Low-sample performance of reduced-rank power minimization based jammer suppression for GPS

Abstract Compactifications of the heterotic string on special Td/ℤ2 orbifolds realize a landscape of string models with 16 supercharges and a gauge group on the left-moving sector of reduced rank d + 8. The momenta of untwisted and twisted states span a lattice known as the Mikhailov lattice II(d), which is not self-dual for d > 1. By using computer algorithms which exploit the properties of lattice embeddings, we perform a systematic exploration of the moduli space for d ≤ 2, and give a list of maximally enhanced points where the U(1)d+8 enhances to a rank d + 8 non-Abelian gauge group. For d = 1, these groups are simply-laced and simply-connected, and in fact can be obtained from the Dynkin diagram of E10. For d = 2 there are also symplectic and doubly-connected groups. For the latter we find the precise form of their fundamental groups from embeddings of lattices into the dual of II(2). Our results easily generalize to d > 2.

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Blood Lipids-Related Dietary Patterns Derived from Reduced Rank Regression Are Associated with Incident Type 2 Diabetes

Clinical Nutrition ◽

10.1016/j.clnu.2021.04.046 ◽

2021 ◽

Author(s):

Ming-Jie Duan ◽

Louise H. Dekker ◽

Juan-Jesus Carrero ◽

Gerjan J. Navis

Keyword(s):

Type 2 Diabetes ◽

Dietary Patterns ◽

Blood Lipids ◽

Reduced Rank Regression ◽

Rank Regression ◽

Incident Type ◽

Reduced Rank ◽

Incident Type 2 Diabetes

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The epsilon-approximation to discrete VT assignment for leakage power minimization

Proceedings of the 2009 International Conference on Computer-Aided Design - ICCAD '09 ◽

10.1145/1687399.1687453 ◽

2009 ◽

Cited By ~ 2

Author(s):

Yujia Feng ◽

Shiyan Hu

Keyword(s):

Leakage Power ◽

Power Minimization

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Optimal Energy Beamforming to Minimize Transmit Power in a Multi-Antenna Wireless Powered Communication Network

Electronics ◽

10.3390/electronics10040509 ◽

2021 ◽

Vol 10 (4) ◽

pp. 509

Author(s):

Iqra Hameed ◽

Pham-Viet Tuan ◽

Mario R. Camana ◽

Insoo Koo

Keyword(s):

Communication Network ◽

Minimization Problem ◽

Time Allocation ◽

Access Point ◽

Power Minimization ◽

Transmit Power ◽

Optimal Energy ◽

Single Antenna ◽

Information Signal ◽

Energy Beamforming

In this paper, we study the transmit power minimization problem with optimal energy beamforming in a multi-antenna wireless powered communication network (WPCN). The considered network consists of one hybrid access point (H-AP) with multiple antennae and multiple users with a single antenna each. The H-AP broadcasts an energy signal on the downlink, using energy beamforming to enhance the efficiency of the transmit energy. In this paper, we jointly optimize the downlink time allocation for wireless energy transfer (WET), the uplink time allocation for each user to send a wireless information signal to the H-AP, the power allocation to each user on the uplink, and the downlink energy beamforming vectors while controlling the transmit power at the H-AP. It is challenging to solve this non-convex complex optimization problem because it is numerically intractable and involves high computational complexity. We exploit a sequential parametric convex approximation (SPCA)-based iterative method, and propose optimal and sub-optimal solutions for the transmit power minimization problem. All the proposed schemes are verified by numerical simulations. Through the simulation results, we present the performance of the proposed schemes based on the effect of the number of transmit antennae and the number of users in the proposed WPCN. Through the performance evaluation, we show that the SPCA-based joint optimization solution performance is superior to other solutions.

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