Example of IEEE Transactions on Wireless Communications format
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Example of IEEE Transactions on Wireless Communications format Example of IEEE Transactions on Wireless Communications format Example of IEEE Transactions on Wireless Communications format Example of IEEE Transactions on Wireless Communications format Example of IEEE Transactions on Wireless Communications format
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Example of IEEE Transactions on Wireless Communications format Example of IEEE Transactions on Wireless Communications format Example of IEEE Transactions on Wireless Communications format Example of IEEE Transactions on Wireless Communications format Example of IEEE Transactions on Wireless Communications format
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IEEE Transactions on Wireless Communications — Template for authors

Publisher: IEEE
Categories Rank Trend in last 3 yrs
Applied Mathematics #6 of 548 up up by 1 rank
Computer Science Applications #14 of 693 -
Electrical and Electronic Engineering #23 of 693 up up by 4 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 2207 Published Papers | 33644 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 02/06/2020
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Related Journals

open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 7.2
SJR: 1.175
SNIP: 1.687
open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 8.7
SJR: 1.147
SNIP: 2.049
open access Open Access

Wiley

Quality:  
High
CiteRatio: 3.5
SJR: 0.364
SNIP: 0.883
open access Open Access

Inderscience Publishers

Quality:  
Medium
CiteRatio: 1.2
SJR: 0.191
SNIP: 0.477

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

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

6.779

6% from 2018

Impact factor for IEEE Transactions on Wireless Communications from 2016 - 2019
Year Value
2019 6.779
2018 6.394
2017 5.888
2016 4.951
graph view Graph view
table view Table view

15.2

1% from 2019

CiteRatio for IEEE Transactions on Wireless Communications from 2016 - 2020
Year Value
2020 15.2
2019 15.0
2018 11.5
2017 10.0
2016 9.5
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 6% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 1% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

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.

2.01

23% from 2019

SJR for IEEE Transactions on Wireless Communications from 2016 - 2020
Year Value
2020 2.01
2019 2.623
2018 1.692
2017 1.246
2016 1.369
graph view Graph view
table view Table view

2.43

0% from 2019

SNIP for IEEE Transactions on Wireless Communications from 2016 - 2020
Year Value
2020 2.43
2019 2.421
2018 2.592
2017 2.405
2016 2.259
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 23% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 0% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

IEEE Transactions on Wireless Communications

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IEEE

IEEE Transactions on Wireless Communications

Publishes timely, novel and high-quality recent results on Wireless Communications in letter format. Wireless Communications Letters have a 4-page limit. The journal's goal is rapid dissemination of original, cutting-edge ideas and timely, significant contributions in the theo...... Read More

Computer Science

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Last updated on
02 Jun 2020
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ISSN
1536-1276
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Impact Factor
Very High - 3.154
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
IEEEtran
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Citation Type
Numbered
[25]
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Bibliography Example
C. W. J. Beenakker, “Specular andreev reflection in graphene,” Phys. Rev. Lett., vol. 97, no. 6, p.

Top papers written in this journal

Journal Article DOI: 10.1109/TWC.2002.804190
An application-specific protocol architecture for wireless microsensor networks
Wendi Heinzelman1, Anantha P. Chandrakasan1, Hari Balakrishnan1

Abstract:

Networking together hundreds or thousands of cheap microsensor nodes allows users to accurately monitor a remote environment by intelligently combining the data from the individual nodes. These networks require robust wireless communication protocols that are energy efficient and provide low latency. We develop and analyze lo... Networking together hundreds or thousands of cheap microsensor nodes allows users to accurately monitor a remote environment by intelligently combining the data from the individual nodes. These networks require robust wireless communication protocols that are energy efficient and provide low latency. We develop and analyze low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality. LEACH includes a new, distributed cluster formation technique that enables self-organization of large numbers of nodes, algorithms for adapting clusters and rotating cluster head positions to evenly distribute the energy load among all the nodes, and techniques to enable distributed signal processing to save communication resources. Our results show that LEACH can improve system lifetime by an order of magnitude compared with general-purpose multihop approaches. read more read less

Topics:

Routing protocol (56%)56% related to the paper, Wireless Application Protocol (52%)52% related to the paper, Cluster analysis (51%)51% related to the paper, Wireless (50%)50% related to the paper, Network performance (50%)50% related to the paper
View PDF
10,296 Citations
Journal Article DOI: 10.1109/TWC.2010.092810.091092
Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas
Thomas L. Marzetta1

Abstract:

