TY - GEN
T1 - Optimal retransmission probability for S-ALOHA under the infinite population model
AU - Rivero-Angeles, Mario E.
AU - Lara-Rodriguez, Domingo
AU - Cruz-Pérez, Felipe A.
PY - 2007
Y1 - 2007
N2 - In this paper, a mathematical analysis method to simultaneously evaluate throughput and access delay considering an infinite population model is considered. Most of the previous related research has been done considering both finite population and saturation conditions where all the nodes in the system have always a packet ready to be transmitted and the transmission queue of each station is assumed to be always nonempty. This assumption is a good approximation for a Local Area Network working at full capacity; however, in a cellular system the assumptions of finite population and that every node in a cell has always a packet to transmit is not very realistic. Here, analytical results considering a S-ALOHA random access protocol with a Poisson arrival process - more suitable for the traffic model in a cellular system - for the users in the cells is presented. Using the Geometrical Backoff (GB) strategy, two approaches to find the optimum retransmission probabilities are developed; in the first one, the number of backlogged packets is required while a simpler and efficient alternative method requires only the knowledge of the new packet arrival rate.
AB - In this paper, a mathematical analysis method to simultaneously evaluate throughput and access delay considering an infinite population model is considered. Most of the previous related research has been done considering both finite population and saturation conditions where all the nodes in the system have always a packet ready to be transmitted and the transmission queue of each station is assumed to be always nonempty. This assumption is a good approximation for a Local Area Network working at full capacity; however, in a cellular system the assumptions of finite population and that every node in a cell has always a packet to transmit is not very realistic. Here, analytical results considering a S-ALOHA random access protocol with a Poisson arrival process - more suitable for the traffic model in a cellular system - for the users in the cells is presented. Using the Geometrical Backoff (GB) strategy, two approaches to find the optimum retransmission probabilities are developed; in the first one, the number of backlogged packets is required while a simpler and efficient alternative method requires only the knowledge of the new packet arrival rate.
KW - Geometric backoff
KW - Optimum retransmission probability
KW - S-ALOHA
KW - Throughput analysis
UR - http://www.scopus.com/inward/record.url?scp=36349009830&partnerID=8YFLogxK
U2 - 10.1109/WCNC.2007.447
DO - 10.1109/WCNC.2007.447
M3 - Contribución a la conferencia
AN - SCOPUS:36349009830
SN - 1424406595
SN - 9781424406593
T3 - IEEE Wireless Communications and Networking Conference, WCNC
SP - 2399
EP - 2404
BT - 2007 IEEE Wireless Communications and Networking Conference, WCNC 2007
T2 - 2007 IEEE Wireless Communications and Networking Conference, WCNC 2007
Y2 - 11 March 2007 through 15 March 2007
ER -