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Adaptive Subcarrier and Bit Allocation for Downlink OFDMA System with Proportional Fairness

机译:下行链路OFDma系统的自适应子载波和比特分配   比例公平

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摘要

This paper investigates the adaptive subcarrier and bit allocation algorithmfor OFDMA systems. To minimize overall transmitted power, we propose a noveladaptive subcarrier and bit allocation algorithm based on channel stateinformation (CSI) and quality state information (QSI). A suboptimal approachthat separately performs subcarrier allocation and bit loading is proposed. Itis shown that a near optimal solution is obtained by the proposed algorithmwhich has low complexity compared to that of other conventional algorithm. Wewill study the problem of finding an optimal sub-carrier and power allocationstrategy for downlink communication to multiple users in an OFDMA basedwireless system. Assuming knowledge of the instantaneous channel gains for allusers, we propose a multiuser OFDMA subcarrier, and bit allocation algorithm tominimize the total transmit power. This is done by assigning each user a set ofsubcarriers and by determining the number of bits and the transmit power levelfor each subcarrier. The objective is to minimize the total transmitted powerover the entire network to satisfy the application layer and physical layer. Weformulate this problem as a constrained optimization problem and presentcentralized algorithms. The simulation results will show that our approachresults in an efficient assignment of subcarriers and transmitter power levelsin terms of the energy required for transmitting each bit of information, toaddress this need, we also present a bit loading algorithm for allocatingsubcarriers and bits in order to satisfy the rate requirements of the links.
机译:本文研究了OFDMA系统的自适应子载波和比特分配算法。为了使总发射功率最小,我们提出了一种基于信道状态信息(CSI)和质量状态信息(QSI)的新型自适应子载波和比特分配算法。提出了分别执行子载波分配和比特加载的次优方法。结果表明,与其他传统算法相比,该算法具有较低的复杂度。我们将研究在基于OFDMA的无线系统中找到与多个用户进行下行链路通信的最优子载波和功率分配策略的问题。假设了解所有用户的瞬时信道增益,我们提出了一种多用户OFDMA子载波和位分配算法,以使总发射功率最小。通过为每个用户分配一组子载波并通过确定每个子载波的位数和发射功率电平来完成此操作。目的是最小化整个网络上的总传输功率,以满足应用层和物理层。我们将此问题公式化为约束优化问题和集中算法。仿真结果表明,我们的方法可以有效地分配副载波和发射机功率电平,以传输信息的每一位所需的能量,为满足这一需求,我们还提出了一种位分配算法,用于分配副载波和位,从而满足链接的速率要求。

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