MIMO communication; OFDM modulation; antennas; approximation theory; array signal processing; convex programming; iterative methods; multiuser channels; radiofrequency interference; resource allocation; IWF; SCA; ZFB; computational complexity; continuous sum-rate maximization; continuous-rate algorithm; coordinated multipoint transmission maximization weighted sum-rate; discrete sum-rate maximization; iterative waterfilling; medium-to-high interference scenarios; multiple CoMP base stations; multiple co-channel user terminals; multiuser MIMO-OFDM systems; multiuser multiple-input multiple-output systems; orthogonal frequency-division multiplexing systems; per-antenna power constraints; resource allocation algorithms; successive convex approximation; zero-forcing beamforming; Interference; OFDM; Optimization; Resource management; Signal to noise ratio; Transmitting antennas;
机译:优化的浅神经网络,用于节能下行多用户NOMA系统的能量收集中的总和最大化
机译:具有部分CSIT的线性预编码下行链路多用户MISO系统的总速率最大化:一种速率分离方法
机译:一种具有和率最大化的新型多用户MIMO系统
机译:具有COMP的多用户MIMO-OFDM系统的连续和离散和速率最大化
机译:具有不相等子信道噪声功率的双向有源信道的总速率最大化。
机译:使用具有深度学习和伪彩色成像功能的离散PackTest产品最大程度地提高连续定量测量的准确性
机译:具有部分CsIT的线性预编码下行链路多用户mIsO系统的和率最大化:速率分裂方法