Article
Chemistry, Analytical
SeongJun Hwang, Jiho Seo, Jaehyun Park, Hyungju Kim, Byung Jang Jeong
Summary: This paper proposes a joint MIMO OFDM radar and communication system to achieve high-resolution radar imaging and communication performance optimization. It includes a compressive sensing-based imaging algorithm and subcarrier allocation strategy for maximizing achievable rate without sacrificing radar imaging performance.
Article
Multidisciplinary Sciences
Dong Qin
Summary: This paper presents an adaptive power allocation and subcarrier pairing algorithm for spectrum sharing in decode and forward cognitive radio networks. The algorithm aims to maximize the sum rate of the secondary network while keeping the interference to the primary network below an acceptable level.
Article
Engineering, Electrical & Electronic
Hongwen Ding, Li Li
Summary: This paper investigates joint subcarrier and power allocation in multicarrier nonorthogonal multiple access systems to ensure rate proportional fairness among users. By using convex optimization theory and the Karush-Kuhn-Tucker condition, expressions for the optimal solutions are obtained. An iterative resource allocation algorithm is developed to achieve substantial performance improvement, resulting in 63% and 59% gains in utility and fairness performance, respectively.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Yifeng Jin, Xunan Li, Guocheng Lv, Meihui Zhao, Ye Jin
Summary: This paper investigates a cooperative orthogonal frequency division multiplexing system with multiple untrusted relays. By employing a cooperative user-aided jamming technique and a joint resource allocation algorithm, the secrecy performance of the system is improved.
IET COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Chenguang Shi, Yijie Wang, Fei Wang, Sana Salous, Jianjiang Zhou
Summary: The article discusses the design of a joint subcarrier selection and power allocation scheme to minimize power consumption in a DFRC system capable of performing radar and communication purposes. A three-step solution technique is developed for the joint optimization scheme, combining cyclic minimization algorithm and Karush-Kuhn-Tuckers optimality conditions. Numerical results validate the theoretical findings and verify the effectiveness of the proposed joint optimization scheme.
IEEE SYSTEMS JOURNAL
(2021)
Article
Automation & Control Systems
Gongpu Chen, Xianghui Cao, Jiong Jin
Summary: In this article, an error-aware design is proposed for remote state estimation over a wireless network, aiming to minimize the total estimation error covariance by considering estimation error covariance and channel quality in network scheduling and channel allocation. The development of multidimensional conflict graphs and a two-phase heuristic algorithm enable adaptive slot and channel assignment in each superframe, effectively preventing the estimation error covariance from diverging and improving the accuracy of remote estimation and monitoring, as demonstrated by theoretical analysis and extensive simulations.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Chemistry, Analytical
Yifeng Jin, Xunan Li, Guocheng Lv, Meihui Zhao, Ye Jin
Summary: The paper examines joint secure resource allocation for a two-way cooperative OFDM system with an untrusted relay, proposing an algorithm based on the alternative optimization method to efficiently solve the non-convex problem. Simulation results show that in a high signal-to-noise ratio scenario, the proposed algorithm improves the achievable sum secrecy rate of the system by more than 15% compared to conventional algorithms.
Article
Computer Science, Information Systems
Caihong Kai, Xiaowei Meng, Linsheng Mei, Wei Huang
Summary: This paper investigates the joint uplink-downlink resource allocation in time-varying D2D underlay wireless cellular networks. It proposes an effective joint uplink-downlink SAPA scheme based on distributed deep reinforcement learning (DRL) and model-free double-deep Q-network (DDQN) algorithm to solve the joint optimization problem. Numerical results show that the proposed method quickly converges to near-optimal performance and has low computational complexity, making it suitable for large-scale D2D underlay wireless cellular networks.
Article
Engineering, Electrical & Electronic
Rui Jiang, Caiming Sun, Xinke Tang, Long Zhang, Hongjie Wang, Aidong Zhang
Summary: In this article, an asymmetric clipped optical orthogonal frequency division multiplexing and non-orthogonal multiple access (ACO-OFDM-NOMA) scheme is proposed for the uplink UVLC system to achieve energy saving and support massive device connectivity. A low-complexity iterative algorithm is developed to jointly optimize user-subcarrier pairing and power allocation in order to maximize system utility. Simulation results demonstrate that the proposed algorithm outperforms the greedy algorithm and traditional ACO-OFDMA system in terms of system utility.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Dingzhu Wen, Ki-Jun Jeon, Mehdi Bennis, Kaibin Huang
Summary: This paper discusses the implementation of partitioned edge learning (PARTEL) in a wireless network, utilizing distributed computation resources for training large-scale artificial intelligence models. The study introduces a strategy that jointly optimizes parameter allocation, sub-channel allocation, and transmission power to reduce learning latency.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Telecommunications
Yufeng Chen, Guisheng Liao, Yongjun Liu, Haichuan Li, Xuchen Liu
Summary: This letter proposes a joint subcarrier and power allocation method to minimize the peak-to-sidelobe ratio (PSLR) while meeting the requirement of the communication data rate (CDR) and maintaining a certain range resolution. The proposed method is verified to be effective through numerical results.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Lin Tan, Zhufang Kuang, Lian Zhao, Anfeng Liu
Summary: Mobile edge computing (MEC) is an emergent architecture that brings computation and storage resources to the edge of the mobile network, providing rich services and applications for end users. This paper investigates the problem of task offloading and resource allocation in a multi-user collaborative MEC network based on OFDMA. A two-level alternation method framework is proposed to solve the problem, with a heuristic algorithm used in the upper level and deep reinforcement learning in the lower level. Simulation results demonstrate excellent performance in energy efficiency and task completion rate for different network parameter settings.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Mohammed W. Baidas
Summary: This paper addresses the resource allocation problem for multi-carrier clustered NOMA-enabled MEC networks, aiming to maximize network SOE through J-SA-PA-CRA. A low-complexity solution is proposed by decomposing the problem into two subproblems, which are optimally solved using a successive convex approximation algorithm and the KM algorithm, with the SMM algorithm proposed as a less complex alternative for sub-optimal subcarrier assignment. Simulation results confirm that the proposed solution efficiently achieves optimal (suboptimal) SOE compared to the global optimization package, outperforming OMA schemes like FDMA and TDMA.
Article
Computer Science, Hardware & Architecture
Peng Liu, Feng Zhao
Summary: This article introduces the fundamental theories and key technologies of mmWave mMIMO-NOMA communication networks, and designs and researches reliable transmission in complex blocking environments. Additionally, it combines the Monarch Butterfly algorithm and resource allocation technology and provides outlook on future development trends.
Article
Computer Science, Information Systems
Jincheng Xu, Bo Yang, Yuxiang Liu, Cailian Chen, Xinping Guan
Summary: This article discusses the importance of task offloading in edge computing for real-time computation-intensive applications in the IIoT, and the challenges it faces. It proposes a solution based on the ADMM algorithm by constructing a link model and formulating an optimization problem, and demonstrates its effectiveness through simulation experiments.
IEEE INTERNET OF THINGS JOURNAL
(2022)
