Hierarchical power allocation algorithm for D2D‐based cellular networks with heterogeneous statistical quality‐of‐service constraints

Liu, Yuanfei; Wang, Ying; Sun, Ruijin; Zhang, Miao

doi:10.1049/iet-com.2017.0488

Cited by 5 publications

(3 citation statements)

References 32 publications

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“…In [15], Ban et al consider a cellular-aided inband overlay D2D network to avoid the co-channel interference between cellular users and D2D users. Some papers investigate the game-theoretic resource allocation in D2D-assisted small cell networks with spectrum underlay access, where interference constraints are imposed to protect the QoS requirements of small cell users [16], [17]. Maghsudi et al propose a channel and power allocation method based on graph theory and game theory in the case of incomplete channel information [16].…”

Section: A Related Workmentioning

confidence: 99%

“…Maghsudi et al propose a channel and power allocation method based on graph theory and game theory in the case of incomplete channel information [16]. In [17], a hierarchical game-based power allocation scheme with heterogeneous statistical QoS constraints is proposed in D2D-assisted cellular networks. In addition, many resource allocation methods based on convex optimization also have been proposed.…”

Section: A Related Workmentioning

confidence: 99%

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Distributed Resource Allocation for D2D-Assisted Small Cell Networks With Heterogeneous Spectrum

et al. 2019

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Device-to-device (D2D) communication with increased spectral efficiency and reduced communication delay has undoubtedly become a general trend in future wireless networks. However, when D2D communication is incorporated into small cell networks (SCNs) with large number of randomly overlapped small cells, the co-channel interference between small cell users (SUEs) and D2D users is an inevitable challenge, especially with the heterogeneous spectrum, i.e., licensed spectrum bands and unlicensed spectrum bands. In this paper, we study the downlink channel allocation in D2D-assisted small cell networks with heterogeneous spectrum bands. By taking the required data rate of users and the interference constraint of SUEs into account, we formulate a channel allocation problem integrating channel selection and channel sharing to maximize the network utility, which is the service satisfaction of all users. To derive the solution, we decompose the optimization problem into two games: a potential game and a coalition game. Then, a potential game-based scheme using an interference graph and a coalition scheme with D2D user transferring is proposed to solve these two games, respectively. Based on these schemes, a two-stage distributed channel allocation algorithm is proposed and can converge with low computational complexity. Moreover, the simulation results reveal that the proposed algorithm could achieve high system throughput and network utility.

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Section: A Related Workmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

Distributed Resource Allocation for D2D-Assisted Small Cell Networks With Heterogeneous Spectrum

et al. 2019

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“…The total number of subchannels is M , which could be shared by all users for channel allocation. Assuming that all the subchannels are block fading, and channel gains are independent identically distributed, that is, there is no correlation at subchannel gains in different time slot [34].…”

Section: A System Modelmentioning

confidence: 99%

Energy Efficient Downlink Resource Allocation for D2D-Assisted Cellular Networks With Mobile Edge Caching

et al. 2019

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In this paper, a downlink device-to-device (D2D)-assisted cellular networks with mobile edge caching, where most popular video files are independently cached in D2D users and cellular base station (BS), are studied. In the considered system model, each user may obtain the requested video from the cache of BS or/and D2D users surrounding them. According to the different collaborative schemes of BS caching and D2D caching, it can be divided into two different resource allocation schemes. In the hybrid caching transmission scheme, users could adopt the BS caching mode or alternatively the D2D caching mode. In the joint caching transmission scheme, each user may obtain the requested files from the BS server and the adjacent D2D users, simultaneously. By taking the required data rate and the interference constraint into account, we formulate two joint resource allocation problems integrating link selection, channel allocation, and power control to maximize the system energy efficiency (EE). Leveraging on the Dinkelbach method, the EE optimization problems are transformed into mixed-integer nonlinear programming problems and can be decomposed into three subproblems: link selection, channel allocation, and power control. To solve these complicated problems, we propose two optimization algorithms that consist of a modified branch and bound method as well as Lagrange dual decomposition approach. The simulation results demonstrate the superiority of these two proposed algorithms in improving system throughput and EE compared with other algorithms.

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Optimal routing and one hop routing for D2D communications in the presence of mutual interference

Halima

Boujemâa

2018

Telecommun Syst

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Hierarchical power allocation algorithm for D2D‐based cellular networks with heterogeneous statistical quality‐of‐service constraints

Cited by 5 publications

References 32 publications

Distributed Resource Allocation for D2D-Assisted Small Cell Networks With Heterogeneous Spectrum

Distributed Resource Allocation for D2D-Assisted Small Cell Networks With Heterogeneous Spectrum

Energy Efficient Downlink Resource Allocation for D2D-Assisted Cellular Networks With Mobile Edge Caching

Optimal routing and one hop routing for D2D communications in the presence of mutual interference

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