Towards an information theory of large networks: an achievable rate region

By Piyush Kumar Gupta, P. Arun Raj Kumar. Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252), 2001

489 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/00e65df0c965085f3756392a04b6594d0c9cd8ef

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Citations in the corpus

Capacity scaling laws in MIMO relay networks (2006, methodology): “Results of the Gupta-Kumar [20], [22] and Gastpar-Vetterli [21] type have recently been reported for single antenna fading channels in [23], for the case of node mobility and large-scale fading in [24], for extended AWGN networks in [25], [26], and for multihop routing in [27].”
Cooperative diversity in wireless networks: Efficient protocols and outage behavior (2004, methodology): “Various extensions to the case of multiple relays have appeared in the work of Schein and Gallager [18], [19], Gupta and Kumar [ 20 ], [21], Gastpar et al. [22]‐[24], and Reznik et al. [25].”
A network information theory for wireless communication: scaling laws and optimal operation (2004, background): “More importantly, we will also see that this new coding scheme is easier to extend to the multilevel relay case and generally achieves higher rates than those proved in [ 26 ].”
Distributed space-time coded protocols for exploiting cooperative diversity in wireless networks (2002, unknown): “There is a growing body of work focused on network coding for enhancing performance of wireless and other communication networks [ 5 ], [6], [7].”
On the capacity of wireless networks: the relay case (2002, background): “Moreover, while this leads to achievable rates, it has not been established in [7] that this approach yields capacity eventually.”
Opportunistic large arrays: cooperative transmission in wireless multihop ad hoc networks to reach far distances (2003, methodology): “However, the analysis carried out by the papers on cooperative communications are mostly limited to the case of one relay, with few exceptions [ 9 ], [10], whereas the present work provides a mechanism for readily scaling the system to a large number of relays.”
Cooperative strategies and capacity theorems for relay networks (2005, methodology): “Remark 9: We have expressed Theorem 1 using only permutations rather than the level sets of [ 31 ]‐[33].”
Design challenges for energy-constrained ad hoc wireless networks (2002, background): “Other recent work in this area has determined achievable rate regions for ad hoc wireless networks using adaptive transmission strategies [4] and an information theoretic analysis on achievable rates between nodes [ 112 ].”
Practical relay networks: a generalization of hybrid-ARQ (2005, background): “Digital Object Identifier 10.1109/JSAC.2004.837352 broadcasts to several receivers [ 5 ].”
Delay and Capacity Trade-Offs in Mobile Ad Hoc Networks: A Global Perspective (2006, background): “…Mazumdar, Fellow, IEEE, and Ness B. Shroff, Fellow, IEEE Abstract Since the original work of Grossglauser and Tse, which showed that mobility can increase the capacity of an ad hoc network, there has been a lot of interest in characterizing the delay capacity relationship in ad hoc networks.”
Great expectations: the value of spatial diversity in wireless networks (2004, background): “been characterized, there is some recent understanding in the context of wireless networks, asymptotically in the network size [130, 115, 285].”
Capacity bounds for Cooperative diversity (2006, background): “Since the nodes can cooperate by relaying each other’s messages, cooperative diversity is also related to the relay channel (a few references are [8, 22, 27, 14, 15]).”
Multiple-Antenna Cooperative Wireless Systems: A Diversity–Multiplexing Tradeoff Perspective (2007, result): “This assumption is the same as the level set approach of [11].”
Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective (2009, methodology): “This model differs from the ad hoc network model of [108] in that only single-hop communication between the cognitive transmitters and receivers is considered.”