Throughput optimal scheduling over time-varying channels in the presence of heavy-tailed traffic

We study the problem of scheduling over time-varying links in a network that serves both heavytailed and light-tailed traffic. We consider a system consisting of two parallel queues, served by a single server. One of the queues receives heavy-tailed traffic (the “heavy queue”), and the other receives lighttailed traffic (the “light queue”). The queues are connected to the server through time-varying ON/OFF links, which model fading wireless channels. We first show that the policy that gives complete priority to the light-tailed traffic guarantees the best possible tail behavior of both queue backlog distributions, whenever the queues are stable. However, the priority policy is not throughput maximizing, and can cause undesirable instability effects in the heavy queue. Next, we study the class of throughput optimal max-weight scheduling policies. We discover a threshold phenomenon, and show that the steady-state light queue backlog distribution is heavy-tailed for arrival rates above a threshold value, and light-tailed otherwise. We also obtain the exact ‘tail coefficient’ of the light queue backlog distribution under maxweight scheduling. Finally, we analyze a log-max-weight (LMW) scheduling policy, and show that in addition to being throughput optimal, the LMW policy ensures that the light queue backlog distribution is light-tailed