咨询与建议

看过本文的还看了

相关文献

该作者的其他文献

文献详情 >Power allocation based on SEP ... 收藏

Power allocation based on SEP minimisation in three-user two-way channel

在三用户的双向隧道基于 9 月 minimisation 驱动分配

作     者:Jin, Xianglan 

作者机构:Pusan Natl Univ Dept Elect & Comp Engn Busan 46241 South Korea 

出 版 物:《IET COMMUNICATIONS》 (IET通信)

年 卷 期:2019年第13卷第15期

页      面:2327-2335页

核心收录:

学科分类:0808[工学-电气工程] 08[工学] 

基  金:Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education  Science and Technology [NRF-2017R1D1A1A09000565] 

主  题:fading channels network coding error statistics Rayleigh channels physical-layer network coding superposition coding equivalent squared minimum distance average symbol error probability suboptimal power allocations ESMD maximisation total power constraint proportional power allocation per-node power constraint high signal-to-noise ratio average power consumption remarkable SEP improvement Rayleigh fading channels SEP minimisation 

摘      要:A three-user two-way channel in which three users exchange their messages through a two-way communication is considered by applying the physical-layer network coding and the superposition coding. The equivalent squared minimum distance (ESMD) is derived as a criterion for power allocation by analysing the average symbol error probability (SEP). Optimal and suboptimal power allocations are proposed based on the ESMD maximisation under total power constraint. Inspired by the result, a proportional power allocation is proposed under per-node power constraint. This scheme improves SEP at high signal-to-noise ratio (SNR) and consumes significantly less power. The average power consumption for each node is mathematically derived as a closed form. Furthermore, a compensation algorithm is introduced, which saves power and simultaneously achieves remarkable SEP improvement over entire SNR range. The numerical simulations over Rayleigh fading channels confirm the superiority of the proposed algorithms.

读者评论 与其他读者分享你的观点

用户名:未登录
我的评分