Robust resource allocation algorithm for heterogeneous wireless networkwith SWIPT

Yongjun XU; Yuan HU; Guoquan LI; Jinzhao LIN; Qianbin CHEN

doi:10.11959/j.issn.1000-436x.2019160

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Robust resource allocation algorithm for heterogeneous wireless networkwith SWIPT

Correspondences | 更新时间：2024-06-05

- Robust resource allocation algorithm for heterogeneous wireless networkwith SWIPT
- Journal on Communications Vol. 40, Issue 7, Pages: 186-196(2019)
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院，重庆 400065
  2. 重庆邮电大学生物医学工程研究中心，重庆 400065
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61601071);The National Natural Science Foundation of China(61671091);The Science and Technology Research Program of Chongqing Municipal Education Commission(KJQN201800606)
- DOI：10.11959/j.issn.1000-436x.2019160
  CLC： TP302
- Online First：2019-07，
  
  Published：25 July 2019
- 稿件说明：
移动端阅览
Yongjun XU, Yuan HU, Guoquan LI, et al. Robust resource allocation algorithm for heterogeneous wireless networkwith SWIPT[J]. Journal on Communications, 2019, 40(7): 186-196.
DOI：

Yongjun XU, Yuan HU, Guoquan LI, et al. Robust resource allocation algorithm for heterogeneous wireless networkwith SWIPT[J]. Journal on Communications, 2019, 40(7): 186-196. DOI： 10.11959/j.issn.1000-436x.2019160.

摘要

为了提高异构携能通信网络能效和顽健性，研究了能效最大的顽健联合发射功率和功率分流资源分配问题。基于最小最大概率机和Dinkelbach理论，将原NP-hard问题转换为凸优化形式，提出了分布式对偶资源分配算法，并分析了算法的计算复杂度和顽健灵敏度。仿真结果表明，所提算法在信道不确定性下能同时保障宏蜂窝用户和飞蜂窝用户的服务质量。

Abstract

To improve energy efficiency and robustness of heterogeneous wireless networks with wireless information and power transfer

the robust joint transmit power and power splitting resource allocation problem was studied.Based on mini-max probability machine and Dinkelbach method

the original NP-hard problem was transformed into a solvable convex optimization form

meanwhile a distributed dual resource allocation algorithm was proposed.Additionally

both computational complexity and robust sensitivity were analyzed.Simulation results show that the proposed algorithm can guarantee the quality of service requirements of macro cellular users and femtocell users under channel uncertainties.

关键词

Keywords

references

ZHOU X , ZHANG R , HO C K . Wireless information and power transfer:architecture design and rate-energy tradeoff [J ] . IEEE Transactions on Communications , 2013 , 61 ( 11 ): 4754 - 4767 .

TANG J , SHOJAEIFARD A , SO D K C , et al . Energy efficiency optimization for CoMP-SWIPT heterogeneous networks [J ] . IEEE Transactions on Communications , 2018 , 66 ( 12 ): 6368 - 6383 .

AKBAR S , DENG Y , NALLANATHAN A , et al . Simultaneous wireless information and power transfer in K-tier heterogeneous cellular networks [J ] . IEEE Transactions on Wireless Communications , 2016 , 15 ( 8 ): 5804 - 5818 .

XU Y J , HU Y , CHEN Q B , et al . Optimal power allocation for multiuser OFDM-based cognitive heterogeneous networks [J ] . China Communication , 2017 , 14 ( 9 ): 52 - 61 .

LAI W , CHANG T , LEE T . Power and admission control for spectral and energy efficiency maximization in heterogeneous OFDMA networks [J ] . IEEE Transactions on Wireless Communications , 2016 , 15 ( 5 ): 3531 - 3547 .

DAVASLIOGLU K , COSKUN C C , AYANOGLU E . Energy-efficient resource allocation for fractional frequency reuse in heterogeneous networks [J ] . IEEE Transactions on Wireless Communications , 2015 , 14 ( 10 ): 5484 - 5497 .

XU Y J , HU Y , LI G Q . Robust rate maximization for heterogeneous wireless networks under channel uncertainties [J ] . Sensors , 2018 , 18 ( 2 ): 1 - 18 .

WANG S W , SHI W , WANG C . Energy-efficient resource management in OFDM-based cognitive radio networks under channel uncertainty [J ] . IEEE Transactions on Communications , 2015 , 63 ( 9 ): 3092 - 3102 .

HAO Y , NI Q , LI H , et al . Robust multi-objective optimization for EE-SE tradeoff in D2D communications underlaying heterogeneous networks [J ] . IEEE Transactions on Communications , 2018 , 66 ( 10 ): 4936 - 4949 .

