- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
VLC and D2D Heterogeneous Network Optimization: A Reinforcement Learning Approach Based on Equilibrium Problems with Equilibrium Constraints
摘要： The Radio Frequency (RF) spectrum crunch has triggered the harnessing of other sources of bandwidth, for which visible light is a promising candidate. Even though Visible Light Communication (VLC) ensures high capacity, coverage is limited. This necessitates the integration of VLC and Device-to-Device (D2D) technologies into heterogeneous networks. In particular, mobile users which are accessible by the VLC transmitters can relay data to mobile users which are not, by means of D2D communication. However, due to the distributed behaviors of mobile users, determining optimal data transmission routes from VLC transmitters to end mobile devices is a major challenge. In this paper, we propose a Reinforcement Learning (RL) based approach to determine multi-hop data transmission routes in an indoor VLC-D2D heterogeneous network. We obtain the rewards for the RL based method dynamically, by formulating the interactions between the mobile users relaying the data as an Equilibrium Problem with Equilibrium Constraints (EPEC) and using Alternating Direction Method of Multipliers (ADMM) to solve it. The proposed technique can achieve optimal data transmission routes in a distributed manner. Simulation results demonstrate the effectiveness of the proposed approach, showing that transmission routes with low delays and high capacities can be achieved through the learning algorithm.
关键词： Device-to-Device,Reinforcement Learning,Visible Light Communication,Alternating Direction Method of Multipliers,Heterogeneous Network,Equilibrium Problem with Equilibrium Constraints
更新于2025-09-23 15:22:29
-
[IEEE 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring) - Rome, Italy (2019.6.17-2019.6.20)] 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring) - Analog Radio-over-fiber WDM-PON Architecture for 5G Millimeter-wave Interface
摘要： As the standardization of network-assisted device-to-device (D2D) communications by the Third Generation Partnership Project progresses, the research community has started to explore the technology potential of new advanced features that will largely impact the performance of 5G networks. For 5G, D2D is becoming an integrative term of emerging technologies that take an advantage of the proximity of communicating entities in licensed and unlicensed spectra. The European 5G research project Mobile and Wireless Communication Enablers for the 2020 Information Society (METIS) has identified advanced D2D as a key enabler for a variety of 5G services, including cellular coverage extension, social proximity, and communicating vehicles. In this paper, we review the METIS D2D technology components in three key areas of proximal communications—network-assisted multi-hop, full-duplex, and multi-antenna D2D communications—and argue that the advantages of properly combining cellular and ad hoc technologies help to meet the challenges of the information society beyond 2020.
关键词： vehicular communications,MIMO systems,full duplex,Device-to-device communications,network coding,cooperative communications
更新于2025-09-23 15:21:01
-
Resource and Power Allocation in SWIPT Enabled Device-to-Device Communications Based on a Non-Linear Energy Harvesting Model
摘要： Due to the limited battery capacity in mobile devices, simultaneous wireless information and power transfer (SWIPT) has been proposed as a promising solution to improving the energy efficiency (EE) in Internet of things (IoT) networks, i.e., device-to-device (D2D) networks, by allowing mobile devices to harvest energy from ambient radio frequency (RF) signals. However, the non-linear behavior of RF energy harvesters has largely been ignored in existing works on SWIPT. In this paper, we propose to maximize the sum EE of all D2D links in a D2D underlaid cellular network by optimizing the resource and power allocation based on a non-linear energy harvesting (EH) model. Toward this end, we first propose a pre-matching algorithm to divide the D2D links into a SWIPT enabled group and a non-EH group that cannot meet the EH circuit sensitivity. We then develop a two-layer iterative algorithm to jointly optimize the D2D transmission power and the power splitting ratio to maximize the EE for each SWIPT enabled D2D link. On this basis, we build the preference lists for both SWIPT enabled D2D links and cellular user equipment (CUEs), and propose a one-to-one constraint stable matching algorithm to maximize the sum EE of all SWIPT enabled D2D links by optimizing the spectrum resource sharing between D2D links and CUEs. The sum EE of non-EH D2D links is maximized through an iterative power control algorithm and a one-to-one stable matching algorithm. Simulation results show that our proposed algorithms achieve a much higher sum EE than the existing matching based energy-efficient resource allocation scheme for SWIPT enabled D2D networks.
