Elements of information theory
Elements of information theory
Big Omicron and big Omega and big Theta
ACM SIGACT News
On the relationship between capacity and distance in an underwater acoustic communication channel
ACM SIGMOBILE Mobile Computing and Communications Review
Information-theoretic operating regimes of large wireless networks
IEEE Transactions on Information Theory
The capacity of wireless networks
IEEE Transactions on Information Theory
A network information theory for wireless communication: scaling laws and optimal operation
IEEE Transactions on Information Theory
Upper bounds to transport capacity of wireless networks
IEEE Transactions on Information Theory
The transport capacity of wireless networks over fading channels
IEEE Transactions on Information Theory
Optimal throughput-delay scaling in wireless networks - part I: the fluid model
IEEE Transactions on Information Theory
Closing the Gap in the Capacity of Wireless Networks Via Percolation Theory
IEEE Transactions on Information Theory
Hierarchical Cooperation Achieves Optimal Capacity Scaling in Ad Hoc Networks
IEEE Transactions on Information Theory
Improved Capacity Scaling in Wireless Networks With Infrastructure
IEEE Transactions on Information Theory
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This is the second in a two-part series of papers on information-theoretic capacity scaling laws for an underwater acoustic network. Part II focuses on a dense network scenario, where nodes are deployed in a unit area. By deriving a cut-set upper bound on the capacity scaling, we first show that there exists either a bandwidth or power limitation, or both, according to the operating regimes (i.e., path-loss attenuation regimes), thus yielding the upper bound that follows three fundamentally different information transfer arguments. In addition, an achievability result based on the multi-hop (MH) transmission is presented for dense networks. MH is shown to guarantee the order optimality under certain operating regimes. More specifically, it turns out that scaling the carrier frequency faster than or as $$n^{1/4}$$ is instrumental towards achieving the order optimality of the MH protocol.