Layered Random Beamforming OFDMA with Fair Scheduling Algorithms
Layered Random Beamforming OFDMA with Fair Scheduling Algorithms
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具有公平调度算法的分层随机波束成形 OFDMA
DOI：
10.1109/vetecs.2008.233
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Yong Sun
中科院分区：
文献类型：
--
作者：
Congzheng Han;A. Doufexi;S. Armour;J. McGeehan;Yong Sun
本文在真实的室外环境中，对分层随机波束形成(LRB) - MIMO-OFDMA采用各种反馈缩减的资源调度算法进行了性能分析。LRB能够利用空间多用户分集增益、空间多路复用容量增益和层空间多用户分集增益，这是通过同时向不同目的地传输数据的多路复用来实现的。与传统的波束形成系统不同，LRB系统只需要一个有效的基于信号干扰和噪声比（ESINR）的数值数据率作为MIMO信道的每个空间层的反馈，因此与需要更详细的信道信息反馈的系统相比，它的反馈需求可能更低。通过将LRB技术与OFDMA相结合，与单载波LRB系统相比，LRB-OFDMA可以获得额外的频谱多用户分集增益。针对LRB-OFDMA提出了各种调度算法，它们都表现出在保持公平性和最小化延迟之间的权衡。利用一些成熟的统计信道模型和传播建模工具对LRB-OFDMA的性能进行了评估，这些模型代表了一个真实的室外环境。
This paper presents performance analysis of layered random beamforming (LRB) - MIMO-OFDMA employing various resource scheduling algorithms with feedback reduction in a realistic outdoor environment. LRB enables the exploitation of spatial multi-user diversity gain, spatial multiplexing capacity gain and layer spatial multi-user diversity gain, which is achieved by enabling the multiplex of data transmitted simultaneously to different destinations. Unlike a conventional beamforming system, an LRB system only requires an effective signal to interference and noise ratio (ESINR) based numerical data rate as feedback from every spatial layer of the MIMO channel and thus has potentially lower feedback requirements than a system which requires feedback of more detailed channel information. By combining the LRB technique with OFDMA, LRB-OFDMA can achieve an additional spectral multi-user diversity gain compared to the single carrier LRB system. Various scheduling algorithms are proposed for LRB-OFDMA and they show a trade-off between maintaining fairness and minimising delay. The performance of LRB-OFDMA is evaluated using some well-established statistical channel models as well as a propagation modeling tool, which represents a realistic outdoor environment.