Neural Network Handoff Decision in Mobile Cellular using Received Signal Strength and Traffic Intensity
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บทคัดย่อ
This paper proposes the handoff approach by means of Neural Network for mobile telephone system, such as Global System for Mobile communication (GSM), especially focus on received signal strength (RSS) and traffic intensity (TI). A model of Base Transceiver Station (BTS) or cell, 7 cells, that have several traffic intensity. And using the principle of the mobiles in the hysteresis area can connect to more than one cell for handoff to the lower traffic intensity cell. The result shown that the proposal can reduce the drop calls, keeps the call blocking for acceptation of Grade of Service (GOS) and decreases the unnecessary handoffs)
Article Details
บทความ ข้อมูล เนื้อหา รูปภาพ ฯลฯ ที่ได้รับการตีพิมพ์ในวารสารแนวหน้าวิจัยนวัตกรรมทางวิศวกรรม ถือเป็นลิขสิทธิ์ของวารสารฯ เท่านั้น ไม่อนุญาติให้บุคคลหรือหน่วยงานใดคัดลอกเนื้อหาทั้งหมดหรือส่วนหนึ่งส่วนใดไปเผยแพร่เพื่อกระทำการใด ๆ ที่ไม่ถูกต้องตามหลักจริยธรรม
References
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