Game theoretic analysis of joint link adaptation and distributed power control in GPRS

Ginde, S.; Neel, J.; Buehrer, R. Michael

doi:10.1109/vetecf.2003.1285117

Cited by 17 publications

(13 citation statements)

References 2 publications

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“…Each player chooses a power level and a rate. To date, there has been limited literature on this subject [11] [12]. We show that a NE must exist in this Link Adaptation Game (LAG).…”

Section: Introductionmentioning

confidence: 91%

A Game-Theoretic Analysis of Link Adaptation in Cellular Radio Networks

Ginde

MacKenzie

Buehrer

et al. 2008

IEEE Trans. Veh. Technol.

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-Game theory is a promising approach for the system-level analysis of power control in wireless networks. This paper extends game-theoretic analysis to the study of link adaptation, which involves the variation of modulation parameters in addition to power control. We use the link adaptation scheme in General Packet Radio Service (GPRS) as an example, although the basic approach is applicable to any centralized wireless system with power and rate control. The action space of a player in our proposed game, called the Link Adaptation Game (LAG), consists of power as usual, and a discrete-valued Adaptable Link Parameter (ALP), e.g. code rate. The utility function is a sigmoid, fitted to the throughput characteristics of a link adaptation scheme, priced by the square of power. We first show the existence of a Nash Equilibrium (NE) in the game. Next, we propose a distributed algorithm to discover the NE. The algorithm is analytically shown to converge to a NE by treating it as a point-to-set map. Simulation results using the GPRS system demonstrate superior throughput and fair systemwide allocation of resources in comparison with other non-gametheoretic methods.

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“…Each player chooses a power level and a rate. To date, there has been limited literature on this subject [11] [12]. We show that a NE must exist in this Link Adaptation Game (LAG).…”

Section: Introductionmentioning

confidence: 91%

A Game-Theoretic Analysis of Link Adaptation in Cellular Radio Networks

Ginde

MacKenzie

Buehrer

et al. 2008

IEEE Trans. Veh. Technol.

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“…We use q > 1 to reflect that players have a greater aversion to high power levels than would be reflected by a linear cost function. For a more detailed explanation, see [87] and [88].…”

Section: A Analysis Of Power and Coding Adaptationsmentioning

confidence: 99%

“…In GPRS, the modulation scheme is Gaussian minimum-shift keying, but four options for code rate are specified. The details of the simulations are described in [87] and [88].…”

Section: A Analysis Of Power and Coding Adaptationsmentioning

confidence: 99%

Cognitive Radio and Networking Research at Virginia Tech

et al. 2009

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A large research team with a wide range of expertiseVfrom ICs and reconfigurable computing to wireless networkingVworks to achieve the promise of cognitive radio. ABSTRACT | More than a dozen Wireless @ Virginia Tech faculty are working to address the broad research agenda of cognitive radio and cognitive networks. Our core research team spans the protocol stack from radio and reconfigurable hardware to communications theory to the networking layer.Our work includes new analysis methods and the development of new software architectures and applications, in addition to work on the core concepts and architectures underlying cognitive radios and cognitive networks. This paper describes these contributions and points towards critical future work that remains to fulfill the promise of cognitive radio. We briefly describe the history of work on cognitive radios and networks at Virginia Tech and then discuss our contributions to the core cognitive processing underlying these systems, focusing on our cognitive engine. We also describe developments that support the cognitive engine and advances in radio technology that provide the flexibility desired in a cognitive radio node. We consider securing and verifying cognitive systems and examine the challenges of expanding the cognitive paradigm up the protocol stack to optimize end-to-end network performance.Lastly, we consider the analysis of cognitive systems using game theory and the application of cognitive techniques to problems in dynamic spectrum sharing and control of multipleinput multiple-output radios.

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“…where L i (γ i , r i ) is the throughput of the i th link and is a function of the SINR, γ i and the adaptable link parameter (ALP), r i , which in the employed system is the processing gain, pg i [12]. The SINR for the i th link is calculated by:…”

Section: System Modelmentioning

confidence: 99%

Game-theoretic algorithms for power control and link adaptation in 3G-UMTS cellular systems

Tyagi

Popov

Venkataraman

2008

TENCON 2008 - 2008 IEEE Region 10 Conference

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In the recent years, the demand for video streaming and multimedia communications over a mobile terminal has grown tremendously. These services require data rate of the order of hundreds of megabits per second (Mbps). However, a wireless terminal is an energy constrained device, and hence, a lot of attention is given to power control and link adaptation in a wireless network. Lately, game theory has emerged as a very promising method to tackle the power control issue in next generation cellular networks. A novel game-theoretic method is investigated for a third generation (3G) Universal Mobile Telecommunication System (UMTS) cellular architecture, wherein, the transmitter power and the adaptable code rate constitute the action set of players. The utility function for this action set aims to achieve the dual goal of maximizing the system throughput and minimizing the power consumption. It has been found that the game-theoretic model with a modified cost function leads to a much better solution than the one with fair scheduling or a greedy approach.

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Game theoretic analysis of joint link adaptation and distributed power control in GPRS

Cited by 17 publications

References 2 publications

A Game-Theoretic Analysis of Link Adaptation in Cellular Radio Networks

A Game-Theoretic Analysis of Link Adaptation in Cellular Radio Networks

Cognitive Radio and Networking Research at Virginia Tech

Game-theoretic algorithms for power control and link adaptation in 3G-UMTS cellular systems

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