Efficient power control via pricing in wireless data networks

By Cem Uygur Saraydar, Narayan B. Mandayam, David J. Goodman. IEEE Transactions on Communications, 2002

1,410 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7b2d4bcdf87f8871846ad404deb57b52c92383b9

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Game Theory for Wireless Engineers (2006, background): “1 Power Control The problem of uplink power control in a code division multiple access (CDMA) cellular system has been considered by a number of authors [9–14].”
Competitive spectrum sharing in cognitive radio networks: a dynamic game approach (2008, methodology): “Power control schemes based on game theory were proposed in the literature [11]-[15].”
Demand responsive pricing and competitive spectrum allocation via a spectrum server (2005, background): “2It is possible to consider the role of transmit power in the user utility as has been done in [10].”
A game-theoretic approach to energy-efficient power control in multicarrier CDMA systems (2005, background): “In [2] and [3], power control is modeled as a noncooperative game in which users choose their transmit powers in order to maximize their utilities, where utility is defined as the ratio of throughput to transmit power.”
The Age of Information: Real-Time Status Updating by Multiple Sources (2016, background): “Such an approach shares many commonalities with game-theoretic power control in wireless CDMA systems [89] although discussion of these issues is beyond the scope of this work.”
Decentralized Computation Offloading Game for Mobile Cloud Computing (2014, methodology): “Here W is the channel bandwidth and Pn is user n’s transmission power which is determined by the wireless access base-station according to some power control algorithms such as [25], [26].”
Game theory for cognitive radio networks: An overview (2010, background): “If the best response strategy is a standard function of the variable that represents the user’s action, then the NPG has a unique equilibrium [16].”
Pricing and power control in a multicell wireless data network (2001, methodology): “Under a linear global pricing scheme, the MCPGP for the multicell system and the pricing game for a single-cell system discussed in [5] are mathematically equivalent.”
Auction-Based Spectrum Sharing (2006, background): “In order to achieve a more desirable NE, we allow the manager to announce a unit price (e.g., [12] [13]) either for received SINR (a SINR auction ) or received power (a power auction).”
Price-Based Spectrum Management in Cognitive Radio Networks (2007, background): “In the power control context (e.g., [9] and [11]), pricing is used as an incentive mechanism to improve the efficiency of the NE.”
Optimized signaling for MIMO interference systems with feedback (2003, background): “including power control for wireless networks [ 18 ] [19] and DSLs [10].”
Distributed interference compensation for wireless networks (2006, background): “As in [9], this can be modeled as a noncooperative power (NCP) control game where the players in the game correspond to the users in ; each player picks a transmission power from the strategy set and receives a payoff .”
An energy-efficient approach to power control and receiver design in wireless data networks (2005, background): “Therefore, as in [6], the existence of the Nash equilibrium for the game in (7) can be shown via the quasi-concavity of each user’s utility function in its own power.”
Game Theory in Wireless and Communication Networks (2008, background): “In wireless and communication networks, the use of non-cooperative games has been abundant, ever since the earliest work on power-control games [425].”
Energy-Efficient Resource Allocation in Wireless Networks (2007, background): “The analysis is further extended in [17] to show that this SIR-balancing NE solution is not Pareto-optimal.”