摘要
自适应OFDM系统的比特功率分配能够提高频谱利用率,可以有效地克服低压电力线的多径干扰.在实际系统中,由于对传输比特数整数规划的要求,注水功率算法无法达到比特功率分配的优化结果,鉴于此考虑低压电力线信道的实际传输特性,提出具有变异特性的简化云粒子群优化算法(SCAPSO),对OFDM系统进行比特功率分配,从而解决在功率及系统误码率限定条件下传输速率最大化的比特功率分配问题.仿真实验表明,本文提出的算法与贪婪算法性能相当,节省运算时间,与注水功率算法和粒子群优化算法相比,提高了系统传输速率.
Adaptive OFDM system can improve spectrum efficiency and overcome the multi-path interference of the low-voltage power line effectively.Due to the modulation manner and actual integer programming requirements,optimal results of Water-filling algorithm can not be obtained.Simplified cloud particle swarm optimization（SCAPSO） with characteristics of variation is proposed in this paper in consideration of transmission behaviour of power line channel,accordingly the problem of bit allocation maximizing data rate under the power and bit error rate constraints over the distribution network is solved.Numeral results demonstrate the performance of proposed algorithm is the same as that of greedy algorithm,reducing calculation time,the improving transmission rate comparing with the WFA and particle swarm optimization algorithm.
出处
《哈尔滨理工大学学报》
CAS
北大核心
2011年第4期73-77,共5页
Journal of Harbin University of Science and Technology
基金
哈尔滨市青年科技创新人才专项基金(RC2008QN009005)
黑龙江省自然科学基金(F200914)
关键词
低压电力线
OFDM
简化云粒子群算法
比特功率分配
low-voltage power line
OFDM
simplified cloud particle swarm optimization
bit and power allocation
