Exact Assessment of the Delay-Rate Tradeoff in Ergodic Interference Alignment

Zorzi, Michele; Khamesi, Atieh R.; Lahouti, Farshad

doi:10.1109/lcomm.2018.2810867

Cited by 2 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Blind IA is a method that majority of the IA results are based on the assumption of perfect, and occasionally, global channel state information (CSI). In ergodic IA the CSI is partitioned into complimentary pairings for a wide class of channel distributions over which the interference can be aligned so that individual users are able to achieve marginally over half of its interference-free ergodic capacity at any SNR [25]. Retrospective IA techniques refer to the IA schemes that make use of delayed CSI knowledge at the transmitter.…”

Section: General Ia Techniquesmentioning

confidence: 99%

“…Asymptotic IA is an opportunistic technique that exploits the presence of complementary channel states in equal magnitudes to achieve linear IA [28]. [33][34][35][36] Distributed IA Local Single [37][38][39][40] Subspace IA Perfect Multi [29,[41][42][43] Blind IA Absent Single [25,44,45] Ergodic IA Perfect/delayed Single [36,46,47] Retrospective IA Delayed Single [26,39,43] Lattice Alignment Perfect Single [40,[48][49][50][51] IA and Cancelation Perfect Single/Multi [27,52,53] Opportunistic IA Perfect Single/Multi [28,54,55] Asymptotic IA Perfect Single…”

Section: General Ia Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

Interference Alignment for Cognitive Radio Communications and Networks: A Survey

Abdulkadir

Simpson

Sun

2019

JSAN

View full text Add to dashboard Cite

Interference alignment (IA) is an innovative wireless transmission strategy that has shown to be a promising technique for achieving optimal capacity scaling of a multiuser interference channel at asymptotically high-signal-to-noise ratio (SNR). Transmitters exploit the availability of multiple signaling dimensions in order to align their mutual interference at the receivers. Most of the research has focused on developing algorithms for determining alignment solutions as well as proving interference alignment’s theoretical ability to achieve the maximum degrees of freedom in a wireless network. Cognitive radio, on the other hand, is a technique used to improve the utilization of the radio spectrum by opportunistically sensing and accessing unused licensed frequency spectrum, without causing harmful interference to the licensed users. With the increased deployment of wireless services, the possibility of detecting unused frequency spectrum becomes diminished. Thus, the concept of introducing interference alignment in cognitive radio has become a very attractive proposition. This paper provides a survey of the implementation of IA in cognitive radio under the main research paradigms, along with a summary and analysis of results under each system model.

show abstract

Section: General Ia Techniquesmentioning

confidence: 99%