Results 1 - 10
of
17
A NON-COOPERATIVE GAME THEORETICAL APPROACH FOR POWER CONTROL IN VIRTUAL MIMO WIRELESS SENSOR NETWORK
"... Power management is one of the vital issue in wireless sensor networks, where the lifetime of the network relies on battery powered nodes. Transmitting at high power reduces the lifetime of both the nodes and the network. One efficient way of power management is to control the power at which the nod ..."
Abstract
-
Cited by 7 (1 self)
- Add to MetaCart
(Show Context)
Power management is one of the vital issue in wireless sensor networks, where the lifetime of the network relies on battery powered nodes. Transmitting at high power reduces the lifetime of both the nodes and the network. One efficient way of power management is to control the power at which the nodes transmit. In this paper, a virtual multiple input multiple output wireless sensor network (VMIMO-WSN) communication architecture is considered and the power control of sensor nodes based on the approach of game theory is formulated. The use of game theory has proliferated, with a broad range of applications in wireless sensor networking. Approaches from game theory can be used to optimize node level as well as network wide performance. The game here is categorized as an incomplete information game, in which the nodes do not have complete information about the strategies taken by other nodes. For virtual multiple input multiple output wireless sensor network architecture considered, the Nash equilibrium is used to decide the optimal power level at which a node needs to transmit, to maximize its utility. Outcome shows that the game theoretic approach considered for VMIMO-WSN architecture achieves the best utility, by consuming less power.
A Parameterisation of Algorithms for Distributed Constraint Optimisation via Potential Games
"... This paper introduces a parameterisation of learning algorithms for distributed constraint optimisation problems (DCOPs). This parameterisation encompasses many algorithms developed in both the computer science and game theory literatures. It is built on our insight that when formulated as noncooper ..."
Abstract
-
Cited by 5 (1 self)
- Add to MetaCart
(Show Context)
This paper introduces a parameterisation of learning algorithms for distributed constraint optimisation problems (DCOPs). This parameterisation encompasses many algorithms developed in both the computer science and game theory literatures. It is built on our insight that when formulated as noncooperative games, DCOPs form a subset of the class of potential games. This result allows us to prove convergence properties of algorithms developed in the computer science literature using game theoretic methods. Furthermore, our parameterisation can assist system designers by making the pros and cons of, and the synergies between, the various DCOP algorithm components clear.
CONTROL FOR WIRELESS COMMUNICATION SYSTEMS
, 2007
"... have examined the final electronic copy of this dissertation for form and content and ..."
Abstract
-
Cited by 5 (0 self)
- Add to MetaCart
(Show Context)
have examined the final electronic copy of this dissertation for form and content and
Joint Rate and Power Control Using Game Theory
"... Abstract — Efficient use of available resources in next gener-ation wireless systems require control of both data rate and transmitted power for mobile terminals. In this paper the prob-lem of joint transmission rate and power control is approached from the perspective of non-cooperative game theory ..."
Abstract
-
Cited by 2 (0 self)
- Add to MetaCart
(Show Context)
Abstract — Efficient use of available resources in next gener-ation wireless systems require control of both data rate and transmitted power for mobile terminals. In this paper the prob-lem of joint transmission rate and power control is approached from the perspective of non-cooperative game theory, and an algorithm for joint rate and power control is presented. A new utility function for mobile terminals is defined, and a detailed analysis of the existence and uniqueness of Nash equilibrium for the non-cooperative joint transmission rate and power control game is presented. The utility function depends on the signal to interference ratio (SIR), and can be adjusted to provide the desired Quality of Service (QoS) requirement. Numerical simulations that compare the proposed algorithm with alternative algorithms developed using game theory are also presented in the paper. I.
A Game-Theoretic Approach to Joint Rate and Power Control for Uplink CDMA Communications
"... Abstract—Next generation wireless systems will be required to support heterogeneous services with different transmission rates that include real time multimedia transmissions, as well as non-real time data transmissions. In order to provide such flexible transmission rates, efficient use of system r ..."
Abstract
-
Cited by 2 (0 self)
- Add to MetaCart
Abstract—Next generation wireless systems will be required to support heterogeneous services with different transmission rates that include real time multimedia transmissions, as well as non-real time data transmissions. In order to provide such flexible transmission rates, efficient use of system resources in next generation systems will require control of both data transmission rate and power for mobile terminals. In this paper we formulate the problem of joint transmission rate and power control for the uplink of a single cell CDMA system as a non-cooperative game. We assume that the utility function depends on both transmission rates and powers and show the existence of Nash equilibrium in the non-cooperative joint transmission rate and power control game (NRPG). We include numerical results obtained from simulations that compare the proposed algorithm with a similar one which is also based on game theory and it also updates the transmission rates and powers simultaneously in a single step. Index Terms—Power control, rate control, non-cooperative games, Nash equilibrium. I.
