关键词: 干扰对齐, 频域多信道, 自由度, 粒子群优化, 梯度, 网络和速率

Abstract:

For multi-frequency channel interference alignment(IA) system with single data stream transmitting for each user,the user solutions of capacities are important. However, there exist methods which can obtain optimal IA solution. Considering the complex multimodal characteristics of solution space of multi-frequency channel in LA system, a new gradient-exploited particle swarm optimization algorithm was proposed to search for the global optimal solution which directly takes the network sum rate as its objective function. The capability for searching the optimal solution is enhanced by projecting the velocity vector on the normal plane of the position vector; the convergence rate is speeded through learning along the gradient of the network sum rate function. Numerical simulation shows that, the proposed method will obtain a better network sum rate performance than that of the existing algorithms.

Key words: interference alignment, multi-frequency channels, degrees of freedom, particle swarm optimization, gradient, network sum rate