Technical Reports and Preprints

The Hume Center is committed to academic publication of its research to the widest audiences possible, however sometimes publication restrictions on our research can make that difficult. When possible, technical reports and preprints are published to to the arXiv e-Print archive. Others we list here by name only, and copies may be requested for those with the appropriate authorization from

arXiv Reports


  1. M Yao, M Sohul, R Nealy, V Marojevic, J Reed, A Digital Predistortion Scheme Exploiting Degrees-of-Freedom for Massive MIMO Systems, arXiv preprint arXiv:1801.06023, 2018.
  2. A Reach, C North, Smooth, Efficient, and Interruptible Zooming and Panning, arXiv preprint arXiv:1801.09358, 2018.
  3. JH Park, K Hong, JR Koo, JW Lee, CH Kim, Absolute dimensions and evolutionary status of the semi-detached Algol W Ursae Minoris, arXiv preprint arXiv:1801.08642, 2018.
  4. JL Wu, H Xiao, E Paterson, Data-Driven Augmentation of Turbulence Models with Physics-Informed Machine Learning, arXiv preprint arXiv:1801.02762, 2018.
  5. M Chen, W Saad, C Yin, Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks, arXiv preprint arXiv:1801.09339, 2018.
  6. A Sanjab, W Saad, T Başar, Graph-Theoretic Framework for Unified Analysis of Observability and Data Injection Attacks in the Smart Grid, arXiv preprint arXiv:1801.08951, 2018.
  7. U Challita, W Saad, C Bettstetter, Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management, arXiv preprint arXiv:1801.05500, 2018.
  8. S Ali, N Rajatheva, W Saad, Fast Uplink Grant for Machine Type Communications: Challenges and Opportunities, arXiv preprint arXiv:1801.04953, 2018.
  9. TJ O'Shea, K Karra, TC Clancy, Learning approximate neural estimators for wireless channel state information, arXiv preprint arXiv:1707.06260, 2017.
  10. K Karra, L Mili, Copula Index for Detecting Dependence and Monotonicity between Stochastic Signals, arXiv preprint arXiv:1703.06686, 2017.
  11. TJ O'Shea, T Erpek, TC Clancy, Deep learning based MIMO communications, arXiv preprint arXiv:1707.07980, 2017.
  12. V Marojevic, R Nealy, JH Reed, LTE Spectrum Sharing Research Testbed: Integrated Hardware, Software, Network and Data, arXiv preprint arXiv:1710.02571, 2017.
  13. M Labib, V Marojevic, AF Martone, JH Reed, AI Zaghloul, Coexistence between Communication and Radar Systems-A Survey, arXiv preprint arXiv:1709.08573, 2017.
  14. M Labib, V Marojevic, JH Reed, AI Zaghloul, Extending LTE into the unlicensed spectrum: technical analysis of the proposed variants, arXiv preprint arXiv:1709.04458, 2017.
  15. V Marojevic, RM Rao, S Ha, JH Reed, Performance analysis of a mission-critical portable LTE system in targeted RF interference, arXiv preprint arXiv:1708.06814, 2017.
  16. RM Rao, S Ha, V Marojevic, JH Reed, Lte phy layer vulnerability analysis and testing using open-source sdr tools, arXiv preprint arXiv:1708.05887, 2017.
  17. AMC Reach, C North, The Signals and Systems Approach to Animation, arXiv preprint arXiv:1703.00521, 2017.
  18. CE O'Lone, HS Dhillon, RM Buehrer, A Statistical Characterization of Localization Performance in Wireless Networks, arXiv preprint arXiv:1710.07716, 2017.
  19. JM Ok, SH Baek, C Hoch, RK Kremer, SY Park, S Ji, B Buechner, JH Park, ..., Frustration-driven C4 symmetric orders in a hetero-structured iron-based superconductor, arXiv preprint arXiv:1706.08157, 2017.
  20. S Kim, C Dietrich, A Geometric Analysis Method for Evaluation of Coexistence between DSRC and Wi-Fi at 5.9 GHz, arXiv preprint arXiv:1705.08954, 2017.
  21. M Mozaffari, W Saad, M Bennis, M Debbah, Communications and Control for Wireless Drone-Based Antenna Array, arXiv preprint arXiv:1712.10291, 2017.
  22. T Zeng, O Semiariy, W Saad, MT Thaiz, Spatial Motifs for Device-to-Device Network Analysis (DNA) in Cellular Networks, arXiv preprint arXiv:1712.08818, 2017.