A cellular base station serves a multiplicity of single-antenna terminals over the same time-frequency interval. Time-division duplex operation combined with reverse-link pilots enables the base station to estimate the reciprocal forward- and reverse-link channels. The conjugate-transpose of the channel estimates are used as ... A cellular base station serves a multiplicity of single-antenna terminals over the same time-frequency interval. Time-division duplex operation combined with reverse-link pilots enables the base station to estimate the reciprocal forward- and reverse-link channels. The conjugate-transpose of the channel estimates are used as a linear precoder and combiner respectively on the forward and reverse links. Propagation, unknown to both terminals and base station, comprises fast fading, log-normal shadow fading, and geometric attenuation. In the limit of an infinite number of antennas a complete multi-cellular analysis, which accounts for inter-cellular interference and the overhead and errors associated with channel-state information, yields a number of mathematically exact conclusions and points to a desirable direction towards which cellular wireless could evolve. In particular the effects of uncorrelated noise and fast fading vanish, throughput and the number of terminals are independent of the size of the cells, spectral efficiency is independent of bandwidth, and the required transmitted energy per bit vanishes. The only remaining impairment is inter-cellular interference caused by re-use of the pilot sequences in other cells (pilot contamination) which does not vanish with unlimited number of antennas. read more read less

Topics:

Fading (61%)61% related to the paper, Channel state information (58%)58% related to the paper, Many antennas (57%)57% related to the paper, Spectral efficiency (55%)55% related to the paper, Base station (54%)54% related to the paper
6,248 Citations
open accessOpen access Journal Article DOI: 10.1109/TWC.2014.011714.130846
Spatially Sparse Precoding in Millimeter Wave MIMO Systems
Omar El Ayach1, Sridhar Rajagopal2, Shadi Abu-Surra2, Zhouyue Pi2, Robert W. Heath3

Abstract:

Millimeter wave (mmWave) signals experience orders-of-magnitude more pathloss than the microwave signals currently used in most wireless applications and all cellular systems. MmWave systems must therefore leverage large antenna arrays, made possible by the decrease in wavelength, to combat pathloss with beamforming gain. Bea... Millimeter wave (mmWave) signals experience orders-of-magnitude more pathloss than the microwave signals currently used in most wireless applications and all cellular systems. MmWave systems must therefore leverage large antenna arrays, made possible by the decrease in wavelength, to combat pathloss with beamforming gain. Beamforming with multiple data streams, known as precoding, can be used to further improve mmWave spectral efficiency. Both beamforming and precoding are done digitally at baseband in traditional multi-antenna systems. The high cost and power consumption of mixed-signal devices in mmWave systems, however, make analog processing in the RF domain more attractive. This hardware limitation restricts the feasible set of precoders and combiners that can be applied by practical mmWave transceivers. In this paper, we consider transmit precoding and receiver combining in mmWave systems with large antenna arrays. We exploit the spatial structure of mmWave channels to formulate the precoding/combining problem as a sparse reconstruction problem. Using the principle of basis pursuit, we develop algorithms that accurately approximate optimal unconstrained precoders and combiners such that they can be implemented in low-cost RF hardware. We present numerical results on the performance of the proposed algorithms and show that they allow mmWave systems to approach their unconstrained performance limits, even when transceiver hardware constraints are considered. read more read less

Topics:

Precoding (60%)60% related to the paper, MIMO (54%)54% related to the paper, Beamforming (54%)54% related to the paper
3,146 Citations
open accessOpen access Journal Article DOI: 10.1109/TWC.2019.2936025
Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming
Qingqing Wu1, Rui Zhang1

Abstract:

Intelligent reflecting surface (IRS) is a revolutionary and transformative technology for achieving spectrum and energy efficient wireless communication cost-effectively in the future. Specifically, an IRS consists of a large number of low-cost passive elements each being able to reflect the incident signal independently with... Intelligent reflecting surface (IRS) is a revolutionary and transformative technology for achieving spectrum and energy efficient wireless communication cost-effectively in the future. Specifically, an IRS consists of a large number of low-cost passive elements each being able to reflect the incident signal independently with an adjustable phase shift so as to collaboratively achieve three-dimensional (3D) passive beamforming without the need of any transmit radio-frequency (RF) chains. In this paper, we study an IRS-aided single-cell wireless system where one IRS is deployed to assist in the communications between a multi-antenna access point (AP) and multiple single-antenna users. We formulate and solve new problems to minimize the total transmit power at the AP by jointly optimizing the transmit beamforming by active antenna array at the AP and reflect beamforming by passive phase shifters at the IRS, subject to users’ individual signal-to-interference-plus-noise ratio (SINR) constraints. Moreover, we analyze the asymptotic performance of IRS’s passive beamforming with infinitely large number of reflecting elements and compare it to that of the traditional active beamforming/relaying. Simulation results demonstrate that an IRS-aided MIMO system can achieve the same rate performance as a benchmark massive MIMO system without using IRS, but with significantly reduced active antennas/RF chains. We also draw useful insights into optimally deploying IRS in future wireless systems. read more read less

