Results 1 - 10
of
74
A gametheoretic approach to energy-efficient power control in multicarrier CDMA systems
- IEEE Journal on Selected Areas in Communications (JSAC
, 2006
"... Abstract—A game-theoretic model for studying power control in multicarrier code-division multiple-access systems is proposed. Power control is modeled as a noncooperative game in which each user decides how much power to transmit over each carrier to maximize its own utility. The utility function co ..."
Abstract
-
Cited by 89 (8 self)
- Add to MetaCart
(Show Context)
Abstract—A game-theoretic model for studying power control in multicarrier code-division multiple-access systems is proposed. Power control is modeled as a noncooperative game in which each user decides how much power to transmit over each carrier to maximize its own utility. The utility function considered here measures the number of reliable bits transmitted over all the carriers per joule of energy consumed and is particularly suitable for networks where energy efficiency is important. The multidimensional nature of users ’ strategies and the nonquasi-concavity of the utility function make the multicarrier problem much more challenging than the single-carrier or throughput-based-utility case. It is shown that, for all linear receivers including the matched filter, the decorrelator, and the minimum-mean-square-error detector, a user’s utility is maximized when the user transmits only on its “best ” carrier. This is the carrier that requires the least amount of power to achieve a particular target signal-to-interference-plus-noise ratio at the output of the receiver. The existence and uniqueness of Nash equilibrium for the proposed power control game are studied. In particular, conditions are given that must be satisfied by the channel gains for a Nash equilibrium to exist, and the distribution of the users among the carriers at equilibrium is characterized. In addition, an iterative and distributed algorithm for reaching the equilibrium (when it exists) is presented. It is shown that the proposed approach results in significant improvements in the total utility achieved at equilibrium compared with a single-carrier system and also to a multicarrier system in which each user maximizes its utility over each carrier independently. Index Terms—Energy efficiency, game theory, multicarrier code-division multiple-access (CDMA), multiuser detection, Nash equilibrium, power control, utility function. I.
BAn energy-efficient approach to power control and receiver design in wireless data networks,[
- IEEE Trans. Commun.,
, 2005
"... ..."
Energy-efficient resource allocation in wireless networks: An overview of gametheoretic approaches
- IEEE Signal Process. Magazine
, 2007
"... A game-theoretic model is proposed to study the cross-layer problem of joint power and rate control with quality of service (QoS) constraints in multiple-access networks. In the proposed game, each user seeks to choose its transmit power and rate in a distributed manner in order to maximize its own ..."
Abstract
-
Cited by 55 (8 self)
- Add to MetaCart
A game-theoretic model is proposed to study the cross-layer problem of joint power and rate control with quality of service (QoS) constraints in multiple-access networks. In the proposed game, each user seeks to choose its transmit power and rate in a distributed manner in order to maximize its own utility while satisfying its QoS requirements. The user’s QoS constraints are specified in terms of the average source rate and an upper bound on the average delay where the delay includes both transmission and queuing delays. The utility function considered here measures energy efficiency and is particularly suitable for wireless networks with energy constraints. The Nash equilibrium solution for the proposed noncooperative game is derived and a closed-form expression for the utility achieved at equilibrium is obtained. It is shown that the QoS requirements of a user translate into a “size ” for the user which is an indication of the amount of network resources consumed by the user. Using this competitive multiuser framework, the tradeoffs among throughput, delay, network capacity and energy efficiency are studied. In addition, analytical expressions are given for users ’ delay profiles and the delay performance of the users at Nash equilibrium is quantified.
A Nash game algorithm for SIR-based power control in 3G wireless CDMA networks
- IEEE/ACM TRANSACTIONS ON NETWORKING
, 2005
"... We propose a new algorithm for distributed power control in cellular communication systems. We define a cost for each mobile that consists of a weighted sum of power and square of signal-to-interference ratio (SIR) error and obtain the static Nash equilibrium for the resulting costs. The algorithm ..."
Abstract
-
Cited by 29 (2 self)
- Add to MetaCart
(Show Context)
We propose a new algorithm for distributed power control in cellular communication systems. We define a cost for each mobile that consists of a weighted sum of power and square of signal-to-interference ratio (SIR) error and obtain the static Nash equilibrium for the resulting costs. The algorithm requires only interference power measurements and/or SIR measurements from the base station, and converges even in cases where limits on available power render the target SIR’s unattainable. Examples generated using realistic data demonstrate that in demanding environments, the Nash equilibrium power provides substantial power savings as compared to the power balancing algorithm, while reducing achieved SIR only slightly. Additional simulations show that the benefit of the Nash equilibrium power control over the power balancing solution increases as receiver noise power or number of users in the cell increases. The algorithm has the advantage that it can be implemented distributively. An additional benefit of the algorithm is that based on their chosen cost function, mobiles may choose to “opt out”, i.e. stop transmitting, if they determine that the power required to achieve their SIR objectives is more expensive to them than not transmitting at all.
Performance Evaluation of Cognitive Radios: Metrics, Utility Functions and Methodology. Invited paper, under review for proceedings of the
- IEEE Special Issue on Cognitive Radio
, 2009
"... Abstract — The selection and design of performance metrics and utility functions is an important, but inadequately addressed issue in the design of cognitive radio networks. Unlike traditional radios, a cognitive radio may change its objectives as radio scenarios vary. Because of the dynamic pairing ..."
