
  1. 西南交通大学信息科学与技术学院，四川成都 611756
  2. 新誉集团北京防务技术研究院，北京 100071
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61601380);The National Natural Science Foundation of China(61471303);The Central University Basic Business Expenses Special Funding for Scientific Research Project(2682016CX044);The National Natural Science-Guangdong Joint Foundation(U1501255)
- DOI：10.11959/j.issn.1000-436x.2018162
  CLC： TN929.5
- Online First：2018-09，
  
  Published：25 September 2018
- 稿件说明：
移动端阅览
Yan LONG, Xiaoqian ZHANG, Xuming FANG, et al. Resource allocation in cognitive radio network with energy harvesting[J]. Journal on Communications, 2018, 39(9): 67-75.
DOI：

Yan LONG, Xiaoqian ZHANG, Xuming FANG, et al. Resource allocation in cognitive radio network with energy harvesting[J]. Journal on Communications, 2018, 39(9): 67-75. DOI： 10.11959/j.issn.1000-436x.2018162.

摘要

考虑到次用户的能量采集能力具有差异，且不同的次用户对信道的感知能力不同，在各信道上传输的信道质量也不同，基于单跳网络场景，以次级网络吞吐量为优化目标，结合能量采集技术，在能量因果关系约束下，提出一种次用户传输信道选择、传输功率控制、传输时间分配的多维联合资源优化模型。其中，针对原始的非凸优化问题，通过将其转化为一系列的凸优化子问题，得出资源分配算法（OPTA），并通过与传统资源分配算法（HDEA、OTA及RA）对比，验证了所提算法的正确性及有效性。仿真结果显示，在同一最大功率门限条件下， OPTA比传统的HDEA、OTA及RA的吞吐量分别提高了约6%、37%及50%；在同一信道增益差异度的条件下， OPTA比HDEA、OTA及RA的吞吐量分别提高了约30%、60%及94%；在同样次用户能量采集效率差异度下， OPTA比HDEA、OTA及RA的吞吐量分别提高了约27%、50%及92%。

Abstract

Considering the diversity of energy harvesting capability and spectrum sensing accuracy of SU

as well as dynamic channel quality

under the constraint of energy causality

the secondary network throughput maximization problem in single-hop cognitive radio networks with energy harvesting was studied.The transmission channel selection

transmission power control and transmission time allocation of SU were jointly optimized.Since the optimization problem was non-convex

by converting it into a series of convex optimization sub-problems

the optimize transmission power and transmission time algorithm (OPTA) was obtained.Compared with the existing resource allocation algorithms

such as

hybrid differential evolution algorithm (HDEA)

optimized transmission algorithm (OTA)

and random assignment channel algorithm (RA)

the simulation results verify the correctness and effectiveness of the proposed algorithm.For example

under the same maximum transmission power constraint

the throughput of the proposed OPTA scheme could increase by around 6%

37% and 50% than that of HDEA

OTA and RA schemes respectively.Under the same channel gain diversity

the throughput of the proposed OPTA scheme could increase by around 30%

60% and 94% than that of HDEA

OTA and RA schemes respectively.Under the same energy harvesting efficiency diversity

the throughput of the proposed OPTA scheme could increase by around 27%

50% and 92% than that of HDEA

OTA and RA schemes respectively.

关键词

Keywords

references

LONG Y , LI H , YUE H , et al . SUM:spectrum utilization maximization in energy-constrained cooperative cognitive radio networks [J ] . IEEE Journal on Selected Areas in Communications , 2014 , 32 ( 11 ): 2105 - 2116 .

LONG Y , LI H , PAN M , et al . A fair QoS-aware resource-allocation scheme for multiradio multichannel networks [J ] . IEEE Transactions on Vehicular Technology , 2013 , 62 ( 7 ): 3349 - 3358 .

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 .

