Coding Improves the Optimal Delay-Throughput Trade-offs in Mobile Ad-Hoc Networks: Two-Dimensional IID Mobility Models
<|reference_start|>Coding Improves the Optimal Delay-Throughput Trade-offs in Mobile Ad-Hoc Networks: Two-Dimensional IID Mobility Models: In this paper, we investigate the delay-throughput trade-offs in mobile ad-hoc networks under two-dimensional i.i.d. mobility models. We consider two mobility time-scales: (i) Fast mobility where node mobility is at the same time-scale as data transmissions; (ii) Slow mobility where node mobility is assumed to occur at a much slower time-scale than data transmissions. Given a delay constraint $D,$ the main results are as follows: (1) For the two-dimensional i.i.d. mobility model with fast mobiles, the maximum throughput per source-destination (S-D) pair is shown to be $O(\sqrt{D/n}),$ where $n$ is the number of mobiles. (2) For the two-dimensional i.i.d. mobility model with slow mobiles, the maximum throughput per S-D pair is shown to be $O(\sqrt[3]{D/n}).$ (3) For each case, we propose a joint coding-scheduling algorithm to achieve the optimal delay-throughput trade-offs.<|reference_end|>
@article{ying2006coding,
    title={Coding Improves the Optimal Delay-Throughput Trade-offs in Mobile Ad-Hoc
  Networks: Two-Dimensional I.I.D. Mobility Models},
    author={Lei Ying, Sichao Yang and R. Srikant},
    journal={arXiv preprint arXiv:cs/0611144},
    year={2006},
    archivePrefix={arXiv},
    eprint={cs/0611144},
    primaryClass={cs.NI cs.IT math.IT}
}