IEEE Transactions on Wireless Communications Journal Impact Factor & Information

Publisher: Institute of Electrical and Electronics Engineers; IEEE Communications Society; IEEE Signal Processing Society, Institute of Electrical and Electronics Engineers

Journal description

The IEEE Transactions on Wireless Communications is a major archival journal which will be committed to the timely publication of very high-quality, peer-reviewed, original papers that advance the state-of-the art and applications of wireless communications. Topics of interest include the following: Broadband wireless communications, Network architectures and protocols, Adaptive antennas for wireless systems, Multiple access techniques, Modulation and coding, Multirate and multicarrier communications, Detection and estimation, Space-time processing, Diversity techniques and equalization, Synchronization techniques, Propagation and channel characterization, Software radio, Fading countermeasures, Resource allocation and interference management, Multiuser detection, Security, privacy, and authentication, Signal separation and interference rejection, Experimental and prototype results, DSP applications to wireless systems, Wireless multimedia communications. Systems and services including mobile satellites, wireless local loops, wireless LANs, and PCS/cellular. In addition, papers on specific topics or on more non-traditional topics related to specific application areas, are encouraged. Examples include Simulation tools and methodologies for design, analysis, rapid prototyping, performance prediction, and cellular system engineering; Orthogonal frequency division multiplexing; MIMO systems, and Wireless over optical.

Current impact factor: 2.76

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 2.762
2012 Impact Factor 2.418
2011 Impact Factor 2.586
2010 Impact Factor 2.152
2009 Impact Factor 1.903
2008 Impact Factor 2.181
2007 Impact Factor 1.234
2006 Impact Factor 1.184
2005 Impact Factor 1.395
2004 Impact Factor 1.649
2003 Impact Factor 1.232

Impact factor over time

Impact factor
Year

Additional details

5-year impact 2.74
Cited half-life 4.50
Immediacy index 0.21
Eigenfactor 0.06
Article influence 1.19
Website IEEE Transactions on Wireless Communications website
Other titles IEEE transactions on wireless communications, Wireless communications
ISSN 1536-1276
OCLC 47360896
Material type Periodical, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publisher details

Institute of Electrical and Electronics Engineers

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Author's pre-print on Author's personal website, employers website or publicly accessible server
    • Author's post-print on Author's server or Institutional server
    • Author's pre-print must be removed upon publication of final version and replaced with either full citation to IEEE work with a Digital Object Identifier or link to article abstract in IEEE Xplore or replaced with Authors post-print
    • Author's pre-print must be accompanied with set-phrase, once submitted to IEEE for publication ("This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible")
    • Author's pre-print must be accompanied with set-phrase, when accepted by IEEE for publication ("(c) 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.")
    • IEEE must be informed as to the electronic address of the pre-print
    • If funding rules apply authors may post Author's post-print version in funder's designated repository
    • Author's Post-print - Publisher copyright and source must be acknowledged with citation (see above set statement)
    • Author's Post-print - Must link to publisher version with DOI
    • Publisher's version/PDF cannot be used
    • Publisher copyright and source must be acknowledged
  • Classification
    ​ green

