Chee Kai Chua; Wai Yee Yeong; Hong Yee Low; Tuan Tran; Hong Wei Tan World Scientific Publishing Co Pte Ltd (2021) Saatavuus: Painos loppu Kovakantinen kirja
Chee Kai Chua; Wai Yee Yeong; Hong Yee Low; Tuan Tran; Hong Wei Tan World Scientific Publishing Co Pte Ltd (2021) Saatavuus: Painos loppu Pehmeäkantinen kirja
Chee Kai Chua; Wai Yee Yeong; Hong Wei Tan; Yi Zhang; U-xuan Tan; Chen Huei Leo; Michinao Hashimoto; Gladys Hooi Ch Wong World Scientific Publishing Co Pte Ltd (2022) Saatavuus: Painos loppu Kovakantinen kirja
Chee Kai Chua; Wai Yee Yeong; Hong Wei Tan; Yi Zhang; U-xuan Tan; Chen Huei Leo; Michinao Hashimoto; Gladys Hooi Ch Wong World Scientific Publishing Co Pte Ltd (2022) Saatavuus: Painos loppu Pehmeäkantinen kirja
Chee Kai Chua; Aakanksha Pant; Kah Fai Leong; Wai Yee Yeong; Hong Wei Tan; Yi Zhang; U-Xuan Tan; Chen Huei Leo; Hashimot World Scientific Publishing Company (2022) Saatavuus: Hankintapalvelu Pehmeäkantinen kirja
now publishers Inc Sivumäärä: 132 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2015, 03.12.2015 (lisätietoa) Kieli: Englanti
A basic question in wireless networking is how to optimize the wireless network resource allocation for utility maximization and interference management. How can we overcome interference to efficiently optimize fair wireless resource allocation, under various stochastic constraints on quality of service demands? Network designs are traditionally divided into layers. How does fairness permeate through layers? Can physical layer innovation be jointly optimized with network layer routing control? How should large complex wireless networks be analyzed and designed with clearly-defined fairness using beamforming?
Wireless Network Optimization by Perron-Frobenius Theory provides a comprehensive survey of the models, algorithms, analysis, and methodologies using a Perron-Frobenius theoretic framework to solve wireless utility maximization problems. This approach overcomes the notorious non-convexity barriers in these problems, and the optimal value and solution of the optimization problems can be analytically characterized by the spectral property of matrices induced by nonlinear positive mappings. It can even solve several previously open problems in the wireless networking literature. This survey will be of interest to all researchers, students and engineers working on wireless networking.