Cooperative resource sharing for multi rate cognitive networks

Yan ZHANG; Min SHENG; Jian-dong LI; Wei-jia HAN; Xiao MA

doi:1000-436X(2011)11-0035-09

您当前的位置：

首页 >

文章列表页 >

Cooperative resource sharing for multi rate cognitive networks

Papers | 更新时间：2024-06-05

- Cooperative resource sharing for multi rate cognitive networks
- Journal on Communications Vol. 32, Issue 11, Pages: 35-43(2011)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：1000-436X(2011)11-0035-09
  CLC： TP393
- Online First：2011-11，
  
  Published：25 November 2011
- 稿件说明：
移动端阅览
Yan ZHANG, Min SHENG, Jian-dong LI, et al. Cooperative resource sharing for multi rate cognitive networks[J]. Journal on Communications, 2011, 32(11): 35-43.
DOI：

Yan ZHANG, Min SHENG, Jian-dong LI, et al. Cooperative resource sharing for multi rate cognitive networks[J]. Journal on Communications, 2011, 32(11): 35-43. DOI： 1000-436X(2011)11-0035-09.

摘要

针对多速率认知网络分析了不同体制网络间相互协作的动机及策略。基于排队论模型，提出了不同协作策略的时延分析模型，得到了不同类型用户的业务到达率、分组长度、信道传输速率与业务平均服务时间之间的解析关系，进而揭示了不同协作资源共享机制的时延性能以及适用的场景。数值仿真验证了分析模型的准确性和有效性，同时证明：通过合理利用用户间的协作，不仅可以更好地保障主用户业务的QoS性能，还可以有效提升次级用户的接入机会和QoS保障能力。

Abstract

The motivations and strategies of cooperation between heterogeneous networks were discussed for multi rate cognitive networks.Based on queuing theory

the delay analytical models for different cooperative strategies were proposed and the closed form analysis

which exactly shows the relationship among different users’ traffic arrival rate

packet length

transmission rate and service delay

was obtained to reveal the delay performance and appropriate application scenarios of different cooperative strategies.The simulation results confirm that the proposed analytical model is correct and effective.In addition

it shows that not only the QoS of primary user is better guaranteed

but also the access opportunity and QoS of secondary user are improved by cooperation dramatically.

关键词

Keywords

references

THOMAS R W . Cognitive networks:adaptation and learning to achieve end-to-end performance objectives [J ] . IEEE Communications Magazine , 2006 , 44 ( 12 ): 51 - 57 .

LANEMAN J N , WORNELL G W . Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks [J ] . IEEE Transactions on Information Theory , 2003 , 49 ( 10 ): 2415 - 2425 .

LETAIEF K B , ZHANG W . Cooperative communications for cognitive radio networks [J ] . Proceedings of the IEEE , 2009 , 97 ( 5 ): 878 - 893 .

ZHANG Q , JIA J , ZHANG J . Cooperative relay to improve diversity in cognitive radio networks [J ] . IEEE Communications Magazine , 2009 , 47 ( 2 ): 111 - 117 .

SIMEONE O , STANOJEV I , SAVAZZI S , et al . Spectrum leasing to cooperating secondary ad hoc networks [J ] . IEEE Journal on Selected Areas in Communications , 2008 , 26 ( 1 ): 203 - 213 .

GOLDSMITH A , JAFARY S A , MARIC I . Breaking spectrum gridlock with cognitive radios:an information theoretic perspective [J ] . Proceedings of the IEEE , 2009 , 97 ( 5 ): 894 - 914 .

ZHANG J , ZHANG Q . Stackelberg game for utility-based cooperative cognitive radio networks [A ] . The Tenth ACM International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc) [C ] . New Orleans,Louisiana,USA , 2009 . 23 - 31 .

KRIKIDIS I , LANEMAN J N , THOMPSON J S , et al . Protocol design and throughput analysis for multi-user cognitive cooperative systems [J ] . IEEE Transactions on Wireless Communication , 2009 , 8 ( 9 ): 4740 - 4751 .

NARAYANAN S , PANWAR S S . To forward or not to forward:that is the question [J ] . Wireless Personal Communication , 2007 , 43 ( 1 ): 65 - 87 .

MOHAMMAD M R , HOSSAIN M J , EKRAM H . Opportunistic spectrum scheduling for multiuser cognitive radio:a queueing analysis [J ] . IEEE Transactions on Wireless Communication , 2009 , 8 ( 10 ): 5259 - 5268 .

ISAMELDIN S , JANNE L . Queueing analysis of opportunistic access in cognitive radios [A ] . IEEE the Second International Workshop on Cognitive Radio and Advanced Spectrum Management (IEEE CogART) [C ] . Aalborg,Denmark , 2009 . 153 - 157 .

ZHANG C X , WANG X B , LI J . Cooperative cognitive radio with priority queueing analysis [A ] . IEEE International Conference on Communications (IEEE ICC) [C ] . Dresden,Germany , 2009 . 1 - 5 .

BERTSEKAS D , GALLAGER R . Data Networks [M ] . Englewood Cliffs,NJ : Prentice- Hall , 1987 .

Views

768

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on flexible computing scheduling mechanism for Internet of computing resource

Accelerated unconstrained latent factorization of tensor model for Web service QoS estimation

Data poisoning attack detection approach for quality of service aware cloud API recommender system

Deep reinforcement learning based algorithm for real-time QoS optimization of software-defined security middle platform

Joint QoS prediction for Web services based on deep fusion of features

Related Author

GU Jiongjiong

LI Peishan

CAO Weipeng

CAI Zhiyuan

XU Chuanfei

YAN Dan

MAO Xinwei

MING Zhong

Related Institution

Guangdong Laboratory of Artificial Intelligence and Digital Economy

China Academy of Information and Communications Technology

Huawei Cloud Computing Technologies Co., Ltd.

College of Computer and Cyber Security, Fujian Normal University

Fujian Provincial Engineering Research Center for Public Service Big Data Mining and Application, Fujian Normal University

AI问答

⁰