隨著無線通信的發展，網絡業務將逐漸由語音業務為主過渡到以不同QoS 要求的數據業務占主導地位, 簡單的無線包調度算法如 max.C/I（最大信噪比）和WRR（公平輪循）
將無法滿足不同數據業務QoS 需求。本文提出一種適應無線局域網特點的基于遺傳算法的自適應包調度算法（AGAPS），該算法工作在數據鏈路層，這種算法適應無線網絡；AGAPS根據信道狀態、業務的QoS 需求、隊列長度等參數來決定系統資源的分配，保護基站免受一些信息包流量的過度輪詢，減少系統延時，提高系統的吞吐量。仿真結果表明AGAPS 算法對比max.C/I 算法有更好的用戶公平性，而且系統吞吐量比WRR 算法高。
關鍵字：自適應包調度；QoS ；遺傳算法
Abstract:With the development of wireless communications, network business will transit gradually from the Voice mainly to the different QoS requirements data-dominated business. Simple wireless packet scheduling algorithm as max.C/I and? WRR will not be able to meet the needs of different data QoS. A GA based adaptive packet scheduling algorithm (AGAPS) for WLAN was proposed in this paper, this algorithm worked in the data link layer, this algorithm adapt wireless networks. AGAPS according to the channel state, the QoS needs of business and the length of the queue to determine the allocation of the system resources. To protection of base stations from some of the packets flow over polling, reduce system latency and improve the throughput. Simulation results show that the proposed AGAPS have better user fairness than max .C/I and higher system throughput than WRR.
Keywords: adaptive packet scheduling；QoS； GA；