A Novel Distributed Adaptive Channel Allocation Algorithm in Mesh WLAN Network and Its Routing QoS

2012 ◽  
Vol 7 (8) ◽  
pp. 228-237
Author(s):  
Yan Weiguang ◽  
Chen Zhigang ◽  
Qi Huamei
Keyword(s):  
Channel Allocation ◽  
Allocation Algorithm

A Simple Distributed Channel Allocation Algorithm for D2D Communication Pairs

2018 ◽  
Vol 67 (11) ◽  
pp. 10960-10969 ◽  
Author(s):  
Haitao Zhao ◽  
Kaiqi Ding ◽  
Nurul I Sarkar ◽  
Jibo Wei ◽  
Jun Xiong
Keyword(s):  
Channel Allocation ◽  
D2d Communication ◽  
Allocation Algorithm ◽  
Distributed Channel Allocation

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.

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