Broadened-beam Uniform Rectangular Array Coefficient Design in LEO SatComs Under Quality of Service and Constant Modulus Constraints
Satellite communications (SatComs) are anticipated to deliver global Internet access. Low Earth orbit (LEO) satellites (SATs) offer the advantage of higher downlink capacity due to their reduced link budget compared to medium Earth orbit (MEO) and geostationary Earth orbit (GEO) SATs. In this paper, beam broadening methods for uniform rectangular arrays (URAs) in LEO SatComs were studied. The proposed method is the first of its kind to jointly consider path loss variation from SAT to the user terminal (UT) due to the Earth's curvature to guarantee the quality of service (QoS), constant modulus constraints (CMCs) favored for maximizing power amplifier (PA) efficiency, and out-of-beam radiation suppression to avoid interference. A broadened-beam URA coefficient design problem is formulated and decomposed into two uniform linear array (ULA) design subproblems utilizing Kronecker product beamforming. With this decomposition, the number of beamforming coefficients that need to be optimized is significantly reduced compared to the original URA design problem. The non-convex ULA subproblems are addressed using the semidefinite relaxation (SDR) technique and a convex iterative algorithm. Simulation results reveal the advantages of the proposed method for suppressing the out-of-beam radiation and achieving the design criteria. In addition, channel capacity evaluations are carried out. It demonstrates that the proposed "broadened-beam" beamformers can offer capacities that are at least four times greater than those of beamformers employing an array steering vector when the beam transition time is considered. The proposed method holds potential for LEO SAT broadcasting applications, such as digital video broadcasting (DVB).
Code (0)
등록된 구현이 없습니다.
Methods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Phase-Only Beam Broadening of Contiguous Uniform Subarrayed Arrays Utilizing Three Metaheuristic Global Optimization Techniques
Radar beam broadening provides continuous coverage of a wider angular extent. While many methods have been published that address beam broadening of traditional (nonsubarrayed) arrays, there is a knowledge gap in the pub…
global-optimizationMulti-objective Design of Uniform Sparse MIMO Arrays
The problem of multi-objective design of sparse MIMO arrays for better multitarget detection capabilities is considered. A novel approach for efficient utilization of the antenna design resources; namely, the number of a…
Efficient Cell-Specific Beamforming for Large Antenna Arrays
We propose an efficient method for designing broad beams with spatially flat array factor and efficient power utilization for cell-specific coverage in communication systems equipped with large antenna arrays. To ensure …
Power-Efficient Beam Pattern Synthesis via Dual Polarization Beamforming
Beamforming is traditionally associated with coherent summation of signals from antenna elements of the same polarization, here referred to as single polarization beamforming (SPBF). In this paper we focus on a new metho…
Energy-Efficient Design of Broad Beams for Massive MIMO Systems
Massive MIMO is a promising air interface technique for 5G wireless communications. Such antennas offers capabilities to utilize channel correlations to create beams suitable for user specific transmissions. Most of the …
Diversity