IEEE Transactions on Signal and Information Processing over Networks

Issue 2 • June 2015

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  • Table of Contents

    Publication Year: 2015, Page(s): C1
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  • IEEE Transactions on Signal and Information Processing over Networks publication information

    Publication Year: 2015, Page(s): C2
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  • Joint Sequential Target Estimation and Clock Synchronization in Wireless Sensor Networks

    Publication Year: 2015, Page(s):74 - 88
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1204 KB) | HTML iconHTML

    We propose a method to jointly estimate sequential target states and network synchronization status based on observations obtained by an unsynchronized wireless sensor network. We build an unsynchronized multi-sensor state-space model to connect asynchronous observations with target state transition. Under the built model, we solve the joint estimation problem via the expectation-maximum (EM) algo... View full abstract»

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  • Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing

    Publication Year: 2015, Page(s):89 - 103
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (663 KB) | HTML iconHTML

    Migrating computational intensive tasks from mobile devices to more resourceful cloud servers is a promising technique to increase the computational capacity of mobile devices while saving their battery energy. In this paper, we consider an MIMO multicell system where multiple mobile users (MUs) ask for computation offloading to a common cloud server. We formulate the offloading problem as the joi... View full abstract»

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  • Optimal Forwarding in Opportunistic Delay Tolerant Networks With Meeting Rate Estimations

    Publication Year: 2015, Page(s):104 - 116
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (957 KB) | HTML iconHTML

    Data transfer in opportunistic delay tolerant networks (DTNs) must rely on unscheduled sporadic meetings between nodes. The main challenge in these networks is to develop a mechanism based on which nodes can learn to make nearly optimal forwarding decision rules despite having no apriori knowledge of the network topology. The forwarding mechanism should ideally result in a high-delivery probabilit... View full abstract»

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  • Adaptive Distributed Beamforming for Relay Networks Based on Local Channel State Information

    Publication Year: 2015, Page(s):117 - 128
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1003 KB) | HTML iconHTML

    Most of the existing distributed beamforming algorithms for relay networks require global channel state information (CSI) at relay nodes and the overall computational complexity is high. In this paper, a new class of adaptive algorithms is proposed which can achieve a globally optimum solution by employing only local CSI. A reference signal based (RSB) scheme is first derived, followed by a consta... View full abstract»

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  • On the Achievable Performance-Complexity Tradeoffs of Relay-Aided Space Shift Keying

    Publication Year: 2015, Page(s):129 - 144
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1302 KB) | HTML iconHTML

    Future cellular networks require transmission technologies and protocols that are energy-efficient, and that can meet the growing demands of mobile data traffic with the best performance versus complexity tradeoff. The recently proposed singleRF space shift keying (SSK-) multiple-input-multiple-output (MIMO) transmission scheme is one of such physical layer technology that satisfies these criteria... View full abstract»

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  • IEEE Transactions on Signal and Information Processing over Networks Edics

    Publication Year: 2015, Page(s): 145
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  • IEEE Transactions on Signal and Information Processing over Networks information for authors

    Publication Year: 2015, Page(s):146 - 147
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  • IEEE Signal Processing Society Information

    Publication Year: 2015, Page(s): C3
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Aims & Scope

The IEEE Transactions on Signal and Information Processing over Networks publishes high-quality papers that extend the classical notions of processing of signals defined over vector spaces (e.g. time and space) to processing of signals and information (data) defined over networks, potentially dynamically varying. In signal processing over networks, the topology of the network may define structural relationships in the data, or may constrain processing of the data. Topics include distributed algorithms for filtering, detection, estimation, adaptation and learning, model selection, data fusion, and diffusion or evolution of information over such networks, and applications of distributed signal processing.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Petar Djuric
Stony Brook University, Electrical & Computer Engineering
Light Engineering, Room 245
Stony Brook, NY
11794-2350
USA
+1 631-632-8423
Fax: +1 631-632-8494
petar.djuric@stonybrook.edu