Full Text:   <630>

Summary:  <324>

CLC number: TN925

On-line Access: 2017-02-10

Received: 2016-07-14

Revision Accepted: 2016-11-10

Crosschecked: 2017-01-03

Cited: 0

Clicked: 1933

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Wan-liang Wang

http://orcid.org/0000-0001-6127-4222

-   Go to

Article info.
Open peer comments

Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.2 P.253-261

http://doi.org/10.1631/FITEE.1601414


Joint throughput and transmission range optimization for triple-hop networks with cognitive relay


Author(s):  Cheng Zhao, Wan-liang Wang, Xin-wei Yao, Shuang-hua Yang

Affiliation(s):  College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, China; more

Corresponding email(s):   zhaoc@zjut.edu.cn, wwl@zjut.edu.cn

Key Words:  Decode-and-forward (DF), Triple-hop, Cognitive relay networks (CRNs), Time and power allocation, Superposition coding


Cheng Zhao, Wan-liang Wang, Xin-wei Yao, Shuang-hua Yang. Joint throughput and transmission range optimization for triple-hop networks with cognitive relay[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(2): 253-261.

@article{title="Joint throughput and transmission range optimization for triple-hop networks with cognitive relay",
author="Cheng Zhao, Wan-liang Wang, Xin-wei Yao, Shuang-hua Yang",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="18",
number="2",
pages="253-261",
year="2017",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1601414"
}

%0 Journal Article
%T Joint throughput and transmission range optimization for triple-hop networks with cognitive relay
%A Cheng Zhao
%A Wan-liang Wang
%A Xin-wei Yao
%A Shuang-hua Yang
%J Frontiers of Information Technology & Electronic Engineering
%V 18
%N 2
%P 253-261
%@ 2095-9184
%D 2017
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1601414

TY - JOUR
T1 - Joint throughput and transmission range optimization for triple-hop networks with cognitive relay
A1 - Cheng Zhao
A1 - Wan-liang Wang
A1 - Xin-wei Yao
A1 - Shuang-hua Yang
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 18
IS - 2
SP - 253
EP - 261
%@ 2095-9184
Y1 - 2017
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1601414


Abstract: 
The optimization of the network throughput and transmission range is one of the most important issues in cognitive relay networks (CRNs). Existing research has focused on the dual-hop network, which cannot be extended to a triple-hop network due to its shortcomings, including the limited transmission range and one-way communication. In this paper, a novel, triple-hop relay scheme is proposed to implement time-division duplex (TDD) transmission among secondary users (SUs) in a three-phase transmission. Moreover, a superposition coding (SC) method is adopted for handling two-receiver cases in triple-hop networks with a cognitive relay. We studied a joint optimization of time and power allocation in all three phases, which is formulated as a nonlinear and concave problem. Both analytical and numerical results show that the proposed scheme is able to improve the throughput of SUs, and enlarge the transmission range of primary users (PUs) without increasing the number of hops.

认知中继三跳网络联合优化

概要:认知中继网络中,传输的吞吐量和传输距离一直是衡量性能的重要指标。现有的研究多数都集中在两跳网络的优化,但其也存在着传输距离不长,只能进行单项传输等缺点。本文提出了一种新的使用认知中继的三跳网络传输方案,通过三阶段的传输过程,实现了次级用户之间的双向传输。同时,引入了叠加编码技术来处理网络中双接收节点的情况。本文将这个三阶段的联合优化问题转化为一个非线性的优化问题,并进行了求解。仿真结果表明,本文提出的优化方法可以在不增加中继跳数的情况下,延长主用户传输距离,并同时提高次级用户的传输吞吐量。

关键词:解码转发;三跳;认知中继网络;时间功率分配;叠加编码

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Boyd, S., Vandenberghe, L., 2004. Convex Optimization. Cambridge University Press, Cambridge, UK.

[2]Chen, X., Huang, J., 2012. Distributed spectrum access with spatial reuse. IEEE J. Sel. Areas Commun., 31(3):593-603.

[3]Chen, X., Huang, J., 2015. Imitation-based social spectrum sharing. IEEE Trans. Mob. Comput., 14(1):1189-1202.

[4]Elgendi, M., Nasr, O.A., Khairy, M.M., 2014. Cooperative multicasting based on superposition and layered coding. IET Commun., 8(3):267-277.

