S. Stanczak and M. Wiczanowski and H. Boche (2009). Fundamentals of Resource Allocation in Wireless Networks [1]. volume 3 of Foundations in Signal Processing, Communications and Networking. Springer, Berlin, 2009. Springer, Berlin.

S. Stanczak and M. Wiczanowski and H. Boche (2006). Resource Allocation in Wireless Networks - Theory and Algorithms [2]. Lecture Notes in Computer Science (LNCS 4000). Springer, Berlin, 2006. Springer, Berlin.

D. A. Awan, R.L.G. Cavalcante, M. Yukawa and S. Stanczak (2019). Adaptive Learning for Symbol Detection: A Reproducing Kernel Hilbert Space Approach [3]. Wiley, 2019, to appear

S. Maghsudi and S. Stanczak (2015). Communications in Interference-Limited Networks [4]. chapter Distributed Channel Selection for Underlay Device-to-Device Communications: A Game- Theoretical Learning Framework. Springer International Publishing, 2015. Springer International Publishing.

M. Goldenbaum and S. Stanczak and H. Boche (2015). Communications in Interference-Limited Networks [5]. chapter Interference-Aware Analog Computation over the Wireless Channel: Fundamentals and Strategies. Springer International Publishing, 2015. Springer International Publishing.

R. L. G. Cavalcante and S. Stanczak and I. Yamada (2014). Cooperative Cognitive Radios with Diffusion Networks [6]. chapter Cognitive Radio and Sharing Unlicensed Spectrum in the book Mechanisms and Games for Dynamic Spectrum Allocation, pages 262{303. Cambridge University Press, UK, 2014, 262–303.

I. Bjelakovic and H. Boche and J. Sommerfeld (2013). Capacity Results for Arbitrarily Varying Wiretap Channels [7]. In: Aydinian H., Cicalese F., Deppe C. (eds) Information Theory, Combinatorics, and Search Theory. Lecture Notes in Computer Science, vol 7777. Springer, Berlin, Heidelberg

I. Bjelakovic and H. Boche and G. Janen and J. Notzel (2013). Arbitrarily Varying and Compound Classical-Quantum Channels and a Note on Quantum Zero-Error Capacities [8]. In: Aydinian H., Cicalese F., Deppe C. (eds) Information Theory, Combinatorics, and Search Theory. Lecture Notes in Computer Science, vol. 7777. Springer, Berlin, Heidelberg

S. Stanczak and H. Boche (2005). Towards a better understanding of the QoS tradeoff in multiuser multiple antenna systems [9]. Smart Antennas–State-of-the-Art. Hindawi Publishing Corporation, 521-543.

R. L.G. Cavalcante, Q. Liao and S. Stanczak (2019). Connections between spectral properties of asymptotic mappings and solutions to wireless network problems [12]. IEEE Transactions on Signal Processing, Feb. 2019 (accepted)

B.-S. Shin and M. Yukawa and R. L. G. Cavalcante and A. Dekorsy (2018). Distributed Adaptive Learning with Multiple Kernels in Diffusion Networks [13]. IEEE Transactions on Signal Processing, 5505-5519.

S. Limmer and S. Stanczak (2018). A Neural Architecture for Bayesian Compressive Sensing over the Simplex via Laplace Techniques [14]. IEEE Trans. on Signal Processing, 66(22):6002-6015, Nov. 2018.

C. Bockelmann, N. Pratas, G. Wunder, S. Saur, M. Navorro, D. Gregoratti, G. Vivier, E. de Carvalho, Y. Ji, C. Stefanovic, P. Popovski, Q. Wang, M. Schellmann, E. Kosmatos, P. Demestichas, M. Raceala-Motoc, P. Jung, S. Stanczak and A. Dekorsy (2018). Towards Massive Connectivity Support for Scalable mMTC Communications in 5G networks [15]. IEEE Access (Volume: 6), pages 28969 - 28992, May 16, 2018

J. Schreck and P. Jung and S. Stanczak (2018). Compressive Rate Estimation with Applications to Device-to-Device Communications [16]. IEEE Transactions on Wireless Communications

B.-S. Shin, M. Yukawa, R. L. G. Cavalcante and A. Dekorsy (2018). Distributed Adaptive Learning with Multiple Kernels in Diffusion Networks [17]. IEEE Transactions on Signal Processing, to appear. Preprint available at arXiv:1801.07087

W. Samek and S. Stanczak and T. Wiegand (2017). The Convergence of Machine Learning and Communications [18]. ITU Journal: ICT Discoveries, Special Issue No. 1

