On Capacity Scaling of Underwater Networks: An Information-Theoretic Perspective

Details On Capacity Scaling of Underwater Networks: An Information-Theoretic Perspective On Capacity Scaling of Underwater Networks: An Information-Theoretic Perspective

2010-05-05

arxiv.org/abs/1005.0855v2

Computer Science

Information Theory

16 pages, 4 figures, Submitted to IEEE Transactions on Information Theory

Scientific paper

Capacity scaling laws are analyzed in an underwater acoustic network with $n$ regularly located nodes on a square. A narrow-band model is assumed where the carrier frequency is allowed to scale as a function of $n$. In the network, we characterize an attenuation parameter that depends on the frequency scaling as well as the transmission distance. A cut-set upper bound on the throughput scaling is then derived in extended networks. Our result indicates that the upper bound is inversely proportional to the attenuation parameter, thus resulting in a highly power-limited network. Interestingly, it is seen that unlike the case of wireless radio networks, our upper bound is intrinsically related to the attenuation parameter but not the spreading factor. Furthermore, we describe an achievable scheme based on the simple nearest neighbor multi-hop (MH) transmission. It is shown under extended networks that the MH scheme is order-optimal as the attenuation parameter scales exponentially with $\sqrt{n}$ (or faster). Finally, these scaling results are extended to a random network realization.

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