Article
Computer Science, Information Systems
Chao Zhai, Yujun Li, Chunguo Li, Ju Liu
Summary: The article introduces a cognitive relaying scheme where secondary sources and relays can harvest wireless energy and perform data transmission over two continuous time blocks. By analyzing energy accumulation processes and various transmit powers, the optimal number of time blocks for wireless power transfer is determined through maximizing secondary throughput while slightly degrading primary performance.
IEEE SYSTEMS JOURNAL
(2021)
Article
Computer Science, Information Systems
Ahmad Sirojuddin, Vezamafa Nzima, Keshav Singh, Sudip Biswas, Wan-Jen Huang
Summary: This paper analyzes a backscatter network for simultaneous wireless information and power transfer, proposing optimization problems and algorithms to improve achievable rate at the receiver. Simulation results demonstrate algorithm effectiveness and show the impact of factors such as number of BDs, source transmit power, and distance on network performance.
Article
Computer Science, Information Systems
Chao Zhai, Yujun Li, Xinhua Wang, Zhiyuan Yu
Summary: This paper proposes a nonorthogonal multiple access scheme with two energy harvesting relays for a downlink communication system. The scheme uses the superposition coding technique to transmit data of both near and far users simultaneously, with the relays alternately amplifying and forwarding the data to the far user. Each relay can harvest wireless energy from the signals of both the base station and the other relay, providing more opportunities for accumulating energy and achieving higher-quality cooperative relaying. The near user performs adaptive interference cancelation to retrieve its desired data. Numerical results demonstrate that the nonorthogonal scheme outperforms the orthogonal scheme in terms of throughput.
IEEE SYSTEMS JOURNAL
(2022)
Article
Computer Science, Information Systems
Guiping Lin, Yike Zhou, Weiwei Jiang, Xin He, Xiaobo Zhou, Guodong He, Panlong Yang
Summary: This paper analyzes the outage performance of a lossy forwarding relaying system with simultaneous wireless information and power transfer capability. The system achieves significant gains compared to existing systems by collecting energy and decoding information at the relay node. An optimization algorithm is also proposed to improve system performance.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Yizhe Zhao, Yanliang Wu, Jie Hu, Kun Yang, Bruno Clerckx
Summary: With the development of wireless communications, the technology of industrial Internet of Things (IIoT) has emerged as a potential next-generation mobile communication technology for smart factories. This letter proposes an energy harvesting modulation (EHM) scheme for integrated control state and energy transfer (ICSET) in low-power devices. The theoretical analysis includes the performance of wireless energy transfer (WET) and wireless control state transfer (WCST). The simulation results validate the proposed scheme and suggest selecting an appropriate number of time slots within a period to optimize the ICSET performance.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Computer Science, Information Systems
Bin Zhao, Xiaohui Zhao
Summary: This paper proposes a wireless sensor network composed of several local subnetworks with amplified forwarding relay and specially designed working time cycle. The authors use deep reinforcement learning to develop resource allocation policies for maximizing throughput. Simulation results show that the proposed policies can significantly improve network performance.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Alok Kumar Shukla, Prabhat Kumar Upadhyay, Abhishek Srivastava, Jules Mouatcho Moualeu
Summary: This article explores a spectral and energy-efficient wireless body area network for smart healthcare applications, focusing on improved spectrum utilization through cognitive radio technology and energy harvesting protocols. Expression for outage probability is derived for both primary and secondary networks, with insights on throughput and energy efficiency performances in a delay-limited scenario. Key parameters are demonstrated to provide guidelines for practical design, and the proposed analytical framework is verified through Monte Carlo simulations.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
Mostafa Rezaie, Mohamad Dosaranian-Moghadam, Hamidreza Bakhshi, Mohammadreza Hassannejad-Bibalan
Summary: In this paper, a novel full-duplex overlay cognitive wireless powered communication network is proposed, which utilizes a full-duplex hybrid-access point to support full access for all battery-free secondary users. By controlling the transmit power allocation and employing temperature control and gradient projection techniques, the issue of self-interference in the system is effectively addressed. A comparison with a half-duplex cognitive wireless powered communication network demonstrates the superior performance of the full-duplex overlay network.
