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John Matyjas

Also published under: John D. Matyjas, J. D. Matyjas, J. Matyjas

Publications
96
Citations
1,314
Publications by Year
20022018
Co-Authors:
Show All Co-Authors (95)
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John Matyjas

Also published under: John D. Matyjas, J. D. Matyjas, J. Matyjas

Affiliation

Information Directorate
Air Force Research Laboratory
Rome, NY, USA

Publication Topics

Biography

John D. Matyjas received the Ph.D. degree in electrical engineering from The State University of New York at Buffalo, Buffalo, NY, USA, in 2004. He has been with the Air Force Research Laboratory, Rome, NY, USA, serving as the Technical Advisor for the Computing and Communications Division and performing R&D in the areas of wireless communications and networking. His research interests include dynamic multiple-access communications and networking, spectrum mutability, statistical signal processing and optimization, and neural networks. Additionally, he serves as the U.S. National Lead for The Technical Cooperation Program, an International C3I Group. He served on the IEEE Transactions on Wireless Communications Editorial Advisory Board (201...
Publications
96
Citations
1,314
Publications by Year
20022018
Co-Authors:
Show All Co-Authors (95)
Author's Published Works

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Realizing Green Symbol Detection via Reservoir Computing: An Energy-Efficiency Perspective

Rubayet Shafin;Lingjia Liu;Jonathan Ashdown;John Matyjas;Michael Medley;Bryant Wysocki;Yang Yi

2018 IEEE International Conference on Communications (ICC)
Year: 2018 | Conference Paper |
Cited by: Papers (14)
Reservoir Computing (RC) is a class of machine learning approaches that is suitable for prediction tasks with low computational complexity. In this paper, an RC-based symbol detection for MIMO- OFDM systems is presented where RC is realized through the echo state network (ESN). Detailed energy-efficiency analysis is conducted to characterize the energy-efficiency of the introduced symbol detector....Show More

Realizing Green Symbol Detection via Reservoir Computing: An Energy-Efficiency Perspective

Rubayet Shafin;Lingjia Liu;Jonathan Ashdown;John Matyjas;Michael Medley;Bryant Wysocki;Yang Yi

Year: 2018 | Conference Paper |

On the Channel Estimation of Multi-Cell Massive FD-MIMO Systems

Rubayet Shafin;Lingjia Liu;Jonathan Ashdown;John Matyjas;Jianzhong Zhang

2018 IEEE International Conference on Communications (ICC)
Year: 2018 | Conference Paper |
Cited by: Papers (3)
While massive multiple-input multiple-output system (MIMO) promises to provide substantial increase in spectral efficiency-per- cell, due to high dimensionality, estimating its channel is considered as one of the major challenges towards extracting all the benefits of such large antenna systems. In this paper, based on parametric channel modeling, we present a direction of arrival (DoA) estimation...Show More

On the Channel Estimation of Multi-Cell Massive FD-MIMO Systems

Rubayet Shafin;Lingjia Liu;Jonathan Ashdown;John Matyjas;Jianzhong Zhang

Year: 2018 | Conference Paper |

Airborne Cognitive Networking: Design, Development, and Deployment

George Sklivanitis;Adam Gannon;Konstantinos Tountas;Dimitris A. Pados;Stella N. Batalama;Stephen Reichhart;Michael Medley;Ngwe Thawdar;Ulysses Lee;John D. Matyjas;Scott Pudlewski;Andrew Drozd;Ashwin Amanna;Fred Latus;Zachary Goldsmith;David Diaz

IEEE Access
Year: 2018 | Volume: 6 | Journal Article |
Cited by: Papers (24)
We design, develop, and experimentally validate a complete integrated software/hardware platform for airborne cognitive networking in both indoor and outdoor environments. We first present the concept of all-spectrum cognitive networking and describe a distributed algorithm for maximizing network spectral efficiency by jointly optimizing channel access code-waveforms and routes in a multi-hop netw...Show More

