Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing*

Huang Tao; Teng Ying-lei; Liu Meng-ting; Liu Jiang

doi:10.1631/FITEE.1400129

Your Location：

Home >

Browse articles >

Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing*

Computer & Automation | Updated：2022-06-06

- Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing*
- 理想/非理想感知条件下认知异构网络的容量分析
- Frontiers of Information Technology & Electronic Engineering Vol. 16, Issue 1, Pages: 1-11(2015)
- Affiliations：
  
  State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
- Author bio：
  
  ‡Corresponding Author
- Funds：
- DOI：10.1631/FITEE.1400129
  CLC：
- Received：10 April 2014，
  
  Revised：2014-12-12，
  
  Accepted：28 October 2014，
  
  Published：2015-01
- Accepted：
Scan QR Code
Huang Tao, Teng Ying-lei, Liu Meng-ting, et al. Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing*[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(1): 1-11.
DOI：

Huang Tao, Teng Ying-lei, Liu Meng-ting, et al. Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing*[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(1): 1-11. DOI： 10.1631/FITEE.1400129.

摘要

目的

针对认知异构网络中频谱的动态性和干扰的复杂性，利用随机几何理论进行干扰分析并提出网络容量的闭式表达式，为认知异构网络的性能分析提供理论基础。

创新

利用随机几何理论分析认知异构网络中复杂的干扰问题，并提出干扰和网络容量的闭式表达式。

方法

采用"分而治之"的方法，一方面，针对频谱使用的动态性，利用离散时间马尔可夫链对主用户（宏基站用户）进行建模，得到主用户离开和到达概率，并考虑理想/非理想感知情况，分别计算出两种情况下主用户和次用户的数量；另一方面，针对用户位置的随机性，利用齐次泊松点过程对基站和用户进行建模，再采用随机几何理论对干扰进行分析，提出计算干扰的闭式表达式。最后，利用以上两部分结果分别求出理想/非理想感知情况下网络容量的闭式表达式。

结论

利用随机几何理论分析认知异构网络中的干扰和容量具有可行性和准确性；理想感知情况下得到的网络容量要大于非理想感知的情况。

Abstract

Due to irregular deployment of small base stations (SBSs)

the interference in cognitive heterogeneous networks (CHNs) becomes even more complex; in particular

the uncertainty of spectrum mobility aggravates the interference context. In this case

how to analyze system capacity to obtain a closed-form expression becomes a crucial problem. In this paper we employ stochastic methods to formulate the capacity of CHNs and achieve a closed-form expression. By using discrete-time Markov chains (DTMCs)

the spectrum mobility with respect to the arrival and departure of macro base station (MBS) users is modeled. Then an integral method is proposed to derive the interference based on stochastic geometry (SG). Also

the effect of sensing accuracy on network capacity is discussed by concerning false-alarm and miss-detection events. Simulation results are illustrated to show that the proposed capacity analysis method for CHNs can approximate the conventional sum methods without rigorous requirement for channel station information (CSI). Therefore

it turns out to be a feasible and efficient way to capture the network capacity in CHNs.

关键词

Keywords

references

S Akoum , M Zwingelstein-Colin , RW Heath , 等 . Cognitive cooperation for the downlink of frequency reuse small cells . 2010 . Proc. 2nd Int. Workshop on Cognitive Information Processing . 111 - 115 . DOI: 10.1109/CIP.2010.5604251 http://doi.org/10.1109/CIP.2010.5604251 .

S Akoum , M Kountouris , RW Heath . On imperfect CSI for the downlink of a two-tier network . 2011 . Proc. IEEE Int. Symp. on Information Theory . 553 - 557 . DOI: 10.1109/ISIT.2011.6034189 http://doi.org/10.1109/ISIT.2011.6034189 .

JG Andrews , F Baccelli , RK Ganti . A tractable approach to coverage and rate in cellular networks . IEEE Trans Commun , 2011 . 59 ( 11 ): 3122 - 3134 . DOI: 10.1109/TCOMM.2011.100411.100541 http://doi.org/10.1109/TCOMM.2011.100411.100541 .

M Bennis , SM Perlaza , P Blasco , 等 . Self-organization in small cell networks: a reinforcement learning approach . IEEE Trans Wirel Commun , 2013 . 12 ( 7 ): 3202 - 3212 . DOI: 10.1109/TWC.2013.060513.120959 http://doi.org/10.1109/TWC.2013.060513.120959 .

HS Dhillon , RK Ganti , F Baccelli , 等 . Modeling and analysis of K -tier downlink heterogeneous cellular networks . IEEE J Sel Area Commun , 2012 . 30 ( 3 ): 550 - 560 . DOI: 10.1109/JSAC.2012.120405 http://doi.org/10.1109/JSAC.2012.120405 .

HS Dhillon , TD Novlan , JG Andrews . Coverage probability of uplink cellular networks . 2012 . Proc. IEEE Global Communications Conf . 2179 - 2184 . DOI: 10.1109/GLOCOM.2012.6503438 http://doi.org/10.1109/GLOCOM.2012.6503438 .

H ElSawy , E Hossian . Two-tier HetNets with cognitive femtocells: downlink performance modeling and analysis in a multichannel environment . IEEE Trans Mob Comput , 2013 . 13 ( 3 ): 649 - 663 . DOI: 10.1109/TMC.2013.36 http://doi.org/10.1109/TMC.2013.36 .

