Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2017

28.09.2016

Influence of Channel Information Imperfection on Outage Probability of Cooperative Cognitive Networks with Partial Relay Selection

verfasst von: Khuong Ho-Van

Erschienen in: Wireless Personal Communications | Ausgabe 4/2017

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Influence of channel information imperfection on outage probability of cooperative cognitive networks with partial relay selection over independent and non-identical Rayleigh fading channels and under peak transmit power constraint and interference power constraint is thoroughly analyzed in this paper. To eliminate time-consuming simulations, we propose both exact and asymptotic outage probability expressions in closed-form, which facilitate in quickly evaluating this influence in key operation parameters and acquiring useful insights into performance limits. For comparison, we also derive similar expressions for two benchmark communications schemes in cognitive radio networks, namely direct transmission and dual-hop communications with partial relay selection. Various results show considerable system performance deterioration and performance saturation owing to channel information imperfection, and superiority of cooperative communications to direct transmission and dual-hop communications.
Vorheriger Artikel Performance Evaluation of High Data Rate M-OAM UWB Physical Layer for Intelligent Transportation Systems
Nächster Artikel Compressed Sensing of Sparse Multipath MIMO Channels with Superimposed Training Sequence

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Anhänge
Nur mit Berechtigung zugänglich
Fußnoten
1
As above-mentioned, this paper considers the DF relays in cooperative cognitive networks and so, relay selection criteria with the AF relays (e.g., [18‐20]) or in dual-hop cognitive networks (e.g., [21‐25]) are not necessarily surveyed.
 
2
The influence of channel information imperfection in cognitive radio networks under spectrum-sharing paradigm was investigated in different aspects; for example, relay non-selection (e.g., [33‐36]), the AF relay selection (e.g., [37, 38]), direct transmission (i.e., no relay) in [39], dual-hop communications with relay selection [40, 41]. Because the current paper concentrates on the partial RSC in DF cooperative cognitive networks, the literature related to these aspects investigated in [33‐41] should not be further surveyed.
 
3
\(\lambda _{ij}\)’s are divided into clusters of identical value; for example, \(\lambda _{Si}\)’s, \(\lambda _{iD}\)’s, \(\lambda _{iP}\)’s with \(i\in \{1,\ldots ,R\}\) are assumed to be identical in [3, 8‐10, 14, 23, 41‐45].
 
4
\(\lambda _{ij}\)’s, \(\forall \{i,j\}\) are equal in [7, 11, 12, 15].
 
5
\({\mathcal {S}}[i]\) denotes the ith element of the set \({\mathcal {S}}\).
 
6
\(\emptyset \) denotes the empty set.
 
7
It is noted again that [46] does not investigate the direct channel between the source and the destination for further performance improvement as performed in [45] and our paper.
 
8
It is noted that the threshold for direct transmission is just \(\gamma _0=2^T-1\), instead of \(\gamma _0=2^{2T}-1\) for the partial RSC. This is because direct transmission requires one-stage transmission while the partial RSC needs two-stage transmission.
 
9
\(\{ {x,y,\ldots }\}\mathop \rightarrow \limits ^{{{{{\mathcal {P}}}}_m},{{{\mathcal {Q}}}} \rightarrow \infty } \{ {X,Y,\ldots }\}\) is the short-hand representation which denotes \(x\mathop \rightarrow \limits ^{{{{{\mathcal {P}}}}_m},{{{\mathcal {Q}}}} \rightarrow \infty } X,y\mathop \rightarrow \limits ^{{{{{\mathcal {P}}}}_m},{{{\mathcal {Q}}}} \rightarrow \infty } Y,\ldots \)
 
10
As discussed in Sect. 3.2, PCI makes zero outage probability in the high SNR regime and hence, no performance limit for this case is plotted in Fig. 2.
 
