Description: "A Low Complexity Algorithm for Proportional Resource Allocation in OFDMA Systems"关于子载波和功率分配的代码，对应这篇文章，大家共同学习。希望大家提供的源码带上原文，以便研究。-" A Low Complexity Algorithm for Proportional Resource Allocation in OFDMA Systems" With regard to the allocation of subcarriers and power of the code, corresponding to this article, we learn together. Hope that we provided to bring the original source in order to study. Platform: |
Size: 165888 |
Author:赵子顾 |
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Description: OFDMa 很好的系统中的各种资源分配算法仿真
-OFDMa good system in a variety of resource allocation algorithm for simulation of Platform: |
Size: 10240 |
Author:zcf |
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Description: 一种低复杂度的资源分配算法,应用在无线宽带网络中的OFDMA系统中-A low-complexity resource allocation algorithm used in the wireless broadband network in the OFDMA system Platform: |
Size: 122880 |
Author:xinjianzhou |
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Description: ofdma功率分配经典文献 "A Low Complexity Algorithm for Proportional Resource Allocation in OFDMA Systems"的相应MATLAB代码-MATLAB code for the corresponding OFDMA power allocation classic literature "A Low Complexity Algorithm for Proportional Resource Allocation in OFDMA Systems" Platform: |
Size: 13312 |
Author:andyking |
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Description: 能进行ofdma自适应资源分配的超好程序，本人花了很长时间琢磨出来的哦。-Adaptive resource allocation can be ofdma super good program, I took a long time figured it out, oh. Platform: |
Size: 16384 |
Author:jeson |
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Description: ofdma下行自适应资源分配算法仿真方面的几种算法对比。有图。直接点main文件即可运行-ofdma downstream aspects of adaptive resource allocation algorithm for simulation comparison of several algorithms. A map. Main file can be run directly point Platform: |
Size: 9216 |
Author:jeson |
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Description: 关于OFDMA资源分配的几种算法，具有较高的参考价值。-Some on the OFDMA resource allocation algorithm, has high reference value. Platform: |
Size: 386048 |
Author:hx |
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Description: programs which include some codings related to mimo and ofdm involving their resource allocation Platform: |
Size: 6144 |
Author:aassaapp |
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Description: 基于OFDMA系统的多用户资源分配算法，论文配备MATLAB代码，入门的好教材。-— Orthogonal Frequency Division Multiple Access (OFDMA) basestations allow multiple users to transmit simultaneously on different subcarriers during the same symbol period. This paper considers basestation allocation of subcarriers and power to each user to maximize the sum of user data rates, subject to constraints on total power, bit error rate, and proportionality
among user data rates. Previous allocation methods have been iterative nonlinear methods suitable for ofine optimization. In the special high subchannel SNR case, an iterative root-nding method has linear-time complexity in the number of users and
N logN complexity in the number of subchannels. We propose
a non-iterative method that is made possible by our relaxation
of strict user rate proportionality constraints. Compared to the
root-nding method, the proposed method waives the restriction
of high subchannel SNR, has signicantly lower complexity, and
in simulation, yields higher user data rates. Platform: |
Size: 160768 |
Author:王刚名 |
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