Resource allocation schemes for D2D communications

Zhao, Yuxin; Pelletier, Benoît; Pani, Diana

doi:10.1109/lisat.2014.6845229

Cited by 5 publications

(3 citation statements)

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“…In this part, the optimization factors include link budget, system utility, interference, delay, QoS, revenues, etc. In [24], the authors proposed a centralized resource allocation technique that focuses on enhancing the link budget gains and thus size of BS coverage. In [25], the authors come up with two algorithms of resource allocation for D2D communications to minimize the consumption of cellular resources in vehicular ad hoc networks (VANETs).…”

Section: Miscellaneousmentioning

confidence: 99%

“…It usually entails the access to full control of the system on the BS's behalf; therefore it is not very efficient as extra control messages are needed. In a few papers [6,12,24,33], the authors proposed centralized resource allocation schemes.…”

Section: Centralized/distributed Implementationmentioning

confidence: 99%

“…In [24], a D2D voice broadcast model was discussed. The authors then propose a centralized heuristic approach to allocate RBs properly.…”

Section: Centralized/distributed Implementationmentioning

confidence: 99%

See 2 more Smart Citations

Resource allocation for energy harvesting assisted D2D communications underlaying OFDMA cellular networks

Yu¹,

Guan²

2022

Preprint

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D2D communications underlaying cellular networks has become very popular recently. Inter- ference between cellular users and D2D users is one of the tricky issues we need to solve. Another challenging issue is limited battery lives. In this thesis, we address these two issues together by introducing an energy harvesting (EH) assisted D2D model where the whole transmission process is divided into multiple time slots. At the beginning of every time slot, each D2D user will update the remaining energy level to the base station (BS) and the BS will then decide whether the D2D user should harvest energy or transmit data. The objective is to maximize sum throughput for all D2D users. To solve the problem, we first adopt the NOMAD algorithm, then propose a heuristic algorithm as sub-optimal solution. Numerical results show that our proposed algorithm can achieve almost the same sum throughput at a significantly smaller time cost.

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Section: Miscellaneousmentioning

confidence: 99%