Capacity of Ad Hoc wireless networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Mobility increases the capacity of ad hoc wireless networks
IEEE/ACM Transactions on Networking (TON)
Broadcast capacity in multihop wireless networks
Proceedings of the 12th annual international conference on Mobile computing and networking
Multicast capacity for large scale wireless ad hoc networks
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Capacity scaling in delay tolerant networks with heterogeneous mobile nodes
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
Capacity of multi-channel wireless networks with random (c, f) assignment
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
Capacity of a wireless ad hoc network with infrastructure
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
The multicast capacity of large multihop wireless networks
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
Bounds for the capacity of wireless multihop networks imposed by topology and demand
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
Multicast capacity for hybrid wireless networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Capacity of large scale wireless networks under Gaussian channel model
Proceedings of the 14th ACM international conference on Mobile computing and networking
Multicast capacity of wireless ad hoc networks
IEEE/ACM Transactions on Networking (TON)
The capacity of wireless networks
IEEE Transactions on Information Theory
Capacity scaling in MIMO wireless systems under correlated fading
IEEE Transactions on Information Theory
A network information theory for wireless communication: scaling laws and optimal operation
IEEE Transactions on Information Theory
A deterministic approach to throughput scaling in wireless networks
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
Multicast capacity-delay tradeoff with network coding in MANETs
WASA'11 Proceedings of the 6th international conference on Wireless algorithms, systems, and applications
Delay and capacity tradeoff analysis for motioncast
IEEE/ACM Transactions on Networking (TON)
Multicast performance with hierarchical cooperation
IEEE/ACM Transactions on Networking (TON)
Capacity scaling of general cognitive networks
IEEE/ACM Transactions on Networking (TON)
Cell-based snapshot and continuous data collection in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Delay and capacity in MANETs under random walk mobility model
Wireless Networks
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We study the multicast capacity of large-scale random extended multihop wireless networks, where a number of wireless nodes are randomly located in a square region with side length a = √n, by use of Poisson distribution with density 1. All nodes transmit at a constant power P, and the power decays with attenuation exponent α 2. The data rate of a transmission is determined by the SINR as B log(1 + SINR), where B is the bandwidth. There are ns randomly and independently chosen multicast sessions. Each multicast session has k randomly chosen terminals. We show that when k ≤ θ1 n/(log n)2α+6 and ns ≥ θ2n1/2+β, the capacity that each multicast session can achieve, with high probability, is at least c8 √n/ns√k, where θ1, θ2, and c8 are some special constants and β O is any positive real number. We also show that for k = O(n/log2n), the per-flow multicast capacity under Gaussian channel is at most O(√n/ns√k) when we have at least ns = Ω(log n) random multicast flows. Our result generalizes the unicast capacity for random networks using percolation theory.