Cross-layer optimization for OFDM wireless networks-part II: algorithm development
Cross-layer optimization for OFDM wireless networks-part II: algorithm development
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DOI：
10.1109/twc.2004.843067
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发表时间：
2005-03
影响因子：
10.4
通讯作者：
Guocong Song;Geoffrey Y. Li
中科院分区：
文献类型：
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作者：
Guocong Song;Geoffrey Y. Li
我们已经建立了一个理论框架，在正交频分复用（OFDM）无线网络的跨层优化。在本文中，我们专注于有效的和实用的算法，在OFDM无线网络中的高效和公平的资源分配。我们已经考虑到各种条件，并开发了各种有效的算法，包括排序搜索动态子载波分配，贪婪比特加载，功率分配，以及目标聚合算法。我们还修改了某些类型的非凹效用函数的算法。为了通过利用时间分集来进一步提高性能，可以将低通时间滤波器容易地并入到所有算法中。仿真结果表明，基于效用的跨层优化可以显著提高系统性能，保证公平性。增益来自多用户分集、频率分集以及时间分集。公平是通过边际效用函数的行为自动实现的。
We have established a theoretical framework for cross-layer optimization in orthogonal frequency division multiplexing (OFDM) wireless networks. In this paper, we focus on effective and practical algorithms for efficient and fair resource allocation in OFDM wireless networks. We have taken various conditions into account and developed a variety of efficient algorithms, including sorting-search dynamic subcarrier assignment, greedy bit loading, and power allocation, as well as objective aggregation algorithms. We have also modified those algorithms for a certain type of nonconcave utility functions. To further improve performance by exploiting time diversity, a low-pass time filter can be easily incorporated into all of the algorithms. Simulation results have confirmed that the utility-based cross-layer optimization can significantly enhance the system performance and guarantee fairness. The gains come from multiuser diversity, frequency diversity, as well as time diversity. The fairness is automatically achieved by the behavior of marginal utility functions.