Airborne Cognitive Networking: Design, Development, and Deployment

George Sklivanitis;Adam Gannon;Konstantinos Tountas;Dimitris A. Pados;Stella N. Batalama;Stephen Reichhart;Michael Medley;Ngwe Thawdar;Ulysses Lee;John D. Matyjas;Scott Pudlewski;Andrew Drozd;Ashwin Amanna;Fred Latus;Zachary Goldsmith;David Diaz

Year: 2018 | Volume: 6 | Journal Article |

Intelligent Software-Defined Mesh Networks With Link-Failure Adaptive Traffic Balancing

Ke Bao;John D. Matyjas;Fei Hu;Sunil Kumar

IEEE Transactions on Cognitive Communications and Networking
Year: 2018 | Volume: 4, Issue: 2 | Journal Article |
Cited by: Papers (37)
In the software defined networking (SDN)-based wireless mesh network (WMN) architecture (SD-WMN), the network is monitored and managed in a centralized manner. Although the use of SDN simplifies the WMN management, it is still not clear whether the SDN architecture, which was originally designed for wired links, can effectively handle the dynamic topology of WMNs. This paper addresses the traffic ...Show More

Intelligent Software-Defined Mesh Networks With Link-Failure Adaptive Traffic Balancing

Ke Bao;John D. Matyjas;Fei Hu;Sunil Kumar

Year: 2018 | Volume: 4, Issue: 2 | Journal Article |

A Physical Layer Security Scheme for Mobile Health Cyber-Physical Systems

Rachad Atat;Lingjia Liu;Jonathan Ashdown;Michael J. Medley;John D. Matyjas;Yang Yi

IEEE Internet of Things Journal
Year: 2018 | Volume: 5, Issue: 1 | Journal Article |
Cited by: Papers (28)
Mobile health (m-Health) is one potential application of cyber-physical systems, where biomedical sensors and mobile devices interact tightly together to transmit medical data to an m-Health server. In this paper, we consider a three-tier hierarchical m-Health system: 1) the sensor network tier capturing vital signals; 2) the mobile computing network tier processing and routing the sensed data to ...Show More

A Physical Layer Security Scheme for Mobile Health Cyber-Physical Systems

Rachad Atat;Lingjia Liu;Jonathan Ashdown;Michael J. Medley;John D. Matyjas;Yang Yi

Year: 2018 | Volume: 5, Issue: 1 | Journal Article |

Channel/Beam Handoff Control in Multi-Beam Antenna Based Cognitive Radio Networks

Koushik A.M.;John D. Matyjas;Fei Hu;Sunil Kumar

IEEE Transactions on Cognitive Communications and Networking
Year: 2018 | Volume: 4, Issue: 1 | Journal Article |
Cited by: Papers (5)
A novel spectrum handoff scheme, called feature stacking (FEAST) is proposed to achieve the optimal “channel + beam” handoff (CBH) control in cognitive radio networks (CRNs) with multi-beam smart antennas. FEAST uses the online supervised learning based on the support vector machine to maximize the long-term quality of experience of user data. The spectrum handoff uses the mixed preemptive/non-pre...Show More

Channel/Beam Handoff Control in Multi-Beam Antenna Based Cognitive Radio Networks

Koushik A.M.;John D. Matyjas;Fei Hu;Sunil Kumar

Year: 2018 | Volume: 4, Issue: 1 | Journal Article |

Joint network coding and backpressure algorithm for cognitive radio networks

Sohraab Soltani;Yalin E. Sagduyu;Sean Scanlon;Yi Shi;Jason Li;Jared Feldman;John D. Matyjas

MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM)
Year: 2017 | Conference Paper |
Cited by: Papers (4)
This paper presents the joint design of network coding and backpressure algorithm for cognitive radio networks and its implementation with software-defined radios (SDRs) in a high fidelity network emulation testbed. The backpressure algorithm is known to provide throughput optimal solutions to joint routing and scheduling for dynamic packet traffic. This solution applies to cognitive radio network...Show More

Joint network coding and backpressure algorithm for cognitive radio networks

Sohraab Soltani;Yalin E. Sagduyu;Sean Scanlon;Yi Shi;Jason Li;Jared Feldman;John D. Matyjas

