Abstract:Abstract-We investigate the energy harvesting (EH) potential of an outdoor millimeter-wave (mmWave) network aided by wirelessly powered relays (WRs). Due to the effect of propagation characteristics, such as blockages, WRs can assist the coverage in mmWave networks. In this paper, we consider the WRs to be equipped with battery units that can store ambient RF energy from the mmWave sources. The sources and the WRs are modeled as independent homogeneous Poisson point processes (PPPs). Leveraging tools from stoc… Show more
“…are given by (9) and 10, respectively. Now, introducing several auxiliary variables and applying the S-procedure [39] lemma, the problem for the MISO case can be expressed as (28), detailed steps of which are included in Appendix A. In 28 (42) and (43) in Appendix A respectively.…”
Section: A Fd Miso System With Imperfect Csimentioning
confidence: 99%
“…Analysis of the battery dynamics is beyond the scope of this paper. Interested readers can refer to[28],[29] for details on battery modelling.…”
In this paper, we investigate the energy harvesting (EH) technique and accordingly design transceivers for a K link multiple-input multiple-output (MIMO) interference channel. Each link consists of two full-duplex (FD) internet of things (IoT) nodes exchanging information simultaneously in a bi-directional communication channel. All the nodes suffer from interference, in particular strong self-interference and inter-node interference, due to operating in FD mode and simultaneous transmission at each link, respectively. Further, we divide the received signal at each node into two parts. While one part of the signal is used for information decoding, the other part is used for EH. We jointly design the transmit and receive beamforming vectors and receiver power splitting ratios by minimizing the total transmission power of the system, subject to both signal-to-interference-plus-noise ratio (SINR) and EH threshold constraints. Furthermore, the case of multiple-input single-output (MISO) interference channel is also included for the sake of comparison. We also revisit the above problems for the case when the available channel state information (CSI) at the transmitters is imperfect, where the errors of the CSI are assumed to be norm bounded. Simulation results show that the EH technique can harvest enough energy to support power consumption limited IoT devices by aiding in recharging their respective batteries.
“…are given by (9) and 10, respectively. Now, introducing several auxiliary variables and applying the S-procedure [39] lemma, the problem for the MISO case can be expressed as (28), detailed steps of which are included in Appendix A. In 28 (42) and (43) in Appendix A respectively.…”
Section: A Fd Miso System With Imperfect Csimentioning
confidence: 99%
“…Analysis of the battery dynamics is beyond the scope of this paper. Interested readers can refer to[28],[29] for details on battery modelling.…”
In this paper, we investigate the energy harvesting (EH) technique and accordingly design transceivers for a K link multiple-input multiple-output (MIMO) interference channel. Each link consists of two full-duplex (FD) internet of things (IoT) nodes exchanging information simultaneously in a bi-directional communication channel. All the nodes suffer from interference, in particular strong self-interference and inter-node interference, due to operating in FD mode and simultaneous transmission at each link, respectively. Further, we divide the received signal at each node into two parts. While one part of the signal is used for information decoding, the other part is used for EH. We jointly design the transmit and receive beamforming vectors and receiver power splitting ratios by minimizing the total transmission power of the system, subject to both signal-to-interference-plus-noise ratio (SINR) and EH threshold constraints. Furthermore, the case of multiple-input single-output (MISO) interference channel is also included for the sake of comparison. We also revisit the above problems for the case when the available channel state information (CSI) at the transmitters is imperfect, where the errors of the CSI are assumed to be norm bounded. Simulation results show that the EH technique can harvest enough energy to support power consumption limited IoT devices by aiding in recharging their respective batteries.
“…The performance of relay-aided mmWave massive MIMO system was analyzed in [27]. In the similar system, [28] investigated the energy-harvesting potential of mmWave based on the stochastic geometry theory. All works in [23]- [28] express that mmWave can be utilized for WPT, but it must be combined with multiple antennas.…”
Section: Introductionmentioning
confidence: 99%
“…In the similar system, [28] investigated the energy-harvesting potential of mmWave based on the stochastic geometry theory. All works in [23]- [28] express that mmWave can be utilized for WPT, but it must be combined with multiple antennas. Besides, the WPT through mmWave is more susceptible to environmental effects, such as the obstruction and rain attenuation.…”
Section: Introductionmentioning
confidence: 99%
“…Although the existing researches have promoted the development of SWIPT, there are still some open issues remained to be tackled. Firstly, all researches in [9]- [21], [23]- [28] only focus on the single-band system. However, as indicated in the 5G white paper on technology architecture [29], all-spectrum access involving LF and HF bands has been recommended as one of the 5G key technologies.…”
Simultaneous wireless information and power transfer (SWIPT) technique offers a potential solution to ease the contradiction between high data rate and long standby time in the fifth generation (5G) mobile communication systems. In this paper, we focus on the SWIPT network design and optimization with 5G new frequencies. To design an efficient SWIPT network, we first investigate the propagation properties of 5G low-frequency (LF) and high-frequency (HF) channels. Specifically, a measurement campaign focusing on 3.5 GHz and 28 GHz is conducted in both outdoor and outdoor-to-indoor scenarios. Motivated by the measurement results, we design a dual-band SWIPT network, where the HF band is used for short-distance information delivery, while the LF band is used for short-distance energy transfer and long-distance information delivery. The designed network has a win-win architecture that can enhance the throughput of cell-edge users and improve the energy-harvesting efficiency of cell-center users. To further boost the network performance, we devise a joint power-and-channel allocation algorithm, which has the advantages of low complexity and fast convergence. Finally, simulation results demonstrate that the designed dual-band network outperforms the conventional single-band network in terms of energy-harvesting efficiency and user fairness, and the proposed algorithm can further upgrade the network performance significantly. Index Terms-Simultaneous wireless information and power transfer, 5G new frequency, channel measurement, network design, resource allocation.
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