Cognitive MIMO radio
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TLDR
Radio regulatory bodies are recognizing that the rigid spectrum assignment granting exclusive use to licensed services is highly inefficient, due to the high variability of the traffic statistics across time, space, and frequency, and this inefficiency is motivating a flurry of research activities in the engineering, economics, and regulation communities in the effort of finding more efficient spectrum management policies.Abstract:
Radio regulatory bodies are recognizing that the rigid spectrum assignment granting exclusive use to licensed services is highly inefficient, due to the high variability of the traffic statistics across time, space, and frequency. Recent Federal Communications Commission (FCC) measurements show that, in fact, the spectrum usage is typically concentrated over certain portions of the spectrum, while a significant amount of the licensed bands (or idle slots in static time division multiple access (TDMA) systems with bursty traffic) remains unused or underutilized for 90% of time [1]. It is not surprising then that this inefficiency is motivating a flurry of research activities in the engineering, economics, and regulation communities in the effort of finding more efficient spectrum management policies.read more
Citations
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Journal ArticleDOI
Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs
Shaoshi Yang,Lajos Hanzo +1 more
TL;DR: In this article, the authors provide a recital on the historic heritages and novel challenges facing massive/large-scale multiple-input multiple-output (LS-MIMO) systems from a detection perspective.
Journal ArticleDOI
Rank-Constrained Separable Semidefinite Programming With Applications to Optimal Beamforming
Yongwei Huang,Daniel P. Palomar +1 more
TL;DR: Conditions under which strong duality holds and efficient algorithms for the optimal beamforming problem are given and rank reduction procedures to achieve a lower rank solution are proposed.
Book
Optimal Resource Allocation in Coordinated Multi-Cell Systems
TL;DR: The use of multiple antennas at base stations is a key component in the design of cellular communication systems that can meet high-capacity demands in the downlink.
Journal ArticleDOI
Convex Optimization, Game Theory, and Variational Inequality Theory
TL;DR: A unified view of some basic theoretical foundations and main techniques in convex optimization, game theory, and VI theory is provided, putting special emphasis on the generality of the VI framework, showing how it allows to tackle several interesting problems in nonlinear analysis, classical optimization, and equilibrium programming.
Journal ArticleDOI
Dynamic Resource Allocation in Cognitive Radio Networks
TL;DR: The state-of-art results on communication resource allocation over space, time, and frequency for emerging cognitive radio (CR) wireless networks are provided and convex optimization plays an essential role in solving these problems, in a both rigorous and efficient way.
References
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Cognitive radio: brain-empowered wireless communications
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