关键词： Device-to-device,underlay,energy harvesting,power control,resource allocation,SWIPT,energy efficiency,matching theory
更新于2025-09-23 15:21:01
-
[IEEE 2019 IEEE High Power Diode Lasers and Systems Conference (HPD) - Coventry, United Kingdom (2019.10.9-2019.10.10)] 2019 IEEE High Power Diode Lasers and Systems Conference (HPD) - High power single mode photonic integration
摘要： The pervasive increasing mobile devices and explosively increasing data traffic pose imminent challenges on wireless network design. Device-to-device (D2D) communication is envisioned to play a key role in the fifth generation cellular networks to efficiently support much larger and more diverse set of devices. This paper investigates the mode selection and resource allocation for D2D communications with dynamic user arrivals and departures. We formulate the optimal resource control problem to minimize the average energy consumption of flow transmission into an infinite horizon average reward Markov decision process. In order to deal with the well-known curse of dimensionality problem and facilitate distributed implementation, we approximate the mode selection Q-factor by the sum of per-queue mode selection Q-factors. Moreover, we apply distributive stochastic online learning to estimate the per-queue Q-factors. Simulation results show that the proposed approach outperforms various existing baseline algorithms.
关键词： Device-to-device communications,Markov decision process,flow-level model
更新于2025-09-23 15:19:57
-
[IEEE 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring) - Rome, Italy (2019.6.17-2019.6.20)] 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring) - Two-stage Class F-C Power Amplifier with an Optimum 2nd Harmonic Control at the Power Stage Input
摘要： The pervasive increasing mobile devices and explosively increasing data traffic pose imminent challenges on wireless network design. Device-to-device (D2D) communication is envisioned to play a key role in the fifth generation cellular networks to efficiently support much larger and more diverse set of devices. This paper investigates the mode selection and resource allocation for D2D communications with dynamic user arrivals and departures. We formulate the optimal resource control problem to minimize the average energy consumption of flow transmission into an infinite horizon average reward Markov decision process. In order to deal with the well-known curse of dimensionality problem and facilitate distributed implementation, we approximate the mode selection Q-factor by the sum of per-queue mode selection Q-factors. Moreover, we apply distributive stochastic online learning to estimate the per-queue Q-factors. Simulation results show that the proposed approach outperforms various existing baseline algorithms.
关键词： Device-to-device communications,Markov decision process,flow-level model
更新于2025-09-19 17:13:59
-
Demonstration of a 2.34 Gbit/s Real-Time Single Silicon-Substrate Blue LED-Based Underwater VLC System
摘要： The pervasive increasing mobile devices and explosively increasing data traffic pose imminent challenges on wireless network design. Device-to-device (D2D) communication is envisioned to play a key role in the fifth generation cellular networks to efficiently support much larger and more diverse set of devices. This paper investigates the mode selection and resource allocation for D2D communications with dynamic user arrivals and departures. We formulate the optimal resource control problem to minimize the average energy consumption of flow transmission into an infinite horizon average reward Markov decision process. In order to deal with the well-known curse of dimensionality problem and facilitate distributed implementation, we approximate the mode selection Q-factor by the sum of per-queue mode selection Q-factors. Moreover, we apply distributive stochastic online learning to estimate the per-queue Q-factors. Simulation results show that the proposed approach outperforms various existing baseline algorithms.
