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Joint Beamforming Design and Power Allocation for Full-Duplex NOMA Cognitive Relay Systems

机译:全双工NOma的联合波束成形设计和功率分配   认知中继系统

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摘要

In this paper, we consider a non-orthogonal multiple access cognitive radionetwork, where a full-duplex multi-antenna relay assists transmission from abase station (BS) to a cognitive far user, whereas, at the same time, the BStransmits to a cognitive near user. Our objective is to enlarge the far-nearuser rate region by maximizing the rate of the near user under a constraintthat the rate of the far user is above a certain threshold. To this end, anon-convex joint optimization problem of relay beamforming and the transmitpowers at the BS and cognitive relay is solved as a semi-definite relaxationproblem, in conjunction with an efficiently solvable line-search approach. Forcomparisons, we also consider low complexity fixed beamformer design, where theoptimum power allocation between the BS and cognitive relay is solved. Ourresults demonstrate that the proposed joint optimization can significantlyreduce the impact of the residual self-interference at the FD relay andinter-user interference in the near user case.
机译:在本文中,我们考虑了一个非正交的多址认知无线电网络,其中全双工多天线中继协助从基站(BS)向认知远方用户的传输,而与此同时,BS传输至认知远距离用户接近用户。我们的目标是在远方用户的比率高于某个阈值的约束下,通过最大化近方用户的比率来扩大远方用户比率区域。为此,结合有效解决的线搜索方法,解决了半连续松弛问题,即中继波束成形的非凸联合优化问题以及基站和认知中继的发射功率。为了进行比较,我们还考虑了低复杂度的固定波束形成器设计,其中解决了BS和认知中继之间的最佳功率分配。我们的结果表明,所提出的联合优化可以显着减少FD中继处的残余自干扰和在近用户情况下的用户间干扰的影响。

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