Article
Engineering, Electrical & Electronic
Dinh-Thuan Do, Anh-Tu Le, Yuanwei Liu, Abbas Jamalipour
Summary: The development of UAVs has revolutionized wireless communications, but their widespread use is limited by short battery life. Research focuses on energy efficiency, with proposals for energy harvesting techniques in UAV networks needing further exploration. This paper comprehensively evaluates the performance of UAV relay networks using NOMA technique, providing insights into outage and ergodic capacity performance.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Ha Hoang Kha
Summary: This paper addresses the design problem of an underlay cognitive radio (CR) wireless network with the use of a relay node employing power-splitting techniques to maximize user rate under interference and energy constraints. By devising appropriate surrogate functions and developing an efficient iterative algorithm, the nonconvex optimization problem is recast into a convex one. Numerical results evaluate achievable user rate performance and investigate the impact of interference power thresholds and antenna numbers on minimum achievable user rate.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Ashish Padhy, Sandeep Joshi, Sainath Bitragunta, Vinay Chamola, Biplab Sikdar
Summary: Energy harvesting (EH) and spectrum harvesting (SH) are crucial mechanisms for green communication and networking, supporting a multitude of low-power sensor devices. These devices can utilize ambient energy sources and electromagnetic spectrum for energy harvesting and communication.
Article
Engineering, Electrical & Electronic
Dheeraj Naidu Amudala, Rohit Budhiraja
Summary: This work investigates a multi-way massive multi-input multi-output (mMIMO) relaying system with energy harvesting capability, and proposes an optimization algorithm to enhance the weighted sum energy efficiency (WSEE) by considering spatially-correlated relay-user channels and non-linear energy harvesting model.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Physics, Multidisciplinary
Juan Sun, Shubin Zhang, Changsong Yang, Liang Huang
Summary: This paper investigates the problem of minimizing information freshness in a radio frequency energy-harvesting cognitive radio network. By optimizing sensing and update decisions, we propose a method that significantly outperforms the myopic policy.
Article
Physics, Multidisciplinary
Hui Wang, Jian Dong, Kun Tang, Heyuan Shi
Summary: This study explores the enhancement of spectral efficiency under energy constraints in wireless communication systems using a NOMA-based cognitive radio network with the assistance of a wireless-powered relay station. Through mathematical analysis and Monte Carlo simulation, the proposed cooperative transmission schemes of AF and DF relay techniques show superior performance compared to direct transmission and other similar schemes, with the DF scheme demonstrating better performance within specified parameter ranges.
Article
Computer Science, Information Systems
Hiroshi Saito
Summary: This theoretical analysis introduces a nonlinear energy harvesting model based on stochastic geometry, using a Gauss-Markov model as a mobility model. Closed form formulas for the first and second moments of total energy harvested are derived from a combination of these models.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Tan N. Nguyen, Dinh-Hieu Tran, Trinh Van Chien, Van-Duc Phan, Nhat-Tien Nguyen, Miroslav Voznak, Symeon Chatzinotas, Bjorn Ottersten, H. Vincent Poor
Summary: This article investigates the physical layer security with radio frequency energy harvesting in a simultaneous wireless information and power transfer cooperative network. A low-complexity sensor source selection scheme is proposed, and two relaying strategies are considered. Analytical expressions for the outage probability and intercept probability are derived, and simulation results show the superiority of the proposed scheme.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Information Systems
Nazanin Moosavi, Mahnaz Sinaie, Paeiz Azmi, Pin-Hsun Lin, Eduard Jorswieck
Summary: This paper proposes a framework for meeting high data rate, low energy consumption, and low latency requirements in OFDMA-NOMA based H-CRAN. By maximizing effective energy efficiency and considering spectrum and power cooperation between macro base stations and radio remote heads, an efficient resource allocation scheme is proposed. Simulation results show that the algorithm can achieve a reasonable trade-off between delay and energy efficiency, and spectrum and power cooperation can improve the network's energy efficiency.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Trinh Van Chien, Eva Lagunas, Tung Hai Ta, Symeon Chatzinotas, Bjorn Ottersten