关键词： Markov decision process,Device-to-device communications,flow-level model
更新于2025-09-19 17:13:59
-
[IEEE 2019 International Conference on Electromagnetics in Advanced Applications (ICEAA) - Granada, Spain (2019.9.9-2019.9.13)] 2019 International Conference on Electromagnetics in Advanced Applications (ICEAA) - Waveform relaxation for field/circuit coupled problems with cutsets of inductances and current sources
摘要： In this paper, throughput improvement of device-to-device (D2D)-aided underlaying cellular networks is analyzed. The D2D devices are assumed to be capable of operating at the full duplex (FD) mode to enable the concurrent transmission and reception with a single frequency band. We analyze the impact of activating D2D users on the throughput of FD-based D2D (FD-D2D) aided underlaying network by considering non-ideal self-interference cancellation at the FD devices. Despite of an extra interference imposed on the cellular users (CUs) by the active D2D links, which may erode the signal-to-interference ratio of the former significantly, the FD-D2D mode is still shown to exhibit its superiority in terms of the throughput improvement. Furthermore, in order to avoid a severe FD-D2D-induced interference imposed on the CUs, a new mechanism called 'dynamic cellular link protection (DCLP),' which prohibits the transmissions of FD-D2D users when they are located inside the pre-set guard areas, is proposed. Numerical results show that the proposed DCLP mechanism is capable of substantially improving the throughput of the underlaying cellular networks without seriously eroding the capacity of the conventional cellular links.
关键词： self-interference,Underlaying cellular network,throughput,device-to-device,full duplex
更新于2025-09-19 17:13:59
-
[IEEE 2019 16th China International Forum on Solid State Lighting & 2019 International Forum on Wide Bandgap Semiconductors China (SSLChina: IFWS) - Shenzhen, China (2019.11.25-2019.11.27)] 2019 16th China International Forum on Solid State Lighting & 2019 International Forum on Wide Bandgap Semiconductors China (SSLChina: IFWS) - Effect of Different LED Light Sources on Growth and Development of Cherry Radish
摘要： In this paper, a novel technology, namely, device-to-device communications in the unlicensed spectrum (D2D-U) is proposed, which can allow D2D users to transmit on the unlicensed spectrum and coexist with the incumbent Wi-Fi networks. In D2D-U networks, D2D users can share the licensed spectrum with the existing cellular users or share the unlicensed spectrum with legacy Wi-Fi networks. Therefore, mutual interference across different networks and different users should be properly coordinated to optimize the system performance. In this paper, within the framework of D2D-U, we propose a joint mode selection and resource allocation algorithm to minimize the overall interference that cellular and Wi-Fi users suffer from the D2D communications while guaranteeing the signal-to-noise-and-interference ratio requirements of all users, including those of cellular, D2D, and Wi-Fi. Through theoretical analysis and numerical simulation, we show that using unlicensed spectrum can significantly mitigate the interference to both cellular and Wi-Fi users. Moreover, the duty cycle-based unlicensed spectrum access method achieves better system throughput than the listen-before-talk-based access method in most of the cases.
关键词： Device-to-device communication,duty-cycle,LTE and WiFi coexistence,listen-before-talk,LTE in the unlicensed spectrum (LTE-U)
更新于2025-09-19 17:13:59
-
[Institution of Engineering and Technology 12th European Conference on Antennas and Propagation (EuCAP 2018) - London, UK (9-13 April 2018)] 12th European Conference on Antennas and Propagation (EuCAP 2018) - Propagation measurements for device-to-device communication in forest terrain
摘要： In this paper, we present a measurement campaign conducted in forest terrain with focus on path-loss. The aim of the measurement campaign is to study the coverage in a Device-to-Device (D2D) communication scenario. The measurement campaign was conducted in the LTE band 8 at 917.5 MHz with measurement ranges extending to more than 2.5 km. The measurements have been conducted using a purpose-developed measurement system with a dynamic range of 180 dB. The measurements showed that a D2D system with transmit and receive antenna at heights of 1.5 m could achieve a range of approximately 2 km using the 164 dB path-loss limit speci?ed for Narrow Band Internet-of-Things (NB-IoT).
关键词： NB-IoT,Forest,D2D,path loss,Device-to-Device
更新于2025-09-04 15:30:14