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[IEEE 2018 9th Advanced Satellite Multimedia Systems Conference and the 15th Signal Processing for Space Communications Workshop (ASMS/SPSC) - Berlin (2018.9.10-2018.9.12)] 2018 9th Advanced Satellite Multimedia Systems Conference and the 15th Signal Processing for Space Communications Workshop (ASMS/SPSC) - Sparsity-Aided Low-Implementation cost based On-Board beamforming Design for High Throughput Satellite Systems
摘要： Soaring demand for high data rate services entails high throughput satellite (HTS) systems with multi-beam architecture, and full frequency and time resources reuse. However, interference among simultaneously served users is the fundamental factor that is needed to be addressed before enacting HTS system with this architecture. Beamforming has been proposed as a potential technique to mitigate the interference in the literature. Different types of beamforming techniques proposed including beamforming at payload (on-board), beamforming at a gateway and hybrid beamforming. On-board beamforming prevails over other techniques due to its advantages—channel information at payload is more recent than gateway and sharing overhead of channel and symbols across multiple gateways is reduced in a multi-gateway architecture to name a few. Despite these advantages, beamforming at the gateway is usually preferred due to the heavy processing cost incurred in beamforming. Beamforming processing cost can be split into two factors: design cost and implementation cost. While design cost accounts for the cost involved in the design of beamformer, implementation cost accounts for multiplications and additions involved in applying calculated beamformer coefficients to data symbols. Through our study, we noticed that the major contributing factor to processing cost is the implementation cost which accumulates for every data symbol rather than design cost which is incurred only once per channel coherence time which usually relatively longer than many data symbols. Furthermore, the implementation cost is dominated by the multiplications involved. Hence, in this work, we address the issue of implementation cost from the perspective of on-board multiplications. We formulate the problem of minimizing on-board implementation cost (multiplications) of a beamformer as a second-order cone programming problem with the help of (cid:96)1 norm constraint on the beamforming matrix subjected to a minimum signal-to-interference-noise ratio of simultaneously served users and classical total power constraint. We show the efficacy of our algorithm over the traditional power minimization method through Monte-Carlo simulations.
关键词： second-order cone programming,High throughout satellite systems,beamforming,interference
更新于2025-09-23 15:22:29
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ROBUST ADAPTIVE WIDEBAND BEAMFORMING USING PROBABILITY-CONSTRAINED OPTIMIZATION
摘要： The existing robust narrowband beamformers based on probability-constrained optimization have an excellent performance as compared to several state-of-the-art robust beamforming algorithms. However, they always assume that the steering vector errors are small enough. Without this assumption, we extend the probability-constrained approach to a wideband beamformer. In addition, a novel robust wideband beamformer with frequency invariance constraints is proposed by introducing the response variation (RV) element. Our problems can be reformulated in a convex form as the iterative second order cone programming (SOCP) problem and solved effectively using well-established interior point method. Compared with existing robust wideband beamformers, a more efficient control over the beamformer’s response against the steering vector errors is achieved with an improved output signal-to-interference-plus-noise ratio (SINR).
关键词： response variation (RV),robust adaptive wideband beamforming,frequency invariance constraints,second order cone programming (SOCP),probability-constrained optimization,signal-to-interference-plus-noise ratio (SINR)
更新于2025-09-23 15:21:21
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[IEEE 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Singapore (2018.5.22-2018.5.25)] 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Optimal Real-Time Scheduling of Energy Storage Systems to Accommodate PV Generation in Distribution Networks
摘要： The increasing penetration of renewables in the distribution networks (DN) can cause severe operation constraint violations, such as voltage violation and branch line overload. To deal with like photovoltaic (PV), a novel real-time scheduling (RTS) approach for energy storage systems (ESSs) in distribution networks is proposed in this paper. The distribution network operators (DNO) dispatch the PV, ESS and the substation together to minimized the weighted cost and ensure the security of system operation. The AC OPF in DN is formulated as a second-order cone programming (SOCP) problem where we can obain the global optimal solution using some off-the-shelf solvers. Case studies on 37-bus system demonstrate the effectiveness of the proposed approach as well as the exactness of the relaxation.
关键词： Active distribution network,photovoltaic,second-order cone programming,energy storage system
更新于2025-09-10 09:29:36