CAJ | 학술논문

为提高多小区多用户下行链路波束形成设计对两种非理想因素收发机损耗和信道不确定性的鲁棒性，该文针对两个包含非理想条件约束的优化问题提出了两种优化算法，通过逐步释放非凸约束，将原始的鲁棒性非凸优化问题转换成相对容易求解的等效问题。最后用凸优化工具对其进行了高效的求解，并与现有的算法进行对比。数值仿真结果表明，同时考虑两种非理想因素的两种算法比传统的算法能获得更好的平均信干噪比和最差信干噪比。
위제고다소구다용호하행련로파속형성설계대량충비이상인소수발궤손모화신도불학정성적로봉성，해문침대량개포함비이상조건약속적우화문제제출료량충우화산법，통과축보석방비철약속，장원시적로봉성비철우화문제전환성상대용역구해적등효문제。최후용철우화공구대기진행료고효적구해，병여현유적산법진행대비。수치방진결과표명，동시고필량충비이상인소적량충산법비전통적산법능획득경호적평균신간조비화최차신간조비。
In order to improve the robustness of the multi-cell multi-user multi-antenna downlink beamforming under the circumstance of considering the transceiver impairment and the imperfect channel information, two robust algorithms are proposed to solve the optimization issues considering two non-ideal factors. By releasing the non-convex constraints step by step, the original robust non-convex optimization issues are transformed to relatively easy-to-solve equivalent issues. The issues are effectively solved by using convex tool box, and the proposed algorithms are compared with traditional algorithms. Numerical simulations show that the proposed two algorithms can achieve better average-SINR and worst-SINR than the conventional algorithms without considering the two non-ideal factors.