Topics:

Beamforming (58%)58% related to the paper, MIMO (56%)56% related to the paper, Wireless network (54%)54% related to the paper, Active antenna (53%)53% related to the paper, Wireless (51%)51% related to the paper
View PDF
3,045 Citations
Journal Article DOI: 10.1109/TWC.2008.060869
Sensing-Throughput Tradeoff for Cognitive Radio Networks
Ying-Chang Liang1, Yonghong Zeng1, Edward Peh1, Anh Tuan Hoang1

Abstract:

In a cognitive radio network, the secondary users are allowed to utilize the frequency bands of primary users when these bands are not currently being used. To support this spectrum reuse functionality, the secondary users are required to sense the radio frequency environment, and once the primary users are found to be active... In a cognitive radio network, the secondary users are allowed to utilize the frequency bands of primary users when these bands are not currently being used. To support this spectrum reuse functionality, the secondary users are required to sense the radio frequency environment, and once the primary users are found to be active, the secondary users are required to vacate the channel within a certain amount of time. Therefore, spectrum sensing is of significant importance in cognitive radio networks. There are two parameters associated with spectrum sensing: probability of detection and probability of false alarm. The higher the probability of detection, the better the primary users are protected. However, from the secondary users' perspective, the lower the probability of false alarm, the more chances the channel can be reused when it is available, thus the higher the achievable throughput for the secondary network. In this paper, we study the problem of designing the sensing duration to maximize the achievable throughput for the secondary network under the constraint that the primary users are sufficiently protected. We formulate the sensing-throughput tradeoff problem mathematically, and use energy detection sensing scheme to prove that the formulated problem indeed has one optimal sensing time which yields the highest throughput for the secondary network. Cooperative sensing using multiple mini-slots or multiple secondary users are also studied using the methodology proposed in this paper. Computer simulations have shown that for a 6 MHz channel, when the frame duration is 100 ms, and the signal-to-noise ratio of primary user at the secondary receiver is -20 dB, the optimal sensing time achieving the highest throughput while maintaining 90% detection probability is 14.2 ms. This optimal sensing time decreases when distributed spectrum sensing is applied. read more read less

Topics:

Cognitive radio (59%)59% related to the paper, Throughput (business) (54%)54% related to the paper, Throughput (53%)53% related to the paper, Radio spectrum (52%)52% related to the paper, False alarm (51%)51% related to the paper
2,889 Citations
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IEEE Transactions on Wireless Communications format uses IEEEtran citation style.

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Frequently asked questions

1. Can I write IEEE Transactions on Wireless Communications in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the IEEE Transactions on Wireless Communications guidelines and auto format it.

2. Do you follow the IEEE Transactions on Wireless Communications guidelines?

Yes, the template is compliant with the IEEE Transactions on Wireless Communications guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in IEEE Transactions on Wireless Communications?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the IEEE Transactions on Wireless Communications citation style.

4. Can I use the IEEE Transactions on Wireless Communications templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for IEEE Transactions on Wireless Communications.

5. Can I use a manuscript in IEEE Transactions on Wireless Communications that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper IEEE Transactions on Wireless Communications that you can download at the end.

6. How long does it usually take you to format my papers in IEEE Transactions on Wireless Communications?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in IEEE Transactions on Wireless Communications.

7. Where can I find the template for the IEEE Transactions on Wireless Communications?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Transactions on Wireless Communications's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the IEEE Transactions on Wireless Communications's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. IEEE Transactions on Wireless Communications an online tool or is there a desktop version?

SciSpace's IEEE Transactions on Wireless Communications is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like IEEE Transactions on Wireless Communications?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like IEEE Transactions on Wireless Communications?”

11. What is the output that I would get after using IEEE Transactions on Wireless Communications?

After writing your paper autoformatting in IEEE Transactions on Wireless Communications, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is IEEE Transactions on Wireless Communications's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for IEEE Transactions on Wireless Communications?

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 IEEE Transactions on Wireless Communications. 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 IEEE Transactions on Wireless Communications?

The 5 most common citation types in order of usage for IEEE Transactions on Wireless Communications are:.

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

15. How do I submit my article to the IEEE Transactions on Wireless Communications?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Transactions on Wireless Communications's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download IEEE Transactions on Wireless Communications in Endnote format?

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 IEEE Transactions on Wireless Communications Endnote style according to Elsevier guidelines.

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