R.L.G. Cavalcante and M. Kasparick and S. Stanczak (2017). Max-Min Utility Optimization in Load Coupled Interference Networks [19]. IEEE Transactions on Wireless Communications, vol. 16, no. 2, pp. 705-716, Feb. 2017

Qi Liao and R. L. G. Cavalcante (2017). Improving Resource Efficiency with Partial Resource Muting for Future Wireless Networks [20]. Proc. IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Oct. 2017

J. Mohammadi and S. Limmer and S. Stanczak (2016). A Decentralized Eigenvalue Computation Method for Spectrum Sensing Based on Average Consensus [21]. Frequenz, July 2016

R.L.G. Cavalcante and S. Stanczak and J. Zhang and H. Zhuang (2016). Low complexity iterative algorithms for power estimation in ultra-dense load coupled networks [22]. IEEE Trans. Signal Processing, vol. 64, no. 22, pp. 6058-6070, Nov. 2016

R.L.G. Cavalcante and Y. Shen and S. Stanczak (2016). Elementary Properties of Positive Concave Mappings With Applications to Network Planning and Optimization [23]. IEEE Trans. Signal Processing, vol. 64, no. 7, pp. 1774-1783, April 2016

E. Pollakis and R.L.G. Cavalcante and S. Stanczak (2016). Traffic Demand-Aware Topology Control for Enhanced Energy-Efficiency of Cellular Networks [24]. EURASIP Journal on Wireless Communications and Networks, vol. 2016, no. 1, pp. 1-17, Feb. 2016

T. Wirth, K.-J. Friederichs, R. Halfmann, T. Haustein, B. Holfeld, M. Mehlhose, J. Pilz and D. Wieruch (2016). Real-time demonstration of optimized spectrum usage with LSA carrier aggregation [25]. Frequenz, Journal of RF-Engineering and Telecommunications, vol. 70, no. 7, pp. 301-308, July 2016, doi: 10.1515/freq-2015-0215

G. Cao and P. Jung and S. Stanczak and F. Yu (2016). Data Aggregation and Recovery in Wireless Sensor Networks Using Compressed Sensing [26]. International Journal of Sensor Networks (IJSNet), 209-219.

S. Maghsudi and S. Stanczak (2015). Joint Channel Selection and Power Control in Infrastructureless Wireless Networks: A Multiplayer Multiarmed Bandit Framework [27]. IEEE Trans. Veh. Technol., 4565-4578.

M. Kasparick and R. L. G. Cavalcante and S. Valentin and S. Stanczak and M. Yukawa (2015). Kernel-Based Adaptive Online Reconstruction of Coverage Maps With Side Information [28]. IEEE Transactions on Vehicular Technology, vol. 65, no. 7, pp. 5461-5473, July 2016 (also available at http://arxiv.org/abs/1404.0979)

S. Maghsudi and S. Stanczak (2015). Hybrid Centralized-Distributed Resource Allocation for Device-to-Device Communication Underlaying Cellular Networks [29]. IEEE Trans. Veh. Technol., 2481-2495.

M. Goldenbaum and H. Boche and S. Stanczak (2015). Nomographic Functions: Efficient Computation in Clustered Gaussian Sensor Networks [30]. IEEE Trans. Wireless Commun., 2093–2105.

S. Maghsudi and S. Stanczak (2015). Channel Selection for Network-Assisted D2D Communication via No-Regret Bandit Learning With Calibrated Forecasting [31]. IEEE Transactions on Wireless Communications, 1309-1322.

F. Penna and S. Stanczak (2015). Decentralized Eigenvalue Algorithms for Distributed Signal Detection in Cognitive Networks [32]. IEEE Transactions on Signal Processing, 63(2):427-440, Jan. 2015

R. Cavalcante and S. Stanczak and M. Schubert and A. Eisenblätter and U. Türke (2014). Toward Energy-Efficient 5G Wireless Communications Technologies [33]. IEEE Signal Processing Magazine, vol. 31, no. 6, pp. 24-34, Nov. 2014

M. Goldenbaum and S. Stanczak (2014). On the Channel Estimation Effort for Analog Computation Over Wireless Multiple-Access Channels [34]. IEEE Wireless Communications Letters, 261-264.

