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This paper proposes a unified noncooperative game for discrete power minimization in wireless networks. We prove that the proposed game, with a carefully chosen payoff function, falls into the framework of potential games where pure strategy Nash equilibrium (NE) exists. The feasibility of the pure strategy NE is guaranteed with properly designed penalty functions and penalty factors. It is revealed...
This paper is concerned with distributed joint user and antenna selection strategy for multiple-input multiple-output broadcast channels. Firstly, the selection is formulated as a discrete game in which the users are regarded as game participants. We design a joint selection strategy and the optimal strategy profile which maximizes the sum rate constitutes a pure strategy Nash equilibrium. Then a...
In this paper, we study the relay precoding strategy selection for cognitive multiple-input multiple-output (MIMO) relay networks using limited feedback quantized precoding technique. It is assumed that the codebook of each secondary relay node is locally designed. The problem is formulated as a potential game. Then, we analyze the property of the pure strategy Nash equilibrium of the proposed game...
The next generation of small cell base stations (SCBSs), with multi-mode specialty, can offload part of traffic load to unlicensed spectrum to alleviate burden in licensed band. In this paper, we propose an interference graph to capture the coupling interference relationship in unlicensed band between small cell. Based on the interference graph, we formulated the traffic-offloading issue as the local...
This paper is concerned with distributed user selection strategy for massive multiuser multiple-input multiple-output(MU-MIMO) systems, where zero-forcing beamforming (ZFBF) and regularized zero-forcing beamforming (RZFBF) are considered. Firstly, this paper formulate the selection as a discrete game in which the users are regarded as game participants. This game is shown to possess at least one pure...
Network selection plays an important role in load balancing and radio resources management. In this paper, we use the evolutionary game theory to address the network selection problem in the constrained heterogeneous networks. An indication function is introduced into the payoff function to represent the punishment term. The population dynamics can be obtained by the replicator equations. A centralized...
In this paper, we study the secrecy precoding problem for simultaneous wireless information and power transfer (SWIPT) in a multiple-input multiple-output (MIMO) relay network. The problem is formulated as a noncooperative game, where the network utility, defined as the nonnegative sum of the achievable secrecy rate and the harvested energy, is regarded as the common payoff, and the source and the...
In this paper, we focus on the problem of distributed precoding for simultaneous wireless information and power transfer (SWIPT) in a decode-and-forward (DF) multiple-input multiple-output (MIMO) relay network with two heterogeneous destination nodes, i.e., an information decoding (ID) receiver and a RF energy harvesting (EH) receiver. Since full channel state information (CSI) is usually unavailable...
This paper investigates the joint relay selection and discrete power control in cognitive relay networks through a game theoretic approach. Using the rate of cognitive relay network as the common utility, we firstly formulate the problem of the joint relay selection and discrete power control as a noncooperative game. Then, we prove that the proposed game is a potential game which possess at least...
We study the game theoretic relay selection in cognitive relay networks under the interference power constraint at the primary receivers and the total available power constraint for the secondary relays. Based on the game model proposed in [1], the problem of relay selection is formulated as a noncooperative game where the rate of cognitive relay network is used as the common utility. This game is...
In this paper, we study the distributed energy efficient spectrum sharing strategy selection (i.e., joint discrete power control and multimode precoding strategy selection) with limited feedback in MIMO interference channels. We assume that the users are selfish and noncooperative. The goal of each user is to maximize its individual energy efficiency under the constraints of the minimum data rate...
We consider a cognitive relay network where two secondary users can access the unutilized spectrum and conduct bidirectional communication via the help of primary users. The primary users are regarded as relay nodes of the secondary users and adopt amplify-and-forward relaying strategy. Physical-layer network coding is used when both secondary users select the same relay. The spectrum access problem...
In this paper, we study the quantized precoding strategy selection for multiple-input multiple-output (MIMO) multiple access channels (MAC) in cognitive radio (CR) networks through a game-theoretic perspective. Since the secondary users in such system are difficult to be coordinated by a centralized authority, they are noncooperative and attempt to maximize their own payoffs selfishly in a distributed...
In this paper, a joint power and subcarrier allocation scheme in single-cell uplink OFDMA systems is proposed based on game theory. Our goal is to maximize the power efficiency of each user under peak power constraint. For the purpose, a utility function is designed which can enhance the rate per joule of energy consumed greatly, and the existence and uniqueness of the Nash equilibrium of the function...
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