认知网络的缩放定律
Scaling Laws of Cognitive Networks
摘要：
我们考虑一个认知网络，由n个随机对的认知发射机和接收机同时通信，在存在多个主用户。感兴趣的是认知用户实现的最大吞吐量如何随n缩放。此外，这些用户必须距离主用户多远才能保证给定的主中断。网络缩放定律考虑了两种情况：（i）当每个认知发射机使用恒定功率与有界距离处的认知接收机通信时，以及（ii）当每个认知发射机根据到所考虑的主用户的距离缩放其功率时，允许认知发射机-接收机距离增长。使用单跳传输，适合认知设备的机会主义性质，我们表明，在这两种情况下，路径损耗大于2，认知网络的吞吐量与认知用户的数量呈线性关系。然后，我们探索了一个主要的专属区域的认知发射器的半径。对于给定的主中断约束，我们得到了这个半径的界。这些界限可以帮助设计一个具有专属区域的主网络，在该区域之外，认知用户可以自由传输。我们的研究结果表明，机会二级频谱接入使用单跳传输是有前途的。
英文摘要：
We consider a cognitive network consisting of n random pairs of cognitive transmitters and receivers communicating simultaneously in the presence of multiple primary users. Of interest is how the maximum throughput achieved by the cognitive users scales with n. Furthermore, how far these users must be from a primary user to guarantee a given primary outage. Two scenarios are considered for the network scaling law: (i) when each cognitive transmitter uses constant power to communicate with a cognitive receiver at a bounded distance away, and (ii) when each cognitive transmitter scales its power according to the distance to a considered primary user, allowing the cognitive transmitter-receiver distances to grow. Using single-hop transmission, suitable for cognitive devices of opportunistic nature, we show that, in both scenarios, with path loss larger than 2, the cognitive network throughput scales linearly with the number of cognitive users. We then explore the radius of a primary exclusive region void of cognitive transmitters. We obtain bounds on this radius for a given primary outage constraint. These bounds can help in the design of a primary network with exclusive regions, outside of which cognitive users may transmit freely. Our results show that opportunistic secondary spectrum access using single-hop transmission is promising.
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。
