Cooperative packet recovery in enterprise WLANs
Cooperative packet recovery in enterprise WLANs
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DOI：
10.1109/infcom.2013.6566928
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发表时间：
2013-04
期刊：
影响因子：
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通讯作者：
Mahanth K. Gowda;Souvik Sen;Romit Roy Choudhury;Sung-Ju Lee
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文献类型：
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作者：
Mahanth K. Gowda;Souvik Sen;Romit Roy Choudhury;Sung-Ju Lee
在无线网络中，协作分组恢复已经被广泛研究，其中分组的损坏副本被组合以恢复原始分组。虽然以前的工作，如MRD（多无线电分集）和软应用组合的比特和比特的信心，在符号级的组合已被避免。原因在于在企业WLAN的不同AP之间共享原始符号信息的开销过高。我们提出的Epicenter克服了这一限制，并结合多个副本的错误接收的“符号”，以推断实际传输的符号。我们的核心发现是，符号不需要表示在全保真度-粗糙的符号表示可以保留其大部分的多样性，同时大大降低了开销。然后，我们开发了一个速率估计算法，实际上利用符号级合并。我们的USRP/GNURAdio测试平台证实了我们的想法的可行性，与Soft相比，吞吐量增加了40%，与802.11相比，吞吐量增加了25-90%。虽然收益是适度的，我们相信他们是现实的，并提供了最小的修改，今天的EWLAN系统。
Cooperative packet recovery has been widely investigated in wireless networks, where corrupt copies of a packet are combined to recover the original packet. While previous work such as MRD (Multi Radio Diversity) and Soft apply combining to bits and bit-confidences, combining at the symbol level has been avoided. The reason is rooted in the prohibitive overhead of sharing raw symbol information between different APs of an enterprise WLAN. We present Epicenter that overcomes this constraint, and combines multiple copies of incorrectly received “symbols” to infer the actual transmitted symbol. Our core finding is that symbols need not be represented in full fidelity - coarse representation of symbols can preserve most of their diversity, while substantially lowering the overhead. We then develop a rate estimation algorithm that actually exploits symbol level combining. Our USRP/GNURadio testbed confirms the viability of our ideas, yielding 40% throughput gain over Soft, and 25-90% over 802.11. While the gains are modest, we believe that they are realistic, and available with minimal modifications to today's EWLAN systems.