Organizing Hope

Ericsson, Daniel; Kostera, Monika

doi:10.4337/9781788979443

Cited by 11 publications

(11 citation statements)

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“…Data traffic exchanged through cellular networks has increased drastically over the recent years. According to Ericsson mobility report [1], mobile data traffic grows 82 percent between the first quarter in 2018 and the first quarter in 2019, and it is expected that the mobile data will grow 30 percent annually until 2024. In addition, the proportion taken by video traffic is also expected to increase.…”

Section: Introductionmentioning

confidence: 99%

Association Game for Conflict Resolution between UEs and Small Cells

Park

2020

Wireless Communications and Mobile Computing

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Small cells are expected to increase the capacity and the coverage of a wireless network. Since the transmission ranges of the small cells overlap with each other, a user equipment (UE) can be located within the service areas of multiple cells. Therefore, the association decisions made by the small cells and the UEs influence the energy efficiency of the cells and the data rates provided to the UEs. However, if they attempt to achieve their goals selfishly, the network may become instable in that a UE has to change its associated cell and a cell has to change the set of UEs associated with it frequently. To tackle the problem, in this paper, we propose an association game between UEs and cells. We cast the problem as a matching game where each player has preference over the other player. Then, we propose an association algorithm composed of a UE-side part and a cell-side part. Through simulation studies, we show that the proposed method outperforms the other methods in that it can enhance the average energy efficiency of the small cell network and the data rates that UEs can obtain from the network.

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Section: Introductionmentioning

confidence: 99%

Association Game for Conflict Resolution between UEs and Small Cells

Park

2020

Wireless Communications and Mobile Computing

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“…Therefore, it is not surprising that the monthly mobile traffic attained 38 Exabytes in 2019. Moreover, this traffic is expected to reach 160 Exabytes per month by 2025 [2,3]. This scenario results in new challenges to develop efficient and robust wireless communications networks, which should provide enhanced mobile broadband (eMBB) and ultra-reliable and low latency communications (URLLC).…”

Section: Palavras-chavementioning

confidence: 99%

“…For this work, we consider that the symbols are uncorrelated with zero mean and covariance matrix equal to R ss = σ 2 s I. 2 The BS employs preprocessing techniques to enhance the transmission of the data. These techniques transform the vector of symbols s into the transmit vector x ∈ C Nt .…”

Section: System Modelmentioning

confidence: 99%

“…. The matrixV (0),k contains the last N t −L k zero singular values, thus forming an orthogonal basis for the null space ofH k and satisfying (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17). It follows that the first precoder is given by…”

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confidence: 99%