H ElSawy , E Hossain , DI Kim . HetNets with cognitive small cells: user offloading and distributed channel access techniques . IEEE Commun Mag , 2013 . 51 ( 6 ): 28 - 36 . DOI: 10.1109/MCOM.2013.6525592 http://doi.org/10.1109/MCOM.2013.6525592 .

H ElSawy , E Hossain , M Haenggi . Stochastic geometry for modeling, analysis, and design of multi-tier and cognitive cellular wireless networks: a survey . IEEE Commun Surv Tutor , 2013 . 15 ( 3 ): 996 - 1019 . DOI: 10.1109/SURV.2013.052213.00000 http://doi.org/10.1109/SURV.2013.052213.00000 .

AJ Fehske , I Viering , J Voigt , 等 . Small-cell self-organizing wireless networks . 2014 . Proc. IEEE . ( 3 ): 334 - 350 . DOI: 10.1109/JPROC.2014.2301595 http://doi.org/10.1109/JPROC.2014.2301595 .

X Gelabert , O Sallent , J Pérez-Romero , 等 . Spectrum sharing in cognitive radio networks with imperfect sensing: a discrete-time Markov model . Comput Netw , 2010 . 54 ( 14 ): 2519 - 2536 . DOI: 10.1016/j.comnet.2010.04.005 http://doi.org/10.1016/j.comnet.2010.04.005 .

RW Heath , M Kountouris , T Bai . Modeling heterogeneous network interference using Poisson point processes . IEEE Trans Signal Process , 2013 . 61 ( 16 ): 4114 - 4126 . DOI: 10.1109/TSP.2013.2262679 http://doi.org/10.1109/TSP.2013.2262679 .

YC Huang , KT Ko , Q Huang , 等 . An efficient method for performance evaluation of femto-macro overlay systems . 2011 . Proc. IEEE Int. Conf. on communications . 1 - 6 . DOI: 10.1109/icc.2011.5962706 http://doi.org/10.1109/icc.2011.5962706 .

I Hwang , B Song , SS Soliman . A holistic view on hyper-dense heterogeneous and small cell networks . IEEE Commun Mag , 2013 . 51 ( 6 ): 20 - 27 . DOI: 10.1109/MCOM.2013.6525591 http://doi.org/10.1109/MCOM.2013.6525591 .

JM Kelif , E Alman . Downlink fluid model of CDMA networks . 2005 . Proc. IEEE 61st Vehicular Technology Conf . 2264 - 2268 . DOI: 10.1109/VETECS.2005.1543738 http://doi.org/10.1109/VETECS.2005.1543738 .

K Khawam , AE Samhat , M Ibrahim , 等 . Fluid model for wireless adhoc networks . 2007 . Proc. IEEE 18th Int. Symp. on Personal, Indoor and Mobile Radio Communications . 1 - 5 . DOI: 10.1109/PIMRC.2007.4394499 http://doi.org/10.1109/PIMRC.2007.4394499 .

M Khoshkholgh , K Navaie , H Yanikomeroglu . Outage performance of the primary service in spectrum sharing networks . IEEE Trans Mob Comput , 2013 . 12 ( 10 ): 1955 - 1971 . DOI: 10.1109/TMC.2012.156 http://doi.org/10.1109/TMC.2012.156 .

P Madhusudhanan , JG Restrepo , Y Liu , 等 . Heterogeneous cellular network performance analysis under open and closed access . 2012 . Proc. IEEE Globecom Workshops . 563 - 568 . DOI: 10.1109/GLOCOMW.2012.6477635 http://doi.org/10.1109/GLOCOMW.2012.6477635 .

KA Meerja , PH Ho , B Wu . A novel approach for co-channel interference mitigation in femtocell networks . 2011 . Proc. IEEE Global Telecommunications Conf . 1 - 6 . DOI: 10.1109/GLOCOM.2011.6133956 http://doi.org/10.1109/GLOCOM.2011.6133956 .

T Nakamura , S Nagata , A Benjebbour , 等 . Trends in small cell enhancements in LTE advanced . IEEE Commun Mag , 2013 . 51 ( 2 ): 98 - 105 . DOI: 10.1109/MCOM.2013.6461192 http://doi.org/10.1109/MCOM.2013.6461192 .

D Stoyan , WS Kendall , J Mecke . Stochastic Geometry and Its Applications (2nd Ed). , 1995 . John Wiley & Sons, Chichester , .

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

A cloud-edge-device collaborative offloading scheme with heterogeneous tasks and its performance evaluation

A random finite set based joint probabilistic data association filter with non-homogeneous Markov chain

Related Author

Xiaojun BAI

Yang ZHANG

Haixing WU

Yuting WANG

Shunfu JIN

Yun ZHU

Shuang LIANG

Xiaojun WU

Related Institution

School of Information Science and Engineering, Yanshan University

Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Yanshan University

Key Laboratory of Modern Teaching Technology, Ministry of Education

School of Computer Science, Shaanxi Normal University

Academy of Advanced Interdisciplinary Research, Xidian University

Chat

Address：Zhejiang University Press, 148 Tianmushan Road, Hangzhou, China Postal code：310028
Tel：+86-571-88273162 Email：fitee@zju.edu.cn
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