Description: 本程序为一种基于凸优化的OFDM信道估计算法，平滑SLO算法是求解稀疏线性方程组的一种迭代解法，本程序将其应用于OFDM信道估计，取得了较好的信号估计精度以及速度-This procedure is a convex optimization of OFDM-based channel estimation algorithm, smoothing algorithm SLO is sparse system of linear equations to solve an iterative method, the procedure will be applied to OFDM channel estimation, the signal to obtain a better estimation accuracy and speed Platform: |
Size: 4096 |
Author:赵亮 |
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Description: 研究了单基站功率约束条件下的多点协作多输入单输出干扰下行链路系统的和速率最大化非凸优化问
题。为有效求解和速率最大化优化问题，首先采用分层优化方法将和速率最大化优化问题分解成发射功率最小
化优化问题和单输入单输出干扰信道的和速率最大化优化问题 其次利用二阶锥规划优化方法求解发射功率最
小化优化问题 然后利用凸近似和几何规划方法求解单输入单输出干扰信道的和速率最大化优化问题 最后通
过交替求解这两个子优化问题，进而提出了一种新颖的单调协同多点波束成形算法 而且利用单有界序列原理
证明了所提算法的收敛性。数值仿真表明所提算法只需约四次迭代即可收敛到稳定点，而且所获得的最优性能
非常接近穷举搜索算法的最优性能。-Single base station power constraints under the multi-point collaboration and the rate of multiple-input single-output interference downlink system to maximize non-convex optimization problem. For maximizing the effective solving and rate optimization problem, first hierarchical optimization method to maximize the rate optimization problem into minimum transmit power optimization problem and the single-input single-output interference channel and rate maximization optimization problem Secondly, the second-order cone programming optimization method for solving the minimum transmit power optimization problem then using convex approximation and geometric programming method for single-input single-output interference channel and maximizing the rate optimization problem Finally, by alternately solving the two sub-optimization problems, and then put forward a novel monotonous collaborative multi-beamforming algorithm and the use of single-, bounded sequence principle that the convergence Platform: |
Size: 684032 |
Author:李腾飞 |
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Description: Based on the principle of OFDM system, the paper mainly includes the following aspects: the development of mobile communications, the characteristics of the radio channel, OFDM system theory, the advantages and disadvantages, key technologies, and adaptive technology of the OFDM technologies.Next, the OFDM symbol function, time domain and frequency domain model is analyzed detailed by some basic knowledge, some basic knowledge of Convex optimization problem.-Based on the principle of OFDM system, the paper mainly includes the following aspects: the development of mobile communications, the characteristics of the radio channel, OFDM system theory, the advantages and disadvantages, key technologies, and adaptive technology of the OFDM technologies.Next, the OFDM symbol function, time domain and frequency domain model is analyzed detailed by some basic knowledge, some basic knowledge of Convex optimization problem. Platform: |
Size: 64512 |
Author:znp |
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Description: Being the overall problem non-convex in terms
of transmitted power, we propose to solve it distributedly, where each femto access
point (FAP) optimizes a convex function for some measured interference levels. If the
optimization is done independently at each FAP, we can formulate the overall
problem as a non-cooperative game where each action is taken as a selfish response to
the own FAP channel states and to the interference generated by other FAP decisions. Platform: |
Size: 344064 |
Author:Pikachu |
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Description: Show the channel capacity can be computed using convex optimization.-Capacity of a communication channel.Show how the channel capacity can be computed using convex optimization. Platform: |
Size: 1024 |
Author:zqzhang |
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Search - convex optimization channel