  23. S Gupta, V Kekatos, W Saad, Optimal Real-Time Coordination of Energy Storage Units as a Network-Constrained Game, arXiv preprint arXiv:1712.08554, 2017.
  24. A Ferdowsi, U Challita, W Saad, Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems, arXiv preprint arXiv:1712.04135, 2017.
  25. M Chen, W Saad, C Yin, M Debbah, Echo state transfer learning for data correlation aware resource allocation in wireless virtual reality, arXiv preprint arXiv:1711.09173, 2017.
  26. T Zeng, O Semiari, W Saad, Spatio-Temporal Motifs for Optimized Vehicle-to-Vehicle (V2V) Communications, arXiv preprint arXiv:1711.06306, 2017.
  27. A Ferdowsi, W Saad, Deep Learning-Based Dynamic Watermarking for Secure Signal Authentication in the Internet of Things, arXiv preprint arXiv:1711.01306, 2017.
  28. T Park, W Saad, Distributed Learning for Low Latency Machine Type Communication in a Massive Internet of Things, arXiv preprint arXiv:1710.08803, 2017.
  29. G Lee, W Saad, M Bennis, An Online Optimization Framework for Distributed Fog Network Formation with Minimal Latency, arXiv preprint arXiv:1710.05239, 2017.
  30. M Chen, U Challita, W Saad, C Yin, M Debbah, Machine learning for wireless networks with artificial intelligence: A tutorial on neural networks, arXiv preprint arXiv:1710.02913, 2017.
  31. A Ferdowsi, A Sanjab, W Saad, T Başar, Generalized Colonel Blotto Game, arXiv preprint arXiv:1710.01381, 2017.
  32. A Ferdowsi, W Saad, NB Mandayam, Colonel Blotto Game for Secure State Estimation in Interdependent Critical Infrastructure, arXiv preprint arXiv:1709.09768, 2017.
  33. O Semiari, W Saad, M Bennis, M Debbah, Performance analysis of integrated sub-6 ghz-millimeter wave wireless local area networks, arXiv preprint arXiv:1709.00988, 2017.
  34. O Semiari, W Saad, M Bennis, B Maham, Mobility Management for Heterogeneous Networks: Leveraging Millimeter Wave for Seamless Handover, arXiv preprint arXiv:1709.01075, 2017.
  35. AR Eldosouky, W Saad, N Mandayam, Resilient Critical Infrastructure: Bayesian Network Analysis and Contract-Based Optimization, arXiv preprint arXiv:1709.00303, 2017.
  36. M Chen, W Saad, C Yin, Echo State Learning for Wireless Virtual Reality Resource Allocation in UAV-enabled LTE-U Networks, arXiv preprint arXiv:1708.00921, 2017.
  37. U Challita, W Saad, Network formation in the Sky: Unmanned aerial vehicles for multi-hop wireless backhauling, arXiv preprint arXiv:1707.09132, 2017.
  38. SR Etesami, W Saad, N Mandayam, HV Poor, Smart Routing of Electric Vehicles for Load Balancing in Smart Grids, arXiv preprint arXiv:1705.03805, 2017.
  39. M Chen, W Saad, C Yin, Virtual reality over wireless networks: Quality-of-service model and learning-based resource management, arXiv preprint arXiv:1703.04209, 2017.
  40. U Challita, L Dong, W Saad, Proactive resource management in LTE-U systems: A deep learning perspective, arXiv preprint arXiv:1702.07031, 2017.
  41. FP An, AB Balantekin, HR Band, M Bishai, S Blyth, D Cao, GF Cao, J Cao, ..., Cosmogenic neutron production at Daya Bay, arXiv preprint arXiv:1711.00588, 2017.
  42. DV Forero, R Hawkins, P Huber, The benefits of a near detector for JUNO, arXiv preprint arXiv:1710.07378, 2017.
  43. L Alvarez-Ruso, MS Athar, MB Barbaro, D Cherdack, ME Christy, ..., NuSTEC White Paper: Status and Challenges of Neutrino-Nucleus Scattering, arXiv preprint arXiv:1706.03621, 2017.
  44. TJ O'Shea, TC Clancy, RW McGwier, Recurrent neural radio anomaly detection, arXiv preprint arXiv:1611.00301, 2016.
  45. MB Hassine, L Mili, K Karra, A Copula Statistic for Measuring Nonlinear Multivariate Dependence, arXiv preprint arXiv:1612.07269, 2016.