G. Cao and P. Jung and S. Stanczak (2014). Low Cost Error Correction for Multi-hop Data Aggregation Using Compressed Sensing [35]. IEICE Trans. on Information and System

A. Giovanidis and Q. Liao and S. Stanczak (2014). Measurement-Adaptive Cellular Random Access Protocols [36]. Wireless Networks. Springer Verlag (Germany), 1495-1514.

M. Goldenbaum and H. Boche and S. Stanczak (2013). Harnessing Interference for Analog Function Computation in Wireless Sensor Networks [37]. IEEE Transactions on Signal Processing, 4893–4906.

M. Goldenbaum and S. Stanczak (2013). Robust Analog Function Computation via Wireless Sensor Multiple-Access Channels [38]. IEEE Transactions on Communications, 3863-3877.

M. Vasirani, R. Kota, R. L. G. Cavalcante, S. Ossowski and N. R. Jennings (2013). An Agent-Based Approach to Virtual Power Plants of Wind Power Generators and Electric Vehicles [39]. IEEE Transactions on Smart Grid , vol. 4, no. 3, pp. 1314-1322, Sept. 2013

M. Zheng and P. Pawelczak and S. Stanczak and H. Yu (2013). Planning of Cellular Networks Enhanced by Energy Harvesting [40]. IEEE Communications Letters, 1092–1095.

R.L.G. Cavalcante and S. Stanczak (2013). A Distributed Subgradient Method for Dynamic Convex Optimization Problems under Noisy Information Exchange [41]. IEEE Journal of Selected Topics in Signal Processing, vol. 7, no. 2, pp. 243-256, April 2013

R. Ahlswede and I. Bjelakovic and H. Boche and J. Nötzel (2013). Quantum Capacity under adversarial quantum noise: arbitrarily varying quantum channels [42]. Communications in Mathematical Physics, Volume 317, Issue 1, pp 103–156, https://doi.org/10.1007/s00220-012-1613-x

I. Bjelakovic and H. Boche and J. Sommerfeld (2013). Secrecy results for compound wiretap channels [43]. Problems of Information Transmission, Volume 49, Issue 1, pp 73–98, https://doi.org/10.1134/S0032946013010079

I. Bjelakovic and H. Boche and G. Janssen (2013). Universal quantum state merging [44]. Journal of Mathematical Physics, Vol. 54, 032204, https://doi.org/10.1063/1.4795243

I. Koutsopoulos and S. Stanczak (2012). The Impact of Transmit Rate Control on Energy-efficient Estimation in Wireless Sensor Networks [45]. IEEE Trans. Wireless Commun., 3261–3271.

R. L. G. Cavalcante, A. Rogers, N. R. Jennings and I. Yamada (2011). Distributed Asymptotic Minimization of Sequences of Convex Functions by a Broadcast Adaptive Subgradient Method [46]. IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 4, pp. 739-753, Aug. 2011

A. Giovanidis and S. Stanczak (2011). Stability and Distributed Power Control in MANETs with Per Hop Retransmissions [47]. IEEE Transactions on Communications, 1632 -1643.

M. Wiese and H. Boche and I. Bjelakovic and V. Jungnickel (2011). The Compound Multiple Access Channel with Partially Cooperating Encoders [48]. IEEE Trans. Inf. Theory, Vol. 57. No. 5, pp 3045-3066, Special Issue on Interference Networks

S. Stanczak and M. Kaliszan and N. Bambos (2010). A Characterization of Max-Min SIR-Balanced Power Allocation with Applications [49]. Wireless Networks (Springer), 2335–2347.

S. Stanczak and A. Feistel and M. Wiczanowski and H. Boche (2010). Utility-based Power Control with QoS Support [50]. Wireless Networks (Springer), 1691–1705.

A. Feistel and S. Stanczak and D. Tomecki (2010). Joint Utility-Based Power Control and Receive Beamforming in Decentralized Wireless Networks [51]. EURASIP Journal on Wireless Communications and Networking.

R. L. G. Cavalcante and B. Mulgrew (2010). Adaptive filter algorithms for accelerated discrete-time consensus [52]. IEEE Trans. Signal Processing, vol. 58, no. 3, pp. 1049-1058, March 2010

S. Stanczak and M. Kaliszan and N. Bambos (2010). Decentralized Admission Control for Power-Controlled Wireless Links [53]. CoRR

R.F. Wyrembelsky and I. Bjelakovic and T.J. Oechtering and H. Boche (2010). Capacity of Bidirectional Broadcast Channels under Channel Uncertainty [54]. IEEE Trans. Commun. vol. 58, no. 10, pp 2984-2994

