Example of International Journal of Wireless Information Networks format
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Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format
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Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format Example of International Journal of Wireless Information Networks format
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open access Open Access

International Journal of Wireless Information Networks — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Computer Networks and Communications #143 of 334 up up by 52 ranks
Electrical and Electronic Engineering #300 of 693 up up by 138 ranks
Hardware and Architecture #83 of 157 up up by 39 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 156 Published Papers | 490 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 29/06/2020
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Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

3.1

29% from 2019

CiteRatio for International Journal of Wireless Information Networks from 2016 - 2020
Year Value
2020 3.1
2019 2.4
2018 1.6
2017 1.0
2016 1.8
graph view Graph view
table view Table view

0.288

13% from 2019

SJR for International Journal of Wireless Information Networks from 2016 - 2020
Year Value
2020 0.288
2019 0.254
2018 0.218
2017 0.149
2016 0.183
graph view Graph view
table view Table view

0.679

3% from 2019

SNIP for International Journal of Wireless Information Networks from 2016 - 2020
Year Value
2020 0.679
2019 0.699
2018 0.647
2017 0.301
2016 0.576
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 29% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 13% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 3% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

International Journal of Wireless Information Networks

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Springer

International Journal of Wireless Information Networks

International Journal of Wireless Information Networks is an international forum for the dissemination of knowledge related to wireless information networks for researchers in the telecommunications and computer industries. This outstanding quarterly publishes high-quality, pe...... Read More

Engineering

i
Last updated on
28 Jun 2020
i
ISSN
1068-9605
i
Impact Factor
Medium - 0.578
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
SPBASIC
i
Citation Type
Author Year
(Blonder et al, 1982)
i
Bibliography Example
Beenakker CWJ (2006) Specular andreev reflection in graphene. Phys Rev Lett 97(6):067,007, URL 10.1103/PhysRevLett.97.067007

Top papers written in this journal

Journal Article DOI: 10.1023/A:1016003126882
A Probabilistic Approach to WLAN User Location Estimation
Teemu Roos1, Petri Myllymäki1, Henry Tirri1, Pauli Misikangas, Juha Sievänen

Abstract:

We estimate the location of a WLAN user based on radio signal strength measurements performed by the user’s mobile terminal. In our approach the physical properties of the signal propagation are not taken into account directly. Instead the location estimation is regarded as a machine learning problem in which the task is to m... We estimate the location of a WLAN user based on radio signal strength measurements performed by the user’s mobile terminal. In our approach the physical properties of the signal propagation are not taken into account directly. Instead the location estimation is regarded as a machine learning problem in which the task is to model how the signal strengths are distributed in different geographical areas based on a sample of measurements collected at several known locations. We present a probabilistic framework for solving the location estimation problem. In the empirical part of the paper we demonstrate the feasibility of this approach by reporting results of field tests in which a probabilistic location estimation method is validated in a real-world indoor environment. read more read less

Topics:

Probabilistic logic (57%)57% related to the paper
View PDF
975 Citations
Journal Article DOI: 10.1007/BF02117292
Two signaling schemes for improving the error performance of frequency division duplex (FDD) transmission systems using transmitter antenna diversity
Nambi Seshadri1, Jack Harriman Winters1

Abstract:

We propose two signaling schemes that exploit the availability of multiple (N) antennas at the transmitter to provide diversity benefit to the receiver. This is typical of cellular radio systems where a mobile is equipped with only one antenna while the base station is equipped with multiple antennas. We further assume that t... We propose two signaling schemes that exploit the availability of multiple (N) antennas at the transmitter to provide diversity benefit to the receiver. This is typical of cellular radio systems where a mobile is equipped with only one antenna while the base station is equipped with multiple antennas. We further assume that the mobile-to-base and base-to-mobile channel variations are statistically independent and that the base station has no knowledge of the base-to-mobile channel characteristics. In the first scheme, a channel code of lengthN and minimum Hamming distanced min≤N is used to encode a group ofK information bits. Channel code symbolc i is transmitted with thei th antenna. At the receiver, a maximum likelihood decoder for the channel code provides a diversity ofd min as long as each transmitted code symbol is subjected to independent fading. This can be achieved by spacing the transmit antennas several wavelengths apart. The second scheme introduces deliberate resolvable multipath distortion by transmitting the data-bearing signal with antenna 1, andN−1 delayed versions of it with antennas 2 throughN. The delays are unique to each antenna and are chosen to be multiples of the symbol interval. At the receiver, a maximum likelihood sequence estimator resolves the multipath in an optimal manner to realize a diversity benefit ofN. Both schemes can suppress co-channel interference. We provide code constructions and simulation results for scheme 1 to demonstrate its merit. We derive the receiver structure and provide a bound on the error probability for scheme 2 which we show to be tight, by means of simulations, for the nontrivial and perhaps the most interesting caseN=2 antennas. The second scheme is backward-compatible with two of the proposed digital cellular system standards, viz., GSM for Europe and IS-54 for North America. read more read less

Topics:

Antenna diversity (68%)68% related to the paper, Cooperative diversity (61%)61% related to the paper, Fading (61%)61% related to the paper, Antenna (radio) (58%)58% related to the paper, Multipath propagation (57%)57% related to the paper
457 Citations
Journal Article DOI: 10.1023/A:1015399632291
Internet Connectivity for Ad Hoc Mobile Networks
Yuan Sun1, Elizabeth M. Belding-Royer1, Charles E. Perkins