[5]Guimarães, F.R.V., da Costa, D.B., Tsiftsis, T.A., et al., 2014. Multiuser and multirelay cognitive radio networks under spectrum-sharing constraints. IEEE Trans. Veh. Technol., 63(1):433-439.

[6]He, J., Xu, C., Li, L., 2012. Power saving for cooperative spectrum sharing-based cognitive radios under primary user short-term rate protection. IET Commun., 6(9):1097-1103.

[7]Huang, H., Li, Z., Si, J., et al., 2015. Underlay cognitive relay networks with imperfect channel state information and multiple primary receivers. IET Commun., 9(4):460-467.

[8]Jo, M., Maksymyuk, T., Batista, R.L., et al., 2014. A survey of converging solutions for heterogeneous mobile networks. IEEE Wirel. Commun., 21(6):54-62.

[9]Kaneko, M., Hayashi, K., Sakai, H., 2014. Superposition coding based user combining schemes for non-orthogonal scheduling in a wireless relay system. IEEE Trans. Wirel. Commun., 13(6):3232-3243.

[10]Lee, J., Wang, H., Andrew, J.G., et al., 2011. Outage probability of cognitive relay networks with interference constraints. IEEE Trans. Wirel. Commun., 10(2):390-395.

[11]Li, P., de Lamare, R.C., Fa, R., 2011. Multiple feedback successive interference cancellation detection for multiuser MIMO systems. IEEE Trans. Wirel. Commun., 10(8):2434-2439.

[12]Li, Y., Zhang, Z., Zhang, B., et al., 2013. Best relay selection in decode and forward cooperative cognitive radio relay networks over Rayleigh fading channels. IET Int. Conf. on Information and Communications Technologies, p.152-157.

[13]Liu, K.R., 2009. Cooperative Communications and Networking: Cambridge University Press, Cambridge, UK.

[14]Liu, X., Tan, X.Z., 2014. Optimization algorithm of periodical cooperative spectrum sensing in cognitive radio. Int. J. Commun. Syst., 27(5):705-720.

[15]Lu, W., Wang, J., 2014. Opportunistic spectrum sharing based on full-duplex cooperative OFDM relaying. IEEE Commun. Lett., 18(2):241-244.

[16]Lu, W., Wang, J., Li, F., et al., 2013. An anti-interference cooperative spectrum sharing strategy with full-duplex. 19th IEEE Int. Conf. on Networks, p.1-4.

[17]Luo, Z.Q., Yu, W., 2006. An introduction to convex optimization for communications and signal processing. IEEE J. Sel. Areas Commun., 24(8):1426-1438.

[18]Shin, E.H., Kim, D., 2011. Time and power allocation for collaborative primary-secondary transmission using superposition coding. IEEE Commun. Lett., 15(2):196-198.

[19]Shoukry, H., Zlatanov, N., Jamali, V., et al., 2014. Achievable rates for the fading three-hop half-duplex relay network using buffer-aided relaying. IEEE Global Communications Conf., p.1716-1721.

[20]Spectrum Efficiency Working Group, 2002. Report of the Spectrum Efficiency Working Group. Federal Communications Commission Spectrum Policy Task Force, Washington DC, USA.

[21]Vanka, S., Srinivasa, S., Haenggi, M., et al., 2012a. A practical approach to strengthen vulnerable downlinks using superposition coding. IEEE Int. Conf. on Communications, p.3763-3768.

[22]Vanka, S., Srinivasa, S., Gong, P., et al., 2012b. Superposition coding strategies: Design and experimental evaluation. IEEE Trans. Wirel. Commun., 11(7):2628-2639.

[23]Wang, J., Li, Y., Zhong, B., et al., 2013. Adaptive power allocation for decode-and-forward OFDM transmission with multi-hop relaying. IEEE/CIC Int. Conf. on Communications in China, p.345-350.

[24]Zhang, Y., Sun, X., Wang, B., 2016. Efficient algorithm for k-barrier coverage based on integer linear programming. China Commun., 13(7):16-23.

[25]Zhong, W., Chen, G., Jin, S., et al., 2014. Relay selection and discrete power control for cognitive relay networks via potential game. IEEE Trans. Signal Process., 62(20):5411-5424.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - Journal of Zhejiang University-SCIENCE