Literatur
1.
FCC. (2002). Spectrum policy task force report. ET Docket 02–135, Nov. 2002.
2.
Mitola, J, I. I. I. (2000). Cognitive radio: An integrated agent architecture for software defined radio. Sweden: Royal Institute of Technology (KTH).
3.
Lee, J., Wang, H., Andrews, J. G., & Hong, D. (2011). Outage probability of cognitive relay networks with interference constraints. IEEE Transactions on Wireless Communications, 10(2), 390–395.CrossRef
4.
Mokari, N., Parsaeefard, S., Saeedi, H., Azmi, P., & Hossain, E. (2015). Secure robust ergodic uplink resource allocation in relay-assisted cognitive radio networks. IEEE Transactions on Signal Processing, 63(2), 291–304.MathSciNetCrossRef
5.
Hanif, M., Yang, H. C., & Alouini, M. S. (2015). Receive antenna selection for underlay cognitive radio with instantaneous interference constraint. IEEE Signal Processing Letters, 22(6), 738–742.CrossRef
6.
Chen, Y., Ge, J., & Bu, Q. (2014). Outage and diversity analysis of cognitive relay networks with direct link under interference constraints over Nakagami-m fading. In Proceedings IEEE CIT, Xi’an, Shaanxi, China, 11–13 Sep. 2014 (pp. 88–93).
7.
Guimaraes, F. R. V., da Costa, D. B., Tsiftsis, T. A., Cavalcante, C. C., & Karagiannidis, G. K. (2014). Multi-user and multi-relay cognitive radio networks under spectrum sharing constraints. IEEE Transactions on Vehicular Technology, 63(1), 433–439.CrossRef
8.
Si, J., Li, Z., Huang, H., Chen, J., & Gao, R. (2012). Capacity analysis of cognitive relay networks with the PU’s interference. IEEE Communications Letters, 16(12), 2020–2023.CrossRef
9.
Si, J., Li, Z., Chen, X., Hao, B. J., & Liu, Z. J. (2011). On the performance of cognitive relay networks under primary user’s outage constraint. IEEE Communications Letters, 15(4), 422–424.CrossRef
10.
Tourki, K., Qaraqe, K. A., & Alouini, M. S. (2013). Outage analysis for underlay cognitive networks using incremental regenerative relaying. IEEE Transactions on Vehicular Technology, 62(2), 721–734.CrossRef
11.
Yan, Z., Zhang, X., & Wang, W. (2011). Exact outage performance of cognitive relay networks with maximum transmit power limits. IEEE Communications Letters, 15(12), 1317–1319.CrossRef
12.
Hong, J. P., Hong, B., Ban, T. W., & Choi, W. (2012). On the cooperative diversity gain in underlay cognitive radio systems. IEEE Transactions on Communications, 60(1), 209–219.CrossRef
13.
Bao, V. N. Q., & Duong, T. Q. (2012). Exact outage probability of cognitive underlay DF relay networks with best relay selection. IEICE Transactions on communications, E95–B(6), 2169–2173.CrossRef
14.
Liping, L., Zhang, P., Zhang, G., & Qin, J. (2011). Outage performance for cognitive relay networks with underlay spectrum sharing. IEEE Communications Letters, 15(7), 710–712.CrossRef
15.
Zhang, X., Yan, Z., Gao, Y., & Wang, W. (2013). On the study of outage performance for cognitive relay networks (CRN) with the Nth best-relay selection in Rayleigh-fading channels. IEEE Wireless Communications Letters, 2(1), 110–113.CrossRef
16.
Laneman, J. N., Tse, D. N. C., & Wornell, G. W. (2004). Cooperative diversity in wireless networks: Efficient protocols and outage behavior. IEEE Transactions on Information Theory, 50(12), 3062–3080.MathSciNetCrossRefMATH
17.
Bletsas, A., Khisti, A., Reed, D. P., & Lippman, A. (2006). Simple cooperative diversity method based on network path selection. IEEE Journal on Selected Areas in Communications, 24(3), 659–672.CrossRef
18.
Zhong, B., Zhang, Z., Zhang, X., Wang, J., & Long, K. (2013). Partial relay selection with fixed-gain relays and outdated CSI in underlay cognitive networks. IEEE Transactions on Vehicular Technology, 62(9), 4696–4701.CrossRef
19.
Seyfi, M., Muhaidat, S., & Liang, J. (2013). Relay selection in cognitive radio networks with interference constraints. IET Communications, 7(10), 922–930.CrossRef
20.
