信道容量与切换时延是次级用户选择目标信道的2个重要性能指标, 目前的目标信道设计方法多数没有同时考虑这2个指标, 存在一定的局限性.为此, 基于多目标遗传算法, 提出2种综合考虑累积时延和信道容量的目标信道序列设计算法:离散非支配排序遗传算法和离散的基于Pareto包络选择算法, 并设计离散的种群编码和更新方式.仿真结果表明, 与传统随机顺序访问方法相比, 所提算法的信道容量提高24％以上, 时延减少9％, 能够兼顾网络实时性和高吞吐率.%Channel capacity and handoff delay are two important performance indicators for secondary users to select target channel. Most of the current target channel design methods do not consider these two indicators at the same time, and there are certain limitations. Therefore, this paper proposes two kinds of target channel design algorithms based on handoff delay and channel capacity basedon multi-objective Genetic Algorithm (GA) :Discrete Non-dominated Sorting Genetic Algorithm (DNSGA-Ⅱ) and Discrete Pareto Envelope-based Selection Algorithm (DPESA-Ⅱ). The discret population coding and updating mode are given. Simulation results show that compared with the traditional random sequential access methods, the capacity of the proposed algorithm is higher than 24％ and delay is reduced by more than9％, which can balance the real-time and high throughput of the network.
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