# IEEE Transactions on Cognitive Communications and Networking

## Issue 4 • Dec. 2017

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## Filter Results

Displaying Results 1 - 22 of 22

Publication Year: 2017, Page(s):C1 - C4
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• ### IEEE Communications Society

Publication Year: 2017, Page(s): C2
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• ### An Introduction to Deep Learning for the Physical Layer

Publication Year: 2017, Page(s):563 - 575
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We present and discuss several novel applications of deep learning for the physical layer. By interpreting a communications system as an autoencoder, we develop a fundamental new way to think about communications system design as an end-to-end reconstruction task that seeks to jointly optimize transmitter and receiver components in a single process. We show how this idea can be extended to network... View full abstract»

• ### A Machine-Learning-Based Connectivity Model for Complex Terrain Large-Scale Low-Power Wireless Deployments

Publication Year: 2017, Page(s):576 - 584
| |PDF (2127 KB)

We evaluate the accuracy of a machine-learning-based path loss model trained on 42 157 324 RSSI samples collected over one year from an environmental wireless-sensor network using 2.4 GHz radios. The 2218 links in the network span a 2000 km2 basin and are deployed in a complex environment, with large variations of terrain attributes and vegetation coverage. Four candidate machine-learni... View full abstract»

• ### Performance Analysis of Co-Operative Beacon Sensing Strategies for Spatially Random Cognitive Users

Publication Year: 2017, Page(s):585 - 598
| |PDF (991 KB)

Primary user (PU) beacons must be detected by cognitive users (CUs) to access spectrum holes, and misdetection results in interference on PUs. To alleviate this problem, sensing results of spatially separated CUs can be combined to make a final decision. In this paper, we analyze several such co-operative beacon sensing (CBS) strategies given spatial randomness of CU and PU nodes, which is modeled... View full abstract»

• ### Enhancing PHY Security of Cooperative Cognitive Radio Multicast Communications

Publication Year: 2017, Page(s):599 - 613
| |PDF (1407 KB)

In this paper, we propose a cooperative approach to improve the security of both primary and secondary systems in cognitive radio multicast communications. During their access to the frequency spectrum licensed to the primary users, the secondary unlicensed users assist the primary system in fortifying security by sending a jamming noise to the eavesdroppers, while simultaneously protect themselve... View full abstract»

• ### On Secrecy Outage of Relay Selection in Underlay Cognitive Radio Networks Over Nakagami- $m$ Fading Channels

Publication Year: 2017, Page(s):614 - 627
| |PDF (1528 KB)

In this paper, the secrecy outage performance of an underlay cognitive decode-and-forward relay network over independent but not necessarily identical distributed Nakagami- ${m}$ fading channels is investigated, in which the secondary user transmitter communicates with the secondary destination via relays, and an eavesdropper ... View full abstract»

Publication Year: 2017, Page(s):628 - 642
| |PDF (1969 KB)

To improve spectrum utilization, cognitive radio (CR) is introduced to detect and exploit available spectrum resources autonomously. The flexible spectrum use imposes special challenges on broadcast because different CR devices may have different available spectrum fragments at different locations. The transmitter and the receivers have to agree on spectrum fragments that will be used for broadcas... View full abstract»

• ### Maximizing Energy Efficiency of Cognitive Wireless Sensor Networks With Constrained Age of Information

Publication Year: 2017, Page(s):643 - 654
| |PDF (1148 KB)

A cognitive wireless sensor network is considered, where a cluster of secondary sensors utilize channel vacancies of a primary network and transmit their measurement samples to a common sink node. We propose a joint framing and scheduling policy that optimizes energy efficiency of communication system under strict constraints on the expected age of information. The age of information is defined as... View full abstract»

• ### Coexistence of WLAN Network With Radar: Detection and Interference Mitigation

Publication Year: 2017, Page(s):655 - 667
| |PDF (2188 KB)

Coexistence between 802.11 wireless local area network (WLAN) and radars operating in co/adjacent channel scenarios (notably 5GHz) is a problem of considerable importance that requires new innovations. We propose a modified Wi-Fi link design that mitigates the interference from a pulsed search radar such that the WLAN network continues to operate outside the exclusion region. For low density parit... View full abstract»

• ### On the Performance of Cognitive Satellite-Terrestrial Networks

Publication Year: 2017, Page(s):668 - 683
| |PDF (1493 KB)

We investigate the performance of a multi-beam cognitive satellite terrestrial network in which a secondary network (mobile terrestrial system) shares resources with a primary satellite network given that the interference temperature constraint is satisfied. The terrestrial base stations (BSs) and satellite users are modeled as independent homogeneous Poisson point processes. Utilizing tools from ... View full abstract»

• ### Designing a Self-Optimization System for Cognitive Wireless Home Networks

Publication Year: 2017, Page(s):684 - 702
| |PDF (4096 KB)

In this paper, we describe the design and implementation of an extensible and flexible self-optimization framework for cognitive home networks that employs cognitive wireless networking and agent-based design principles. We provide a “first-principles” derivation of its architecture based on a careful analysis of user requirements on wireless home networks (WHNs), state the related d... View full abstract»

