One of the most effective technology for the 5G mobile communications is Device-to-device(D2D)communication which is also called terminal pass-through technology.It can directly communicate between devices under the c...One of the most effective technology for the 5G mobile communications is Device-to-device(D2D)communication which is also called terminal pass-through technology.It can directly communicate between devices under the control of a base station and does not require a base station to forward it.The advantages of applying D2D communication technology to cellular networks are:It can increase the communication system capacity,improve the system spectrum efficiency,increase the data transmission rate,and reduce the base station load.Aiming at the problem of co-channel interference between the D2D and cellular users,this paper proposes an efficient algorithm for resource allocation based on the idea of Q-learning,which creates multi-agent learners from multiple D2D users,and the system throughput is determined from the corresponding state-learning of the Q value list and the maximum Q action is obtained through dynamic power for control for D2D users.The mutual interference between the D2D users and base stations and exact channel state information is not required during the Q-learning process and symmetric data transmission mechanism is adopted.The proposed algorithm maximizes the system throughput by controlling the power of D2D users while guaranteeing the quality-of-service of the cellular users.Simulation results show that the proposed algorithm effectively improves system performance as compared with existing algorithms.展开更多
保密通信作为物联网安全的一项核心技术近些年受到了广泛关注。无人机(UAV)由于其高机动和灵活部署等特性,被认为是提高物联网通信安全的有力手段。针对当前物联网中UAV辅助保密通信频谱利用率问题,研究了UAV和地面设备到设备(Device-to...保密通信作为物联网安全的一项核心技术近些年受到了广泛关注。无人机(UAV)由于其高机动和灵活部署等特性,被认为是提高物联网通信安全的有力手段。针对当前物联网中UAV辅助保密通信频谱利用率问题,研究了UAV和地面设备到设备(Device-to-Device, D2D)通信系统频谱共享的系统保密容量最大化,提出了一种基于块坐标下降(Block Coordinate Descent, BCD)法的频谱共享算法,该算法通过联合优化系统中发送方(UAV和地面设备对)的传输功率和无人机轨迹,在确保地面设备对和UAV能够共存的情况下最大化接收方的保密容量。具体来说,该算法通过差分凸规划(Difference of Two Convex Functions, DC)方法优化固定轨迹下的系统功率,利用连续凸优化方法解决给定发射功率的UAV轨迹优化问题。仿真结果表明,所提方法在多种参数配置下都能有效提高系统的保密容量,并且和其他算法相比有更低的功率消耗。展开更多
In this paper, we investigate the energy efficiency and spectrum efficiency, including one-hop device-to-device(D2D) communications mode and two-way amplify-and-forward(AF) relaying D2D communications mode in underlay...In this paper, we investigate the energy efficiency and spectrum efficiency, including one-hop device-to-device(D2D) communications mode and two-way amplify-and-forward(AF) relaying D2D communications mode in underlay D2D communications enabled cellular networks. An analysis of average energy efficiency and spectrum efficiency are developed and closed-form expressions are obtained for two types of D2D communications modes under the effect of Rayleigh fading channel, path loss, and co-channel interference. Analytical results are validated through numerical simulations. Based on the simulation, the effects of the interference, the distance between D2D pair and the position of relay node on the energy efficiency and spectrum efficiency of D2D communications are investigated. The optimal D2D transmission powers of these two modes to maximize the energy efficiency are also investigated.展开更多