R. L. G. Cavalcante, I. Yamada, and B. Mulgrew (2009). An Adaptive Projected Subgradient Approach to Learning in Diffusion Networks [55]. IEEE Trans. Signal Processing,vol. 57, no. 7, pp. 2762-2774, July 2009

R. L. G. Cavalcante and I. Yamada (2009). A flexible peak-to-average power ratio reduction scheme for OFDM systems by the adaptive projected subgradient method [56]. IEEE Trans. Signal Processing, vol. 57, no. 4, pp. 1456-1468, April 2009

T. Piotrowski, R. L. G. Cavalcante, and I. Yamada (2009). Stochastic MV-PURE Estimator–-Robust Reduced-Rank Estimator for Stochastic Linear Model [57]. IEEE Trans. Signal Processing, vol. 57, no. 4, pp. 1293-1303, April 2009

M. Wiczanowski and H. Boche and S. Stanczak (2009). An Algorithm for Optimal Resource Allocation in Cellular Networks with Elastic Traffic [58]. IEEE Transactions on Communications, 41–44.

I. Bjelakovic and H. Boche (2009). Classical Capacities of Compound and Averaged Quantum Channels [59]. IEEE Trans. Inf. Theory 55, No. 7, pp 3360-3374

I. Bjelakovic and H. Boche and J. Nötzel (2009). Entanglement transmission and generation under channel uncertainty: Universal quantum channel coding [60]. Communications in Mathematical Physics, Volume 292, Issue 1, pp 55–97, https://doi.org/10.1007/s00220-009-0887-0

H. Boche and S. Stanczak (2008). Strict Convexity of the Log-SIR region [61]. IEEE Transactions on Communications, 1511–1518.

R. Hernangómez and A. Santra and S. Stanczak (2019). Human Activity Classification with Frequency Modulated Continuous Wave Radar Using Deep Convolutional Neural Networks [69]. RADAR 2019 International Conference, 23-27 Sept. 2019, Toulon, France

I. Bjelakovic, M. Frey and S. Stanczak (2019). Distributed Approximation of Functions over Fast Fading Channels with Applications to Distributed Learning and the Max-Consensus Problem [70]. 57th Annual Allerton Conference on Communication, Control, and Computing, 24-27 Sept. 2019 in Urbana, IL, USA

J. Fink and D. Schäufele and M. Kasparick and R. L.G. Cavalcante and S. Stanczak (2019). Cooperative localization by set-theoretic estimation [71]. 23rd International ITG Workshop on Smart Antennas (WSA), April 24-26, 2019 in Vienna, Austria

Ramya Panthangi Manjunath and Mate Boban and Chan Zhou and Slawomir Stanczak (2019). Using Learning Methods for V2V Path Loss Prediction [72]. Phy & Fundamentals of the IEEE WCNC 2019 conference, in Marrakech, Morocco, April 15-18

R. Ismayilov, B. Holfeld, R. L.G. Cavalcante and M. Kaneko (2019). Power and Beam Optimization for Uplink Millimeter-Wave Hotspot Communication Systems [73]. IEEE Wireless Communications and Networking Conference, 15-19 April 2019 in Marrakech, Morocco

Renato L.G. Cavalcante and Slawomir Stanczak (2019). Weakly standard interference mappings: existence of fixed points and applications to power control in wireless networks [74]. International Conference on Acoustics, Speech, and Signal Processing, 12 - 17 May, 2019 in Brighton, UK

J. Fink and R. L.G. Cavalcante and S. Stanczak (2019). Multicast beamforming using semidefinite reflaxation and bounded perturbation resilience [75]. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 12 - 17 May, 2019 in Brighton, UK (to appear)

N. Agrawal, M. Frey and S. Stanczak (2019). A Scalable Max-Consensus Protocol For Noisy Ultra-Dense Networks [76]. IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2-5 July 2019, Cannes, France

Z. Utkovski, P. Agostini, M. Frey, I. Bjelakovic and S. Stanczak (2019). Learning Radio Maps for Physical-Layer Security in the Radio Access [77]. IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2-5 July 2019, Cannes, France

D. Schäufele, R. L.G. Cavalcante and S. Stanczak (2019). Tensor Completion for Radio Map Reconstruction using Low Rank and Smoothness [78]. IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

R. Panthangi Manjunath, M. Boban, C. Zhou and S. Stanczak (2019). Online Learning Framework for V2V Link Quality Prediction [79]. IEEE GLOBECOM 2019, December 9 – 13, in Waikoloa, Hawaii, USA