YIN S , ZHANG E , YIN L , et al . Optimal saving-sensing-transmitting structure in self-powered cognitive radio systems with wireless energy harvesting [C ] // 2013 IEEE International Conference on Communications (ICC) . 2013 : 2807 - 2811 .

WU C , SHI Q , HE C , et al . Energy utilization efficient frame structure for energy harvesting cognitive radio networks [J ] . IEEE Wireless Communications Letters , 2016 , 5 ( 5 ): 488 - 491 .

QIN Z , LIU Y , GAO Y , et al . Wireless powered cognitive radio networks with compressive sensing and matrix completion [J ] . IEEE Transactions on Communications , 2017 , 65 ( 4 ): 1464 - 1476 .

ZHOU F , LI Z , BEAULIEUZ N C , et al . Resource allocation in wideband cognitive radio with swipt:Max-min fairness guarantees [C ] // 2016 IEEE Global Communications Conference (GLOBECOM) . 2016 : 1 - 6 .

CELIK A , ALSHAROA A , KAMAL A E . Hybrid energy harvesting-based cooperative spectrum sensing and access in heterogeneous cognitive radio networks [J ] . IEEE Transactions on Cognitive Communications and Networking , 2017 , 3 ( 1 ): 37 - 48 .

RAMNARESH Y , KESHAV S , ANKIT G , et al . Optimal energy-efficient resource allocation in energy harvesting cognitive radio networks with spectrum sensing [C ] // Vehicular Technology Conference (VTC-Fall) . 2016 : 1 - 5

JEYA J , KALAMKAR S S , BANERJEE A . Energy harvesting cognitive radio with channel-aware sensing strategy [J ] . IEEE Communications Letters , 2014 , 18 ( 7 ): 1171 - 1174 .

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

KANG X , HO C K , SUN S . Full-duplex wireless-powered communication network with energy causality [J ] . IEEE Transactions on Wireless Communications , 2015 , 14 ( 10 ): 5539 - 5551 .

LIANG Y C , ZENG Y , PEH E C Y , et al . Sensing-throughput tradeoff for cognitive radio networks [J ] . IEEE Transactions on Wireless Communications , 2008 , 7 ( 4 ): 1326 - 1337 .

DACOROGNA B , MARÉCHAL P . The role of perspective functions in convexity,polyconvexity,rank-one convexity and separate convexity [J ] . Journal of Convex Analysis , 2008 , 15 ( 2 ): 271 - 284 .

WU C , SHI Q , HE C , et al . Energy utilization efficient frame structure for energy harvesting cognitive radio networks [J ] . IEEE Wireless Communications Letters , 2016 , 5 ( 5 ): 488 - 491 .

DAI Z , WANG Z , WONG V W S . An overlapping coalitional game for cooperative spectrum sensing and access in cognitive radio networks [J ] . IEEE Transactions on Vehicular Technology , 2016 , 65 ( 10 ): 8400 - 8413 .

Views

1610

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Joint power and spectrum optimization algorithm for ICV in diverse service scenarios

Multi-indicator intention-driven adaptive optimization strategy for UAV computation offloading and trajectory planning

Resource allocation strategy for satellite Internet integrating communication and remote sensing based on resource-time-varying graphs

Joint optimization of semantic communication reliability in integrated sensing, communication and computing networks based on regional perception

Resource allocation method for energy efficiency maximization in SWIPT IoT systems assisted by self-sustainable RIS

Related Author

Zhang Haibo

Hu Yuting

Hu Yanli

Xu Yongjun

Li Yongfu

Lin Peng

Huang Xinliang

Ning Zhaolong

Related Institution

School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications

Gele Mountain Tourism Scenic Area Affairs Center

School of Automation, Chongqing University of Posts and Telecommunications

Key Laboratory of Intelligent Support Technology for Complex Environments, Ministry of Education, Nanjing University of Information Science and Technology

School of Electronic and Information Engineering, Nanjing University of Information Science and Technology

AI问答

⁰