CDMA Uplink Power Control as a Noncooperative Game
By Tansu Alpcan, Tamer Basar, Rayadurgam Srikant, Eitan Altman. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228), 2001
578 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/73c50afa904ad20a2634f958b021eb154db441da
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In Computer Networks and Communications
- Jean-Pierre Hubaux
- H. Vincent Poor
- Jeffrey G. Andrews
- Walid Saad
- Levente Buttyán
- Vikram Chandrasekhar
- Dusist Niyato
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In Electrical and Electronic Engineering
- H. Vincent Poor
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- Levente Buttyán
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Citations in the corpus
- Energy-Efficient Resource Allocation in Wireless Networks (2007, methodology): “Recently, game theory has been used to study power control in CDMA systems (see, for example, [10]–[12], [14]–[17], [26]–[30]).”
- Game Theory in Wireless and Communication Networks (2008, methodology): “Using the best-response functions of the users and the set of fixed-point equations that they yield, the following result holds [23]:”
- Security and Cooperation in Wireless Networks (2007, background): “[20] apply game theory for uplink power control in cellular networks.”
- Robust Power Management via Learning and Game Design (2021, background): “…convergence takes us through a distinct (albeit related) line of research, namely utility-based models of power management in wireless networks (Famolari et al. 1999, Alpcan et al. 2002, 2006, Fan et al. 2006, Menache and Ozdaglar Article submitted to Operations Research ; manuscript no.”
- Nash equilibria of packet forwarding strategies in wireless ad hoc networks (2006, background): “[1] apply game theory for uplink power control in cellular networks.”
- Coalitional game theory for communication networks (2009, unknown): “The mainstream of existing research in communication networks focused on u si g non-cooperative games in various applications such as distributed resource allocation [4], congestion contro l [5], power control [6], and spectrum sharing in cognitive r adio, among others.”
- Individual and mass behaviour in large population stochastic wireless power control problems: centralized and Nash equilibrium solutions (2003, background): “In wireless communication systems, power control plays a critical role in maintaining an adaptable Quality of Services (QoS) under fading channel conditions and, indeed, power control has recently attracted the research interest of many authors; see [1], [3], [14], [17] and references therein.”
- Power control in two-tier femtocell networks (2008, background): “Femtocell SINR reduction when cellular SINR target is uniformly distributed in [3, 10] dB, and initial femtocell SINR targets are uniformly distributed in [5, 25] dB.”