Abstract — Capacity-constrained routing, i.e. the ability to find paths that offer available bandwidth above a required limit, in wireless ad hoc networks requires a way to measure link capacity (available bandwidth). Because of the open and shared nature of the radio medium, the capacity of a link

interval of T symbol periods, after which they change to new independent values which they maintain for another T symbol periods, and so on. Computing the link capacity, associated with channel coding over multiple fading intervals, requires an optimization over the joint density of T M complex transmitted

Abstract Capacity of a link is a key metric for network d esig n and manag ement. S ev eral tools for capacity measu rement are present in th e literatu re and th ey prov id e satisfying resu lts wh en u sed ov er wired networks. T h eir performance ov er wireless links, h owev er, is not as g ood

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Abstract. Knowledge of link capacity is important for network design, management, and utilization. With the increasing popularity of asymmetric link technologies (such as DSL, 1xRTT, and satellite links), it is desirable to have a capacity estimation technique, which can simultaneously measure

We take a new look at the issue of network capacity. It is shown that network coding is an essential ingredient in achieving the capacity of a network. Building on recent work by Li et al., who examined the network capacity of multicast networks, we extend the network coding framework to arbitrary

statistics. In this paper we show the significant effect of input power spectrum on link capacity allocation in a finite-buffer system to achieve a desired performance criterion. The study also explores a fundamental limit of buffer sizing to improve link capacity when traffic contains significant low

communication links. We explore the important case when the channel characteristic is not available at the transmitter but the receiver knows (tracks) the characteristic which is subject to Rayleigh fading. Fixing the overall transmitted power, we express the capacity offered by MEA technology and we see how

State of the art, real-time, rate-adaptive, multimedia applications adjust their transmission rate to match the available network capacity. Unfortunately, this source-based rate-adaptation performs poorly in a heterogeneous multicast environment because there is no single target rate

Knowledge of link capacity is important for network design, management, and utilization. With the increasing popularity of asymmetric link technologies (such as DSL, 1xRTT, and satellite links), it is desirable to have a capacity estimation technique, which can simultaneously measure forward