Minghua, X., & Aissa, S. (2012). Cooperative AF relaying in spectrum-sharing systems: Outage probability analysis under co-channel interferences and relay selection. IEEE Transactions on Communications, 60(11), 3252–3262.CrossRef
21.
Kim, K. J., Duong, T. Q., & Tran, X. N. (2012). Performance analysis of cognitive spectrum-sharing single-carrier systems with relay selection. IEEE Transactions on Signal Processing, 60(12), 6435–6449.MathSciNetCrossRef
22.
Chamkhia, H., Hasna, M. O., Hamila, R., & Hussain, S. I. (2012). Performance analysis of relay selection schemes in underlay cognitive networks with decode and forward relaying. In Proceedings of IEEE PIMRC, Sydney, Australia, 9–12 Sep. 2012 (pp. 1552–1558).
23.
Giang, N. H., Bao, V. N. Q., & Le, H. N. (2013). Cognitive underlaycommunications with imperfect CSI: network design and performanceanalysis. In Proceedings of IEEE ATC, HoChiMinh City, Vietnam, 15–17 Oct. 2013 (pp. 18–22).
24.
Si, J., Huang, H., Li, Z., Hao, B., & Gao, R. (2014). Performance analysis of adaptive modulation in cognitive relay network with cooperative spectrum sensing. IEEE Transactions on Communications, 62(7), 2198–2211.CrossRef
25.
Ho-Van, K., Sofotasios, P. C., Alexandropoulos, G. C., & Freear, S. (2015). Bit error rate of underlay decode-and-forward cognitive networks with best relay selection. IEEE/KICS Journal of Communications and Networks, 17(2), 162–171.CrossRef
26.
Guimaraes, F. R. V., da Costa, D. B., Benjillali, M., Tsiftsis, T. A., & Karagiannidis, G. K. (2013). Best relay selection in cooperative spectrum sharing systems with multiple primary users. In Proceedings IEEE ICC, Budapest, Hungary, 9–13 Jun. 2013 (pp. 2661–2665).
27.
Asaduzzaman, Kong, H. Y., & Lyum, K. (2010). Cooperative relaying in interference limited cognitive radio networks. In Proceedings of IEEE WiMob, Niagara Falls, Canada, 11–13 Oct. 2010 (pp. 280–285).
28.
Zhong, B., Zhang, Z., Chai, X., Pan, Z., Long, K., & Cao, H. (2015). Performance analysis for opportunistic full-duplex relay selection in underlay cognitive networks. IEEE Transactions on Vehicular Technology, 64(10), 4905–4910.CrossRef
29.
Zhang, Y., Xie, Y., Liu, Y., Feng, Z., Zhang, P., & Wei, Z. (2012). Outage probability of cognitive relay network with transmit power and interference constraints. In Proceedings of WPMC, Taipei, Taiwan, 24–27 Sep. 2012 (pp. 1–5).
30.
Chang, C. W., Lin, P. H., & Su, S. L. (2011). A low-interference relay selection for decode-and-forward cooperative network in underlay cognitive radio. In Proceedings of IEEE CROWNCOM, Osaka, Japan, 1–3 Jun. 2011 (pp. 306–310).
31.
Sakran, H., Shokair, M., Nasr, O., El-Rabaie, S., & El-Azm, A. A. (2012). Proposed relay selection scheme for physical layer security in cognitive radio networks. IET Communications, 6(16), 2676–2687.MathSciNetCrossRef
32.
Liu, Y., Wang, L., Duy, T. T., Elkashlan, M., & Duong, T. Q. (2015). Relay selection for security enhancement in cognitive relay networks. IEEE Wireless Communications Letters, 4(1), 46–49.CrossRef
33.
Khuong, H. V. (2013). Exact outage analysis of underlay cooperative cognitive networks with maximum transmit-and-interference power constraints and erroneous channel information. Transactions on Emerging Telecommunications Technologies, 24(7–8), 1–17.
34.
Khuong, H. V., & Sofotasios, P. C. (2013). Exact bit-error-rate analysis of underlay decode-and-forward multi-hop cognitive networks with estimation errors. IET Communications, 7(18), 2122–2132.CrossRef
35.
Khuong, H. V. (2014). Impact of imperfect channel information on the performance of underlay cognitive DF multi-hop systems. Wireless Personal Communications, 74(2), 487–498.MathSciNetCrossRef
36.
Bao, V. N. Q., Duong, T. Q., & Chintha, T. (2013). On the performance of cognitive underlay multihop networks with imperfect channel state information. IEEE Transactions on Communications, 61(12), 4864–4873.CrossRef
37.
Zhong, B., Zhang, X., Li, Y., Zhang, Z., & Long, K. (2013). Impact of partial relay selection on the capacity of communications systems with outdated CSI and adaptive transmission techniques. In Proceedings of IEEE WCNC, Shanghai, China, 7–10 Apr. 2013 (pp. 3720–3725).