Game Theoretic Analysis of Joint Rate and Power Allocation in Cognitive Radio Networks
- International Journal of Communications, Network and System Sciences
"... Spectrum sharing is an essential enabling functionality to allow the coexistence between primary user (PU) and cognitive users (CUs) in the same frequency band. In this paper, we consider joint rate and power allocation in cognitive radio networks by using game theory. The optimum rates and powers a ..."
Abstract
-
Cited by 2 (0 self)
- Add to MetaCart
(Show Context)
Spectrum sharing is an essential enabling functionality to allow the coexistence between primary user (PU) and cognitive users (CUs) in the same frequency band. In this paper, we consider joint rate and power allocation in cognitive radio networks by using game theory. The optimum rates and powers are obtained by iteratively maximizing each CU’s utility function, which is designed to guarantee the protection of primary user (PU) as well as the quality of service (QoS) of CUs. In addition, transmission rates of some CUs should be adjusted if corresponding actual signal-to-interference-plus-noise ratio (SINR) falls below the target SINR. Based on the modified transmission rate for each CU, distributed power allocation is introduced to further reduce the total power consumption. Simulation results are provided to demonstrate that the proposed algorithm achieves a significant gain in power saving.
Robust optimal power control for ad hoc networks
- Princeton University
, 2006
"... Abstract — In this paper we apply robust optimization techniques to the problem of power control in mobile ad hoc wireless networks. Our approach is inherently multi-objective in that we seek a solution set that trades off the dual objectives of achieving optimality and maintaining feasibility. In p ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
(Show Context)
Abstract — In this paper we apply robust optimization techniques to the problem of power control in mobile ad hoc wireless networks. Our approach is inherently multi-objective in that we seek a solution set that trades off the dual objectives of achieving optimality and maintaining feasibility. In particular, our objective is to minimize the aggregate power employed by the transmitters and the constraints are that the SINR at each receiver must exceed the threshold required for successful reception. The selection of the powers is complicated, however, by the fact that the channels incorporate random and unknown fading and attenuation components. A robust optimization framework for this problem is developed that penalizes the expected infeasibility of the proposed solution. The “cost of uncertainty ” is measured by the total additional power required when all channel states are known. Our results demonstrate that communication dependability is enhanced through the robust formulation. I.
Joint Rate and Power Control with Pricing
"... Abstract — Next generation wireless systems will be required to support heterogeneous services with different transmission rates that include real time multimedia transmissions, as well as non-real time data transmissions. In order to provide flexible trans-mission rates to each terminal, efficient ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
(Show Context)
Abstract — Next generation wireless systems will be required to support heterogeneous services with different transmission rates that include real time multimedia transmissions, as well as non-real time data transmissions. In order to provide flexible trans-mission rates to each terminal, efficient use of system resources requires transmission rate control in addition to power control. In this paper, we present an algorithm for joint transmission rate and power control based on a non-cooperative game theoretic approach. A new utility function that includes pricing is defined for joint transmission rate and power control, and a detailed analysis of the existence and uniqueness of Nash equilibrium for the non-cooperative joint transmission rate and power control game with pricing is presented. Numerical results obtained from simulations that compare the proposed algorithm with alternative algorithms on joint rate and power control are also presented in the paper. I.
Power Management in MIMO Ad Hoc Networks: A Game-Theoretic Approach
"... Abstract-This paper considers interference characterization and management in wireless ad hoc networks using MIMO techniques. The power allocation in each link is built into a non-cooperative game where a utility function is identified and maximized. Due to poor channel conditions, some links have ..."
Abstract
- Add to MetaCart
(Show Context)
Abstract-This paper considers interference characterization and management in wireless ad hoc networks using MIMO techniques. The power allocation in each link is built into a non-cooperative game where a utility function is identified and maximized. Due to poor channel conditions, some links have very low data transmission rates even though their transmit powers are high. Therefore, a mechanism for shutting down links is proposed in order to reduce cochannel interference and improve energy efficiency. The multiuser water-filling and the gradient projection methods are compared with the proposed game theoretic approach in terms of system capacity and energy efficiency. It is shown that using the proposed method with the link shut-down mechanism allows the MIMO ad hoc network to achieve the highest energy efficiency and the highest system capacity.