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A game-theoretic approach to decentralized optimal power allocation for cellular networks

机译:博弈论的蜂窝网络分散式最优功率分配方法

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The rapidly growing demand for wireless communication makes efficient power allocation a critical factor in the network’s efficient operation. Power allocation in cellular networks with interference, where users are selfish, has been recently studied by pricing methods. However, pricing methods do not result in efficient/optimal power allocations for such systems for the following reason. Because of interference, the communication between the Base Station (BS) and a given user is affected by that between the BS and all other users. Thus, the power vector consisting of the transmission power in each BS-user link can be viewed as a public good which simultaneously affects the utilities of all the users in the network. It is well known (Mas-Colell et al., Microeconomic Theory, Oxford University Press, London, 2002, Chap. 11.C) that in public good economies, standard efficiency theorems on market equilibrium do not apply and pricing mechanisms do not result in globally optimal allocations. In this paper we study power allocation in the presence of interference for a single cell wireless Code Division Multiple Access (CDMA) network from a game theoretic perspective. We consider a network where each user knows only its own utility and the channel gain from the base station to itself. We formulate the uplink power allocation problem as a public good allocation problem. We present a game form the Nash Equilibria of which yield power allocations that are optimal solutions of the corresponding centralized uplink network.
机译:对无线通信的迅速增长的需求使有效的功率分配成为网络有效运行的关键因素。最近,通过定价方法研究了用户自私的蜂窝网络中的功率分配。但是,由于以下原因,定价方法无法为此类系统提供有效/最佳的功率分配。由于干扰,基站(BS)与给定用户之间的通信会受到BS与所有其他用户之间的通信的影响。因此,由每个BS-用户链路中的传输功率组成的功率矢量可以被视为一种公共物品,它同时影响网络中所有用户的效用。众所周知(Mas-Colell等人,《微观经济理论》,牛津大学出版社,伦敦,2002年,第11.C章),在公共利益经济中,市场均衡的标准效率定理不适用,定价机制不成立在全局最优分配中。在本文中,我们从博弈论的角度研究了单小区无线码分多址(CDMA)网络在存在干扰的情况下的功率分配。我们考虑一个网络,其中每个用户仅知道自己的效用以及从基站到自己的信道增益。我们将上行链路功率分配问题公式化为公共产品分配问题。我们提出了一种纳什均衡形式的游戏,该游戏的纳什均衡产生功率分配,这是相应集中式上行链路网络的最佳解决方案。

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