Publications in this journal

  • IEEE Transactions on Wireless Communications 12/2016;
  • IEEE Transactions on Wireless Communications 06/2016;
  • IEEE Transactions on Wireless Communications 12/2015;
  • IEEE Transactions on Wireless Communications 12/2015;
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper considers the problem of intelligent jamming attack on a MIMO wireless communication link with a transmitter, a receiver, and an adversarial jammer, each equipped with multiple antennas. We present an optimal jamming signal design which can maximally disrupt the MIMO transmission when the transceiver adopts an anti-jamming mechanism. In particular, signal-to-jamming-plus-noise ratio (SJNR) at the receiver is used as the anti-jamming reliability metric of the legitimate MIMO transmission. The jamming signal design is developed under the most crucial scenario for the jammer where the legitimate transceiver adopt jointly designed maximum-SJNR transmit beamforming and receive filter to suppress/mitigate the disturbance from the jammer. Under this best anti-jamming scheme, we aim to optimize the jamming signal to minimize the receiver’s maximum-SJNR under a given jamming power budget. The optimal jamming signal designs are developed in different cases with accordance to the availability of channel state information (CSI) at the jammer. The analytical approximations of the jamming performance in terms of average maximum- SJNR are also provided. Extensive simulation studies confirm our analytical predictions and illustrate the efficiency of the designed optimal jamming signal on disrupting MIMO communications.
    IEEE Transactions on Wireless Communications 09/2015; DOI:10.1109/TWC.2015.2436385
  • IEEE Transactions on Wireless Communications 08/2015; DOI:10.1109/TWC.2015.2417155
  • [Show abstract] [Hide abstract]
    ABSTRACT: Considering the time-varying K-user single-antenna interference channel (IC), it has been shown that, when terminals have perfect global channel state information (CSI) and they can tolerate asymptotically long delay, applying an ergodic interference alignment (EIA) scheme can achieve half of the interference-free achievable rate. However, in practice obtaining such CSI is challenging, and only a limited delay is acceptable. This paper addresses data transmission over the IC by taking these concerns into account. Specifically, we consider the case that each transmitter attains only quantized CSI via limited feedback signals. This causes imperfect interference alignment and a degraded performance. We propose adaptive schemes to compensate the impact of the CSI uncertainties. We first study a power control problem which concerns how to communicate at fixed rates using minimum transmit powers. A power control algorithm is used to reach the solution. Next, we address a throughput maximization problem when the transmit powers are fixed. Through the analysis of system outage probability, we propose a rate adaptation scheme to maximize throughput. Finally, we quantify the throughput loss in delay-limited systems. Our results show that, even with limited feedback, performing the EIA scheme with proper power control or rate adaptation strategies can still outperform conventional orthogonal transmission approaches.
    IEEE Transactions on Wireless Communications 07/2015; DOI:10.1109/TWC.2015.2457925
  • [Show abstract] [Hide abstract]
    ABSTRACT: Energy efficiency has been the driving force behind the design of communication protocols for battery-constrained wireless sensor networks (WSNs). The energy efficiency and the performance of the proposed protocol stacks, however, degrade dramatically in case the low-powered WSNS are subject to interference from high-power wireless systems such as WLANs. In this paper we propose COG-MAC, a novel cognitive medium access control scheme (MAC) for IEEE 802.15.4-compliant WSNS that minimizes the energy cost for multihop communications, by deriving energy-optimal packet lengths and single-hop transmission distances based on the experienced interference from IEEE 802.11 WLANs. We evaluate COG-MAC by deriving a detailed analytic model for its performance and by comparing it with previous access control schemes. Numerical and simulation results show that a significant decrease in packet transmission energy cost, up to 66%, can be achieved in a wide range of scenarios, particularly under severe WLAN interference. COG-MAC is, also, lightweight and shows high robustness against WLAN model estimation errors and is, therefore, an effective, implementable solution to reduce the WSN performance impairment when coexisting with WLANs.
    IEEE Transactions on Wireless Communications 07/2015; 14(7):1-1. DOI:10.1109/TWC.2015.2416336
  • [Show abstract] [Hide abstract]
    ABSTRACT: Wireless underground sensor networks (WUSNs) enable many applications such as underground pipeline monitoring, power grid maintenance, mine disaster prevention, and oil upstream monitoring among many others. While the classical electromagnetic waves do not work well in WUSNs, the magnetic induction (MI) propagation technique provides constant channel conditions via small size of antenna coils in the underground environments. In this paper, instead of adopting currently layered protocols approach, a distributed cross-layer protocol design is proposed for MI-based WUSNs. First, a detailed overview is given for different communication functionalities from physical to network layers as well as the QoS requirements of applications. Utilizing the interactions of different layer functionalities, a distributed environment-aware protocol, called DEAP, is then developed to satisfy statistical QoS guarantees and achieve both optimal energy savings and throughput gain concurrently. Simulations confirm that the proposed cross-layer protocol achieves significant energy savings, high throughput efficiency and dependable MI communication for WUSNs.
    IEEE Transactions on Wireless Communications 07/2015; 14(7):1-1. DOI:10.1109/TWC.2015.2415812
  • [Show abstract] [Hide abstract]
    ABSTRACT: In our basic model, we study a stationary Poisson pattern of nodes on a line embedded in an independent planar Poisson field of interfering nodes. Assuming slotted Aloha and the signal-to-interference-and-noise ratio capture condition, with the usual power-law path loss model and Rayleigh fading, we explicitly evaluate several local and end-to-end performance characteristics related to the nearest-neighbor packet relaying on this line, and study their dependence on the model parameters (the density of relaying and interfering nodes, Aloha tuning and the external noise power). Our model can be applied in two cases. The first use is for vehicular ad-hoc networks, where vehicles are randomly located on a straight road. The second use is to study a “typical” route traced in a (general) planar ad-hoc network by some routing mechanism. The approach we have chosen allows us to quantify the non-efficiency of long-distance routing in “pure ad-hoc” networks and evaluate a possible remedy for it in the form of additional “fixed” relaying nodes, called road-side units in a vehicular network. It also allows us to consider a more general field of interfering nodes and study the impact of the clustering of its nodes on the routing performance. As a special case of a field with more clustering than the Poison field, we consider a Poisson-line field of interfering nodes, in which all the nodes are randomly located on random straight lines. In this case, our analysis rigorously (in the sense of Palm theory) corresponds to the typical route of this network. The comparison to our basic model reveals a paradox: clustering of interfering nodes decreases the outage probability of a single (typical) transmission on the route, but increases the mean end-to-end delay.
    IEEE Transactions on Wireless Communications 07/2015; 14(7):1-1. DOI:10.1109/TWC.2015.2409845
  • [Show abstract] [Hide abstract]
    ABSTRACT: In mobile cloud computing systems, cloud computing has a significant impact on wireless networks. Cloud computing and wireless networks have traditionally been addressed separately in the literature. In this paper, we jointly study the operations of cloud computing and wireless networks in mobile computing environments, where the objective is to improve the end-to-end performances of cloud mobile media delivered through mobile cloud computing systems. Unlike most existing studies on wireless networks, where only the spectrum efficiency is considered, we consider not only the spectrum efficiency in wireless networks but also the pricing information in the cloud, based on which power allocation and interference management in the wireless networks are performed. We formulate the problems encountered in the operations of mobile cloud computing environments, including determining the price to charge for media services, resource allocation, and interference management, as a Stackelberg game model. Moreover, we extend this game model with multiple players through network virtualization technology, and adopt the replicator dynamics method to solve the evolutionary game between the different groups of small cells. Furthermore, a backward induction method is used to analyze the proposed Stackelberg game. Simulation results are presented to show the effectiveness of the proposed techniques.
    IEEE Transactions on Wireless Communications 07/2015; 14(7):1-1. DOI:10.1109/TWC.2015.2416177