摘要
该文首先分析了基于二维波束及Alamouti编码的MIMO-OFDM系统模型,针对实际情况中发射端已知部分信道状态的情况,提出了在平均参量反馈信道模型下的最优自适应比特和功率分配算法。该算法利用拉格朗日算法将约束条件下的最优化问题进行转化,并采用对分算法加快搜索最优拉格朗日乘子的收敛速度。仿真结果表明,该算法不仅可以在满足目标BER及发射功率的情况下保证较高的数据传输率,并且计算复杂度低于传统算法。
The MIMO-OFDM based on 2D beamforming and Alamouti code is analyzed. As perfect knowledge is rarely available at transmitter in practice, an algorithm for the optimal adaptive bit and power allocation based on the channel mean feedback is proposed. Lagrange solution is employed to convert the constrained optimization problem and bisection method is used to reach a fast convergence in searching for the optimize Lagrange multiplier. It is shown that the new algorithm can maximize the date rate under the condition of target BER and transmitter power with low complexity than the conventional method.
出处
《电路与系统学报》
CSCD
北大核心
2008年第3期49-52,共4页
Journal of Circuits and Systems
基金
国家自然科学基金重大项目(60496316)
