Elements of information theory
Elements of 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
Information-theoretic upper bounds on the capacity of large extended ad hoc wireless networks
IEEE Transactions on Information Theory
An Overview of Scaling Laws in Ad Hoc and Cognitive Radio Networks
Wireless Personal Communications: An International Journal
Achievable rates and scaling laws for cognitive radio channels
EURASIP Journal on Wireless Communications and Networking - Cognitive Radio and Dynamic Spectrum Sharing Systems
Scaling laws of single-hop cognitive networks
IEEE Transactions on Wireless Communications
The capacity of wireless networks: information-theoretic and physical limits
IEEE Transactions on Information Theory
Hierarchical cooperation in ad hoc networks: optimal clustering and achievable throughput
IEEE Transactions on Information Theory
On capacity scaling in arbitrary wireless networks
IEEE Transactions on Information Theory
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
Impact of traffic localization on communication rates in ad-hoc networks
Wireless Networks
Capacity of wireless networks with heterogeneous traffic
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Information-theoretic operating regimes of large wireless networks
IEEE Transactions on Information Theory
The balanced unicast and multicast capacity regions of large wireless networks
IEEE Transactions on Information Theory
The capacity of ad hoc networks with heterogeneous traffic using cooperation
INFOCOM'10 Proceedings of the 29th conference on Information communications
Capacity of wireless networks with heterogeneous traffic under physical model
Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff
Throughput scaling of wireless networks with random connections
IEEE Transactions on Information Theory
Improved asymptotic multicast throughput for random extended networks
Computer Communications
Scaling laws for overlaid wireless networks: a cognitive radio network versus a primary network
IEEE/ACM Transactions on Networking (TON)
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Wireless networks with a minimum inter-node separation distance are studied where the signal attenuation grows in magnitude as 1/ρδ with distance ρ. Two performance measures of wireless networks are analyzed. The transport capacity is the supremum of the total distance-rate products that can be supported by the network. The energy cost of information transport is the infimum of the ratio of the transmission energies used by all the nodes to the number of bit-meters of information thereby transported.If the phases of the attenuations between node pairs are uniformly and independently distributed, it is shown that the expected transport capacity is upper-bounded by a multiple of the total of the transmission powers of all the nodes, whenever δ 2 for two-dimensional networks or δ 5/4 for one-dimensional networks, even if all the nodes have full knowledge of all the phases, i.e., full channel state information. If all nodes have an individual power constraint, the expected transport capacity grows at most linearly in the number of nodes due to the linear growth of the total power. This establishes the best case order of expected transport capacity for these ranges of path-loss exponents since linear scaling is also feasible.If the phases of the attenuations are arbitrary, it is shown that the transport capacity is upper-bounded by a multiple of the total transmission power whenever δ 5/2 for two-dimensional networks or δ 3/2 for one-dimensional networks, even if all the nodes have full channel state information. This shows that there is indeed a positive energy cost which is no less than the reciprocal of the above multiplicative constant. It narrows the transition regime where the behavior is still open, since it is known that when δ