Green Communication in Next Generation Cellular Networks: A Survey

Gandotra, Pimmy; Jha, Rakesh Kumar; Jain, Sanjeev

doi:10.1109/access.2017.2711784

Cited by 216 publications

(126 citation statements)

References 155 publications

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“…The Device-to-Device communication is studied in [8]. The D2D communication is a strong candidate for 5G cellular networks.…”

Section: Green Communications: Techniques and Challengesmentioning

confidence: 99%

“…The selection of these techniques is based on the network requirement in terms of power control and energy consumption. In a multi-cell massive MIMO, the transmitted power is controlled by taking power constraints at the base station and spectral efficiency constraints at the user end into account [8]. The pilot contamination and scaling laws of energy efficiency are also used in multi-cell massive MIMO by considering the maximum ratio transmission and zero forcing beamforming.…”

Section: Massive Mimomentioning

confidence: 99%

“…Wireless Sensor Networks are the key element for the Internet of Things. To achieve energy efficiency, each node in Wireless Sensor Networks should be operated with controlled power consumption that is not an easy task [8]. In [26], an energy saving technique is introduced in which the data from the near nodes is collected slowly while it is acquired quickly from the far off nodes.…”

Section: Green Internet Of Thingsmentioning

confidence: 99%

“…Along with the environment, the CO 2 emissions caused by radio networks have also a drastic effect on human health [8]. The Federal Communication Commission (FCC) has set a threshold for the surface area radiations and limited the transmitted power for handheld devices to ensure safety of the human users from electromagnetic exposure.…”

Section: Introductionmentioning

confidence: 99%

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Green Communications: Techniques and Challenges

Malik¹,

Ur-Rehman²

2017

EAI Endorsed Transactions on Energy Web

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Green technology has drawn a huge amount of attention with the development of the modern world. Similarly with the development in communication technology the industries and researchers are focusing to make this communication as green as possible. In cellular technology the evolution of 5G is the next step to fulfil the user demands and it will be available to the users in 2020. This will increase the energy consumption by which will result in excess emission of co2. In this paper different techniques for the green communication technology and some challenges are discussed. These techniques include device-to-device communication (D2D), massive Multiple-Input Multiple-Output (MIMO) systems, heterogeneous networks (HetNets) and Green Internet of Things (IoT).

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“…The Device-to-Device communication is studied in [8]. The D2D communication is a strong candidate for 5G cellular networks.…”

Section: Green Communications: Techniques and Challengesmentioning

confidence: 99%

Section: Massive Mimomentioning

confidence: 99%

Section: Green Internet Of Thingsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Green Communications: Techniques and Challenges

Malik¹,

Ur-Rehman²

2017

EAI Endorsed Transactions on Energy Web

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“…By using a joint waveform, the occupied spectrum can be used efficiently and both radar and communication functions can be operated simultaneously. Due to the fact that the signal energy and frequency spectrum can be used efficiency and cognitively, the RadCom system is considered as a green communication system, which is a relatively new research discipline [1][2][3][4]. Such a RadCom system has been reported in many references [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Joint Range‐Doppler‐Angle Estimation for OFDM‐Based RadCom System via Tensor Decomposition

Kong

Wang

Deng

et al. 2018

Wireless Communications and Mobile Computing

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Radar and communication (RadCom) systems have received increasing attention due to their high energy efficiency and spectral efficiency. They have been identified as green communications. This paper is concerned with a joint estimation of range-Dopplerangle parameters for an orthogonal frequency division multiplexing (OFDM) based RadCom system. The key idea of the proposed method is to derive different factor matrices by the tensor decomposition method and then extract parameters of the targets from these factor matrices. Different from the classical tensor decomposition method via alternating least squares or higher-order singular value decomposition, we adopt a greedy based method with each step constituted by a rank-1 approximation subproblem. To avoid local extremum, the rank-1 approximation is solved by using a multiple random initialized tensor power method with a comparison procedure followed. A parameterized rectification method is also proposed to incorporate the inherent structures of the factor matrices. The proposed algorithm can estimate all the parameters simultaneously without parameter pairing requirement. The numerical experiments demonstrate superior performance of the proposed algorithm compared with the existing methods.

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