Power Control and Channel Allocation Algorithm for Energy Harvesting D2D Communications

Abstract

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.

Performance Analysis of Resource Allocation Techniques for Power Control in Device-to-Device Cellular Systems

“…The power of transmission of the eNB singular macrocell deployed transmitter with respect to the frame transmission time is given as 𝑃 𝑇𝑚(𝑡 𝑖 ) and can be varied or amended at a subsequent time of transmission frame, which will in turn bring about a new power value of transmission as 𝑃 𝑇𝑚(𝑡 𝑖 +1) , where 𝛾 is a factor of the transmitter power controlled technique which may vary with respect to the frame next transmission process, depending on the calculated parameter of the instantaneous time of the parameters which includes; 𝑆𝐼𝑁𝑅(𝑆𝐼𝑁𝑅 𝑒𝑠𝑡 )(𝑡 𝑖 )𝑆𝐼𝑁𝑅 𝑒𝑠𝑡 (𝑡 𝑖 )when considered inconsonant with a set of previously obtained 𝑆𝐼𝑁𝑅 𝑡𝑟 parameters. Where 𝐾 parameter is adopted to showcase the possibility of obtaining the element of 𝛾which can add or reduce the power transmission or if the same power of transmission will be achieved in the coming or subsequent transmission frame time as observed by [41]. The general expression of 𝑃 𝑇𝑚(𝑡 𝑖 +1) is given as; 𝑃 𝑇𝑚(𝑡 𝑖 +1) = 𝑃 𝑇𝑚(𝑡 𝑖 ) + 𝐾 * 𝛾 (10) 𝐾 parameter can be achieved with respect to the 𝑆𝐼𝑁𝑅 𝑡𝑟 .There is a possibility of three conditions for 𝑆𝐼𝑁𝑅 𝑒𝑠𝑡 (𝑡 𝑖 )as observed by [40], with particular emphasis on the following conditions, such that if 𝑆𝐼𝑁𝑅 𝑒𝑠𝑡 is smaller than 𝑆𝐼𝑁𝑅 𝑡𝑟 ,it therefore means that K will have a positive value.…”

Quality of Service Provisioning for D2D Users in Heterogeneous Networks

“…which is obtained by applying (1), (2), (3), (4) for (5). The very first part of (6) is the desirable signal from the D2D transmitter to the D2D receiver.…”

“…. As a result, the next-generation mobile communication networks (5G) need to deploy new technologies to deal with the afore requirements [5].…”

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

“…Users can harvest energy by wireless power transfer or from the surrounding environments. Authors in [9][10][11][12][13] investigate the resource allocation issue when D2D transmitters harvest energy by wireless power transfer. However, when the distance between the users and the power station is far, the method of wireless power transfer will lead to serious energy waste due to the path loss.…”