本文针对能量采集认知机器到机器(Machine-to-Machine,M2M)通信的能量效率问题,在保证服务质量(Quality of Service,QoS)的条件下,提出了一种能效优化算法.以最大化网络中用户能效为目标,综合考虑传输功率控制、时隙分配、传输模式选择...本文针对能量采集认知机器到机器(Machine-to-Machine,M2M)通信的能量效率问题,在保证服务质量(Quality of Service,QoS)的条件下,提出了一种能效优化算法.以最大化网络中用户能效为目标,综合考虑传输功率控制、时隙分配、传输模式选择、中继选择以及每个设备的能量状态为约束,将优化问题建模为一个混合整数非线性规划问题.将该能效优化问题转化为离散时间有限状态马尔科夫决策过程(Discrete-time and Finite-state Markov Decision Process,DFMDP)进行求解.提出一种基于深度强化学习的算法寻找最优策略.仿真结果表明,所提算法在平均能效方面优于其他方案,且收敛速度在可接受范围内.展开更多
Device-to-device(D2D) communications can be underlaid with a cellular infrastructure to increase resource utilization, improve user throughput and save battery energy. In such networks, power allocation and mode selec...Device-to-device(D2D) communications can be underlaid with a cellular infrastructure to increase resource utilization, improve user throughput and save battery energy. In such networks, power allocation and mode selection are crucial problems. To address the joint optimization of power and mode selection under imperfect CSI, we propose an optimal, energy-aware joint power allocation and mode selection(JPAMS) scheme. First, we derive the closed-form solution for the power minimization for both D2 D and cellular links while satisfying different quality of service(Qo S) constraints. Second, we address the mode selection problem in presence of imperfect CSI, based on the derived power allocation. Moreover, the theoretical analysis and simulation results are presented to evaluate the proposed scheme for the D2 D communications.展开更多
针对移动边缘系统低功耗的需求,基于随机几何理论,研究了不同场景下D2D协作边缘缓存系统中移动设备的能耗。将请求用户和空闲用户的动态分布建模为相互独立的齐次泊松点过程(Homogeneous Poisson Point Process,HPPP),综合考虑移动设备...针对移动边缘系统低功耗的需求,基于随机几何理论,研究了不同场景下D2D协作边缘缓存系统中移动设备的能耗。将请求用户和空闲用户的动态分布建模为相互独立的齐次泊松点过程(Homogeneous Poisson Point Process,HPPP),综合考虑移动设备的平均能耗与请求业务卸载概率、空闲设备激活概率和D2D通信重传概率的关系,推导出与缓存数量相关的请求设备平均能耗、空闲设备平均能耗的表达式,并仿真探讨了不同用户密度和不同内容流行度下移动设备能耗和缓存数量的关系。仿真结果表明,不同场景下优化缓存数量可以有效降低D2D协作边缘缓存系统移动设备的能耗。展开更多
文摘One of the most effective technology for the 5G mobile communications is Device-to-device(D2D)communication which is also called terminal pass-through technology.It can directly communicate between devices under the control of a base station and does not require a base station to forward it.The advantages of applying D2D communication technology to cellular networks are:It can increase the communication system capacity,improve the system spectrum efficiency,increase the data transmission rate,and reduce the base station load.Aiming at the problem of co-channel interference between the D2D and cellular users,this paper proposes an efficient algorithm for resource allocation based on the idea of Q-learning,which creates multi-agent learners from multiple D2D users,and the system throughput is determined from the corresponding state-learning of the Q value list and the maximum Q action is obtained through dynamic power for control for D2D users.The mutual interference between the D2D users and base stations and exact channel state information is not required during the Q-learning process and symmetric data transmission mechanism is adopted.The proposed algorithm maximizes the system throughput by controlling the power of D2D users while guaranteeing the quality-of-service of the cellular users.Simulation results show that the proposed algorithm effectively improves system performance as compared with existing algorithms.