Abstract
-
Cited by 22 (17 self)
- Add to MetaCart
(Show Context)
Abstract — The selection and design of performance metrics and utility functions is an important, but inadequately addressed issue in the design of cognitive radio networks. Unlike traditional radios, a cognitive radio may change its objectives as radio scenarios vary. Because of the dynamic pairing of objectives and contexts, it is imperative for cognitive radio network designers to have a firm understanding of the inter-relationships between goals, performance metrics, utility functions, link/network per-formance, and operating environments. In this paper, we first overview the hierarchical metrics for evaluating the performance of cognitive radios from the node, network, and application levels. From a game-theoretic viewpoint, we then show that the performance evaluation of cognitive radio networks exhibits the interdependent nature of actions, goals, decisions, observations, and context. We discuss the inter-relationships between met-rics, utility functions, cognitive engine algorithms and achieved performance. Various testing scenarios need to be employed to comprehensively evaluate the cognitive functionality of cognitive radios. We propose the radio environment map-based scenario-driven testing (REM-SDT) for thorough performance evaluation of cognitive radios. An IEEE 802.22 WRAN cognitive engine testbed is presented to provide further insights into this important problem area. Index Terms — Cognitive radio, cognitive wireless network, game theory, performance evaluation, performance metric, utility function. I.
Liu,”Non-Cooperative Power Control Game and Throughput Game over Wireless Networks,”IEEE Trans
- Communications
, 2005
"... Abstract—Resource allocation is an important means to increase system performance in wireless networks. In this letter, a gametheory approach for distributed resource allocation is proposed. Observing the bilinear matrix inequality nature of resource allocation, we construct two interrelated games: ..."
Abstract
-
Cited by 19 (4 self)
- Add to MetaCart
Abstract—Resource allocation is an important means to increase system performance in wireless networks. In this letter, a gametheory approach for distributed resource allocation is proposed. Observing the bilinear matrix inequality nature of resource allocation, we construct two interrelated games: a power-control game at the user level, and a throughput game at the system level, respectively, to avoid local optima. An optimal complex centralized algorithm is developed as a performance bound. The simulations show that the proposed games have near-optimal system performance. Index Terms—Adaptive modulation, game theory, power control, rate adaptation. I.
Distributed joint rate and power control game-theoretic algorithms for wireless data
- IEEE Commun. Letters
, 2004
"... Abstract—In this letter, we consider two distributed game the-oretic algorithms to jointly solve the problem of optimizing the transmission rates and transmit powers for future wireless data communication systems. We then establish the existence, unique-ness and Pareto optimality of Nash equilibria ..."
Abstract
-
Cited by 17 (1 self)
- Add to MetaCart
Abstract—In this letter, we consider two distributed game the-oretic algorithms to jointly solve the problem of optimizing the transmission rates and transmit powers for future wireless data communication systems. We then establish the existence, unique-ness and Pareto optimality of Nash equilibria of both games. Index Terms—Game theory, joint rate and power, Pareto effi-ciency. I.
A game theoretic approach for cooperative mimo systems with cellular reuse of the relay slot
- in Proc. IEEE ICASSP
, 2004
"... An iterative game theory based algorithm is proposed to allocate the resources in cooperative schemes for the downlink. Both Amplify and Forward (AF) and Decode and Forward (DF) cooperative schemes are considered with cellular reuse of the relay slot. Multiple antennas can be used at the involved st ..."
Abstract
-
Cited by 15 (3 self)
- Add to MetaCart
(Show Context)
An iterative game theory based algorithm is proposed to allocate the resources in cooperative schemes for the downlink. Both Amplify and Forward (AF) and Decode and Forward (DF) cooperative schemes are considered with cellular reuse of the relay slot. Multiple antennas can be used at the involved stations. Using the algorithm proposed, the simultaneous relay powers are decided in a decentralized way using mean channel level measures and mean values of noise and interference power. The cell capacity gain for the cooperative schemes using the decentralized algorithm is evaluated by means of simulation both for the AF and DF approaches. 1.
Joint receiver and transmitter optimization for energy-efficient CDMA communications
- IEEE J. Sel. Areas Commun., Special Issue on Multiuser Detection for Advanced Communications Systems and Networks
, 2008
"... iv ..."
(Show Context)
An economics-based power-aware protocol for computation distribution in mobile ad-hoc networks
- In 14th IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS
, 2002
"... In this paper, we present a new economics-based power-aware protocol, called the distributed economic subcontracting protocol, that dynamically distributes task computation among mobile devices in an ad-hoc wireless network. Mobile computation devices may be energy buyers, contractors, or subcontrac ..."
Abstract
-
Cited by 12 (0 self)
- Add to MetaCart
(Show Context)
In this paper, we present a new economics-based power-aware protocol, called the distributed economic subcontracting protocol, that dynamically distributes task computation among mobile devices in an ad-hoc wireless network. Mobile computation devices may be energy buyers, contractors, or subcontractors. Tasks are transferred between devices via distributed bargaining and transactions. When additional energy is required, buyers and contractors negotiate energy prices within their local markets. Contractors and subcontractors spend communication and computation energy to relay or execute buyers ’ tasks. Buyers pay the negotiated price for this energy. Our experimental results indicate that markets based on our protocol and decision-making algorithms fairly and effectively allocate energy resources among different tasks in both cooperative and competitive scenarios.