38.
Chen, J., Si, J., Li, Z., & Huang, H. (2012). On the performance of spectrum sharing cognitive relay networks with imperfect CSI. IEEE Communications Letters, 16, 1002–1005.CrossRef
39.
Suraweera, H. A., Smith, P. J., & Shafi, M. (2010). Capacity limits and performance analysis of cognitive radio with imperfect channel knowledge. IEEE Transactions on Vehicular Technology, 59, 1811–1822.CrossRef
40.
Chamkhia, H., Omri, A., & Bouallegue, R. (2014). The impact of imperfect channel state information on the performances of relay selection schemes in underlay cognitive networks. In Proceedings of IWCMC, Nicosia, Cuprus, 4–8 Aug. 2014 (pp. 174–179).
41.
Sun, H., & Pour, M. N. (2014). Decode-and-forward relay selection with imperfect CSI in cognitive relay networks. In Proceedings of IEEE MILCOM, Baltimore, MD, USA, 6–8 Oct. 2014 (pp. 416–421).
42.
Ding, H., Ge, J., da Costa, D. B., & Jiang, Z. (2011). Asymptotic analysis of cooperative diversity systems with relay selection in a spectrum-sharing scenario. IEEE Transactions on Vehicular Technology, 60, 457–472.CrossRef
43.
Zhang, X., Xing, J., Yan, Z., Gao, Y., & Wang, W. (2013). Outage performance study of cognitive relay networks with imperfect channel knowledge. IEEE Communications Letters, 17(1), 27–30.CrossRef
44.
Tourki, K., Qaraqe, K. A., & Abdallah, M. (2014). Outage analysis of incremental opportunistic regenerative relaying with outdated CSI under spectrum sharing constraints. In Proceedings of IEEE WCNC, Istanbul, Turkey, 6–9 Apr. 2014 (pp. 851–856).
45.
Thanh, T. L., Bao, V. N. Q., & An, B. (2013). On the performance of outage probability in underlay cognitive radio with imperfect CSI. In Proceedings of IEEE ATC, HoChiMinh City, Vietnam, 15–17 Oct. 2013 (pp. 125–130).
46.
Wu, Q., Zhang, Z., & Wang, J. (2013). Outage analysis of cognitive relay networks with relay selection under imperfect CSI environment. IEEE Communications Letters, 17(7), 1297–1300.CrossRef
47.
Tang, X., Cai, Y., Yang, W., Yang, W., Zhang, T., & Chen, H. (2016). Outage analysis of buffer-aided underlay cognitive relay networks with outdated CSI. International Journal of Electronics and Communications, 70(3), 359–366.CrossRef
48.
Ahn, K. S., & Heath, R. W. (2009). Performance analysis of maximum ratio combining with imperfect channel estimation in the presence of cochannel interferences. IEEE Transactions on Wireless Communications, 8(3), 1080 1085.CrossRef
49.
Gradshteyn, I. S., & Ryzhik, I. M. (2000). Table of Integrals, Series and Products (6th ed.). San Diego, CA: Academic.MATH
50.
Bithas, P. S., & Rontogiannis, A. A. (2015). Outage probability analysis of multihop cognitive networks under multiple primary users interference. In Proceedings of European Wireless Conference, Budapest, Hungary, 20-22 May 2015 (pp. 1–5).
Metadaten
Titel
Influence of Channel Information Imperfection on Outage Probability of Cooperative Cognitive Networks with Partial Relay Selection
verfasst von
Khuong Ho-Van
Publikationsdatum
28.09.2016
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-016-3777-8

Weitere Artikel der Ausgabe 4/2017

Wireless Personal Communications 4/2017 Zur Ausgabe

OriginalPaper

Design and Analysis of Super-Formula-Based UWB Monopole Antenna and its MIMO Configuration

OriginalPaper

EHSD: An Exemplary Handover Scheme During D2D Communication Based on Decentralization of SDN

OriginalPaper

A QoS-Aware Dynamic Bandwidth Allocation in PON Networks

OriginalPaper

Optimized Neural Network for Spectrum Prediction Scheme in Cognitive Radio

OriginalPaper

An Efficient and Secure Identity-Based Authentication and Key Agreement Protocol with User Anonymity for Mobile Devices

OriginalPaper

Multi-Objective WSN Deployment Using Genetic Algorithms Under Cost, Coverage, and Connectivity Constraints

Neuer Inhalt

    Bildnachweise