Energy-Efficient Power Control and Clustering in Underlay Device to Multi-device Communications

Hmila, Mariem; Fernández‐Veiga, Manuel

doi:10.1007/978-3-319-61382-6_16

Cited by 6 publications

(4 citation statements)

References 14 publications

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“…Observing Table I, clearly the main objectives are either to maximize the sum-throughput or the system capacity, with just a single work investigating EE for D2MD communications. In our previous work [16], we found that, when the aggregate interference is well controlled, a channel can hold up to a few tens of D2MD groups. In such case, the sum-throughput continuously increases as the number of users grows, whereas both the system and the individual EE decrease significantly.…”

Section: B Contributionsmentioning

confidence: 91%

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Energy Efficient Power and Channel Allocation in Underlay Device to Multi Device Communications

Hmila

Fernández‐Veiga

Rodríguez‐Pérez

et al. 2019

IEEE Trans. Commun.

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In this paper, we optimize the energy efficiency (bits/s/Hz/J) of device-to-multi-device (D2MD) wireless communications. While the device-to-device scenario has been extensively studied to improve the spectral efficiency in cellular networks, the use of multicast communications opens the possibility of reusing the spectrum resources also inside the groups. The optimization problem is formulated as a mixed integer non-linear joint optimization for the power control and allocation of resource blocks (RBs) to each group. Our model explicitly considers resource sharing by letting co-channel transmission over a RB (up to a maximum of r transmitters) and/or transmission through s different channels in each group. We use an iterative decomposition approach, using first matching theory to find a stable even if sub-optimal channel allocation, to then optimize the transmission power vectors in each group via fractional programming. Additionally, within this framework, both the network energy efficiency and the max-min individual energy efficiency are investigated. We characterize numerically the energy-efficient capacity region, and our results show that the normalized energy efficiency is nearly optimal (above 90 percent of the network capacity) for a wide range of minimum-rate constraints. This performance is better than that of other matching-based techniques previously proposed.

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Section: B Contributionsmentioning

confidence: 91%

“…This is not a problem for the power control algorithm as it is able to find the optimal values. For more details we refer the reader to [16].…”

Section: Stabilitymentioning

confidence: 99%

Energy Efficient Power and Channel Allocation in Underlay Device to Multi Device Communications

Hmila

Fernández‐Veiga

Rodríguez‐Pérez

et al. 2019

IEEE Trans. Commun.

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“…However, whereas KNN permits to form homogeneous (equal sized) groups, DL defines the group area as a disk around the group transmitter, so it allows us to consider groups of different sizes, including unicast transmissions as a special case. Based on previous results [ 39 ], we remark that the clustering technique (i.e., using KNN or DL) usually has little impact on the individual or aggregate behavior [ 39 ]. Therefore, we mostly present our results for only one of the algorithms, with similar conclusions being valid for the other one.…”

Section: Numerical Resultsmentioning

confidence: 99%

Non-Orthogonal Multiple Access for Unicast and Multicast D2D: Channel Assignment, Power Allocation and Energy Efficiency

Hmila

Fernández‐Veiga

Rodríguez-Pérez

et al. 2021

Sensors

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Non-orthogonal multiple access (NOMA) techniques have emerged in the past years as a solution to approximate the throughput performance of wireless communications systems to their theoretical capacity region. We consider in this paper an optimization-based model for multicast device-to-device (MD2D) communications where the channels are not orthogonal and may be (partially or fully) shared among the transmitters in each cluster. This setting leads naturally to the introduction of NOMA transmitters and receivers who use successive interference cancellation (SIC) to separate the superposed signals. To analyze the role of NOMA in MD2D, its performance impact, potential performance gains and possible shortcomings, we formulate a model that includes SIC operations in the decoders, so that higher rates can be attained when several sources transmit on the same channel(s). We also investigate the energy efficiency of the network (global and max-min) through a dynamic power control algorithm and present a centralized and a semi-distributed solution to these optimization problems. Through numerical simulations, we show that NOMA is able to improve both the sum-rate and the max-min rate of a MD2D network even from a small degree of resource sharing. Furthermore, these gains also improve the global energy efficiency on the network, but not always the max-min energy efficiency of the devices.

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“…Li et al [26] optimised both CU and D2D powers in uplink but did not reuse the channel among multiple D2D pairs. In [27], an uplink channel is shared among multiple D2D pairs while optimising both CU and D2D powers but did not consider the channel assignment.…”

Section: Related Workmentioning

confidence: 99%

Cluster oriented resource allocation and power optimisation for D2D network in cellular communications

Gour

Tyagi

2020

IET Networks

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This work proposes a cluster oriented channel assignment and difference of two convex functions (d.c.) programming based power optimisation algorithm for the downlink device-to-device (D2D) communication underlaying cellular networks. The authors' objective is to maximise D2D throughput while protecting the performance of existing cellular users (CUs) whose channel is reused among multiple D2D pairs, by imposing a minimum rate requirement constraint on each CU. The joint channel and power optimisation problem is a mixed integer non-linear programming problem that is NP-hard to solve. Therefore, a three stage solution is proposed: cluster formation to minimise the interference among the D2D pairs followed by an optimal channel assignment using the Hungarian algorithm and then an iterative power optimisation algorithm based on d.c. programming. Moreover, the transmission power of base station and D2D users is optimised on the same channel while considering the mutual interference among D2D pairs. Numerical results verify the effectiveness of the proposed resource allocation scheme in terms of the D2D sum rate and the number of successful transmission of D2D users. Moreover, the iterative power optimisation algorithm shows a fast convergence behaviour. In addition to this, the energy efficiency is also analysed with respect to various parameters.

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Energy-Efficient Power Control and Clustering in Underlay Device to Multi-device Communications

Cited by 6 publications

References 14 publications

Energy Efficient Power and Channel Allocation in Underlay Device to Multi Device Communications

Energy Efficient Power and Channel Allocation in Underlay Device to Multi Device Communications

Non-Orthogonal Multiple Access for Unicast and Multicast D2D: Channel Assignment, Power Allocation and Energy Efficiency

Cluster oriented resource allocation and power optimisation for D2D network in cellular communications

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