J. Dommel, Z. Utkovski, L. Thiele and S. Stanczak (2019). Sparse Code-Domain Non-Orthogonal Random Access with Turbo-Peeling Decoder [80]. Asilomar Conference on Signals, Systems, and Computers (Nov 3-6, 2019) in Pacific Grove, CA, USA

M. Frey and I. Bjelakovic and S. Stanczak (2018). Resolvability on Continuous Alphabets [81]. IEEE International Symposium on Information Theory (ISIT)

J. Fink and R. L.G. Cavalcante and P. Jung and S. Stanczak (2018). Extrapolated Projection Methods for PAPR Reduction [82]. 26th European Signal Processing Conference (EUSIPCO 2018), Sept. 2018

D. A. Awan and R.L.G. Cavalcante and M. Yukawa and S. Stanczak (2018). Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach [83]. IEEE International Conference on Communications (ICC), Kansas City, MO, USA.

L. Miretti and R.L.G. Cavalcante and S. Stanczak (2018). FDD massive MIMO channel spatial covariance conversion using projection methods [84]. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

D. A. Awan and R.L.G. Cavalcante and S. Stanczak (2018). A robust machine learning method for cell-load approximation in wireless networks [85]. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Alberta, Canada.

R. L. G. Cavalcante and L. Miretti and S. Stanczak (2018). Error Bounds for FDD Massive MIMO Channel Covariance Conversion with Set-Theoretic Methods [86]. Proc. IEEE Global Telecommunications Conference (GLOBECOM), Dec. 2018 (to appear)

F. Molinari and S. Stanczak and J. Raisch (2018). Exploiting the Superposition Property of Wireless Communication for Max-Consensus Problems in Multi-Agent Systems [87]. European Control Conference, Limassol, Cyprus, June 12-15

P. Agostini and Z. Utkovski and S. Stanczak and J. Pilz (2018). Scalable massive random access in C-RAN with fronthaul limitations [88]. 15th International Symposium on Wireless Communication Systems (ISWCS) 2018

R. L. G. Cavalcante and S. Stanczak (2018). Spectral radii of asymptotic mappings and the convergence speed of the standard fixed point algorithm [89]. Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2018

B.-S. Shin, M. Yukawa, R. L. G. Cavalcante, and A. Dekorsy (2018). A hybrid dictionary approach for distributed kernel adaptive filtering in diffusion networks [90]. Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, Canada, 15-20 April 2018

D. A. Awan, R. L.G. Cavalcante, Z. Utkovski and S. Stanczak (2018). Set-theoretic learning for detection in cell-less C-RAN systems [91]. 6th IEEE Global Conference on Signal and Information Processing, California, USA, Nov. 26-18, 2018

L. Miretti, R. L.G. Cavalcante and S. Stanczak (2018). Downlink channel spatial coveriance estimation in realistic FDD massive MIMO systems [92]. 6th IEEE Global Conference on Signal and Information Processing, Anaheim, California, USA, Nov. 26-29, 2018

M.A. Gutierrez-Estevez and R.L.G. Cavalcante and S. Stanczak (2018). Nonparametric Radio Maps Reconstruction via Elastic Net Regularization with Multi-Kernels [93]. IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

M. Raceala-Motoc and P. Jung and Z. Utkovski and S. Stanczak (2018). C-RAN-Assisted Non-Coherent Grant-Free Random Access Based on Compute-and-Forward [94]. IEEE GLOBECOM 2018

M. Raceala-Motoc and S. Limmer and I. Bjelakovic and S. Stanczak (2018). Distributed Machine Learning in the Context of Function Computation over Wireless Networks [95]. 52nd Asilomar Conference on Signals, Systems and Computers 2018, Preprint.

Renato L. G. Cavalcante and Slawomir Stanczak (2018). Low-complexity distributed set-theoretic decoders for analog fountain codes [96]. 52nd Asilomar Conference on Signals, Systems and Computers 2018, Preprint.

R. L. G. Cavalcante and S. Stanczak (2017). The role of asymptotic functions in network optimization and feasibility studies [97]. 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 563-567.

M. Frey and I. Bjelakovic and S. Stanczak (2017). MAC resolvability: First and second order results [98]. 2017 IEEE Conference on Communications and Network Security (CNS), 560-564.

J. Dommel and S. Faehse and L. Thiele (2017). On Power Allocation and User Grouping for Sparse Coded Non-Orthogonal Multiple Access in the Downlink [99]. IEEE 86th Vehicular Technology Conference (VTC-Fall), page 1-4, Sept.