Year: 2017 | Conference Paper |

Hybrid-ARQ Protocol Design with Optimal Time and Power Allocation

Kaiying Sun;Weifeng Su;John D. Matyjas;Michael J. Medley

2017 IEEE Wireless Communications and Networking Conference (WCNC)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
In this paper, an optimal power and time assignment strategy is developed for hybrid automatic-repeat-request (H-ARQ) communication protocol over quasi-static Rayleigh fading channels. For any given average total time duration and energy budget, we try to find the sequences of power values and time durations for H-ARQ retransmission rounds that minimize the outage probability of the H-ARQ protocol...Show More

Hybrid-ARQ Protocol Design with Optimal Time and Power Allocation

Kaiying Sun;Weifeng Su;John D. Matyjas;Michael J. Medley

Year: 2017 | Conference Paper |

Apprenticeship Learning Based Spectrum Decision in Multi-Channel Wireless Mesh Networks with Multi-Beam Antennas

Yeqing Wu;Fei Hu;Sunil Kumar;John D. Matyjas;Qingquan Sun;Yingying Zhu

IEEE Transactions on Mobile Computing
Year: 2017 | Volume: 16, Issue: 2 | Journal Article |
Cited by: Papers (17)
We propose a novel spectrum decision scheme (i.e., channel selection and handoff) for wireless mesh networks (WMN) which use multiple channels and nodes equipped with multi-beam directional antennas. Our scheme has the following features: (i) It performs spectrum decision by considering various WMN parameters, including the channel quality, beam orientation, antenna-caused deafness and capture eff...Show More

Apprenticeship Learning Based Spectrum Decision in Multi-Channel Wireless Mesh Networks with Multi-Beam Antennas

Yeqing Wu;Fei Hu;Sunil Kumar;John D. Matyjas;Qingquan Sun;Yingying Zhu

Year: 2017 | Volume: 16, Issue: 2 | Journal Article |

On the Performance of Relay-Assisted D2D Networks under Spatially Correlated Interference

Rachad Atat;Lingjia Liu;Jonathan Ashdown;Michael Medley;John Matyjas

2016 IEEE Global Communications Conference (GLOBECOM)
Year: 2016 | Conference Paper |
Cited by: Papers (9)
With the explosive growth of mobile traffic demand, device-to-device (D2D) communication offers a promising approach to reduce cellular congestion by offloading users' traffic to D2D network. In this paper, we consider a relay- assisted D2D communication in underlay cellular networks, where D2D users access a proportion of the spectrum occupied by cellular users. This poses two fundamental issues....Show More

On the Performance of Relay-Assisted D2D Networks under Spatially Correlated Interference

Rachad Atat;Lingjia Liu;Jonathan Ashdown;Michael Medley;John Matyjas

Year: 2016 | Conference Paper |

Improving Spectral Efficiency of D2D Cellular Networks through RF Energy Harvesting

Rachad Atat;Lingjia Liu;Jonathan Ashdown;Michael Medley;John Matyjas;Yang Yi

2016 IEEE Global Communications Conference (GLOBECOM)
Year: 2016 | Conference Paper |
Cited by: Papers (5)
In this paper, we consider device-to-device (D2D) communication underlaying cellular networks, where D2D users harvest radio frequency (RF) power from uplink cellular transmissions. This paper addresses two important issues for energy harvesting-based D2D cellular networks. The first is how the energy harvested from cellular ambient RF signals affects the D2D spectral efficiency. Using tools from ...Show More

Improving Spectral Efficiency of D2D Cellular Networks through RF Energy Harvesting

Rachad Atat;Lingjia Liu;Jonathan Ashdown;Michael Medley;John Matyjas;Yang Yi

Year: 2016 | Conference Paper |

Fundamentals of Spatial RF Energy Harvesting for D2D Cellular Networks

Rachad Atat;Hao Chen;Lingjia Liu;Jonathan Ashdown;Michael Medley;John Matyjas

2016 IEEE Global Communications Conference (GLOBECOM)
Year: 2016 | Conference Paper |
Cited by: Papers (11)
Energy efficiency is one of the major challenges of 5G networks. As data rates are expected to increase by 1000x from 4G to 5G, energy efficiency will need to improve by about the same amount. Recently, energy harvesting techniques have attracted lots of attention from the scientific community, due to their ability to increase network lifetime. More specific, energy harvesting from ambient radio f...Show More

