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EAI Endorsed Transactions on Wireless Spectrum

Editor(s)-in-Chief: Min Song and Wei Zhang

Scope

The EAI Transactions on Wireless Spectrum (TWS) is a scholarly archival journal committed to the timely publication of high-quality manuscripts on advancing the science and engineering of wireless radio spectrum. TWS seeks the state-of-the-art research on both theoretical contributions (including n…

The EAI Transactions on Wireless Spectrum (TWS) is a scholarly archival journal committed to the timely publication of high-quality manuscripts on advancing the science and engineering of wireless radio spectrum. TWS seeks the state-of-the-art research on both theoretical contributions (including new models, architectures, protocols, tools, concepts, and analyses) and practical contributions (including new techniques, prototypes, deployment, system experiments, and new applications). All submissions will go through a rigorous peer-review process.

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Topics

The general scope of the journal includes, but is not limited to, the following topics:

  • Spectrum sensing algorithm and white space modeling
  • Spectrum sharing architecture and mechanism
  • Spectrum-efficient design
  • Dynamic spectrum management
  • Spectrum pricing, auction and trading a…

The general scope of the journal includes, but is not limited to, the following topics:

  • Spectrum sensing algorithm and white space modeling
  • Spectrum sharing architecture and mechanism
  • Spectrum-efficient design
  • Dynamic spectrum management
  • Spectrum pricing, auction and trading a
  • Game theory for dynamic spectrum access
  • Spectrum mobility control
  • Reconfigurable wireless platforms
  • Medium access control design for cognitive radio networks
  • Spectrum agile and adaptive routing
  • Security of wireless systems in the context of spectrum sharing
  • Interference analysis, measurements and statistical models of spectrum usage
  • Coexistence with legacy wireless systems
  • Novel radio architectures and antennas
  • Simulation tools, testbeds, hardware and software prototypes
  • Regulation and standardization.
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Special Issues

Special Issue Editor: Chunsheng Xin (Old Dominion University, USA)

Call for Papers: [Special Issue on Emerging Technologies for Wireless Communications](https://escripts.eai.eu/publication/166-emerging-technologies…

Special Issue Editor: Chunsheng Xin (Old Dominion University, USA)

Call for Papers: Special Issue on Emerging Technologies for Wireless Communications (Submission Deadline: May 31, 2018)

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Editorial Board

  • Alhussein Abouzeid (Rensselaer Polytechnic Institute, USA)
  • AL-SAKIB KHAN PATHAN (SOUTHEAST UNIVERSITY, BANGLADESH)
  • Danijela Cabric (University of California, Los Angeles, USA)
  • Kaushik Chowdhury (Northeastern University, USA)

  • Lingyang Song (Peking Un…

  • Alhussein Abouzeid (Rensselaer Polytechnic Institute, USA)
  • AL-SAKIB KHAN PATHAN (SOUTHEAST UNIVERSITY, BANGLADESH)
  • Danijela Cabric (University of California, Los Angeles, USA)
  • Kaushik Chowdhury (Northeastern University, USA)
  • Lingyang Song (Peking University, China)
  • Maria-Gabriella Di Benedetto (University of Rome, Italy)
  • Qun Li (College of William & Mary, USA)
  • Rajarathnam Chandramouli (Stevens Institute of Technology, USA)
  • Rui Zhang (National University of Singapore, Singapore)
  • Shree Krishna Sharma (University of Luxembourg)
  • Shuguang Cui (Texas A&M University, USA)
  • Tommaso Melodia (State University of New York (SUNY) at Buffalo, USA)
  • Walid Saad (University of Miami, USA)
  • Wei Chen (Tsinghua University, China)
  • Xianbin Wang (University of Western Ontario, Canada)
  • Yaser Jararweh (Jordan University of Science and Technology)
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Submission Instructions
Publication Ethics and Malpractice Statement
Editors and Editorial Board
Publisher
ICST
ISSN
2312-6620
Volume
1
Published
11th Apr 2014

  • Spectrum Trading for Efficient Spectrum Utilization

    Research Article in EAI Endorsed Transactions on Wireless Spectrum 14(1): e1

    Cong Xiong, Geoffrey Ye Li, Lu Lu, Daquan Feng, Zhi Ding, Helena Mitchell

    Abstract
    The conventional command and control based spectrum management has led to substantial underutilization of some spectrum bands while severely crowding others due to the uneven and dynamic needs that v…The conventional command and control based spectrum management has led to substantial underutilization of some spectrum bands while severely crowding others due to the uneven and dynamic needs that vary over time and at different locations. Spectrum trading has emerged as a promising management approach to substantially improve spectrum utilization and user experience in wireless communications by taking advantage of market-based mechanisms. This article presents an overview of spectrum trading, including the fundamental characteristics of spectrum trading markets, the state-of-the-art techniques for modeling and resolving various spectrum trading issues, and trading based dynamic spectrum sharing and access. Moreover, some open issues in spectrum trading are identified for future research in this area.
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  • Spectrum Sensing and Primary User Localization in Cognitive Radio Networks via Sparsity

