Directed-Hypergraph-Based Channel Allocation for Ultradense Cloud D2D Communications With Asymmetric Interference

2018 ◽  
Vol 67 (8) ◽  
pp. 7712-7718 ◽  
Author(s):  
Youming Sun ◽  
Zhiyong Du ◽  
Yuhua Xu ◽  
Yuli Zhang ◽  
Luliang Jia ◽  
...  
Keyword(s):  
Channel Allocation ◽  
D2d Communications ◽  
Asymmetric Interference ◽  
Directed Hypergraph

scholarly journals Power Control and Channel Allocation Algorithm for Energy Harvesting D2D Communications

Algorithms ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 93 ◽  
Author(s):  
Na Su ◽  
Qi Zhu
Keyword(s):  
Energy Harvesting ◽  
Power Control ◽  
Channel Allocation ◽  
Base Station ◽  
Transmission Power ◽  
D2d Communications ◽  
Harvesting Time ◽  
Allocation Algorithm ◽  
Total Capacity ◽  
Power And Energy

This paper assumes that multiple device-to-device (D2D) users can reuse the same uplink channel and base station (BS) supplies power to D2D transmitters by means of wireless energy transmission; the optimization problem aims at maximizing the total capacity of D2D users, and proposes a power control and channel allocation algorithm for the energy harvesting D2D communications underlaying the cellular network. This algorithm firstly uses a heuristic dynamic clustering method to cluster D2D users and those in the same cluster can share the same channel. Then, D2D users in the same cluster are modeled as a non-cooperative game, the expressions of D2D users’ transmission power and energy harvesting time are derived by using the Karush–Kuhn–Tucker (KKT) condition, and the optimal transmission power and energy harvesting time are allocated to D2D users by the joint iteration optimization method. Finally, we use the Kuhn–Munkres (KM) algorithm to achieve the optimal matching between D2D clusters and cellular channel to maximize the total capacity of D2D users. Simulation results show that the proposed algorithm can effectively improve the system performance.

scholarly journals Resource Allocation Algorithm for NOMA-Enhanced D2D Communications with Energy Harvesting

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Na Su ◽  
Qi Zhu ◽  
Ying Wang
Keyword(s):  
Energy Harvesting ◽  
Control Algorithm ◽  
Channel Allocation ◽  
Training Dataset ◽  
D2d Communications ◽  
Resource Allocation Algorithm ◽  
The Neural Network ◽  
Power Control Algorithm ◽  
Total Capacity

In this work, we propose a channel allocation and power control algorithm for energy harvesting (EH) device-to-device (D2D) communication based on nonorthogonal multiple access (NOMA). The algorithm considers users’ quality of service (QoS) and energy causality constraint to maximize the total capacity of D2D groups. The optimal offline allocation of channel and power is realized firstly. Then, the offline optimization results are taken as the training dataset to train the neural network to obtain the optimal model of the transmission power. The online power allocation optimization algorithm is further proposed. Simulation results show that the offline algorithm can improve the total capacity of D2D groups, and the performance of the online algorithm is close to the offline algorithm.

scholarly journals Resource Allocation for Downlink Full-Duplex Cooperative NOMA-Based Cellular System with Imperfect SI Cancellation and Underlaying D2D Communications

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2768
Author(s):  
Asmaa Amer ◽  
Abdel-Mehsen Ahmad ◽  
Sahar Hoteit
Keyword(s):  
Resource Allocation ◽  
Channel Assignment ◽  
Interference Cancellation ◽  
Channel Allocation ◽  
Base Station ◽  
Cellular System ◽  
Full Duplex ◽  
D2d Communications ◽  
Power Budget

In this paper, the interplay between non-orthogonal multiple access (NOMA), device-to-device (D2D) communication, full-duplex (FD) technology, and cooperation networks is proposed, and a resource allocation problem is investigated. Specifically, a downlink FD cooperative NOMA-based cellular system with underlaying D2D communications is proposed, where, in each NOMA group, the strong user assists the weak user as an FD relay with imperfect self interference (SI) cancellation. In terms of reaping spectral efficiency benefits, the system sum rate is to be maximized by optimizing channel allocation. This optimization is based on quality of service (QoS) constraints of D2D pairs and cellular users (CUs), power budget of base station and strong user (cooperative phase), and successive interference cancellation (SIC) constraints. Since the maximization formulated problem is computationally challenging to be addressed, a two-sided stable many-to-one matching algorithm, based on Pareto improvement, performs sub-channel assignment. Extensive simulations are implemented to demonstrate the system performance indicated by different metrics.

Distributed Energy Efficient Channel Allocation in Underlay Multicast D2D Communications

2020 ◽  
pp. 1-1
Author(s):  
Mariem Hmila ◽  
Manuel Fernandez-Veiga ◽  
Miguel Rodriguez Perez ◽  
Sergio Herreria-Alonso
Keyword(s):  
Energy Efficient ◽  
Channel Allocation ◽  
D2d Communications ◽  
Distributed Energy

Throughput Enhancement for SATCOM Systems Using Dynamic Spectrum Controlled Channel Allocation under Variable Propagation Conditions

2017 ◽  
Vol E100.B (2) ◽  
pp. 390-399
Author(s):  
Katsuya NAKAHIRA ◽  
Jun MASHINO ◽  
Jun-ichi ABE ◽  
Daisuke MURAYAMA ◽  
Tadao NAKAGAWA ◽  
...  
Keyword(s):  
Channel Allocation ◽  
Dynamic Spectrum ◽  
Throughput Enhancement
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