Summary: This article discusses multi-beam high throughput satellite (HTS) systems where all beams reuse the same spectrum. A novel user scheduling and power allocation design is proposed to provide guarantees in terms of the individual QoS requirements while maximizing the system throughput under a limited power budget. The effectiveness of the algorithms on GEO satellite networks is demonstrated through numerical results, showing better QoS satisfaction combined with outstanding overall system throughput.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Ziyang Cheng, Linlong Wu, Bowen Wang, M. R. Bhavani Shankar, Bjorn Ottersten
Summary: Hybrid beamforming (HBF) is a promising technique in millimeter-wave dual-function radar-communication (DFRC) systems. This work proposes a HBF design based on subarray connection architecture for a multiple-input multiple-output (MIMO) DFRC system, which embeds a double-phase-shifter (DPS) structure to increase design flexibility. The proposed method, named THEREON, optimizes the radar receiver via generalized eigenvalue decomposition and updates the transmit HBF with low complexity using consensus-ADMM. Numerical simulations validate the efficacy of the proposed algorithm and demonstrate a good trade-off between the number of phase shifters and performance gain of the DPS HBF.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Xingyu Zhou, Keke Ying, Zhen Gao, Yongpeng Wu, Zhenyu Xiao, Symeon Chatzinotas, Jinhong Yuan, Bjorn Ottersten
Summary: This paper investigates the integration of grant-free non-orthogonal multiple access (GF-NOMA) paradigm with orthogonal time frequency space (OTFS) modulation for low Earth orbit (LEO) satellite-based Internet of Things (IoT) to address challenges such as long round-trip latency and severe Doppler effect. The proposed two-stage successive active terminal identification and channel estimation scheme along with a low-complexity multi-user signal detection method demonstrate superior performance compared to existing solutions in terms of ATI, CE, and SD under the mentioned challenges.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Lin Chen, Vu Nguyen Ha, Eva Lagunas, Linlong Wu, Symeon Chatzinotas, Bjorn Ottersten
Summary: Beam Hopping (BH) is a popular technique for multi-beam satellite communication system to selectively illuminate beams and focus satellite resources efficiently. The main limitation of conventional BH is the need for adjacent beam avoidance to minimize interference. This paper proposes a dynamic beam illumination scheme with selective precoding to cover high-demand areas, and presents two convexification frameworks for solving the beam illumination design problem. A greedy algorithm is also proposed to reduce complexity while maintaining good performance. Simulation results show that the proposed schemes outperform the benchmarks in terms of demand matching performance and precoding usage minimization.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Telecommunications
Mohsen Pourghasemian, Mohammad Reza Abedi, Shima Salar Hosseini, Nader Mokari, Mohammad Reza Javan, Eduard A. A. Jorswieck
Summary: In this paper, a novel joint intelligent trajectory design and resource allocation algorithm is proposed for unmanned aerial vehicles (UAVs) assisted networks. The algorithm maximizes energy efficiency and minimizes average delay by allocating limited radio and NFV resources. The problem is formulated to find optimal locations of UAVs, transmit power, subcarrier assignment, VNF placement, and VNF scheduling, and a hierarchical hybrid continuous and discrete action (HHCDA) deep reinforcement learning method is proposed. Simulation results show improved performance compared to the state-of-the-art Deep Deterministic Policy Gradient method.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Telecommunications
Wali Ullah Khan, Eva Lagunas, Asad Mahmood, Zain Ali, Muhammad Asif, Symeon Chatzinotas, Bjorn Ottersten
Summary: This paper proposes a new optimization scheme to enhance the spectral efficiency in a multi-cell RIS-NOMA network under SIC decoding errors. The original problem is decoupled into two sub-problems, power allocation and passive beamforming, and efficient solutions are obtained for each sub-problem by using approximation methods. Numerical results demonstrate the benefits of the proposed optimization scheme in the multi-cell RIS-NOMA network.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Telecommunications
