Description: 在matlab中实现ofdm中子载波分配,希望对大家有用!-Matlab achieved in neutron OFDM subcarrier allocation, I hope useful for all of us! Platform: |
Size: 1024 |
Author:侯祖磊 |
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Description: I. C. Wong, Z. Shen, J. G. Andrews, and B. L. Evans, ``A Low Complexity Algorithm for Proportional Resource Allocation in OFDMA Systems , Proc. IEEE Int. Work. Signal Processing Systems, 针对这篇文章给出的源代码-matlab code for I. C. Wong, Z. Shen, J. G. Andrews, and B. L. Evans, ``A Low Complexity Algorithm for Proportional Resource Allocation in OFDMA Systems , Proc. IEEE Int. Work. Signal Processing Platform: |
Size: 16384 |
Author:hh |
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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: 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: 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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