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1. Wireless communications
by Goldsmith, Andrea, 1964
2005, ISBN 0521837162, Volume 9780521837163, xxviii, 644
Wireless communication systems
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2. Full Text Intrinsic Capacity
by Yang, Shengtian and Xu, Rui and Chen, Jun and Zhang, Jian-Kang
IEEE transactions on information theory, ISSN 0018-9448, 03/2019, Volume 65, Issue 3, pp. 1345 - 1360
Integrated circuits | Channel capacity | Probability distribution | Decoding | Device-to-device communication | state information | Indexes | Birkhoff-von Neumann theorem | deterministic channel | channel capacity | Channels
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3. Full Text Massive MIMO Has Unlimited Capacity
by Bjornson, Emil and Hoydis, Jakob and Sanguinetti, Luca
IEEE transactions on wireless communications, ISSN 1536-1276, 01/2018, Volume 17, Issue 1, pp. 574 - 590
pilot contamination | Channel estimation | Rayleigh channels | Massive MIMO | ergodic capacity | asymptotic analysis | MIMO | spatial correlation | multi-cell MMSE processing | Covariance matrices | Uplink | Contamination | Engineering, Electrical & Electronic | Engineering | Telecommunications | Technology | Science & Technology
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4. Full Text Control Capacity
by Ranade, Gireeja and Sahai, Anant
IEEE transactions on information theory, ISSN 0018-9448, 01/2019, Volume 65, Issue 1, pp. 235 - 254
Actuators | Uncertainty | Channel capacity | Computational modeling | Stochastic systems | robust controlv side-information | Stability analysis | Artificial intelligence | adaptive systems | Computer Science, Information Systems | Engineering, Electrical & Electronic | Engineering | Technology | Computer Science | Science & Technology | Linear systems | Energy dissipation | Eigenvalues | Actuation | Control stability | Feedback control
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5. Full Text Energy-Efficient Optimal Power Allocation for Fading Cognitive Radio Channels: Ergodic Capacity, Outage Capacity, and Minimum-Rate Capacity
by Fuhui Zhou and Beaulieu, Norman C and Zan Li and Jiangbo Si and Peihan Qi
IEEE transactions on wireless communications, ISSN 1536-1276, 04/2016, Volume 15, Issue 4, pp. 2741 - 2755
Fading | Measurement | interference power constraint | outage capacity | Interference | Cognitive radio | transmit power constraint | power allocation strategies | fading channels | Green products | energy efficiency | ergodic capacity | Resource management | minimum rate capacity | spectrum sharing | Engineering, Electrical & Electronic | Engineering | Telecommunications | Technology | Science & Technology | Optimization techniques | Energy efficiency | Transmitters | Radio networks | Receivers & amplifiers | Networks | Allocations | Strategy | Energy management | Channels
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6. Full Text A vector-perturbation technique for near-capacity multiantenna multiuser communication-part II: perturbation
by Hochwald, B.M and Peel, C.B and Swindlehurst, A.L
IEEE transactions on communications, ISSN 0090-6778, 03/2005, Volume 53, Issue 3, pp. 537 - 544
Broadcast channel | Antenna theory | Transmitting antennas | Scattering | Tomlinson-Harashima precoding | Decoding | multiple-input multiple-output (MIMO) | Multiaccess communication | sphere encoder | Transmitters | multiple-antenna multiple-user wireless | spatial equalization | Intersymbol interference | dirty-paper coding | Turbo codes | MIMO | Signal to noise ratio | Spatial equalization | Multiple-antenna multiple-user wireless | Sphere encoder | Dirty-paper coding | Multiple-input multi-output (MIMO) | Engineering, Electrical & Electronic | Engineering | Telecommunications | Technology | Science & Technology | Signal and communications theory | Radiocommunications | Coding, codes | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Applied sciences | Information, signal and communications theory | Detection, estimation, filtering, equalization, prediction | Antennas | Mobile communication systems | Wireless communication systems | Algorithms | Research | Perturbation (Mathematics) | Antennas (Electronics) | Studies | Coders | Energy use | Energy transmission | Inverse | Perturbation | Channels | Encoders
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7. Full Text Probing Capacity
by Asnani, H and Permuter, H and Weissman, T
IEEE transactions on information theory, ISSN 0018-9448, 11/2011, Volume 57, Issue 11, pp. 7317 - 7332
