联合网络容量与认知用户满意度的资源分配优化方案

李静叶, 罗涛, 乐光新

电子学报 ›› 2012, Vol. 40 ›› Issue (7) : 1315-1322.

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电子学报 ›› 2012, Vol. 40 ›› Issue (7) : 1315-1322. DOI: 10.3969/j.issn.0372-2112.2012.07.005
学术论文

联合网络容量与认知用户满意度的资源分配优化方案

  • 李静叶1,2, 罗涛1, 乐光新1
作者信息 +

A Resource Allocation Scheme Jointly Considering Network Capacity and User Satisfaction in Cognitive Radio Networks

  • LI Jing-ye1,2, LUO Tao1, YUE Guang-xin1
Author information +
文章历史 +

摘要

机会频谱接入技术是提高频谱利用率的一种有效方法,论文综合考虑信道的时变性、子信道空闲的检测可信度、认知网络与主网络间的互干扰等因素,建立了一种最大化认知网络有效容量和认知用户满意度的多目标优化模型,提出了一种联合资源分配和用户调度的PAUS算法.仿真结果表明,在主用户分布密度较低的环境中,该模型较最大化网络有效容量模型具有更高的用户满意度;较最大化认知用户满意度模型可获得更高的网络有效容量.

Abstract

Opportunistic spectrum access is an effective method to improve the spectrum utilization.In this paper,a multi-objective optimization model is proposed to take the time-variance characteristic of wireless channel,confidence level of sub-channel detection and the mutual interference between the primary networks and the cognitive radio networks into consideration,in which the effective capacity and user satisfaction are jointly optimized.Then,we also present a resource allocation scheme for power allocation and user scheduling (PAUS).The simulation results show that in lower density environment for the primary user,the proposed optimization model can achieve better performance in user satisfaction than that of the model to maximize the system capacity,and it can obtain higher network capacity than that of the optimization model to maximize the user satisfaction.

关键词

容量 / 用户满意度 / 资源分配 / 用户调度 / 认知无线电

Key words

capacity / user satisfaction / resource allocation / user scheduling / cognitive radio

引用本文

导出引用
李静叶, 罗涛, 乐光新. 联合网络容量与认知用户满意度的资源分配优化方案[J]. 电子学报, 2012, 40(7): 1315-1322. https://doi.org/10.3969/j.issn.0372-2112.2012.07.005
LI Jing-ye, LUO Tao, YUE Guang-xin. A Resource Allocation Scheme Jointly Considering Network Capacity and User Satisfaction in Cognitive Radio Networks[J]. Acta Electronica Sinica, 2012, 40(7): 1315-1322. https://doi.org/10.3969/j.issn.0372-2112.2012.07.005
中图分类号: TN92   

参考文献

[1] Q Zhao,B Sadler.A survey of dynamic spectrum access:signal processing,networking,and regulatory policy[J].IEEE Signal Process Magazine,2007,24(3):79-89.

[2] T Weiss,J Hillenbrand,A Krohn,et al.Mutual interference in OFDM-based spectrum pooling systems.Proceedings of the 59th IEEE Vehicular Technology Conference.USA:IEEE Press,2004.1873-1877.

[3] Y H Zhang,C Leung.Resource allocation in an OFDM-Based cognitive radio system.IEEE Transactions on Wireless Communications,2009,50(7):1928-1931.

[4] G Bansal,MJHossain,VKBhargava.Adaptive power loading for OFDM-based cognitive radio systems.Proceedings of IEEE Conference on Communications.USA:IEEE Press,2007.5137-5142.

[5] 张然然,刘元安,林晓峰,等.认知无线电下行链路中的OFDMA资源分配算法[J].电子学报,2010,38(3):632-637. R R Zhang,Y A Liu,X F Xiao,et al.OFDMA-based resource allocation for downlink cognitive radio systems[J].Acta Electronica Sinica,2010,38(3):632-637.(in Chinese)

[6] T Wysock,A Jamalipour.Mean-variance based QoS management in cognitive radio.IEEE Transactions on Wireless Communications,2010,9(10):3281-3289.

[7] Y Zhao,MLG Joseph,et al.Appling radio environment maps to cognitive wireless regional area networks.Proceedings of IEEE Dynamic Spectrum Access Networks Dublin,2007.115-118.

[8] H J Lim,D YSeol,G H Im.Resource allocation for mitigating the effect of sensing errors in cognitive radio networks[J].IEEE Communications Letters,2010,14(12):1119-1121.

[9] X G Zhou,G Y Li,D D Li,et al.Probabilistic resource allocation for opportunistic spectrum access[J].IEEE Transactions on Wireless Communications,2010,9(9):2870-2879.

[10] E Pei,S Wang,Z Z Zhang.Capacity and optimal power allocation for spectrum-sharing with primary transmission consideration in fading channels[J].IEEE Communications Letters,2011,15(4):389-391.

[11] Y M GE,Y SUN,S LU,Eryk Dutkiewicz.A distributed decision making method in cognitive radio networks for spectrum management[J].Chinese Journal of Electronics,2010,19(2):195-200.

[12] 韩小博,罗涛.Ad Hoc认知无线电网络中基于博弈论的公共信道建立算法[J].电子学报,2010,38(7):1169-1704. X B Han,T Luo.Common channel establishing algorithms based on game theory in ad hoc cognitive radio networks[J].Acta Electronica Sinica,2010,38(7):1169-1704.(in Chinese)

[13] D Willkomm,J Gross,A Wolisz.Reliable link maintenance in cognitive radio systerms.IEEE Proceedings of New Frontiers in Dynamic Spectrum Access Networks.USA:IEEE Press,2005.371-378.

[14] Y P Xing,Chetan N Mathur,M A Haleem,et al.Dynamic spectrum access with QoS and interference temperature constraints[J].IEEE Transactions on Mobile Computing,2007,6(4):423-433.

[15] 罗丽平,邱焕新,张广驰,等.具有约束条件的认知无线电网络最优频谱价格函数[J].电子学报,2011,39(3):562-566. L P Luo,H X Qiu,G C Zhang,et al.Optimal pricing function with spectrum constraint in cognitive radio networks[J].Acta Electronica Sinica,2011,39(3):562-566.(in Chinese)

[16] S Vatsikas,S Armour,M De Vos,et al.A distributed algorithm for wireless resource allocation using coalitions and the nash bargaining solution.Proceedings of IEEE Conference on Vehicular Technology Conference.USA:IEEE Press,2011.1-5.

[17] R Wang,Vincent K N Lau.Joint cross-layer scheduling and spectrum sensing for OFDMA cognitive radio systems[J]. IEEE Transactions on Wireless Communications,2009,8(5):2410-2416.

[18] A J Goldsmith,S G Chua.Variable-rate variable-power MQAM for fading channels.IEEE Transactions on Wireless Communications,1997,45(10):1218-1230.

[19] S Boyd,L Vandenberghe.Convex Optimization[M].Cambridge,UK:Cambridge University Press,2004.

[20] W Yu,R Lui.Dual methods for nonconvex spectrum optimization of multicarrier systems[J].IEEE Transactions on Communications,2006,54(7):1310-1322.

基金

国家自然科学基金 (No.60872049,No.60971082,No.60972073); 国家973重点基础研究发展计划 (No.2009CB320407); 国家重大科技专项 (No.2010ZX03001-003); 新世纪优秀人才支持计划; ISN国家重点实验室开放基金 (No.ISN12-03)

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