电路能量感知离散位加载

Omar A. Nasr, B. Daneshrad
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引用次数: 2

摘要

本文研究了与多载波调制有关的两个基本问题。首先是在所有子载波中找到最佳调制方案,以最小化在两个无线节点之间发送给定数量的比特所需的总能耗。二是在总能量约束下,寻找最佳调制方案,使两个节点之间传输的比特数最大化。离散位加载算法已被用来解决这两个问题在频率选择信道。这些算法都没有考虑电路能量。在本文中,我们引入了新的离散位加载算法来解决这两个问题,总能量定义为传输能量和电路能量的总和。与传统的离散位加载算法相比,新算法在能量最小化问题上可以节省9 dB左右。与现有算法相比,在相同的总能量下,传输比特数也可以增加180%。
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Circuit-Energy Aware Discrete Bit Loading
Two fundamental problems related to multi-carrier modulation are considered in this paper. The first is finding the best modulation schemes in all subcarriers to minimize the total energy consumption required to send a given number of bits between two wireless nodes. The second is finding the best modulation schemes to maximize the number of bits transmitted between two nodes under total energy constraint. Discrete bit loading algorithms have been used to solve both problems over frequency selective channels. None of these algorithms takes the circuit energy into consideration. In this paper, we introduce new discrete bit loading algorithms to solve both problems with total energy defined as the sum of transmission energy and circuit energy. Compared to the conventional discrete bit loading algorithms, the new algorithms can achieve savings in the order of 9 dB in the energy minimization problem. 180% increase in the number of transmitted bits can also be achieved with the same total energy when compared to the existing algorithms.
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