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On the transport capacity of Gaussian multiple access and broadcast channels

机译:关于高斯多路访问和广播信道的传输能力

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We study the transport capacity of a Gaussian multiple access channel, which consists of a set of transmitters and a single receiver. The transport capacity is defined as the sum, over all transmitters, of the product of the transmission rate with a reward r(x), which is a function of the distance x between the transmitter and the receiver, and quantifies the usefulness of the transmitting information over a distance x. Assuming that the sum of the transmitter powers is upper bounded, we present in closed form the optimal power allocation among the transmitters, that maximizes the transport capacity. We then present simple expressions for the optimal power allocation and induced transport capacity, as the number of transmitters approaches infinity. We also study the transport capacity of a Gaussian broadcast channel, which consists of a single transmitter and multiple receivers. Here, the transport capacity is defined as the sum, over all receivers, of the product of the transmission rate with a reward r(x). We determine in closed form the maximum possible transport capacity and the distribution of the available transmitter power among the receivers that achieve it. Although this result has already been reported in the literature, our derivation is shorter, and leads to simpler expressions. Our results can be used to gain intuition and develop good design principles in a variety of settings. For example, they apply to the uplink and downlink channel of cellular networks, and also to sensor networks which consist of multiple sensors that communicate with a single central station.
机译:我们研究了由一组发射机和一个接收机组成的高斯多路访问信道的传输能力。传输容量定义为所有发射机上传输速率与奖励r(x)乘积的总和,奖励r(x)是发射机与接收机之间距离x的函数,并量化了发送的有用性距离x上的信息。假设发射机功率之和为上限,则以封闭形式给出发射机之间的最佳功率分配,从而使传输容量最大化。然后,随着发射机数量趋于无穷大,我们给出了用于最佳功率分配和感应运输能力的简单表达式。我们还研究了由一个发射机和多个接收机组成的高斯广播信道的传输能力。此处,传输容量定义为所有接收器上传输速率乘以奖励r(x)的乘积之和。我们以封闭的形式确定最大可能的传输容量以及实现此目标的接收器之间的可用发射器功率分配。尽管此结果已在文献中报道,但我们的推导更短,并且导致表达式更简单。我们的结果可用于在各种环境中获得直觉并开发良好的设计原则。例如,它们适用于蜂窝网络的上行链路和下行链路信道,也适用于由与单个中心站通信的多个传感器组成的传感器网络。

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