A Joint Power and Channel Scheduling Scheme for Underlay D2D Communications in the Cellular Network
Device-to-device (D2D) communication, as one of the promising candidates for the fifth generation mobile network, can afford effective service of new mobile applications and business models. In this paper, we study the resource management strategies for D2D communication underlying the cellular netw...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/21/4799 |
| _version_ | 1811262501185126400 |
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| author | Zefang Lin Hui Song Daru Pan |
| author_facet | Zefang Lin Hui Song Daru Pan |
| author_sort | Zefang Lin |
| collection | DOAJ |
| description | Device-to-device (D2D) communication, as one of the promising candidates for the fifth generation mobile network, can afford effective service of new mobile applications and business models. In this paper, we study the resource management strategies for D2D communication underlying the cellular networks. To cater for green communications, our design goal is to the maximize ergodic energy efficiency (EE) of all D2D links taking into account the fact that it may be tricky for the base station (BS) to receive all the real-time channel state information (CSI) while guaranteeing the stability and the power requirements for D2D links. We formulate the optimization problem which is difficult to resolve directly because of its non-convex nature. Then a novel maximum weighted ergodic energy efficiency (MWEEE) algorithm is proposed to solve the formulated optimization problem which consists of two sub-problems: the power control (PC) sub-problem which can be solved by employing convex optimization theory for both cellular user equipment (CUE) and D2D user equipment (DUE) and the channel allocation (CA) sub-problem which can be solved by obtaining the weighted allocation matrix. In particular, we shed light into the impact on EE metric of D2D communication by revealing the nonlinear power relationship between CUE and DUE and taking the QoS of CUEs into account. Furthermore, simulation results show that our proposed algorithm is superior to the existing algorithms. |
| first_indexed | 2024-04-12T19:26:38Z |
| format | Article |
| id | doaj.art-bd60e21eb48c4a398bfa4b4c86d04c19 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-12T19:26:38Z |
| publishDate | 2019-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-bd60e21eb48c4a398bfa4b4c86d04c192022-12-22T03:19:28ZengMDPI AGSensors1424-82202019-11-011921479910.3390/s19214799s19214799A Joint Power and Channel Scheduling Scheme for Underlay D2D Communications in the Cellular NetworkZefang Lin0Hui Song1Daru Pan2School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510631, ChinaSchool of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510631, ChinaSchool of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510631, ChinaDevice-to-device (D2D) communication, as one of the promising candidates for the fifth generation mobile network, can afford effective service of new mobile applications and business models. In this paper, we study the resource management strategies for D2D communication underlying the cellular networks. To cater for green communications, our design goal is to the maximize ergodic energy efficiency (EE) of all D2D links taking into account the fact that it may be tricky for the base station (BS) to receive all the real-time channel state information (CSI) while guaranteeing the stability and the power requirements for D2D links. We formulate the optimization problem which is difficult to resolve directly because of its non-convex nature. Then a novel maximum weighted ergodic energy efficiency (MWEEE) algorithm is proposed to solve the formulated optimization problem which consists of two sub-problems: the power control (PC) sub-problem which can be solved by employing convex optimization theory for both cellular user equipment (CUE) and D2D user equipment (DUE) and the channel allocation (CA) sub-problem which can be solved by obtaining the weighted allocation matrix. In particular, we shed light into the impact on EE metric of D2D communication by revealing the nonlinear power relationship between CUE and DUE and taking the QoS of CUEs into account. Furthermore, simulation results show that our proposed algorithm is superior to the existing algorithms.https://www.mdpi.com/1424-8220/19/21/4799d2d communicationsenergy efficiencypower controlresource blocks allocationcellular network |
| spellingShingle | Zefang Lin Hui Song Daru Pan A Joint Power and Channel Scheduling Scheme for Underlay D2D Communications in the Cellular Network Sensors d2d communications energy efficiency power control resource blocks allocation cellular network |
| title | A Joint Power and Channel Scheduling Scheme for Underlay D2D Communications in the Cellular Network |
| title_full | A Joint Power and Channel Scheduling Scheme for Underlay D2D Communications in the Cellular Network |
| title_fullStr | A Joint Power and Channel Scheduling Scheme for Underlay D2D Communications in the Cellular Network |
| title_full_unstemmed | A Joint Power and Channel Scheduling Scheme for Underlay D2D Communications in the Cellular Network |
| title_short | A Joint Power and Channel Scheduling Scheme for Underlay D2D Communications in the Cellular Network |
| title_sort | joint power and channel scheduling scheme for underlay d2d communications in the cellular network |
| topic | d2d communications energy efficiency power control resource blocks allocation cellular network |
| url | https://www.mdpi.com/1424-8220/19/21/4799 |
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