• ### D-DASH: A Deep Q-Learning Framework for DASH Video Streaming

Publication Year: 2017, Page(s):703 - 718
| |PDF (2679 KB)

The ever-increasing demand for seamless high-definition video streaming, along with the widespread adoption of the dynamic adaptive streaming over HTTP (DASH) standard, has been a major driver of the large amount of research on bitrate adaptation algorithms. The complexity and variability of the video content and of the mobile wireless channel make this an ideal application for learning approaches... View full abstract»

• ### Spectrum Auctions Under Physical Interference Model

Publication Year: 2017, Page(s):719 - 728
| |PDF (1012 KB)

Spectrum auctions provide a platform for licensed spectrum users to share their underutilized spectrum with unlicensed users. Existing spectrum auctions either adopt the protocol interference model to characterize interference relationship as binary relationship or only lease channels that are not used by the primary user (PU) to secondary users (SUs). In this paper, we design spectrum auctions un... View full abstract»

• ### Introduction to the Special Section From the IEEE ICC 2017 Symposium on Cognitive Radio and Networks

Publication Year: 2017, Page(s):729 - 730
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• ### RF-Spectrum Opportunities for Cognitive Radio Networks Operating Over GSM Channels

Publication Year: 2017, Page(s):731 - 739
| |PDF (1087 KB)

In this paper, we characterize the radio frequency spectrum opportunities available in a common global system for mobile communications (GSM) channel to support the operation of a cognitive radio network (CRN). In a first step, we describe the technical details involved to sample the channel using a software defined radio device. Adopting a simple energy-based detector, we identify the two energy ... View full abstract»

• ### Dynamic Spectrum Access Algorithms Based on Survival Analysis

Publication Year: 2017, Page(s):740 - 751
| |PDF (1849 KB)

In this study, we design and implement two algorithms for dynamic spectrum access that are based on survival analysis. They use a non-parametric estimate of the cumulative hazard function to predict the remaining idle time available for secondary transmission subject to the constraint of a preset probability of successful completion. In addition to theoretical performance analysis of the algorithm... View full abstract»

• ### Performance Study of a UCRN Over Nakagami- ${m}$ Fading Channels in the Presence of CCI

Publication Year: 2017, Page(s):752 - 765
| |PDF (1110 KB)

In this paper, the impact of co-channel interference (CCI) on the performance of an underlay cognitive radio network over Nakagami- ${m}$ fading channels is thoroughly presented and analysed. More precisely, a decode-and-forward relay protocol for a cognitive cooperative network is considered. In this study, the impact of both... View full abstract»

• ### Joint Stochastic Geometry and Mean Field Game Optimization for Energy-Efficient Proactive Scheduling in Ultra Dense Networks

Publication Year: 2017, Page(s):766 - 781
| |PDF (1916 KB)

In this paper, we investigate the energy efficiency performance of optimal proactive scheduling strategies in the context of ultra-dense networks. The network consists of a superposition of homogeneous Poisson point process, whereas the users requests follow a space-time homogeneous point process. The objective is to define the optimal transmission powers at any time, that allows to completely ser... View full abstract»

• ### Prioritizing Data/Energy Thresholding-Based Antenna Switching for SWIPT-Enabled Secondary Receiver in Cognitive Radio Networks

Publication Year: 2017, Page(s):782 - 800
| |PDF (1363 KB)

Simultaneous wireless power and information transfer is considered in cognitive radio networks with a multi-antenna energy harvesting (EH) secondary receiver (SR). The SR harvests the energy from the secondary transmitter and primary transmitter. The SR uses the antenna switching (AS) technique which selects a subset of antennas to decode the information [namely, the information decoding (ID) ante... View full abstract»

• ### 2017 IndexIEEE Transactions on Cognitive Communications and NetworkingVol. 3

Publication Year: 2017, Page(s):801 - 812
| |PDF (111 KB)
• ### IEEE Communications Society

Publication Year: 2017, Page(s): C3
| |PDF (71 KB)

## Aims & Scope

The IEEE Transactions on Cognitive Communications and Networking (TCCN) is committed to timely publishing of high-quality manuscripts that advance to the state-of-the-art of cognitive communications and networking research. Cognitive in this context means the applications of perception, learning, reasoning, memory and adaptive approaches in the design of communication systems. The transactions will consider submissions in the broad area of cognitive communications and networks, with an emphasis on taking holistic and possibly trans-disciplinary approach on design of complex communications systems. The core topics covered include (but are not limited to): architecture, protocols, cross-layer, and cognition cycle design for cognitive networks, machine learning and artificial intelligence for cognitive communications and networks, end-to-end and distributed intelligence at and beyond all layers of communications, software-defined networking, cognitive radios, spectrum sharing, trading and relevant economical aspects of networks, security and privacy issues in cognitive networks, novel emerging services and applications enabled by such concepts.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief:
Prof. Michele Zorzi
Department of Information Engineering