A5074479099- Advanced Wireless Communication Technologies
- IoT and Edge/Fog Computing
- Millimeter-Wave Propagation and Modeling
- UAV Applications and Optimization
- IoT Networks and Protocols
- Advanced MIMO Systems Optimization
- Indoor and Outdoor Localization Technologies
- Optical Wireless Communication Technologies
- Satellite Communication Systems
- Cooperative Communication and Network Coding
Nanjing University of Aeronautics and Astronautics
2020-2022
Zhejiang University of Technology
2019
Driven by the explosive growth in computation-intensive applications future 5G networks and industries, mobile edge computing (MEC), which enables smart terminals (STs) to offload their computation workloads nearby servers (ESs) radio access networks, has attracted increasing attention. In this article, we investigate energy-efficient multitask multiaccess MEC via nonorthogonal multiple (NOMA). Exploiting NOMA, an ST with tasks can respective of different ESs simultaneously. To study...
This paper investigates an intelligent reflecting surface (IRS) assisted simultaneous wireless information and power transfer (SWIPT) system. Multiple IRSs deployed on unmanned aerial vehicles (UAVs) ground building are considered in the proposed system for enhancing transmission of energy simultaneously. The optimization problem is formulated to maximize average achievable rate over <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> time...
In this paper, we present the computation-efficient resource allocation (RA) schemes for millimeter-wave mobile edge computing (mmWave-MEC) system with aid of reconfigurable intelligent surface (RIS), which is used to assist uplink communication from users base station (BS). By means theoretical analysis, achievable rate and computation efficiency (CE) are derived. Then, optimization problem CE maximization under constraints minimum rate, maximum power consumption local CPU frequency...
In this paper, the millimeter-wave (mmWave) communications and non-orthogonal multiple access (NOMA) are exploited for mobile edge computing (MEC) networks to improve performance of task offloading. Aiming at improving computation efficiency (CE) ensuring fairness among users, we study CE optimization mmWave-MEC with NOMA, where both analog beamforming (ABF) hybrid (HBF) architectures under partial offloading mode considered. First, according max-min criterion, problem is formulated jointly...
Abstract In this paper, we develop task offloading and resource allocation scheme for unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system with channel estimation errors over Rician fading channels. The objective is to maximize the utility constrained network stability, transmit power, data arrival rate. We consider a general multi-user UAV-assisted MEC based on frequency division multiple access (FDMA), assume that computation tasks are split into separate offloaded...
In this article, by introducing nonorthogonal multiple access (NOMA) scheme into the massive spatial modulation (SM) MIMO in cooperative relay networks, a NOMA-aided SM (NOMA-SM) system is presented. The ergodic rate performance of uplink NOMA-SM with finite alphabet inputs investigated over Rayleigh fading channels. According to analysis, mutual information between signals transmitted users and signal received at base station (BS) derived. Based on this, theoretical lower bound tight...
Abstract In this paper, we study the issue of fair resource optimization for an unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) system with multi-carrier non-orthogonal multiple access (MC-NOMA). A computation efficiency (CE) problem based on max-min fairness principle under partial offloading mode is formulated by optimizing subchannel assignment, local CPU frequency, and transmission power jointly. The belongs to non-convex mixed integer nonlinear programming (MINLP),...
With the assistance of non-orthogonal multiple access (NOMA), spectrum efficiency and number users in cloud radio network (CRAN) can be greatly improved.In this paper, system performance NOMA-assisted CRAN is investigated.Specially, outage probability (OP) ergodic sum rate (ESR), are derived for evaluation system, respectively.Based on this, by minimizing OP a suboptimal power allocation (PA) scheme with closed-form PA coefficients proposed.Numerical simulations validate accuracy theoretical...