Mobility increases the capacity of ad hoc wireless networks
IEEE/ACM Transactions on Networking (TON)
Probability and Computing: Randomized Algorithms and Probabilistic Analysis
Probability and Computing: Randomized Algorithms and Probabilistic Analysis
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
On outer bounds to the capacity region of wireless networks
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Degenerate delay-capacity tradeoffs in ad-hoc networks with Brownian mobility
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Delay and capacity trade-offs in mobile ad hoc networks: a global perspective
IEEE/ACM Transactions on Networking (TON)
Scaling laws of single-hop cognitive networks
IEEE Transactions on Wireless Communications
Cognitive networks achieve throughput scaling of a homogeneous network
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
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
A deterministic approach to throughput scaling in wireless networks
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
Capacity and delay tradeoffs for ad hoc mobile networks
IEEE Transactions on Information Theory
Even One-Dimensional Mobility Increases the Capacity of Wireless Networks
IEEE Transactions on Information Theory
Optimal throughput-delay scaling in wireless networks - part I: the fluid model
IEEE Transactions on Information Theory
Optimal Throughput–Delay Scaling in Wireless Networks—Part II: Constant-Size Packets
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
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Spectrum sharing between cellular and mobile ad hoc networks: transmission-capacity trade-off
IEEE Journal on Selected Areas in Communications - Special issue on stochastic geometry and random graphs for the analysis and designof wireless networks
A simple upper bound on random access transport capacity
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Random access transport capacity
IEEE Transactions on Wireless Communications
Dual band connectivity of cognitive radio networks
Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
Throughput and delay scaling laws for mobile overlaid wireless networks
Journal of Network and Computer Applications
Capacity scaling of general cognitive networks
IEEE/ACM Transactions on Networking (TON)
Practical unicast and convergecast scheduling schemes for cognitive radio networks
Journal of Combinatorial Optimization
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We study the scaling laws for the throughputs and delays of two coexisting wireless networks that operate in the same geographic region. The primary network consists of Poisson distributed legacy users of density n, and the secondary network consists of Poisson distributed cognitive users of density m, with m n. The primary users have a higher priority to access the spectrum without particular considerations for the secondary users, while the secondary users have to act conservatively in order to limit the interference to the primary users. With a practical assumption that the secondary users only know the locations of the primary transmitters (not the primary receivers), we first show that both networks can achieve the same throughput scaling law as what Gupta and Kumar (IEEE Trans. Inf. Theory, vol. 46, no. 2, pp. 388-404, Mar. 2000) established for a standalone wireless network if proper transmission schemes are deployed, where a certain throughput is achievable for each individual secondary user (i.e., zero outage) with high probability. By using a fluid model, we also show that both networks can achieve the same delay-throughput tradeoff as the optimal one established by El Gamal et al. (IEEE Trans. Inf. Theory, vol. 52, no. 6, pp. 2568-2592, Jun. 2006) for a standalone wireless network.