Fundamentals of Spatial RF Energy Harvesting for D2D Cellular Networks

Rachad Atat;Hao Chen;Lingjia Liu;Jonathan Ashdown;Michael Medley;John Matyjas

Year: 2016 | Conference Paper |

Amplify and forward relaying protocol design with optimum power and time allocation

Zijian Mo;Weifeng Su;John D. Matyjas

MILCOM 2016 - 2016 IEEE Military Communications Conference
Year: 2016 | Conference Paper |
Cited by: Papers (5)
Parameter optimization such as power and time allocation plays an important role in emerging cooperative relaying protocol designs, especially when the environment is congested and contested. However, most existing works on cooperative relaying protocol designs considered equal-time allocation scenario, i.e. equal time duration is assigned to each source and each relay. In our recent work, we deve...Show More

Amplify and forward relaying protocol design with optimum power and time allocation

Zijian Mo;Weifeng Su;John D. Matyjas

Year: 2016 | Conference Paper |

Interference Alignment for Downlink Multi-Cell LTE-Advanced Systems With Limited Feedback

Somayeh Mosleh;Jonathan D. Ashdown;John D. Matyjas;Michael J. Medley;Jianzhong Zhang;Lingjia Liu

IEEE Transactions on Wireless Communications
Year: 2016 | Volume: 15, Issue: 12 | Journal Article |
Cited by: Papers (24)
To suppress the co-channel interference in a multi-cell multi-user multiple-input-multiple-output downlink cellular network, a novel interference alignment transceiver beam-forming design along with a low complexity iterative coordinated beam-forming scheme is introduced. While the latter combats the intra-cell interference, the former is utilized to mitigate the inter-cell interference. The propo...Show More

Interference Alignment for Downlink Multi-Cell LTE-Advanced Systems With Limited Feedback

Somayeh Mosleh;Jonathan D. Ashdown;John D. Matyjas;Michael J. Medley;Jianzhong Zhang;Lingjia Liu

Year: 2016 | Volume: 15, Issue: 12 | Journal Article |

Spatial Spectrum Sensing-Based Device-to-Device Cellular Networks

Hao Chen;Lingjia Liu;Thomas Novlan;John D. Matyjas;Boon Loong Ng;Jianzhong Zhang

IEEE Transactions on Wireless Communications
Year: 2016 | Volume: 15, Issue: 11 | Journal Article |
Cited by: Papers (45)
Ultra-densification is one of the main features of 5G networks. In an ultra-dense network, how to conduct interference management and spectrum allocation is a challenging issue. Spectrum sensing in cognitive radio networks is a distributed and efficient way to resolve this issue in ultra-dense networks. However, most of the studies on spectrum sensing only focus on sensing temporal spectrum opport...Show More

Spatial Spectrum Sensing-Based Device-to-Device Cellular Networks

Hao Chen;Lingjia Liu;Thomas Novlan;John D. Matyjas;Boon Loong Ng;Jianzhong Zhang

Year: 2016 | Volume: 15, Issue: 11 | Journal Article |

Priority-Aware Joint Packet Fragmentation and Error Protection Scheme for H.264 Video over Wireless Channels

Seethal Paluri;Kashyap K. R. Kambhatla;Micheal Medley;John. D. Matyjas;Sunil Kumar

2015 IEEE International Symposium on Multimedia (ISM)
Year: 2015 | Conference Paper |
Cited by: Papers (7)
We present a real-time, priority-aware joint packet fragmentation and error protection scheme for transmitting H.264/AVC compressed video over Rayleigh fading channels. A priority is assigned to every video slice based on the predicted cumulative mean squared error (CMSE) contributed by its loss relative to all the slices of the group of pictures (GOP). Here, the CMSE of a slice, which is predicte...Show More

