Congestion control based ant colony optimization algorithm for large MIMO detection
作者:
Highlights:
• Concept of negative pheromone is used to avoid the early convergence to a local minima.
• A new probabilistic search approach for detection in large MIMO systems is proposed.
• Improved performance under channel estimation error is achieved.
• Bit error rate performance improves with increase in number of antennas.
摘要
•Concept of negative pheromone is used to avoid the early convergence to a local minima.•A new probabilistic search approach for detection in large MIMO systems is proposed.•Improved performance under channel estimation error is achieved.•Bit error rate performance improves with increase in number of antennas.
论文关键词:Ant colony optimization,Multiple-input multiple-output,Minimum mean squared error,Zero forcing,Channel estimation error,Successive interference cancellation,Maximum likelihood
论文评审过程:Available online 31 December 2014.
论文官网地址:https://doi.org/10.1016/j.eswa.2014.12.035