摘要
为寻求替代计算更容易的解决方案,文章提出了一个多项式时间启发式算法,即节能效率启发式调度,从而使分配到的每个空闲频率的认知用户达到最高节能效率。将原来的问题重新制定了资源分配方案,即基于能耗限制的吞吐量最大化调度和基于吞吐量保证约束的能耗最小化调度。这两个调度也提供资源分配公平性的能力。在连续和分散频谱情况下,文章分析了节能效率和所提出的调度成功传输的概率。性能研究表明,相比于吞吐量最大化的目标单纯的机会调度,调度可在更好的节能效率下达到几乎相同的吞吐量性能。
To find and replace an easier computing solution, this paper presents a polynomial time heuristic algorithm, that is energy efficiency of heuristic scheduling, so as to make each cognitive user idle frequency assigned to the highest energy efficiency.The original problem is made resource allocation scheme, that is maximum throughput scheduling based on energy consumption limit and ensuring energy consumption minimization scheduling based on throughput capacity. These two scheduling also provide resource allocation fairness ability. In the continuous and dispersed spectrum case, this paper analyzes the energy efficiency and the probability of successful transmission scheduling put forward. Properties studies have shown, compared with the goal of maximizing throughput simple opportunistic scheduling, scheduling can achieve almost the same throughput performance in better energy efficiency.
作者
董春利
王莉
Dong Chunli Wang Li(Electronics and Information Engineering School of Nanjing Vocational Institute of Transport Technology, Nanjing 211188, China)
出处
《无线互联科技》
2017年第13期11-13,共3页
Wireless Internet Technology
基金
南京交通职业技术学院高层次人才科研基金项目
项目编号:No.440105001
关键词
认知无线电
节能效率
启发式调度
吞吐量性能
cognitive radio
energy efficiency
heuristic scheduling
throughput performance