ID |
原文 |
译文 |
46486 |
首先,利用可信中继与非信任中继交替转发产生的中继间干扰,恶化非信任中继的窃听条件。 |
First inter-relay interference between trusted relay and untrusted relaywas exploited as artificial noise to degrade untrusted relay’s eavesdropping condition, |
46487 |
然后,利用信号在时域上的相关性进行干扰迭代消除,完全消除合法用户处中继间干扰,提升合法用户接收信号质量。 |
then interference iterative cancella-tion was adapted to improve signal quality at legitimate user by making use of correlation between signals in time domain. |
46488 |
在此基础上,提出了以最小化窃听和容量为目标的快速功率分配算法。 |
Based on this, a quick power allocation algorithm aiming to minimize untrusted relay’s sum rate was proposed. |
46489 |
分析和仿真结果表明,方案在保障通信效率的同时抑制了非信任中继的窃听,在仿真条件下,系统的保密速率提升了至少 2 bit·s −1 ·Hz −1 。 |
Analysis and simulation results show that the proposed scheme suppress untrusted relay’s eavesdropping without loss of commu-nication efficiency, a promotion of at least 2 bit·s −1 ·Hz −1 in secrecy rate can be observed. |
46490 |
针对认知能量采集网络,提出一种基于系统吞吐量最大化的功率分配算法。 |
An algorithm to optimize the power allocation by maximizing the system throughput in cognitive radio energyharvesting networks was proposed. |
46491 |
该算法在满足 2 个次用户节点采集能量的因果性限制和对主用户干扰限制的条件下,构建了系统吞吐量的优化模型; |
The algorithm formulated the throughput optimization model subject to the causalityconstraints of the harvested energy within the two secondary users and the interference constraint of the primary user. |
46492 |
通过变量代换和问题等价性变换,将各节点的功率和协作能量联合优化问题解耦为分离的功率分配问题和逐个时隙的协作能量求解问题, |
Inaddition, by applying the variable-substitution method and problem equivalence transformation, the joint optimizationproblem of power and cooperative energy was decoupled into two problems: a power allocation problem and a coopera-tive energy one. |
46493 |
而原问题的最优解则通过迭代求解分离的 2 个问题来获得。 |
The former problem could be solved by iterating the two decoupled problems. |
46494 |
仿真结果表明,在 2 个节点采集能量总量差距较大时,能量协作可以显著提高系统吞吐量。 |
As shown in the simula-tion results, the energy cooperation can significantly improve the system throughput when the harvested energy differencebetween two nodes is rather large. |
46495 |
无连接的 UDP 数据流产生的大量冗余控制分组会对 SDN 控制器和网络产生严重的性能影响。 |
Large numbers of redundant control packets produced by connectionless UDP flows may engender serious in-fluence over the performance of the SDN controllers and networks. |