[PDF] Top 20 Optimization Algorithms in Wireless and Quantum Communications
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Optimization Algorithms in Wireless and Quantum Communications
... faster algorithms by pruning the search tree beyond what is done in the standard sphere decoding ...of algorithms, one of which is appropriate for large problem dimensions and binary modulation, and the ... See full document
190
Distributed optimization algorithms for multihop wireless networks
... distributed algorithms and network optimization lit- erature, one cannot avoid but notice the significant gap between the the- oretician and practitioner sides of the research ...in wireless networks ... See full document
168
A Quantum MIMO Architecture for Antenna Wireless Digital Communications
... in wireless communications, rather than the “wired” optical-fiber links that appear to have dominated research in optical quantum communications so ...of quantum MIMO systems ... See full document
14
Advanced optimization algorithms for sensor arrays and multi-antenna communications
... The algorithms used in the space-time processor need to be smart and adaptive [105] in order to deal with time and space varying ...In wireless receivers, optimization techniques are commonly ... See full document
115
THE POPULARITY of wireless communications systems. Designing a Self-Optimization System for Cognitive Wireless Home Networks
... tive wireless networking and agent-based design ...on wireless home networks (WHNs), state the related design objectives and con- straints, and address those in the context of present-day and emerging radio ... See full document
19
Algorithms for the Optimization of Quantum Circuits
... synthesis algorithms work by exhaustively enumerating all circuits and returning the lowest cost circuit implementing the desired computation; this technique is commonly called exhaustive or brute-force ...search ... See full document
102
Applying Quantum Optimization Algorithms for Linear Programming
... Abstract: Quantum computers are machines that are designed to use quantum mechanics in order to improve upon classical computers by running quantum ...of quantum computing is solving ... See full document
6
Quantum Algorithms for Scientific Computing and Approximate Optimization
... of quantum algorithms and heuristics for approximate opti- mization beyond quantum annealing has been possible through classical simulation, the exponential overhead in such simulations has greatly ... See full document
264
Quantum algorithms and lower bounds for convex optimization
... We thank Yin Tat Lee for numerous helpful discussions and anonymous reviewers for sugges- tions on preliminary versions of this paper. We also thank Joran van Apeldoorn, Andr´ as Gily´ en, Sander Gribling, and Ronald de ... See full document
44
Spectrum Monitoring Algorithms for Wireless and Satellite Communications
... developed algorithms have been evaluated using powerful simulations exten- sively, the objective of this chapter is to go one step further and evaluate the performance of the developed algorithms ... See full document
158
Optimizing quantum optimization algorithms via faster quantum gradient computation
... variational quantum eigensolvers and QAOA [ 39 , 47 , 19 ] are favored methods for providing low-depth quantum algorithms for solving important problems in quantum simulation and ...solve ... See full document
20
Tree Based Distributed Multicast Algorithms for Directional Communications and Lifetime Optimization in Wireless Ad Hoc Networks
... 14], we only consider static networks because mobility adds a whole new dimension to the problem and it is out of the scope of this paper. Unlike the previous work, we would like to design the distributed ... See full document
10
Throughput Optimization in Cooperative Communications using Evolutionary Algorithms
... basic optimization flow using BBO and PSO algorithm is as follows: Firstly, the performances of decision fusion rules such as OR and Half-Voting are compared in terms of their P d Vs P f ...the optimization ... See full document
9
Optimization of Wireless Resources for Personal Communications Mobility Tracking *
... personal communications applications, users communicate via wireless with a wireline net- ...of wireless resources as well, includ- ing the power consumption of the portable units carried by the ... See full document
18
NOVEL ALGORITHMS FOR DESIGN OPTIMIZATION OF WIRELESS SENSOR NETWORKS
... The wireless sensor node, being a microelectronic device, can only be equipped with a limited power source (<0.5 Ah, 1.2 V). In some application scenarios, replenishment of power resources might be impossible. ... See full document
85
Physical Layer Algorithms for Reliability and Spectral Efficiency in Wireless Communications
... As a matter of fact, the number of users and the diversity in user requirements, e.g., de- manded services, channel conditions, used applications, types of mobile devices etc., are going to keep increasing with the lapse ... See full document
133
Quantum Computing and Quantum Algorithms
... A quantum-dot-based quantum computer uses spins [14] or energy levels [15] of electrons confined in quantum dots (QDs) as qubits that are fabricated in semiconductor ...a quantum computer. ... See full document
6
Quantum Computing and Quantum Algorithms
... of quantum computing is matrix ...that quantum computing could provide an exponential speedup when it comes to matrix inversion of large matrices (Preskill, ...of quantum computing in the area of ... See full document
29
Quantum search algorithms, quantum wireless, and a low-complexity maximum likelihood iterative quantum multi-user detector design
... radio communications totaling in excess of 10 000 pages, published 1300+ research entries, acted both as TPC and General Chair of IEEE conferences, presented keynote lec- tures and has been awarded a number of ... See full document
29
Energy optimization in wireless sensor networks based on genetic algorithms
... WSN are composed of many sensor nodes known as source nodes wh ich ga ther da ta from env ironmen t us ing a sens ing modu le and commun ica te w i th o ther nodes through w ire less[r] ... See full document
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