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Transactions: WSEAS TRANSACTIONS ON COMMUNICATIONS
Transactions ID Number: 32-740
Full Name: Kuo-Feng Huang
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: 151 Ying-chuan Road Tamsui, Taipei County Taiwan 25137
Country: TAIWAN
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E-mail address: 896410148@s96.tku.edu.tw
Other E-mails: sailer5069@gmail.com
Title of the Paper: QPPS : Qos Provision Packet Scheduling Algorithm in High Speed Downlink Packet Access
Authors as they appear in the Paper: Ying-Hong Wang, Kuo-Feng Huang
Email addresses of all the authors: inhon@mail.tku.edu.tw,896410148@s96.tku.edu.tw
Number of paper pages: 10
Abstract: The 3rd Generation WCDMA standard has been enhanced to offer significantly increased performance for packet data. But coming application such as multimedia on desiring data rates will urge the UMTS support. To support such high data rates, High Speed Downlink Packet Access (HSDPA) labeled as 3.5G wireless system, has been published in UMTS Release 5. Under the HSDPA system, it will have to support high speed transmission and promises a peak data rate of up to 10Mb/s. To achieve such high speed rate, system provides the information of Channel Quality Indicator (CQI) information to detect the air interface condition. Then, there are many channel condition related scheduling schemes have been proposed to attend achievement of high system performance and guarantee the quality-of-service (QoS) requirements. However, there is no solution of packet scheduling algorithm can consider differences of data-types priority management under the hybrid automatic repeat (HARQ) scen!
ario. In this paper, we propose the weight combination packet scheduling algorithm to target to enhance the system efficiency and balance QoS requirements. The proposed schemes is simulated with OPNET simulator and compared with the Max CIR and PF algorithms in fast fading channel. Simulation result shows that the proposed algorithm can both increase the cell throughput effectively and meet user¡¦s satisfaction base on QoS requirements.
Keywords: HSDPA; UMTS; Scheduling; QOS
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