NDLI: Performance evaluation of EDGE under S-ALOHA and adaptive traffic load S-ALOHA random access protocols

Content Provider	IEEE Xplore Digital Library
Author	Rivero-Angeles, M.E. Lara-Rodriguez, D. Cruz-Perez, F.A.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. Eng., CINVESTAV-IPN, Mexico City, Mexico (Rivero-Angeles, M.E.; Lara-Rodriguez, D.; Cruz-Perez, F.A.)
Abstract	We make a performance evaluation of the air interface system EDGE (enhanced data rate for GSM evolution) introducing the adaptive traffic load (ATL) S-ALOHA as the random access protocol. The EDGE system originally considers the S-ALOHA random access protocol to let users access the network for transmitting their data packets. However, S-ALOHA becomes unstable for high traffic loads, rendering very low throughput, and not allowing any user in the network to successfully transmit a packet. In this way, even if the EDGE system has sufficient capacity to give service to the users, system throughput would still be very low since no user can access the network. By introducing the ATL S-ALOHA protocol, we maintain the access throughput constant at the maximum value, allowing users to access the network to transmit their data packets even at very high traffic loads. We evaluate the performance of the EDGE system in terms of average data rate and packet delay for both S-ALOHA and ATL S-ALOHA as the random access protocol.
Starting Page	2291
Ending Page	2295
File Size	440060
Page Count	5
File Format	PDF
ISBN	0780382552
ISSN	15502252
DOI	10.1109/VETECS.2004.1390683
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-17
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Telecommunication traffic Access protocols Throughput GSM Delay Time division multiple access Electronic mail Road accidents Web and internet services Digital communication
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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