Michael N. Dazhi, Hayder Al-Hraishawi, M. R. Bhavani Shankar, Symeon Chatzinotas, Bjorn Ottersten
Summary: This paper introduces the concept of energy efficiency and multi-connectivity in a multi-orbit non-terrestrial network, where user terminals can be served by more than one satellite simultaneously to achieve higher throughput with reduced energy consumption. The developed EE-SAMC scheduling algorithm uses available radio resources and propagation information to optimize traffic routing and minimize energy consumption while ensuring quality of service.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Telecommunications
Hayder Al-Hraishawi, Osamah Abdullah, Symeon Chatzinotas, Bjorn Ottersten
Summary: This paper investigates the concept of utilizing an unconventional source for RF energy harvesting in multi-user massive MIMO systems. The feasibility of this concept is studied through system performance analysis, and the effectiveness of the derived closed-form expressions is validated through simulations. The results show that using jamming signals for energy harvesting is viable and can improve the performance of massive MIMO systems.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Engineering, Electrical & Electronic
Ignacio Santamaria, Mohammad Soleymani, Eduard Jorswieck, Jesus Gutierrez
Summary: Researchers have recently explored reconfigurable intelligent surface (RIS) architectures beyond diagonal phase shift matrices, allowing for more flexibility in shaping wireless channels. One specific type, the beyond-diagonal RIS (BD-RIS) architecture, leads to a unitary and symmetric RIS matrix. In this letter, the problem of maximizing the signal-to-noise ratio (SNR) in single and multiple antenna links with the assistance of a BD-RIS is considered. The Max-SNR problem can be solved analytically using the Takagi factorization of a complex and symmetric matrix, enabling solutions for SISO, SIMO, and MISO channels.
IEEE SIGNAL PROCESSING LETTERS
(2023)
Article
Computer Science, Information Systems
Mohammad Soleymani, Ignacio Santamaria, Eduard A. A. Jorswieck
Summary: This paper proposes a general optimization framework to improve the spectral and energy efficiency of URLLC systems with finite block length. The framework can solve various optimization problems related to user rates and energy efficiency. It can be applied to interference-limited systems and considers realistic assumptions regarding regular RIS and STAR-RIS components. The results show that optimized RIS can significantly increase the efficiency of URLLC systems.
Article
Engineering, Electrical & Electronic
Mohammad Soleymani, Ignacio Santamaria, Eduard Jorswieck, Sepehr Rezvani
Summary: This paper studies the performance of reconfigurable intelligent surfaces (RISs) in a multicell broadcast channel (BC) using improper Gaussian signaling (IGS) and non-orthogonal multiple access (NOMA) to optimize minimum-weighted rate or energy efficiency (EE). The results show that although RISs can significantly improve system performance, they cannot completely mitigate interference, so other interference-management techniques are needed. Furthermore, different feasibility sets for the RIS components are considered, and it is found that even a RIS with a small number of elements provides considerable gains.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2023)
Article
Computer Science, Information Systems
Mohammad Reza Abedi, Mohammad Reza Javan, Mohsen Pourghasemian, Nader Mokari, Eduard A. Jorswieck
Summary: The dynamic resource block structure (D-RBS) enables flexible allocation of radio resources to adapt to changing network conditions. This research paper introduces a new approach that utilizes artificial intelligence and deep reinforcement learning to support the three main services of 5th generation networks. The proposed intelligent allocation scheme achieves efficient resource utilization and a 40% energy efficiency gain compared to other schemes.
Article
Engineering, Electrical & Electronic
Mehdi Letafati, Hamid Behroozi, Babak Hossein Khalaj, Eduard A. Jorswieck
Summary: In this article, a learning-aided approach is proposed to enhance the randomness distillation in wireless secret key generation (WSKG) using a deep neural network (DNN) on the application layer. This learning-based solution improves the security and performance of 6G wireless networks, especially under adversarial attacks and hardware impairments. Numerical results demonstrate the effectiveness of the proposed approach.
IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY
(2023)