文摘保密通信作为物联网安全的一项核心技术近些年受到了广泛关注。无人机(UAV)由于其高机动和灵活部署等特性,被认为是提高物联网通信安全的有力手段。针对当前物联网中UAV辅助保密通信频谱利用率问题,研究了UAV和地面设备到设备(Device-to-Device, D2D)通信系统频谱共享的系统保密容量最大化,提出了一种基于块坐标下降(Block Coordinate Descent, BCD)法的频谱共享算法,该算法通过联合优化系统中发送方(UAV和地面设备对)的传输功率和无人机轨迹,在确保地面设备对和UAV能够共存的情况下最大化接收方的保密容量。具体来说,该算法通过差分凸规划(Difference of Two Convex Functions, DC)方法优化固定轨迹下的系统功率,利用连续凸优化方法解决给定发射功率的UAV轨迹优化问题。仿真结果表明,所提方法在多种参数配置下都能有效提高系统的保密容量,并且和其他算法相比有更低的功率消耗。
基金supported by the National Natural Science Foundation of China under Grant U1805262, 61871446, 61671251 and 61701201the Natural Science Foundation of Jiangsu Province under Grant No.BK20170758+2 种基金the Natural Science Foundation for colleges and universities of Jiangsu Province under Grant No.17KJB510011the open research fund of National Mobile Communications Research Laboratory,Southeast University under Grant No.2015D10Project of Key Laboratory of Wireless Communications of Jiangsu Province under Grant No.NK214001
文摘In this paper, we investigate the energy efficiency and spectrum efficiency, including one-hop device-to-device(D2D) communications mode and two-way amplify-and-forward(AF) relaying D2D communications mode in underlay D2D communications enabled cellular networks. An analysis of average energy efficiency and spectrum efficiency are developed and closed-form expressions are obtained for two types of D2D communications modes under the effect of Rayleigh fading channel, path loss, and co-channel interference. Analytical results are validated through numerical simulations. Based on the simulation, the effects of the interference, the distance between D2D pair and the position of relay node on the energy efficiency and spectrum efficiency of D2D communications are investigated. The optimal D2D transmission powers of these two modes to maximize the energy efficiency are also investigated.
文摘本文针对能量采集认知机器到机器(Machine-to-Machine,M2M)通信的能量效率问题,在保证服务质量(Quality of Service,QoS)的条件下,提出了一种能效优化算法.以最大化网络中用户能效为目标,综合考虑传输功率控制、时隙分配、传输模式选择、中继选择以及每个设备的能量状态为约束,将优化问题建模为一个混合整数非线性规划问题.将该能效优化问题转化为离散时间有限状态马尔科夫决策过程(Discrete-time and Finite-state Markov Decision Process,DFMDP)进行求解.提出一种基于深度强化学习的算法寻找最优策略.仿真结果表明,所提算法在平均能效方面优于其他方案,且收敛速度在可接受范围内.
基金supported in part by Important National Science and Technology Specific Projects (Grants Nos. 2011 ZX 0300300104, 2012ZX03003012)Fundamental Research Funds for Central Universities (Grant Nos. 72125377)
文摘Device-to-device(D2D) communications can be underlaid with a cellular infrastructure to increase resource utilization, improve user throughput and save battery energy. In such networks, power allocation and mode selection are crucial problems. To address the joint optimization of power and mode selection under imperfect CSI, we propose an optimal, energy-aware joint power allocation and mode selection(JPAMS) scheme. First, we derive the closed-form solution for the power minimization for both D2 D and cellular links while satisfying different quality of service(Qo S) constraints. Second, we address the mode selection problem in presence of imperfect CSI, based on the derived power allocation. Moreover, the theoretical analysis and simulation results are presented to evaluate the proposed scheme for the D2 D communications.
文摘针对移动边缘系统低功耗的需求,基于随机几何理论,研究了不同场景下D2D协作边缘缓存系统中移动设备的能耗。将请求用户和空闲用户的动态分布建模为相互独立的齐次泊松点过程(Homogeneous Poisson Point Process,HPPP),综合考虑移动设备的平均能耗与请求业务卸载概率、空闲设备激活概率和D2D通信重传概率的关系,推导出与缓存数量相关的请求设备平均能耗、空闲设备平均能耗的表达式,并仿真探讨了不同用户密度和不同内容流行度下移动设备能耗和缓存数量的关系。仿真结果表明,不同场景下优化缓存数量可以有效降低D2D协作边缘缓存系统移动设备的能耗。
