On Capacity Under Receive and Spatial Spectrum-Sharing Constraints

By Michael C. Gastpar. IEEE Transactions on Information Theory, 2007

453 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/848fefac32d402c099da451b618ac53c3688bc7a

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Cognitive radio networks (2008, unknown): “Interference analysis has been studied by a number of authors (see, for example, [7], [8], and [36]).”
A Survey on Security Threats and Detection Techniques in Cognitive Radio Networks (2013, background): “The overlay approach can increase the capacity of the secondary network, but it can also cause interference to the primary network [118].”
Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective (2009, background): “Even for the smallest interference network consisting of two transmitter-receiver pairs, this problem has remained unsolved for more than thirty years, emphasizing that one of the fundamental problems in networks - coping with and exploiting interference - is not yet entirely understood.”
Joint Beamforming and Power Allocation for Multiple Access Channels in Cognitive Radio Networks (2008, background): “For instance, the channel capacity of SUs has been studied in [5] under receive interference power constraint.”
Transporting information and energy simultaneously (2008, background): “One previous study has looked at maximum received power constraints [13].”
Energy Harvesting Wireless Communications: A Review of Recent Advances (2015, background): “work, [91] studied a related problem, where capacity with receiver-side power constraints were considered.”
Shannon meets Tesla: Wireless information and power transfer (2010, background): “A related problem was considered by Gastpar [ 8 ], where received power constraints are imposed on devices so that the interference they cause is limited.”
Cognitive radio networking and communications: an overview (2011, unknown): “[64].”
On Ergodic Sum Capacity of Fading Cognitive Multiple-Access and Broadcast Channels (2008, methodology): “In [6], [14], both opt imal and suboptimal spatial adaptation schemes are presented for the secondary transmitter equipp d with multiple antennas to maximize the point-to-point secondary user channel capacity under a set of in erference-power constraints at multiple primary receivers.”
Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity (2008, background): “Specifically, SU channel capacity under spectrum sharing wa s addressed by Gastpar in [9], where the capacities of different additive white Gaussian noise (AWG N) channels are derived under a received power constraint.”
Uncoded transmission is exactly optimal for a simple Gaussian "sensor" network (2007, background): “Specifically, the following theorem is proved in [11].”
Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks (2007, background): “Since only the interference-power constraint is considered in [4], it req uires that there exist multiple primary receivers/antenna s such that the channel matrix from the secondary transmitter to the primary receivers/antennas is invertible, and by doing so, an upper-bound of the secondary user’s M”