  46. A Kumar, A Abdelhadi, C Clancy, A delay optimal MAC and packet scheduler for heterogeneous M2M uplink, arXiv preprint arXiv:1606.06692, 2016.
  47. TJ O'Shea, TC Clancy, Deep reinforcement learning radio control and signal detection with KeRLym, a Gym RL agent, arXiv preprint arXiv:1605.09221, 2016.
  48. TJ O'Shea, A Mondl, TC Clancy, A Modest Proposal for Open Market Risk Assessment to Solve the Cyber-Security Problem, arXiv preprint arXiv:1604.08675, 2016.
  49. A Kumar, A Abdelhadi, TC Clancy, An online delay efficient multi-class packet scheduler for heterogeneous M2M uplink traffic, arXiv preprint arXiv:1601.03061, 2016.
  50. A Abdelhadi, H Shajaiah, Optimal resource allocation for cellular networks with MATLAB instructions, arXiv preprint arXiv:1612.07862, 2016.
  51. H Wu, M Sun, J Vreeken, N Tatti, C North, N Ramakrishnan, Interactive and Iterative Discovery of Entity Network Subgraphs, arXiv preprint arXiv:1608.03889, 2016.
  52. DJ Jakubisin, RM Buehrer, CRCM da Silva, Probabilistic receiver architecture combining BP, MF, and EP for multi-signal detection, arXiv preprint arXiv:1604.04834, 2016.
  53. SY Park, SH Do, KY Choi, D Jang, TH Jang, J Schefer, CM Wu, ..., Emergence of the Isotropic Kitaev Honeycomb Lattice with Two-dimensional Ising Universality in {\alpha}-RuCl $ _3$, arXiv preprint arXiv:1609.05690, 2016.
  54. TJ O'Shea, S Hitefield, J Corgan, End-to-end radio traffic sequence recognition with deep recurrent neural networks, arXiv preprint arXiv:1610.00564, 2016.
  55. H Xiao, JL Wu, J Wang, EG Paterson, Are Discrepancies in RANS Modeled Reynolds Stresses Random?, arXiv preprint arXiv:1606.08131, 2016.
  56. A Sanjab, W Saad, I Guvenc, A Sarwat, S Biswas, Smart Grid Security: Threats, Challenges, and Solutions, arXiv preprint arXiv:1606.06992, 2016.
  57. S Samarakoon, M Bennis, W Saad, M Latva-aho, Enabling Relaying Over Heterogeneous Backhauls in the Uplink of Wireless Femtocell Networks, arXiv preprint arXiv:1604.08744, 2016.
  58. S Chong, J Guttman, A Datta, A Myers, B Pierce, P Schaumont, ..., Report on the NSF workshop on formal methods for security, arXiv preprint arXiv:1608.00678, 2016.
  59. P Huber, Prospects for neutrino oscillation parameters, arXiv preprint arXiv:1612.04843, 2016.
  60. P Huber, The 5 MeV bump-a nuclear whodunit mystery, arXiv preprint arXiv:1609.03910, 2016.
  61. A Ankowski, J Beacom, O Benhar, S Chen, J Cherry, Y Cui, A Friedland, ..., Supernova Physics at DUNE, arXiv preprint arXiv:1608.07853, 2016.
  62. NS Bowden, KM Heeger, P Huber, C Mariani, RB Vogelaar, Applied Antineutrino Physics 2015--Conference Summary, arXiv preprint arXiv:1602.04759, 2016.
  63. A Khawar, A Abdelhadi, TC Clancy, Channel modeling between seaborne MIMO radar and MIMO cellular system, arXiv preprint arXiv:1504.04325, 2015.
  64. JA Mahal, A Khawar, A Abdelhadi, TC Clancy, Radar precoder design for spectral coexistence with coordinated multi-point (CoMP) system, arXiv preprint arXiv:1503.04256, 2015.
  65. H Wu, M Sun, P Mi, N Tatti, C North, N Ramakrishnan, Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models, arXiv preprint arXiv:1512.08799, 2015.
  66. N Namvar, W Saad, B Maham, Cell Selection in Wireless Two-Tier Networks: A Context-Aware Matching Game, arXiv preprint arXiv:1512.00539, 2015.
  67. R El-Bardan, W Saad, S Brahma, PK Varshney, Matching-based spectrum allocation in cognitive radio networks, arXiv preprint arXiv:1508.03011, 2015.
  68. G Bacci, S Lasaulce, W Saad, L Sanguinetti, Game theory for signal processing in networks, arXiv preprint arXiv:1506.00982, 2015.