Priority-Aware Joint Packet Fragmentation and Error Protection Scheme for H.264 Video over Wireless Channels

Seethal Paluri;Kashyap K. R. Kambhatla;Micheal Medley;John. D. Matyjas;Sunil Kumar

Year: 2015 | Conference Paper |

Relay Location Optimization for Differential Amplify-and-Forward Cooperative Relaying

Fuyu Chen;Weifeng Su;Dimitris A. Pados;John D. Matyjas;Michael J. Medley

2015 IEEE Global Communications Conference (GLOBECOM)
Year: 2015 | Conference Paper |
Cited by: Papers (2)
Differential amplify-and-forward (DAF) cooperative relaying appears to be an attractive strategy for wireless networks where channel estimation is not feasible or it is rather avoided. In this work, we intend to determine the optimum relay location in order to minimize the outage probability of the DAF cooperative relaying in case that the system is allowed to deploy the relay. We consider two sce...Show More

Relay Location Optimization for Differential Amplify-and-Forward Cooperative Relaying

Fuyu Chen;Weifeng Su;Dimitris A. Pados;John D. Matyjas;Michael J. Medley

Year: 2015 | Conference Paper |

DoA estimation and achievable rate analysis for 3D massive MIMO in aeronautical communication systems

Mohanad Al-Ibadi;Lingjia Liu;John Matyjas;Jianzhong Charlie Zhang

2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
With very high carrier frequencies (such as millimeter-wave (mmW) bands), a very large number of antennas can be packed at the base station (BS). For this kind of high dimensional channel, it is desirable to exploit signal directions to estimate the channel directions. In this paper, we analyze the performance of the direction of arrival (DoA) estimation based on unitary ESPRIT algorithm assuming ...Show More

DoA estimation and achievable rate analysis for 3D massive MIMO in aeronautical communication systems

Mohanad Al-Ibadi;Lingjia Liu;John Matyjas;Jianzhong Charlie Zhang

Year: 2015 | Conference Paper |

Distributed cognitive radio network architecture, SDR implementation and emulation testbed

Sohraab Soltani;Yalin Sagduyu;Yi Shi;Jason Li;Jared Feldman;John Matyjas

MILCOM 2015 - 2015 IEEE Military Communications Conference
Year: 2015 | Conference Paper |
Cited by: Papers (18)
This paper presents a distributed cognitive radio network architecture for joint routing and spectrum access, its implementation with software-defined radios (SDRs), and its evaluation in a high-fidelity emulation testbed. CREATE-NEST, a comprehensive cognitive radio system, is built as an experimental prototype that provides a Cognitive Radio nEtworking ArchiTecturE (CREATE) for distributed suppo...Show More

Distributed cognitive radio network architecture, SDR implementation and emulation testbed

Sohraab Soltani;Yalin Sagduyu;Yi Shi;Jason Li;Jared Feldman;John Matyjas

Year: 2015 | Conference Paper |

Cooperative Routing for Underlay Cognitive Radio Networks Using Mutual-Information Accumulation

Hao Chen;Lingjia Liu;John D. Matyjas;Michael J. Medley

IEEE Transactions on Wireless Communications
Year: 2015 | Volume: 14, Issue: 12 | Journal Article |
Cited by: Papers (7)
In underlay cognitive radio networks (CRNs), secondary users (SUs) have to dynamically control their transmit powers so that the interference to primary users (PUs) is tolerable. Under this constraint, SUs' data link usually suffers from either high error rate with limited transmission range or long end-to-end delay caused by multi-hop transmissions. To improve the performance of SUs, cooperative ...Show More

Cooperative Routing for Underlay Cognitive Radio Networks Using Mutual-Information Accumulation

Hao Chen;Lingjia Liu;John D. Matyjas;Michael J. Medley

Year: 2015 | Volume: 14, Issue: 12 | Journal Article |

Towards optimal priority and deadline driven scheduling in dynamic wireless environments

