CAJ | 학술논문

为了充分实现中继协作，降低多中继协作通信系统功率分配优化问题的计算复杂度，提出了基于萤火虫算法的多中继功率分配方案。在一定的总功率和节点功率约束下，以最大化平均信噪比为优化目标函数，建立了多中继协作系统的功率分配最优化模型。选取该目标函数作为萤火虫的适应度函数，用向量表示萤火虫的状态，该向量的维数为待分配源节点和中继节点的个数，通过萤火虫聚集得到种群中最好的萤火虫，即可获得渐进最优功率分配。仿真结果表明，与平均功率分配相比，基于萤火虫算法的功率分配方案能降低2.44%~6.17%的比特差错率，提高了系统性能。
위료충분실현중계협작，강저다중계협작통신계통공솔분배우화문제적계산복잡도，제출료기우형화충산법적다중계공솔분배방안。재일정적총공솔화절점공솔약속하，이최대화평균신조비위우화목표함수，건립료다중계협작계통적공솔분배최우화모형。선취해목표함수작위형화충적괄응도함수，용향량표시형화충적상태，해향량적유수위대분배원절점화중계절점적개수，통과형화충취집득도충군중최호적형화충，즉가획득점진최우공솔분배。방진결과표명，여평균공솔분배상비，기우형화충산법적공솔분배방안능강저2.44%~6.17%적비특차착솔，제고료계통성능。
To fully realize the potentials of relay-assisted transmission and reduce the computational com-plexity of power allocation for multi-relay cooperative communication systems,a power allocation scheme based on glowworm swarm optimization( GSO) algorithm is proposed. With a total transmiting power and per-node transmitting power constraints,the power allocation optimization model is presented to maximize the average signal-to-noise ratio( SNR) . The objective function is selected as fitness function of GSO,sta-tus of fireflies is measured by a vector,of which each element represents power of source node and the relay node,respectively. Most fireflies in the GSO gather at the location where the fitness function value is the best,i. e. asymptotically optimal power allocation scheme is obtained. Simulation and numerical results demonstrate that power allocation scheme based on GSO achieves better performance with lower bit error rate up to 2. 44% ~6. 17% compared with equal power allocation(EPA).