    Research Article in EAI Endorsed Transactions on Wireless Spectrum 14(1): e2

    Lanchao Liu, Zhu Han, Zhiqiang Wu, Lijun Qian

    Abstract
    The theory of compressive sensing (CS) has been employed to detect available spectrum resource in cognitive radio (CR) networks recently. Capitalizing on the spectrum resource underutilization and sp…The theory of compressive sensing (CS) has been employed to detect available spectrum resource in cognitive radio (CR) networks recently. Capitalizing on the spectrum resource underutilization and spatial sparsity of primary user (PU) locations, CS enables the identification of the unused spectrum bands and PU locations at a low sampling rate. Although CS has been studied in the cooperative spectrum sensing mechanism in which CR nodes work collaboratively to accomplish the spectrum sensing and PU localization task, many important issues remain unsettled. Does the designed compressive spectrum sensing mechanism satisfy the Restricted Isometry Property, which guarantees a successful recovery of the original sparse signal? Can the spectrum sensing results help the localization of PUs? What are the characteristics of localization errors? To answer those questions, we try to justify the applicability of the CS theory to the compressive spectrum sensing framework in this paper, and propose a design of PU localization utilizing the spectrum usage
    information. The localization error is analyzed by the Cramér-Rao lower bound, which can be exploited to
    improve the localization performance. Detail analysis and simulations are presented to support the claims
    and demonstrate the efficacy and efficiency of the proposed mechanism.
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  • Spectrum Sensing: To Cooperate or Not to Cooperate?

    Research Article in EAI Endorsed Transactions on Wireless Spectrum 14(1): e3

    Dongliang Duan, Liuqing Yang, Shuguang Cui

    Abstract
    While it is well accepted that cooperative spectrum sensing will significantly improve the sensing performance, the necessity of cooperation is not sufficiently appreciated. In this paper, by analyz…While it is well accepted that cooperative spectrum sensing will significantly improve the sensing
    performance, the necessity of cooperation is not sufficiently appreciated. In this paper, by analyzing the spectrum sensing problem from the system perspective, we show that without cooperation, the performance will suffer from a fundamental tradeoff between reliability and efficiency. However, if cooperation is incorporated in the spectrum sensing process and the threshold is selected appropriately, the efficiencyreliability tradeoff in the non-cooperative case can be largely overcome by exploiting the cooperative diversity. These results show that cooperation in spectrum sensing is not just a luxury but a necessity.
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  • Joint Spectrum Sensing and Resource Allocation for OFDM-based Transmission with a Cognitive Relay

    Research Article in EAI Endorsed Transactions on Wireless Spectrum 14(1): e4

    S. Eman Mahmoodi, K.P. Subbalakshmi, R. Chandramouli, Bahman Abolhassani

    Abstract
    In this paper, we investigate the joint spectrum sensing and resource allocation problem to maximize throughput capacity of an OFDM-based cognitive radio link with a cognitive relay. By applying a co…In this paper, we investigate the joint spectrum sensing and resource allocation problem to maximize throughput capacity of an OFDM-based cognitive radio link with a cognitive relay. By applying a cognitive relay that uses decode and forward (D&F), we achieve more reliable communications, generating less interference (by needing less transmit power) and more diversity gain. In order to account for imperfections in spectrum sensing, the proposed schemes jointly modify energy detector thresholds and allocates transmit powers to all cognitive radio (CR) subcarriers, while simultaneously assigning subcarrier pairs for secondary
    users (SU) and the cognitive relay. This problem is cast as a constrained optimization problem with constraints on (1) interference introduced by the SU and the cognitive relay to the PUs; (2) miss-detection and false alarm probabilities and (3) subcarrier pairing for transmission on the SU transmitter and the cognitive relay
    and (4) minimum Quality of Service (QoS) for each CR subcarrier. We propose one optimal and two suboptimal schemes all of which are compared to other schemes in the literature. Simulation results show that the proposed schemes achieve significantly higher throughput than other schemes in the literature for different
    relay situations.
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  • Alleviate Cellular Congestion Through Opportunistic Trough Filling

    Research Article in EAI Endorsed Transactions on Wireless Spectrum 14(1): e5

    Yichuan Wang, Xin Liu

    Abstract
    The demand for cellular data service has been skyrocketing since the debut of data-intensive smart phones and touchpads. However, not all data are created equal. Many popular applications on mobile d…The demand for cellular data service has been skyrocketing since the debut of data-intensive smart phones and touchpads. However, not all data are created equal. Many popular applications on mobile devices, such as email synchronization and social network updates, are delay tolerant. In addition, cellular load varies significantly in both large and small time scales. To alleviate network congestion and improve network performance, we present a set of opportunistic trough filling schemes that leverage the time-variation of network congestion and delay-tolerance of certain traffic in this paper. We consider average delay, deadline, and clearance time as the performance metrics. Simulation results show promising performance improvement over the standard schemes. The work shed lights on addressing the pressing issue of cellular overload.
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