A Two-Layer, Energy-Efficient Approach for Joint Power Control and Uplink–Downlink Channel Allocation in D2D Communication

Zhou, Li; Wu, Yucheng; Yu, Haifei

doi:10.3390/s20113285

Cited by 13 publications

(6 citation statements)

References 37 publications

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“…(1) One-to-one D2D communication Resource allocation in one-to-one D2D communication was studied in [18,19]. In [18], a network-assisted distributed processing architecture was proposed to solve the throughput optimization problem, which included receiving mode selection, verification for relay selection, and transmission power adjustment.…”

Section: Related Workmentioning

confidence: 99%

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Overlapping Coalition Game for Resource Allocation in Many-to-Many D2D Communication

Sheng

Liu

Huang

et al. 2022

Wireless Communications and Mobile Computing

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Device-to-device (D2D) communication is one of the promising technologies for the next-generation cellular network, which uses direct communication between two neighboring devices to obtain a high transmission rate. This paper focuses on wireless resource allocation in a many-to-many D2D communication scenario to maximize the D2D transmission sum rate. Through the model analysis, the objective function is formulated while guaranteeing the minimum transmission rate of both the cellular users (CUs) and the D2D pairs. Based on the candidate sequence, an overlapping coalition game algorithm is proposed to enhance the D2D transmission sum rate. Furthermore, the preference sequence of CUs is adopted in the coalition initialization. According to the interference intensity, a power allocation scheme is designed further to improve the transmission sum rate of the D2D pairs. The simulation results have verified the validity of the proposed algorithm.

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Section: Related Workmentioning

confidence: 99%

“…It could reduce the burden of centralized processing. A power control and channel allocation scheme for the energy efficiency maximization of D2D pairs through reusing uplink-downlink resources was presented in [19].…”

Section: Related Workmentioning

confidence: 99%

Overlapping Coalition Game for Resource Allocation in Many-to-Many D2D Communication

Sheng

Liu

Huang

et al. 2022

Wireless Communications and Mobile Computing

Self Cite

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“…A hybrid particle swarm optimization (HPSO) algorithm was proposed to maximize network capacity [15]. Through the Lambert W function, Zhou et al derived the transmitted power corresponding to the maximum energy efficiency and allocated channels based on the Kuhn-Munkres algorithm [16]. These methods divided the joint optimization problem into two subproblems which were solved singly or sequentially without sufficient consideration of the interaction feedback between them.…”

Section: Introductionmentioning

confidence: 99%

Joint Power and Channel Optimization of Agricultural Wireless Sensor Networks Based on Hybrid Deep Reinforcement Learning

Han

Zhu

et al. 2021

Processes

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The reduction of maintenance costs in agricultural wireless sensor networks (WSNs) requires reducing energy consumption. At the same time, care should be taken not to affect communication quality and network lifetime. This paper studies a joint optimization algorithm for transmitted power and channel allocation based on deep reinforcement learning. First, an optimization model to measure network reward was established under the constraint of the signal-to-interference plus-noise-ratio (SINR) threshold, which includes continuous power variables and discrete channel variables. Secondly, considering the dynamic changes of agricultural WSNs, the network control is described as a Markov decision process with continuous state and action space. A deep deterministic policy gradient (DDPG) reinforcement learning scheme suitable for mixed variables was designed. This method could obtain a control scheme that maximizes network reward by means of black-box optimization for continuous transmitted power and discrete channel allocation. Experimental results indicated that the studied algorithm has stable convergence. Compared with traditional protocols, it can better control the transmitted power and allocate channels. The joint power and channel optimization provides a reference solution for constructing an energy-balanced network.

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“…However, direct communication between devices using licensed cellular band is expected to be allowed in 5G systems which is called device-to-device (D2D) communication technology. D2D communication allows devices to communicate with each other without or limited involvement of a BS [ 24 , 25 , 26 , 27 , 28 , 29 ]. As D2D users can directly communicate among themselves using the same cellular infrastructure, it not only offloads traffic from the core network but also improves applications and services offered by the system.…”

Section: Introductionmentioning

confidence: 99%

Device-to-Device Aided Cooperative Relaying Scheme Exploiting Spatial Modulation: An Interference Free Strategy

Kamal

Kader

Islam

et al. 2020

Sensors

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In this paper, a novel interference free dual-hop device-to-device (D2D) aided cooperative relaying strategy (CRS) based on spatial modulation (SM) (termed D2D-CRS-SM) is proposed. In D2D-CRS-SM, two cellular users (e.g., a near user (NU) and a relay-aided far user (FU)) and a pair of D2D transmitter (D1)-receivers (D2) are served in two time-slots. Two different scenarios are investigated considering information reception criteria at the NU. Irrespective of the scenarios, the base station (BS) exploits SM to map information bits into two sets: modulation bits and antenna index, in phase-1. In the first scenario, the BS maps FU information as the modulation bits and NU information as antenna index, whereas modulation bits correspond to NU information and the antenna index carries FU’s information in scenario-2. The iterative-maximum ratio combining (i-MRC) technique is then used by NU and D1 to de-map their desired information bits. During phase-2, D1 also exploits SM to forward FU’s information received from BS and its own information bits to the D2D receiver D2. Then, FU and D2 retrieve their desired information by using i-MRC. Due to exploiting SM in both phases, interference free information reception is possible at each receiving node without allocating any fixed transmit power. The performance of D2D-CRS-SM is studied in terms of bit-error rate and spectral efficiency considering M-ary phase shift keying and quadrature amplitude modulation. Finally, the efficiency of D2D-CRS-SM is demonstrated via the Monte Carlo simulation.

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A Two-Layer, Energy-Efficient Approach for Joint Power Control and Uplink–Downlink Channel Allocation in D2D Communication

Cited by 13 publications

References 37 publications

Overlapping Coalition Game for Resource Allocation in Many-to-Many D2D Communication

Overlapping Coalition Game for Resource Allocation in Many-to-Many D2D Communication

Joint Power and Channel Optimization of Agricultural Wireless Sensor Networks Based on Hybrid Deep Reinforcement Learning

Device-to-Device Aided Cooperative Relaying Scheme Exploiting Spatial Modulation: An Interference Free Strategy

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