TY - GEN
T1 - Cross-layer rate control in wireless networks with lossy links
T2 - INFOCOM 2008: 27th IEEE Communications Society Conference on Computer Communications
AU - Gao, Qinghai
AU - Zhang, Junshan
AU - Hanly, Stephen V.
PY - 2008/9/15
Y1 - 2008/9/15
N2 - Due to multi-path fading and co-channel interference, wireless links are lossy in nature. As a result, the data rate of a given flow becomes "thinner and thinner" along its routing path, and the data rate received successfully at the destination node (the effective rate) is typically lower than the transmission rate at the source node (the injection rate). In light of this observation, each flow is treated as a "leaky-pipe" model in this study. Moreover, we introduce the notion of "effective utility" associated with the effective rate (not the injection rate) for each flow, and explore rate control mechanisms through effective network utility maximization (ENUM). We focus on two network models: 1) ENUM with link outage constraints with a maximum error rate at each link; 2) ENUM with path outage constraints where there exists an end-to-end outage requirement for each flow. For both problems, we explicitly take into account the "thinning" feature of data flows and devise distributed hop-by-hop rate control algorithms accordingly. Our numerical examples corroborate that higher effective network utility and better fairness among effective flow rates can be achieved by the ENUM algorithms than the standard NUM.
AB - Due to multi-path fading and co-channel interference, wireless links are lossy in nature. As a result, the data rate of a given flow becomes "thinner and thinner" along its routing path, and the data rate received successfully at the destination node (the effective rate) is typically lower than the transmission rate at the source node (the injection rate). In light of this observation, each flow is treated as a "leaky-pipe" model in this study. Moreover, we introduce the notion of "effective utility" associated with the effective rate (not the injection rate) for each flow, and explore rate control mechanisms through effective network utility maximization (ENUM). We focus on two network models: 1) ENUM with link outage constraints with a maximum error rate at each link; 2) ENUM with path outage constraints where there exists an end-to-end outage requirement for each flow. For both problems, we explicitly take into account the "thinning" feature of data flows and devise distributed hop-by-hop rate control algorithms accordingly. Our numerical examples corroborate that higher effective network utility and better fairness among effective flow rates can be achieved by the ENUM algorithms than the standard NUM.
UR - http://www.scopus.com/inward/record.url?scp=51349145725&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51349145725&partnerID=8YFLogxK
U2 - 10.1109/INFOCOM.2007.97
DO - 10.1109/INFOCOM.2007.97
M3 - Conference contribution
AN - SCOPUS:51349145725
SN - 9781424420261
T3 - Proceedings - IEEE INFOCOM
SP - 1166
EP - 1174
BT - INFOCOM 2008
Y2 - 13 April 2008 through 18 April 2008
ER -