  69. C Adams, JR Alonso, AM Ankowski, JA Asaadi, J Ashenfelter, SN Axani, ..., The Intermediate Neutrino Program, arXiv preprint arXiv:1503.06637, 2015.
  70. JP Delahaye, C Ankenbrandt, S Brice, AD Bross, D Denisov, E Eichten, ..., A staged muon accelerator facility for neutrino and collider physics, arXiv preprint arXiv:1502.01647, 2015.
  71. C Lane, SM Usman, J Blackmon, C Rasco, HP Mumm, D Markoff, ..., A new type of neutrino detector for sterile neutrino search at nuclear reactors and nuclear nonproliferation applications, arXiv preprint arXiv:1501.06935, 2015.
  72. GR Jocher, R Dorrill, M Duvall, JG Learned, V Li, J Maricic, S Matsuno, ..., C. Lane1, SM Usman2, J. Blackmon3, C. Rasco3, HP Mumm4, D. Markoff5, GR Jocher6, R. Dorrill7, M. Duvall7, JG Learned7, V. Li7, J. Maricic7, S. Matsuno7, R. Mil..., arXiv preprint arXiv:1501.06935, 2015.
  73. A Abdelhadi, M Ghorbanzadeh, C Clancy, Optimal radio resource allocation for hybrid traffic in cellular networks: Centralized and distributed architecture, arXiv preprint arXiv:1411.4011, 2014.
  74. A Abdelhadi, M Ghorbanzadeh, C Clancy, Optimal Radio Resource Allocation for Hybrid Traffic in Cellular Networks: Traffic Analysis and Implementation, arXiv preprint arXiv:1411.4012, 2014.
  75. H Shajaiah, A Abdelhadi, C Clancy, Impact of Radar and Communication Coexistence on Radar's Detectable Target Parameters, arXiv preprint arXiv:1408.6736, 2014.
  76. A Kumar, R Tandon, TC Clancy, On the latency and energy efficiency of erasure-coded cloud storage systems, arXiv preprint arXiv:1405.2833, 2014.
  77. A Kumar, R Tandon, TC Clancy, On the latency of erasure-coded cloud storage systems, arXiv preprint arXiv:1405.2833, 2014.
  78. SD Amuru, C Tekin, M van der Schaar, RM Buehrer, Jamming bandits, arXiv preprint arXiv:1411.3652, 2014.
  79. A Abdelhadi, A Gerstlauer, S Vishwanath, Real-time rate-distortion optimized streaming of wireless video, arXiv preprint arXiv:1406.1915, 2014.
  80. A Merwaday, M Yuksel, T Quint, I Guvenc, W Saad, N Kapucu, Incentivizing spectrum sharing via subsidy regulations, arXiv preprint arXiv:1411.5302, 2014.
  81. P Huber, A Bross, M Palmer, The Case for Muon-based Neutrino Beams, arXiv preprint arXiv:1411.0629, 2014.
  82. MD Adams, SD Hitefield, B Hoy, MC Fowler, TC Clancy, Application of cybernetics and control theory for a new paradigm in cybersecurity, arXiv preprint arXiv:1311.0257, 2013.
  83. E Christensen, P Huber, P Jaffke, Antineutrino reactor safeguards-a case study, arXiv preprint arXiv:1312.1959, 2013.
  84. A de Gouvea, K Pitts, K Scholberg, GP Zeller, J Alonso, A Bernstein, ..., Neutrinos, arXiv preprint arXiv:1310.4340, 2013.
  85. Z Djurcic, S Hans, M Yeh, E Blucher, R Johnson, BR Littlejohn, M Dolinski, ..., PROSPECT-A Precision Reactor Neutrino and Oscillation Spectrum Experiment at Very Short Baselines, arXiv preprint arXiv:1309.7647, 2013.
  86. J Ashenfelter, AB Balantekin, HR Band, G Barclay, C Bass, NS Bowden, ..., PROSPECT-A precision reactor oscillation and spectrum experiment at short baselines, arXiv preprint arXiv:1309.7647, 2013.
  87. , Opportunities in Neutrino Theory--a Snowmass White Paper, arXiv preprint arXiv:1309.7338, 2013.
  88. JP Delahaye, C Ankenbrandt, A Bogacz, S Brice, A Bross, D Denisov, ..., Enabling Intensity and Energy Frontier Science with a Muon Accelerator Facility in the US: A White Paper Submitted to the 2013 US Community Summer Study of the..., arXiv preprint arXiv:1308.0494, 2013.