LOHANI S , HOSSAIN E , BHARGAVA V K . On downlink resource allocation for SWIPT in small cells in a two-tier HetNet [J ] . IEEE Transactions on Wireless Communications , 2016 , 15 ( 11 ): 7709 - 7724 .

MUNIR H , HASSAN S A , PERVAIZ H , et al . Energy efficient resource allocation in 5G hybrid heterogeneous networks:a game theoretic approach [C ] // IEEE Vehicular Technology Conference (VTC 2017) . IEEE , 2017 : 24 - 27 .

夏玮玮 , 丁兆明 , 沈连丰 . 异构网络中基于负载传递的联合接纳控制算法 [J ] . 通信学报 , 2018 , 39 ( 5 ): 34 - 47 .

XIA W W , DING Z M , SHEN L F . Joint admission control algorithm based on load transfer in heterogeneous networks [J ] . Journal on Communications , 2018 , 39 ( 5 ): 34 - 47 .

XU Y J , ZHAO X H . Optimal power allocation for multiuser underlay cognitive radio networks under QoS and interference temperature constraints [J ] . China Communications , 2013 , 10 ( 10 ): 91 - 100 .

YAN J , PU W , LIU H , et al . Robust chance constrained power allocation scheme for multiple target localization in co-located MIMO radar system [J ] . IEEE Transactions on Signal Processing , 2018 , 66 ( 15 ): 3946 - 3957 .

LEE H , KWAK J , LE L B . Robust power allocation in cognitive radio networks with uncertain knowledge of interference [J ] . IEEE Wireless Communications Letters , 2016 , 5 ( 5 ): 468 - 471 .

XU Y J , HU Y , CHEN Q B , et al . Robust resource allocation for multi-tier cognitive heterogeneous networks [C ] // IEEE International Conference on Communications (ICC 2017) . IEEE , 2017 : 21 - 25 .

LI S , NI Q , SUN Y J , et al . Energy-efficient resource allocation for industrial cyber-physical IoT systems in 5G Era [J ] . IEEE Transactions on Industrial Informatics , 2018 , 14 ( 6 ): 2618 - 2628 .

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

NADKAR T , THUMAR V , TEJ G P S , et al . Distributed power allocation for secondary users in a cognitive radio scenario [J ] . IEEE Transactions on Wireless Communications , 2012 , 11 ( 4 ): 1576 - 1586 .

LEE C , CHANG R , LIN C , et al . Sum-rate maximization for energy harvesting-aided D2D communications underlaid cellular networks [C ] // IEEE 28th Annual International Symposium on Personal,Indoor,and Mobile Radio Communications (PIMRC) . IEEE , 2017 : 1 - 6 .

FANG F , CHENG J , DING Z G . Joint energy efficient subchannel and power optimization for a downlink NOMA heterogeneous network [J ] . IEEE Transactions on Vehicular Technology , 2019 , 68 ( 2 ): 1351 - 1364 .

XU Y J , ZHAO X H , LIANG Y C . Robust power control and beamforming in cognitive radio networks:a survey [J ] . IEEE Communications Surveys and Tutorials , 2015 , 17 ( 4 ): 1834 - 1857 .

ZHOU X , LI Q . Energy efficiency for SWIPT in MIMO two-way amplify-and-forward relay networks [J ] . IEEE Transactions on Vehicular Technology , 2018 , 67 ( 6 ): 4910 - 4924 .

ZAPPONE Z , JORSWIECK E . Energy efficiency in wireless networks via fractional programming theory [J ] . Foundations and Trends Communications and Information Theory , 2015 , 11 ( 3 ): 185 - 396 .

XU Y J , LIU Y C , LI G Q , et al . Robust uplink power allocation for two-tier heterogeneous networks [C ] // 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP) . IEEE , 2017 : 11 - 13 .

ZHANG H J , LIU H , CHENG J L . Downlink energy efficiency of power allocation and wireless backhaul bandwidth allocation in heterogeneous small cell networks [J ] . IEEE Transactions on Communications , 2017 , 66 ( 4 ): 1705 - 1716 .

XU Y J , HU Y , LI G Q . Robust resource allocation for heterogeneous wireless network:a worst-case optimization [J ] . IET Communications , 2018 , 12 ( 9 ): 1064 - 1071 .

徐勇军 , 赵晓晖 . 认知无线电系统的顽健资源分配算法 [J ] . 通信学报 , 2014 , 35 ( 4 ): 124 - 129 .

XU Y J , ZHAO X H . Robust resource allocation algorithm for cognitive radio system [J ] . Journal on Communications , 2014 , 35 ( 4 ): 124 - 129 .

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