S. Stanczak and M. Wiczanowski and H. Boche (2009). Fundamentals of Resource Allocation in Wireless Networks [6]. 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 [7]. Lecture Notes in Computer Science (LNCS 4000). Springer, Berlin, 2006. Springer, Berlin.

D. A. Awan, R.L.G. Cavalcante, M. Yukawa and S. Stanczak (2020). Adaptive Learning for Symbol Detection [8]. Machine Learning for Future Wireless Communications. Wiley & IEEE Press, 15.

S. Maghsudi and S. Stanczak (2015). Communications in Interference-Limited Networks [9]. 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 [10]. 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 [11]. 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.

S. Stanczak and H. Boche (2005). Towards a better understanding of the QoS tradeoff in multiuser multiple antenna systems [12]. Smart Antennas–State-of-the-Art. Hindawi Publishing Corporation, 521-543.

D. A. Awan, Renato L.G. Cavalcante and Slawomir Stanczak (2020). Robust Cell-Load Learning with a Small Sample Set [13]. IEEE Transactions on Signal Processing (TSP), 68:270-283.

R. Hernangómez, A. Santra, S. Stanczak (2020). A Study on Feature Processing Schemes for Deep-Learning-Based Human Activity Classification Using Frequency-Modulated Continuous-Wave Radar [14]. IET Radar, Sonar & Navigation, Volume 14, Issue 7, July 2020, 10 pp.

Cheng-Xiang Wang, Marco Di Renzo, Slawomir Stanczak, Sen Wang, Erik G. Larsson (2020). Artificial Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and Future Challenges [15]. IEEE Wireless Communications Magazine, February 2020/Intelligent Radio: When Artificial Intelligence Meets Radio Network

R. L.G. Cavalcante, Q. Liao and S. Stanczak (2019). Connections between spectral properties of asymptotic mappings and solutions to wireless network problems [16]. IEEE Transactions on Signal Processing, Feb. 2019 (accepted)

S. Limmer and S. Stanczak (2018). A Neural Architecture for Bayesian Compressive Sensing over the Simplex via Laplace Techniques [17]. 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 [18]. 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 [19]. IEEE Transactions on Wireless Communications

W. Samek and S. Stanczak and T. Wiegand (2017). The Convergence of Machine Learning and Communications [20]. 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 [21]. IEEE Transactions on Wireless Communications, vol. 16, no. 2, pp. 705-716, Feb. 2017

J. Mohammadi and S. Limmer and S. Stanczak (2016). A Decentralized Eigenvalue Computation Method for Spectrum Sensing Based on Average Consensus [22]. 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 [23]. 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 [24]. 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 [25]. EURASIP Journal on Wireless Communications and Networks, vol. 2016, no. 1, pp. 1-17, Feb. 2016

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. Zheng and P. Pawelczak and S. Stanczak and H. Yu (2013). Planning of Cellular Networks Enhanced by Energy Harvesting [39]. 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 [40]. IEEE Journal of Selected Topics in Signal Processing, vol. 7, no. 2, pp. 243-256, April 2013

I. Koutsopoulos and S. Stanczak (2012). The Impact of Transmit Rate Control on Energy-efficient Estimation in Wireless Sensor Networks [41]. IEEE Trans. Wireless Commun., 3261–3271.

A. Giovanidis and S. Stanczak (2011). Stability and Distributed Power Control in MANETs with Per Hop Retransmissions [42]. IEEE Transactions on Communications, 1632 -1643.

S. Stanczak and M. Kaliszan and N. Bambos (2010). A Characterization of Max-Min SIR-Balanced Power Allocation with Applications [43]. Wireless Networks (Springer), 2335–2347.

S. Stanczak and A. Feistel and M. Wiczanowski and H. Boche (2010). Utility-based Power Control with QoS Support [44]. 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 [45]. EURASIP Journal on Wireless Communications and Networking.

S. Stanczak and M. Kaliszan and N. Bambos (2010). Decentralized Admission Control for Power-Controlled Wireless Links [46]. CoRR

M. Wiczanowski and H. Boche and S. Stanczak (2009). An Algorithm for Optimal Resource Allocation in Cellular Networks with Elastic Traffic [47]. IEEE Transactions on Communications, 41–44.

H. Boche and S. Stanczak (2008). Strict Convexity of the Log-SIR region [48]. IEEE Transactions on Communications, 1511–1518.

M. Wiczanowski and S. Stanczak and H. Boche (2008). Performance and Interference Control in Wireless Ad hoc and Mesh Networks— A Generalized Lagrangian Approach [49]. IEEE Transactions on Signal Processing, 4039–4052.

M. Wiczanowski and S. Stanczak and H. Boche (2008). Providing Quadratic Convergence of Decentralized Power Control in Wireless Networks—The Method of Min-Max Functions [50]. IEEE Transactions on Signal Processing, 4053–4068.

H. Boche and M. Wiczanowski and S. Stanczak (2008). On Optimal Resource Allocation in Cellular Networks with Best-Effort Traffic [51]. IEEE Transactions on Wireless Communications, 1163–1167.

S. Stanczak and M. Wiczanowski and H. Boche (2007). Distributed Utility-Based Power Control: Objectives and Algorithms [52]. IEEE Trans. Signal Processing, 5058–5068.

H. Boche and S. Stanczak (2007). A Note on Some Properties of the Perron Root of Nonnegative Irreducible Matrices [53]. Appl. Alg. Eng. Comm. Comp., 369–378.

S. Stanczak and H. Boche (2007). On the Convexity of Feasible QoS Regions [54]. IEEE Transactions on Information Theory, 779-783.

H. Boche and M. Wiczanowski and S. Stanczak (2007). Unifying View on Min-Max Fairness, Max-Min Fairness, and Utility Optimization in Cellular Networks [55]. EURASIP J. Wireless Commun. and Net.

H. Boche and S. Stanczak (2006). The Kullback–Leibler Divergence and Nonnegative Matrices [56]. IEEE Transactions on Information Theory, 5539-5545.

S. Stanczak and H. Boche (2006). The Infeasible SIR Region Is Not a Convex Set [57]. IEEE Transactions on Communications, 1905-1907.

S. Stanczak and G. Wunder and H. Boche (2006). On Pilot-based Multipath Channel Estimation for Uplink CDMA Systems: An Overloaded Case [58]. IEEE Trans. Signal Processing, 512-519.

H. Boche and S. Stanczak (2005). Log-Convexity of the Minimum Total Power in CDMA Systems with Certain Quality-Of-Service Guaranteed [59]. IEEE Transactions on Information Theory, 374-381.

H. Boche and S. Stanczak (2004). Convexity of Some Feasible QoS Regions and Asymptotic Behavior of the Minimum Total Power in CDMA Systems [60]. IEEE Transactions on Communications, 2190-2197.

H. Boche and S. Stanczak (2004). On Systems of Linear Equations with Nonnegative Coefficients [61]. Appl. Alg. Eng. Comm. Comp., 397-414.

H. Boche and S. Stanczak (2003). Optimal allocation of resources in an asynchronous CDMA channel with identical SINR requirements for all users [62]. IEICE Trans. on Communications, 397-405.