Viral Patel;Nicholas Mastronarde;Michael Medley;John D. Matyjas

2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)
Year: 2015 | Conference Paper |
We formulate the problem of point-to-point scheduling at a congested network node as a Markov decision process (MDP) that considers the deadlines and priorities of each packet as well as the dynamic packet arrivals and channel conditions. Within this framework, we formulate the problem with the objective of maximizing the node's long-run priority-weighted throughput subject to instantaneous transm...Show More

Towards optimal priority and deadline driven scheduling in dynamic wireless environments

Viral Patel;Nicholas Mastronarde;Michael Medley;John D. Matyjas

Year: 2015 | Conference Paper |

Optimal resource allocation for sensing based spectrum sharing cognitive radio networks

Hao Chen;Lingjia Liu;John Matyjas;Michael Medley

2014 IEEE Global Communications Conference
Year: 2014 | Conference Paper |
Cited by: Papers (9)
To improve the spectral efficiency of a cognitive radio system, sensing based spectrum sharing (SBSS) technique combines the advantages of spectrum overlay and spectrum underlay. In this paper, we study the performance of SBSS under primary users' (PUs') rate loss constraint. To be specific, efficient algorithms are introduced to find the optimal sensing time and power allocation in both single-ca...Show More

Optimal resource allocation for sensing based spectrum sharing cognitive radio networks

Hao Chen;Lingjia Liu;John Matyjas;Michael Medley

Year: 2014 | Conference Paper |

A Learning-Based QoE-Driven Spectrum Handoff Scheme for Multimedia Transmissions over Cognitive Radio Networks

Yeqing Wu;Fei Hu;Sunil Kumar;Yingying Zhu;Ali Talari;Nazanin Rahnavard;John D. Matyjas

IEEE Journal on Selected Areas in Communications
Year: 2014 | Volume: 32, Issue: 11 | Journal Article |
Enabling the spectrum handoff for multimedia applications in cognitive radio networks (CRNs) is challenging, due to multiple interruptions from primary users (PUs), contentions among secondary users (SUs), and heterogenous Quality-of-Experience (QoE) requirements. In this paper, we propose a learning-based and QoE-driven spectrum handoff scheme to maximize the multimedia users' satisfaction. We de...Show More

A Learning-Based QoE-Driven Spectrum Handoff Scheme for Multimedia Transmissions over Cognitive Radio Networks

Yeqing Wu;Fei Hu;Sunil Kumar;Yingying Zhu;Ali Talari;Nazanin Rahnavard;John D. Matyjas

Year: 2014 | Volume: 32, Issue: 11 | Journal Article |

Study of the I/Q Imbalance Problem in Adaptive Beamforming Receivers

Thomas Yang;Yassir Salama;John Matyjas;Richard Michalak

2014 National Wireless Research Collaboration Symposium
Year: 2014 | Conference Paper |
Cited by: Papers (1)
Adaptive beam formers employ an array of antennas to achieve maximum reception in a particular direction. The exploitation of spatial separation among user signals originating from different transmitters offers great potential for increased spectrum usage efficiency and system capacity. In this paper, we address the issue of Inphase/Quadrature phase (I/Q) imbalance in adaptive beam forming receive...Show More

Study of the I/Q Imbalance Problem in Adaptive Beamforming Receivers

Thomas Yang;Yassir Salama;John Matyjas;Richard Michalak

Year: 2014 | Conference Paper |

Optimum power and time allocation for cooperative relaying protocol

Zijian Mo;Weifeng Su;Stella Batalama;John D. Matyjas

2014 IEEE International Conference on Communications (ICC)
Year: 2014 | Conference Paper |
Cited by: Papers (2)
Cooperative communication has emerged as a new wireless network communication concept, in which parameter optimization such as power budget and time allocation plays an important role in cooperative relaying protocol designs. While most existing works on cooperative relaying protocol designs considered equal-time allocation scenario, i.e. equal time duration is assigned to each source and each rel...Show More

Optimum power and time allocation for cooperative relaying protocol

Zijian Mo;Weifeng Su;Stella Batalama;John D. Matyjas

Year: 2014 | Conference Paper |

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