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Energyefficient uplink multiuser MIMO
 IEEE Trans. Wireless Commun
, 2013
"... Wireless Communications. This paper has been peerreviewed but does not include the final publisher proofcorrections or proceedings pagination. © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, includin ..."
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Cited by 13 (0 self)
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Wireless Communications. This paper has been peerreviewed but does not include the final publisher proofcorrections or proceedings pagination. © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Citation for the published paper:
Distributed energyefficient power optimization in cellular relay networks with minimum rate constraints
 in Proc. IEEE Intl. Conf. Acoustics, Speech and Signal Process. (ICASSP
, 2014
"... In this work, we derive a distributed power control algorithm for energyefficient uplink transmissions in interferencelimited cellular networks, equipped with either multiple or shared relays. The proposed solution is derived by modeling the mobile terminals as utilitydriven rational agents tha ..."
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Cited by 6 (3 self)
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In this work, we derive a distributed power control algorithm for energyefficient uplink transmissions in interferencelimited cellular networks, equipped with either multiple or shared relays. The proposed solution is derived by modeling the mobile terminals as utilitydriven rational agents that engage in a noncooperative game, under minimumrate constraints. The theoretical analysis of the game equilibrium is used to compare the performance of the two different cellular architectures. Extensive simulations show that the shared relay concept outperforms the distributed one in terms of energy efficiency in most network configurations. 1.
1Energy Efficiency Optimization in RelayAssisted MIMO Systems with Perfect and Statistical CSI
"... A framework for energyefficient resource allocation in a singleuser, amplifyandforward (AF), relayassisted, multipleinputmultipleoutput (MIMO) system is devised in this paper. Previous results in this area have focused on rate maximization or sum power minimization problems, whereas fewer re ..."
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Cited by 4 (2 self)
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A framework for energyefficient resource allocation in a singleuser, amplifyandforward (AF), relayassisted, multipleinputmultipleoutput (MIMO) system is devised in this paper. Previous results in this area have focused on rate maximization or sum power minimization problems, whereas fewer results are available when bits/Joule energy efficiency (EE) optimization is the goal. Here, the performance metric to optimize is the ratio between the system’s achievable rate and the total consumed power. The optimization is carried out with respect to the source and relay precoding matrices, subject to qualityofservice (QoS) and power constraints. Such a challenging nonconvex optimization problem is tackled by means of fractional programming and alternating maximization algorithms, for various channel state information (CSI) assumptions at the source and relay. In particular the scenarios of perfect CSI and those of statistical CSI for either the sourcerelay or the relaydestination channel are addressed. Moreover, sufficient conditions for beamforming optimality are derived, which is useful in simplifying the system design. Numerical results are provided to corroborate the validity of the theoretical findings. Index Terms Copyright (c) 2013 IEEE. Personal use of this material is permitted. However, permission to use this material for any other purpose must be obtained from the IEEE by sending a request to pubspermissions@ieee.org.
Energy efficiency and spectral efficiency tradeoff in devicetodevice D2D communications
 IEEE Wirel. Commun. Lett
, 2014
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EnergyAware Competitive Power Allocation for Heterogeneous Networks Under QoS Constraints
"... This work proposes a distributed power allocation scheme for maximizing energy efficiency in the uplink of orthogonal frequencydivision multiple access (OFDMA)based heterogeneous networks (HetNets) where a macrotier is augmented with a mix of small cell access points – broadly varying in capabili ..."
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Cited by 3 (1 self)
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This work proposes a distributed power allocation scheme for maximizing energy efficiency in the uplink of orthogonal frequencydivision multiple access (OFDMA)based heterogeneous networks (HetNets) where a macrotier is augmented with a mix of small cell access points – broadly varying in capabilities. The user equipment (UE) in the network are modeled as rational agents that engage in a noncooperative game where each UE allocates its available transmit power over the set of assigned subcarriers so as to maximize its individual utility (defined as the user’s throughput per Watt of transmit power) subject to minimumrate constraints. In this framework, the relevant solution concept is that of a Debreu equilibrium, a generalization of the concept of Nash equilibrium which accounts for the case where an agent’s set of possible actions depends on the actions of its opponents. Since the problem at hand might not be feasible, Debreu equilibria do not always exist. However, using techniques from fractional programming, we provide a characterization of equilibrial power allocation profiles for when they do exist. In particular, Debreu equilibria are found to be the fixed points of a waterfilling best response operator whose water level is a function of minimum rate constraints and circuit power. Moreover, we also describe a set of sufficient conditions for the existence and uniqueness of Debreu equilibria exploiting the contraction properties of the best response operator. This analysis provides the necessary tools to derive a power allocation scheme that steers the network to equilibrium in an iterative and distributed manner without the need for any centralized processing. Numerical simulations are then used to validate the analysis and assess the performance of the proposed algorithm as a function of the system parameters, also discussing key design tradeoffs to meet 5G requirements (e.g., obtaining more than 500 b/s/Hz/km2 area spectral efficiency) with a reasonable amount of physical resources (e.g., bandwidth and transmit power), and complexity at the receiving stations, such as minimal information requirements at the user level and number of antennas.
Energyefficient power control for contentionbased synchronization in OFDMA systems with discrete powers and limited feedback
 EURASIP J. Wireless Commun. and Networking (JWCN
, 2013
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4 Distributed InterferenceAware EnergyEfficient Resource Allocation for DevicetoDevice Communications Underlaying Cellular Networks
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A gametheoretic approach to energyefficient resource allocation in devicetodevice underlay communications,” submitted to IET Commun
, 2014
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GREEN RESOURCE ALLOCATION IN RELAYASSISTED MIMO SYSTEMSWITH STATISTICAL CHANNEL STATE INFORMATION
"... Green resource allocation in an amplifyandforward (AF) relayassisted MIMO system is considered, consisting of one source, one AF relay, and one destination, in which the relaytodestination channel is only statistically known to the source and relay. The source covariance matrix and the relay AF ..."
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Green resource allocation in an amplifyandforward (AF) relayassisted MIMO system is considered, consisting of one source, one AF relay, and one destination, in which the relaytodestination channel is only statistically known to the source and relay. The source covariance matrix and the relay AF matrix are optimized so as to maximize the system energy efficiency (EE), defined as the ratio of the system ergodic achievable rate over the total consumed power. The resulting optimization problem is a challenging nonconvex problem, which is tackled employing fractional programming in conjunction with the alternating maximization algorithm. In addition, the regime of singlestream transmission is investigated and a sufficient condition for its optimality is derived.
Power Control in Networks With Heterogeneous Users: A QuasiVariational Inequality Approach
"... AbstractThis work deals with the power allocation problem in a multipointtomultipoint network, which is heterogenous in the sense that each transmit and receiver pair can arbitrarily choose whether to selfishly maximize its own rate or energy efficiency. This is achieved by modeling the transmit ..."
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AbstractThis work deals with the power allocation problem in a multipointtomultipoint network, which is heterogenous in the sense that each transmit and receiver pair can arbitrarily choose whether to selfishly maximize its own rate or energy efficiency. This is achieved by modeling the transmit and receiver pairs as rational players that engage in a noncooperative game in which the utility function changes according to each player's nature. The underlying game is reformulated as a quasi variational inequality (QVI) problem using convex fractional program theory. The equivalence between the QVI and the noncooperative game provides us with all the mathematical tools to study the uniqueness of its Nash equilibrium points and to derive novel algorithms that allow the network to converge to these points in an iterative manner, both with and without the need for a centralized processing. Numerical results are used to validate the proposed solutions in different operating conditions.