نتایج جستجو برای: successive convex approximation sca
تعداد نتایج: 282150 فیلتر نتایج به سال:
In this paper, an intelligent reflecting surface (IRS)-aided two-way decode-and-forward (DF) relay wireless network is considered, where two users exchange information via IRS and DF relay. To enhance the sum rate performance, three power allocation (PA) strategies are proposed. Firstly, a maximizing method based on successive convex approximation (Max-SR-SCA) proposed to jointly optimize PA fa...
This article studies the freshness of information with aid Age Information (AoI) in Industrial Internet Things (IIoT), which plays a vital role to ensure quality and timely delivery data services. To reduce AoI, we leverage mobile-edge computing (MEC) partially offload mobile edge server. Aiming cope packet error setting short communication (SPC) IIoT, consider standard automatic repeat request...
This paper studies the coordinated beamforming (CoBF) design for the multiple-input single-output interference channel, provided that only channel distribution information is known to the transmitters. The problem under consideration is a probabilistically constrained optimization problem which maximizes a predefined system utility subject to constraints on rate outage probability and power bud...
Several gaps and errors in “Precoding Artificial Noise Design for Cognitive MIMOME Wiretap Channels” by Fang et al. are identified corrected. While accommodating these corrections, a rigours proof is given that the successive convex approximation algorithm of secrecy rate maximization (SRM) does generate an increasing bounded sequence true rates hence converges. It further shown its convergence...
The ever-growing popularity and rapid development of artificial intelligence (AI) have raised rethinking on the evolution wireless networks. Mobile edge computing (MEC) provides a natural platform for AI applications since has rich computation resources to train machine learning (ML) models, as well low-latency access data generated by mobile Internet things (IoT) devices. In this article, we p...
Cellular-connected unmanned aerial vehicle (UAV) has attracted a surge of research interest in both academia and industry. To support user equipment (UEs) the existing cellular networks, one promising approach is to assign portion system bandwidth exclusively UAV-UEs. This especially favorable for use cases where large number UAV-UEs are exploited, e.g., package delivery close warehouse. Althou...
In this paper, we investigate a multiuser distributed antenna system with simultaneous wireless information and power transmission under the assumption of imperfect channel state information (CSI). In this system, a distributed antenna port with multiple antennas supports a set of mobile stations who can decode information and harvest energy simultaneously via a power splitter. To design robust...
Unmanned Aerial Vehicles (UAVs) have been recently considered as means to provide enhanced coverage or relaying services to mobile users (MUs) in wireless systems with limited or no infrastructure. In this paper, a UAV-based mobile cloud computing system is studied in which a moving UAV is endowed with computing capabilities to offer computation offloading opportunities to MUs with limited loca...
Convex relaxations of the power flow equations and, in particular, the Semi-Definite Programming (SDP) and SecondOrder Cone (SOC) relaxations, have attracted significant interest in recent years. The Quadratic Convex (QC) relaxation is a departure from these relaxations in the sense that it imposes constraints to preserve stronger links between the voltage variables through convex envelopes of ...
We consider three wireless multi-group (MG) multicasting (MC) systems capable of handling heterogeneous user types viz., information decoding (ID) specific users with conventional receiver architectures, energy harvesting (EH) only non-linear EH module, and joint ID capabilities having separate units for the two operations, respectively. Each is categorized under unique group(s), which can be M...
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