  89. D Adey, SK Agarwalla, CM Ankenbrandt, R Asfandiyarov, JJ Back, ..., nuSTORM-neutrinos from STORed muons: proposal to the fermilab PAC, arXiv preprint arXiv:1308.6822, 2013.
  90. AS Kronfeld, RS Tschirhart, U Al-Binni, W Altmannshofer, C Ankenbrandt, ..., Project X: physics opportunities, arXiv preprint arXiv:1306.5009, 2013.
  91. D Adey, SK Agarwalla, CM Ankenbrandt, R Asfandiyarov, JJ Back, ..., Neutrinos from stored Muons nuSTORM: expression of interest, arXiv preprint arXiv:1305.1419, 2013.
  92. SK Agarwalla, E Akhmedov, M Blennow, P Coloma, A Donini, ..., EUROnu-WP6 2010 Report, arXiv preprint arXiv:1209.2825, 2012.
  93. P Kyberd, DR Smith, L Coney, S Pascoli, C Ankenbrandt, SJ Brice, ..., nuSTORM: neutrinos from STORed Muons, arXiv preprint arXiv:1206.0294, 2012.
  94. KN Abazajian, MA Acero, SK Agarwalla, AA Aguilar-Arevalo, CH Albright, ..., Light sterile neutrinos: a white paper, arXiv preprint arXiv:1204.5379, 2012.
  95. RJ Abrams, SK Agarwalla, A Alekou, C Andreopoulos, CM Ankenbrandt, ..., Interim Design Report, arXiv preprint arXiv:1112.2853, 2011.
  96. J Bernabeu, M Blennow, P Coloma, A Donini, C Espinoza, ..., EURONU WP6 2009 yearly report: Update of the physics potential of Nufact, superbeams and betabeams, arXiv preprint arXiv:1005.3146, 2010.

Restricted Reports

  1. A. Khawar, A. Abdelhadi, C. Clancy, "Shared Spectrum Access for MIMO Radar and MIMO Communications", Virginia Tech Hume Center Technical Report HC-R140013, September 2014.
  2. A. Khawar, A. Abdelhadi, C. Clancy, "On the Coherence Time of the Wireless Channel under Various Sea States", Virginia Tech Hume Center Technical Report HC-R140009, September 2014.
  3. A. Khawar, A. Abdelhadi, C. Clancy, "Performance of Spectrum Sharing MIMO Radars in LoS Channel Models", Virginia Tech Hume Center Technical Report HC-R140012, August 2014.
  4. A. Khawar, A. Abdelhadi, C. Clancy, "3D Channel Modeling between Radar and Communication Systems for Spectrum Sharing", Virginia Tech Hume Center Technical Report HC-R140011, August 2014.
  5. A. Khawar, A. Abdelhadi, C. Clancy, "Limits on Search/Track/Detect Volume Illuminated by Spectrum Sharing MIMO Radars", Virginia Tech Hume Center Technical Report HC-R140010, August 2014.
  6. A. Khawar, J. Mahal, A. Abdelhadi, C. Clancy, "A Realistic Channel Model for Radar/Cellular Coexistence in the 3.5 GHz Band", Virginia Tech Hume Center Technical Report HC-R140007, July 2014.
  7. J. Mahal, A. Abdelhadi, C. Clancy, "Impact of Location and Mobility on Radar/Cellular Coexistence in 3.5 GHz Band", Virginia Tech Hume Center Technical Report HC-R140006, July 2014.
  8. C. Clancy, W. Clark, "Fundamental Bounds on Learning in Cognitive Electronic Warfare Systems", Virginia Tech Hume Center Technical Report HC-R140005, March 2014.
  9. A. Khawar, A. Abdelhadi, C. Clancy, "Spectral Coexistence using MIMO Radar Platforms", Virginia Tech Hume Center Technical Report HC-R140002, March 2014.
  10. H. Shajaiah, A. Abdelhadi, "Network Parameters Impact on Resource Allocation in Cellular Networks", Virginia Tech Hume Center Technical Report HC-R130003, October 2013.
  11. A. Abdelhadi, H. Shajaiah, "Resource Allocation for Cellular Networks", Virginia Tech Hume Center Technical Report HC-R130004, August 2013.
  12. C. Clancy, "Security Recommendations for Military Use of Dynamic Spectrum Access Technology", Virginia Tech Hume Center Technical Report HC-R110001, July 2011.