M. Vural and P. Jung and S. Stanczak (2017). A new outlier detection method based on anti-sparse representations [100]. 2017 25th Signal Processing and Communications Applications Conference (SIU), 1-4.

M. Vural and P. Jung and S. Stanczak (2017). Effect of anti-sparse prior on PAPR performance analysis [101]. 2017 25th Signal Processing and Communications Applications Conference (SIU), 1-4.

M. A. Gutierrez-Estevez and S. Stanczak (2017). Distributed Multi-Object Auctions for Energy Transfer between Harvesting Nodes [102]. WSA 2017; 21th International ITG Workshop on Smart Antennas, 1-7.

R. L. G. Cavalcante and S. Stanczak (2017). Peak Load Minimization in Load Coupled Interference Networks [103]. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

J. Dommel and HHI/ VCA (2017). Multiuser Superposition-based Coordinated Multipoint Transmission [104]. ITG Workshop in Smart Antennas

T. Wirth, M. Mehlhose, L. Thiele and T. Haustein (2017). Proof-of-Concept of Flexible Massive MIMO Beamforming at 2.4 GHz [105]. Signals, Systems and Computers (Asilomar Conference), Pacific Grove, CA, USA, Nov 2017

M. Botsov and S. Stanczak and P. Fertl (2016). On the Overhead of Radio Resource Management Schemes for Mobile Underlay D2D Communication [106]. IEEE Vehicular Networking Conference (VNC)

M. A. Gutierrez-Estevez and R. L. G. Cavalcante and S. Stanczak and J. Zhang and H. Zhuang (2016). A Distributed Solution for Proportional Fairness Optimization in Load Coupled OFDMA Networks [107]. IEEE Global Conference on Signal and Information Processing (GlobalSIP)

D. Amir Awan and R. L.G. Cavalcante and S. Stanczak (2016). Distributed RAN and backhaul optimization for energy efficient wireless networks [108]. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Washington , D.C., USA.

T. Wirth and L. Thiele and M. Kurras and M. Mehlhose and T. Haustein (2016). Massive mimo proof-of-concept: Emulations and hardware-field trials at 3.5 ghz [109]. 50th Asilomar Conference on Signals, Systems and Computers, pp. 1793–1798, Nov 2016

M. Raceala-Motoc and J. Schreck and P. Jung and S. Stanczak (2016). Robust Message Recovery for Non-Cooperative Compute-and-Forward Relaying [110]. 50th Annual Asilomar Conference on Signals, Systems, and Computers

M. Goldenbaum and P. Jung and M. Raceala-Motoc and S. Stanczak and C. Zhou (2016). Harnessing Channel Collisions to Efficiently Deal with the Massive Access in 5G Networks [111]. 9th International Symposium on Turbo Codes & Iterative Information Processing 2016 - Workshop 5G: 5G for Internet of Things

M. A. Gutierrez-Estevez and D. Gozalvez-Serrano and M. Botsov and S. Stanczak (2016). STFDMA: A Novel Technique for Ad-Hoc V2V Networks Exploiting Radio Channels Frequency Diversity [112]. 13th International Symposium on Wireless Communication Systems (ISWCS)

S. Limmer and S. Stanczak (2016). Towards optimal nonlinearities for sparse recovery using higher-order statistics [113]. IEEE International Workshop on Machine Learning For Signal Processing (MLSP)

M. Botsov S. Stanczak P. Fertl (2016). Optimized Zone Design for Location-based Resource Allocation in Mobile D2D Underlay Networks [114]. 13th International Symposium on Wireless Communication Systems (ISWCS)

I. Bjelakovic and J. Mohammadi and S. Stanczak (2016). Strong Secrecy and Stealth for Broadcast Channels with Confidential Messages [115]. IEEE International Symposium on Information Theory (ISIT 2016)

M. Kaliszan and G. Caire and S. Stanczak (2016). On the Throughput Rate of Wireless Multipoint Multicasting [116]. IEEE International Symposium on Information Theory (ISIT 2016)

K. Ralinovski and M. Goldenbaum and S. Stanczak (2016). Energy-Efficient Classification for Anomaly Detection: The Wireless Channel as a Helper [117]. IEEE International Conference on Communications (ICC)

J. Pilz and M. Mehlhose and T. Wirth and D. Wieruch and B. Holfeld and T. Haustein (2016). A tactile internet demonstration: 1ms ultra low delay for wireless communications towards 5g [118]. IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 862–863, April 2016