Resource Optimization in Wireless Communications
portes grátis
Resource Optimization in Wireless Communications
Fundamentals, Algorithms, and Applications
Wu, Sau-Hsuan; Shen, Li-Hsiang; Yang, Lie-Liang; Feng, Kai-Ten; Shi, Jia; Lee, Ta-Sung
Elsevier Science Publishing Co Inc
01/2025
400
Mole
9780443300929
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Preface
2. Multicarrier Communications and Orthogonal Frequency-Division Multiplexing
3. General Theory for Resource-Allocation inWireless Communications
4. Power-Allocation
5. Subcarrier Allocation
6. Beam and Channel Acquisitions in mmWave Systems
7. Beam-Based Resource-Allocation in MIMO-OFDM Networks
8. Game-Theory Assisted Resource-Allocation
9. Machine/Deep Learning Based Resource-Allocation
10. Deep Reinforcement Learning Aided Resource-Allocation in Ultra-Dense Networks
11. Resource-Allocation in Multicell OFDMA Systems
12. Distributed Resource-Allocation in Multicell MC/DS-CDMA Systems
13. Resource Allocation for Ultra-Reliable Low-Latency Communications
14. Resource-Allocation in Massive Machine Type Communications
15. Reflective Intelligent Surface Assisted mmWave Systems
16. Orthogonal Time-Frequency-Space (OTFS) and Related Systems
17. Integrated Sensing and Communications (ISAC) Systems
2. Multicarrier Communications and Orthogonal Frequency-Division Multiplexing
3. General Theory for Resource-Allocation inWireless Communications
4. Power-Allocation
5. Subcarrier Allocation
6. Beam and Channel Acquisitions in mmWave Systems
7. Beam-Based Resource-Allocation in MIMO-OFDM Networks
8. Game-Theory Assisted Resource-Allocation
9. Machine/Deep Learning Based Resource-Allocation
10. Deep Reinforcement Learning Aided Resource-Allocation in Ultra-Dense Networks
11. Resource-Allocation in Multicell OFDMA Systems
12. Distributed Resource-Allocation in Multicell MC/DS-CDMA Systems
13. Resource Allocation for Ultra-Reliable Low-Latency Communications
14. Resource-Allocation in Massive Machine Type Communications
15. Reflective Intelligent Surface Assisted mmWave Systems
16. Orthogonal Time-Frequency-Space (OTFS) and Related Systems
17. Integrated Sensing and Communications (ISAC) Systems
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
4G LTE/LTE-A; 5G new radios; 6G; Active RIS; Beamforming; Channel-quality matrix; Convolutional neural network; Coordinate multipoint; Cyclic prefix (CP); Deep learning; Deep neural network; Delay spread; DFT/IDFT; Enhanced mobile broadband; FFT/IFFT; FOFDM; Frequency offset; Frequency-selective fading; Functional split; Massive MIMO; Massive RIS-mmWave; Millimeter wave; mmWave; Multicarrier; Multinumerology; OFDM; OFDM channel; OFDMA; One-step equalization; Optimization; PAPR mitigation; Passive RIS; Peak-to-average power ratio (PAPR); Power allocation; Precoder design; Processor sharing; Reflective intelligent surface (RIS); Reinforcement learning; RIS optimization; Single carrier; Single numerology; Slice; Subcarrier; Subcarrier allocation; Time offset; Transceiver optimization; Ultrareliable and low-latency communications; Utility matrix; Wideband channel modeling;
1. Preface
2. Multicarrier Communications and Orthogonal Frequency-Division Multiplexing
3. General Theory for Resource-Allocation inWireless Communications
4. Power-Allocation
5. Subcarrier Allocation
6. Beam and Channel Acquisitions in mmWave Systems
7. Beam-Based Resource-Allocation in MIMO-OFDM Networks
8. Game-Theory Assisted Resource-Allocation
9. Machine/Deep Learning Based Resource-Allocation
10. Deep Reinforcement Learning Aided Resource-Allocation in Ultra-Dense Networks
11. Resource-Allocation in Multicell OFDMA Systems
12. Distributed Resource-Allocation in Multicell MC/DS-CDMA Systems
13. Resource Allocation for Ultra-Reliable Low-Latency Communications
14. Resource-Allocation in Massive Machine Type Communications
15. Reflective Intelligent Surface Assisted mmWave Systems
16. Orthogonal Time-Frequency-Space (OTFS) and Related Systems
17. Integrated Sensing and Communications (ISAC) Systems
2. Multicarrier Communications and Orthogonal Frequency-Division Multiplexing
3. General Theory for Resource-Allocation inWireless Communications
4. Power-Allocation
5. Subcarrier Allocation
6. Beam and Channel Acquisitions in mmWave Systems
7. Beam-Based Resource-Allocation in MIMO-OFDM Networks
8. Game-Theory Assisted Resource-Allocation
9. Machine/Deep Learning Based Resource-Allocation
10. Deep Reinforcement Learning Aided Resource-Allocation in Ultra-Dense Networks
11. Resource-Allocation in Multicell OFDMA Systems
12. Distributed Resource-Allocation in Multicell MC/DS-CDMA Systems
13. Resource Allocation for Ultra-Reliable Low-Latency Communications
14. Resource-Allocation in Massive Machine Type Communications
15. Reflective Intelligent Surface Assisted mmWave Systems
16. Orthogonal Time-Frequency-Space (OTFS) and Related Systems
17. Integrated Sensing and Communications (ISAC) Systems
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
4G LTE/LTE-A; 5G new radios; 6G; Active RIS; Beamforming; Channel-quality matrix; Convolutional neural network; Coordinate multipoint; Cyclic prefix (CP); Deep learning; Deep neural network; Delay spread; DFT/IDFT; Enhanced mobile broadband; FFT/IFFT; FOFDM; Frequency offset; Frequency-selective fading; Functional split; Massive MIMO; Massive RIS-mmWave; Millimeter wave; mmWave; Multicarrier; Multinumerology; OFDM; OFDM channel; OFDMA; One-step equalization; Optimization; PAPR mitigation; Passive RIS; Peak-to-average power ratio (PAPR); Power allocation; Precoder design; Processor sharing; Reflective intelligent surface (RIS); Reinforcement learning; RIS optimization; Single carrier; Single numerology; Slice; Subcarrier; Subcarrier allocation; Time offset; Transceiver optimization; Ultrareliable and low-latency communications; Utility matrix; Wideband channel modeling;