Computers | Shannon channel | Gel'fand-Pinsker channel | Actions | probing capacity | channel with states | Decoding | Channel coding | Channel state information | cost constraints | Computer Science, Information Systems | Engineering, Electrical & Electronic | Engineering | Technology | Computer Science | Science & Technology | Signal and communications theory | Radiocommunications | Coding, codes | Telecommunications and information theory | Systems, networks and services of telecommunications | Exact sciences and technology | Applied sciences | Information, signal and communications theory | Transmission and modulation (techniques and equipments) | Transmitters. Receivers | Telecommunications | Information theory | Error-correcting codes | Research | Decoders | Transmitters | Reliability | Communication | Coders | Messages | Constraints | Mathematical analysis | Tradeoffs | Channels | Encoders
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8. Full Text Secrecy Capacity Analysis Over \kappa – \mu Fading Channels: Theory and Applications
by Bhargav, Nidhi and Cotton, Simon L and Simmons, David E
IEEE transactions on communications, ISSN 0090-6778, 07/2016, Volume 64, Issue 7, pp. 3011 - 3024
Rayleigh channels | κ - μ fading">κ - μ fading | co-channel interference | vehicular communications | Communication system security | Wireless communication | device-to-device communications | Wireless sensor networks | Body centric communications | fading channels | secrecy capacity | Numerical models | Capacity planning | Engineering, Electrical & Electronic | Engineering | Telecommunications | Technology | Science & Technology | Fading channels | Research | Fading | Outages | Effectiveness | Computer simulation | Mathematical analysis | Mathematical models | Gaussian | Channels
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9. Full Text Capacity Bounds for Additive Symmetric \alpha -Stable Noise Channels
by de Freitas, Mauro L and Egan, Malcolm and Clavier, Laurent and Goupil, Alban and Peters, Gareth W and Azzaoui, Nourddine
IEEE transactions on information theory, ISSN 0018-9448, 08/2017, Volume 63, Issue 8, pp. 5115 - 5123
Gaussian noise | convergence | Interference | channel capacity | Probability density function | Approximation algorithms | Random variables | Electronic mail | information theory | Optimization | wireless communication | optimization | Computer Science, Information Systems | Engineering, Electrical & Electronic | Engineering | Technology | Computer Science | Science & Technology | Random noise theory | Electronic mail systems | Density functionals | Approximation theory | Research | Mathematical optimization | Lower bounds | Random noise | Wireless communications | Approximation | Noise | Normal distribution | Mathematical models | Channels | Signal and Image Processing | Mathematics | Information Theory | Engineering Sciences | Networking and Internet Architecture
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10. Full Text Capacity-Achieving Distributions for the Discrete-Time Poisson Channel-Part I: General Properties and Numerical Techniques
by Jihai Cao and Hranilovic, Steve and Jun Chen
IEEE transactions on communications, ISSN 0090-6778, 01/2014, Volume 62, Issue 1, pp. 194 - 202
Annealing | Upper bound | Channel capacity | Dark current | deterministic annealing | capacity-achieving distributions | Channel models | Discrete-time Poisson channel | Mutual information | Photonics | Engineering, Electrical & Electronic | Engineering | Telecommunications | Technology | Science & Technology | Switching and signalling | Telecommunications and information theory | Systems, networks and services of telecommunications | Exact sciences and technology | Applied sciences | Transmission and modulation (techniques and equipments) | Discrete-time systems | Poisson's equation | Fading channels | Usage | Numerical analysis | Analysis | Innovations | Algorithms | Communication channels | Lower bounds | DTP | Amplitudes | Mathematical analysis | Channels | Optimization
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11. Full Text Capacity Limits of Optical Fiber Networks
by Essiambre, R.-J and Kramer, G and Winzer, P.J and Foschini, G.J and Goebel, B
Journal of lightwave technology, ISSN 0733-8724, 02/2010, Volume 28, Issue 4, pp. 662 - 701
Optical filters | detection | Phase modulation | Communication systems | fiber nonlinearity | channel coding | modulation | optical networks | Optical fiber networks | Amplitude modulation | Amplified spontaneous emission | information rates | Raman scattering | noise | Optical fiber communication | Optical fiber theory | Brillouin scattering | Optical noise | Information theory | Signal to noise ratio | information theory | Engineering | Physical Sciences | Technology | Engineering, Electrical & Electronic | Optics | Telecommunications | Science & Technology | Signal and communications theory | Telecommunications and information theory | Modulation, demodulation | Optical fiber communications | Systems, networks and services of telecommunications | Exact sciences and technology | Applied sciences | Information, signal and communications theory | Transmission and modulation (techniques and equipments) | Optical telecommunications | Noise | Optical fibers | Networks | Modulation | Estimates | Channels | Constellations | Fibers
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