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近年来,出现了一种新型的认知无线网络模型,其方法是利用主用户当前通信频段,认知用户通过中继主用户数据传输,获得自身数据传输的机会。传统的分时隙中继方法效率较低,文章基于多输入多输出(MIMO)技术,给出一种新的认知中继网络模型,实现了中继数据和自身数据的同时传输,提高了效率。在主用户干扰约束条件下,提出了最优波束形成算法,在理论上推导了最优权值矩阵,获得了认知用户的最大信干噪比,并通过仿真进行了验证。
In recent years, a new type of cognitive wireless network model has emerged. The method is to use the current communication frequency band of the primary user and acquire the opportunity of data transmission by the cognitive user through the transmission of the main user data of the relay. The traditional sub-timeslot relay method is inefficient. Based on multiple-input multiple-output (MIMO) technology, this paper proposes a new cognitive relay network model to realize the simultaneous transmission of relay data and its own data, effectiveness. Under the interference constraint of primary user, an optimal beamforming algorithm is proposed, and the optimal weight matrix is deduced in theory. The maximum SINR of cognitive user is obtained and verified by simulation.