Abstract:

The growing deployment rate of wireless LANs indicates that wireless networking is rapidly becoming a prevalent form of communication. As users become more accustomed to the use of mobile devices, they increasingly want the additional benefit of roaming. The Mobile IP protocol has been developed as a solution for allowing use... The growing deployment rate of wireless LANs indicates that wireless networking is rapidly becoming a prevalent form of communication. As users become more accustomed to the use of mobile devices, they increasingly want the additional benefit of roaming. The Mobile IP protocol has been developed as a solution for allowing users to roam outside of their home networks while still retaining network connectivity. The problem with this solution, however, is that the deployment of foreign agents is expensive because their coverage areas are limited due to fading and interference. To reduce the number of foreign agents needed while still maintaining the same coverage, ad hoc network functionality can cooperate with Mobile IP such that multihop routes between mobile nodes and foreign agents can be utilized. In this work, we present a method for enabling the cooperation of Mobile IP and the Ad hoc On-Demand Distance Vector (AODV) routing protocol, such that mobile nodes that are not within direct transmission range of a foreign agent can still obtain Internet connectivity. In addition, we describe how duplicate address detection can be used in these networks to obtain a unique co-located care-of address when a foreign agent is not available. read more read less

Topics:

Optimized Link State Routing Protocol (67%)67% related to the paper, Mobile ad hoc network (66%)66% related to the paper, Mobile computing (66%)66% related to the paper, Vehicular ad hoc network (65%)65% related to the paper, Ad hoc wireless distribution service (65%)65% related to the paper
287 Citations
Journal Article DOI: 10.1007/BF02106658
Multistage linear receivers for DS-CDMA systems
Shimon Moshavi1, Emmanuel G. Kanterakis, Donald L. Schilling

Abstract:

A new family of multistage low-complexity linear receivers for direct sequence code division multiple access (DS-CDMA) communications is introduced. The objective of the proposed design is to mitigate the effect of multiple access interference (MAI), the most significant limiting factor of user capacity in the conventional DS... A new family of multistage low-complexity linear receivers for direct sequence code division multiple access (DS-CDMA) communications is introduced. The objective of the proposed design is to mitigate the effect of multiple access interference (MAI), the most significant limiting factor of user capacity in the conventional DS-CDMA channel. The receivers presented here employ joint detection of multiple users and therefore require knowledge of all the signature codes and their timing. In addition, for a multipath environment, reliable estimates of the received powers and phases are assumed available for maximal ratio RAKE combining. Each stage of the underlying design recreates the overall modulation, noiseless channel, and demodulation process. The outputs of these stages are then linearly combined. The combining weights can be chosen to implement different linear detectors, including the decorrelating and minimum mean square error (MMSE) detectors. In this paper, we focus on implementing the MMSE detector. Simulation results illustrate that significant performance gains can be achieved in both synchronous and asynchronous systems. read more read less

Topics:

MIMO-OFDM (60%)60% related to the paper, Code division multiple access (58%)58% related to the paper, Minimum mean square error (57%)57% related to the paper, Demodulation (55%)55% related to the paper, Multipath propagation (54%)54% related to the paper
228 Citations
Journal Article DOI: 10.1023/A:1017925603986
The UMTS Turbo Code and an Efficient Decoder Implementation Suitable for Software-Defined Radios
Matthew C. Valenti1, Jian Sun1

Abstract:

This paper provides a description of the turbo code used by the UMTS third-generation cellular standard, as standardized by the Third-Generation Partnership Project (3GPP), and proposes an efficient decoder suitable for insertion into software-defined radio architectures or for use in computer simulations. Because the decoder... This paper provides a description of the turbo code used by the UMTS third-generation cellular standard, as standardized by the Third-Generation Partnership Project (3GPP), and proposes an efficient decoder suitable for insertion into software-defined radio architectures or for use in computer simulations. Because the decoder is implemented in software, rather than hardware, single-precision floating-point arithmetic is assumed and a variable number of decoder iterations is not only possible but desirable. Three twists on the well-known log-MAP decoding algorithm are proposed: (1) a linear approximation of the correction function used by the max* operator, which reduces complexity with only a negligible loss in BER performance; (2) a method for normalizing the backward recursion that yields a 12.5% savings in memory usage; and (3) a simple method for halting the decoder iterations based only on the log-likelihood ratios. read more read less

Topics:

Soft-decision decoder (73%)73% related to the paper, Turbo equalizer (59%)59% related to the paper, Turbo code (56%)56% related to the paper, Decoding methods (52%)52% related to the paper, UMTS frequency bands (51%)51% related to the paper
191 Citations
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Frequently asked questions

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5. Can I use a manuscript in International Journal of Wireless Information Networks that I have written in MS Word?

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13. What is Sherpa RoMEO Archiving Policy for International Journal of Wireless Information Networks?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for International Journal of Wireless Information Networks. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In International Journal of Wireless Information Networks?

The 5 most common citation types in order of usage for International Journal of Wireless Information Networks are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in International Journal of Wireless Information Networks Endnote style according to Elsevier guidelines.

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