Closed-form optimality characterization of network-assisted device-to-device communications

Shalmashi, Serveh; Björnson, Emil; Slimane, Slimane Ben; Debbah, Mérouane

doi:10.1109/wcnc.2014.6952080

Cited by 12 publications

(23 citation statements)

References 10 publications

(16 reference statements)

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“…The same result happens if the time allocation is fixed regardless of the network parameters. A similar circular-like mode selection approach is used in [9], where the time frame is equally divided between the uplink and the downlink transmissions and the power consumption is minimized. D2D optimality area when minimizing the mobile user energy consumption.…”

Section: Analysis and Geometrical Interpretationmentioning

confidence: 99%

“…A joint mode selection and resource allocation problem in a multicell scenario is presented in [8] and shown to be NP-Hard. In [9], the authors address the mode selection problem of a single pair of mobile users with two dual performance objectives: to maximize the quality-of-service (QoS) for a given transmit power, and to minimize the power for a given QoS. The latter formulation has later been extended to the multiple link case in OFDMA-based networks [10], but the multi-link formulation has high computational complexity and was solved using heuristic approaches.…”

Section: Introductionmentioning

confidence: 99%

“…A joint mode selection and resource allocation problem in a multicell scenario is presented in [8] and shown to be NP-Hard. In [9], the authors address the mode selection problem of …”

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confidence: 99%

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Mode selection for energy efficient D2D communications in dynamic TDD systems

Penda

Johansson

2015

2015 IEEE International Conference on Communications (ICC)

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Abstract-Network-assisted Device-to-Device (D2D) communication is a promising technology for improving the performance of proximity-based services. This paper demonstrates how D2D communication can be used to improve the energy-efficiency of cellular networks, leading to a greener system operation and a prolonged battery life of the mobile devices. Assuming a flexible TDD system, we develop optimal mode selection policies for minimizing the energy cost (either from the system or from the device perspective) while guaranteeing a certain rate requirement. The jointly optimal transmit power and time allocation, as well as the optimal mode selection, is found by solving a small convex optimization problem. Special attention is given to the geometrical interpretation of the obtained results. We show that when network energy is the primary concern, D2D mode is preferable in a large portion of the cell. When the device energy consumption is most important, on the other hand, the area where D2D mode is preferable shrinks and becomes close to circular. Finally, we investigate how network parameters affect the range where direct communication is preferred.Index Terms-Network-assisted Device-to-Device, Mode Selection, TDD-LTE, Energy Efficient Communications I. INTRODUCTION During the last decade, the number of mobile subscribers and their traffic demand has increased tremendously, resulting in a larger energy consumption for cellular networks. Furthermore, the battery lifetime of mobile devices has been reduced considerably. Network-assisted Device-to-Device (D2D) communication is a promising technology to improve energy efficiency in future wireless networks: when mobile users in proximity to each other need to exchange data at high rate (e.g. media sharing, gaming, and other proximity-based services [1,2]), direct communication can potentially offload the BS and improve throughput, delay and energy consumption [3,4].A natural question in the context of D2D communication is under which condition two users should communicate through a direct link rather than via the BS. We call this problem the mode selection problem. The optimal mode selection naturally depends on the performance measure that we would like to optimize. For example, the authors in [5] select the transmission mode to maximize user rate in both single-cell and multiple-cell scenarios, while satisfying SINR constraints on active cellular links. In [6] and [7], the authors focus on maximizing the power-efficiency of the network. A joint mode selection and resource allocation problem in a multicell scenario is presented in [8] and shown to be NP-Hard. In [9], the authors address the mode selection problem of

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Section: Analysis and Geometrical Interpretationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mode selection for energy efficient D2D communications in dynamic TDD systems

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Johansson

2015

2015 IEEE International Conference on Communications (ICC)

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“…In [6], the authors focus on maximizing the power-efficiency of the network. Maximizing the quality-of-service (QoS) for a given transmit power (and the dual problem of minimizing the power for a given QoS) was considered in [7]. To realize the full potential of D2D communications, the mode selection should be done jointly with the radio resource allocation.…”

Section: Arxiv:150600412v1 [Csit] 1 Jun 2015mentioning

confidence: 99%

Energy Efficient D2D Communications in Dynamic TDD Systems

Penda

Johansson

2017

IEEE Trans. Commun.

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Network-assisted device-to-device communication is a promising technology for improving the performance of proximity-based services. This paper demonstrates how the integration of device-todevice communications and dynamic time-division duplex can improve the energy efficiency of future cellular networks, leading to a greener system operation and a prolonged battery lifetime of mobile devices. We jointly optimize the mode selection, transmission period and power allocation to minimize the energy consumption (from both a system and a device perspective) while satisfying a certain rate requirement. The radio resource management problems are formulated as mixed-integer nonlinear programming problems. Although they are known to be NP-hard in general, we exploit the problem structure to design efficient algorithms that optimally solve several problem cases. For the remaining cases, a heuristic algorithm that computes near-optimal solutions while respecting practical constraints on execution times and signaling overhead is also proposed. Simulation results confirm that the combination of device-to-device and flexible time-division-duplex technologies can significantly enhance spectrumand energy-efficiency of next generation cellular systems.

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“…The more relevant works to our setup are [21,22]. The former investigates the mode selection problem in the uplink of a network with potentially many antennas at the BS.…”

Section: Related Workmentioning

confidence: 99%

Energy efficiency and sum rate tradeoffs for massive MIMO systems with underlaid device-to-device communications

Shalmashi¹,

Björnson²,

Kountouris³

et al. 2016

J Wireless Com Network

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In this paper, we investigate the coexistence of two technologies that have been put forward for the fifth generation (5G) of cellular networks, namely, network-assisted device-to-device (D2D) communications and massive MIMO (multiple-input multiple-output). Potential benefits of both technologies are known individually, but the tradeoffs resulting from their coexistence have not been adequately addressed. To this end, we assume that D2D users reuse the downlink resources of cellular networks in an underlay fashion. In addition, multiple antennas at the BS are used in order to obtain precoding gains and simultaneously support multiple cellular users using multiuser or massive MIMO technique. Two metrics are considered, namely the average sum rate (ASR) and energy efficiency (EE). We derive tractable and directly computable expressions and study the tradeoffs between the ASR and EE as functions of the number of BS antennas, the number of cellular users and the density of D2D users within a given coverage area. Our results show that both the ASR and EE behave differently in scenarios with low and high density of D2D users, and that coexistence of underlay D2D communications and massive MIMO is mainly beneficial in low densities of D2D users.

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Closed-form optimality characterization of network-assisted device-to-device communications

Cited by 12 publications

References 10 publications

Mode selection for energy efficient D2D communications in dynamic TDD systems

Mode selection for energy efficient D2D communications in dynamic TDD systems

Energy Efficient D2D Communications in Dynamic TDD Systems

Energy efficiency and sum rate tradeoffs for massive MIMO systems with underlaid device-to-device communications

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