無線網路環境下,最有潛力的莫過於資訊服務。許多現有的定點式服務,未來可能出現在無線環境中,而其他新式的應用也將為移動中的人們賦予新價值與新服務。 在無線環境中,能量與品質是提供應用與服務的兩大考量,是故,有限的能量資源與對延遲敏感的網路服務將會是傳輸策略的兩大議題。若能巧妙的掌握運用傳輸的資料型態、頻道品質、網路狀態,便能規劃出延長使用時間,並兼顧服務品質的傳輸策略。 本論文中,我們結合了「延遲引入」[15]的觀念與「臨界值」[7]的想法,試圖找到最大化系統效能的傳輸方案。即:在不同數量的待傳輸封包下,系統將提供不同的傳輸速率。我們根據排隊理論將系統狀態表示成數學規劃問題,在符合服務品質與傳輸功率的條件下,試圖找到一組最佳的傳輸速率與臨界值以最大化整體系統效能。
It seems clear that information services have an almost unlimited potential in a wireless environment. Many of today’s “fixed” applications will continue to be useful in a mobile environment, and a variety of new services are certain to evolve for people on the move. Since the energy conservation and the QoS guarantees are the major concerns in supporting heterogeneous data applications in mobile devices, the limited portable battery energy and the delay sensitivity of data services will also play important roles in the design of such transmission strategies. Therefore, intelligently using the knowledge about the traffic, channel, and network, we can design transmission strategies which are not only capable of extending the battery lifetime as much as possible, but also maintaining the agreed QoS. In this thesis we combine the idea of smartly introducing communication delay from[15] and the threshold concept of [7], and try to find energy efficient transmission schemes that maximize system throughput, in which given different packet volume waiting to be transmitted, the system provides different service rates. According to the Queueing Theory, we preliminary model the system behavior into nonlinear mathematical programming problems. By maximizing the system throughput under the constraints of QoS requirements and the power limitation, we try to find the best transmission rate for different packet volumes.