Power Control in Wireless Cellular Networks

By Mung Chiang, P. Hande, T. Lan, Chee Wei Tan. Foundations and Trends® in Networking, 2008

489 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/61be33246362221714cc7acbfc7f3011800fea38

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Parallel and Distributed Methods for Constrained Nonconvex Optimization—Part I: Theory (2016, unknown): “IV.”
On Stochastic Geometry Modeling of Cellular Uplink Transmission With Truncated Channel Inversion Power Control (2014, background): “1Indeed power control is important in downlink to enhance the network performance (see [8]) but not crucial for the basic network operation due to the inherent interference protection introduced by the association criterion.”
Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method (2013, methodology): “D ISTRIBUTED optimization methods are becoming popular options for solving several engineering problems, including parameter estimation, detection and localization problems in sensor networks [1], [2], resource allocation problems in peer-to-peer/multi-cellular communication networks [3], [4], and d”
Non-Orthogonal Multiple Access: Common Myths and Critical Questions (2018, background): “Such a mechanism, known as power control [4], has been adopted in 2G-4G cellular networks particularly in the uplink.”
Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013, background): “This can be achieved by stochastic network optimization [78, 244], which essentially consists of a sequence of weighted sum performance optimizations.”
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks (2018, methodology): “A number of centralized and distributed optimization techniques have been used to develop algorithms for reaching a suboptimal power allocation [1]–[7].”
Robust Power Management via Learning and Game Design (2021, background): “In particular, despite the various convergence and optimality guarantees observed when the underlying wireless network is static/slowly-varying (see e.g. Chiang et al. 2008, Tan 2015, and references therein), this Article submitted to Operations Research ; manuscript no.”
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing (2015, background): “Herew is the channel bandwidth and qn is usern’s transmission power which is determined by the wireless base-station according to some power control algorithms such as [22] and [23]2.”
On Kernelized Multi-armed Bandits (2017, background): “, 1996; Smart & Kaelbling, 2000), and power control in wireless communication (Chiang et al., 2008).”
Game Theory in Wireless and Communication Networks (2008, background): “Acomprehensive survey of uplink power control in cellular networks can be found in [106].”