arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0810.0326cs.NIcs.ITmath.IT
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利用符号错位解决冲突

Collision Resolution by Exploiting Symbol Misalignment

Lu Lu, Soung Chang Liew, Shengli Zhang

摘要:

本文提出了一种新的冲突解决方法CRESM,用于解码随机接入无线网络中的冲突数据包。在冲突中,接收机同时接收到来自几个源的重叠信号。CRESM利用重叠信号之间的符号未对准来恢复各个分组。CRESM可以在802.11网络中采用,而无需修改发射机设计;在接收机处仅需要简单的DSP技术来解码重叠信号。我们的模拟结果表明,CRESM有更好的BER性能比简单的连续干扰消除(SIC)技术,将干扰作为噪声,几乎所有的SNR制度。CRESM对于随机接入网络的意义是重要的:一般来说,使用CRESM来解决多达n个数据包的冲突,如果允许发送器在MAC协议中更积极地发送,则网络吞吐量可以提高n倍以上。

英文摘要:

This paper presents CRESM, a novel collision resolution method for decoding collided packets in random-access wireless networks. In a collision, overlapping signals from several sources are received simultaneously at a receiver. CRESM exploits symbol misalignment among the overlapping signals to recover the individual packets. CRESM can be adopted in 802.11 networks without modification of the transmitter design; only a simple DSP technique is needed at the receiver to decode the overlapping signals. Our simulations indicate that CRESM has better BER performance than the simplistic Successive Interference Cancellation (SIC) technique that treats interference as noise, for almost all SNR regimes. The implication of CRESM for random-access networking is significant: in general, using CRESM to resolve collisions of up to n packets, network throughput can be boosted by more than n times if the transmitters are allowed to transmit more aggressively in the MAC protocol.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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