协作认知网络中的网络编码技术
Network Coding Techniques in Cooperative Cognitive Networks
摘要：
在本文中，我们研究了一个基本的合作认知无线电网络，即传输技术，一种无线电系统，其中次用户可以充当主用户发送的消息的中继，因此提供主用户传输的性能改进，同时为其自己的传输获得更多的传输机会。具体来说，我们研究的可能性，提高整体系统的性能，采用网络编码技术。目标是实现这一点，同时仅积极地影响主要用户传输，即：1）避免主发射机处的网络编码操作，以避免其复杂性和存储要求的增加，2）保持由主接收器接收的分组的顺序与在非协作情况下相同，以及诱导分组服务时间，该分组服务时间随机小于在非合作情况下诱导的分组服务时间。一个网络编码算法的研究方面实现的吞吐量区域，它示出扩大次用户吞吐量相比，作为一个简单的中继的情况下，次发射机作为，而离开主用户的稳定区域不受影响。该算法的一个显着特点是，它的操作没有信道和数据包到达率统计的知识。我们还研究了第二个网络编码算法，增加了系统的吞吐量区域，但是，后者的算法需要的信道和数据包到达率统计的知识。
英文摘要：
In this paper, we investigate transmission techniques for a fundamental cooperative cognitive radio network, i.e., a radio system where a Secondary user may act as relay for messages sent by the Primary user, hence offering performance improvement of Primary user transmissions, while at the same time obtaining more transmission opportunities for its own transmissions. Specifically, we examine the possibility of improving the overall system performance by employing network coding techniques. The objective is to achieve this while affecting Primary user transmissions only positively, namely: 1) avoid network coding operations at the Primary transmitter in order avoid increase of its complexity and storage requirements, 2) keep the order of packets received by the Primary receiver the same as in the non cooperative case and 3) induce packet service times that are stochastically smaller than packet service times induced in the non-cooperative case. A network coding algorithm is investigated in terms of achieved throughput region and it is shown to enlarge Secondary user throughput as compared to the case where the Secondary transmitter acts as a simple relay, while leaving the Primary user stability region unaffected. A notable feature of this algorithm is that it operates without knowledge of channel and packet arrival rate statistics. We also investigate a second network coding algorithm which increases the throughput region of the system; however, the latter algorithm requires knowledge of channel and packet arrival rate statistics.
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。
