On the Deployment of Energy Sources in Wireless-Powered Cellular Networks

Tabassum, Hina; Hossain, Ekram

doi:10.1109/tcomm.2015.2451648

Cited by 37 publications

(27 citation statements)

References 26 publications

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“…In [17], the authors considered the issues on simultaneous information and energy transfer in large-scaled networks and designed a cooperative protocol with the aid of randomly distributed relays. In [18], the authors analyzed signal to noise ratio (SNR) outage probability and spectral efficiency of a user with a network configuration listed as follows. a) It receives energy from and transmits information to a full-duplex BS; b) It receives energy from symmetrically deployed PBs and transmits energy to a half-duplex BS; and c) It receives energy from and transmits information to symmetrically deployed PBs, which are generated by co-located distributed antenna elements of a BS.…”

Section: A Related Workmentioning

confidence: 99%

“…Besides, it is very difficult to take into account both energy beam forming and receiving power from multiple power providers. To reduce analysis complexity, following the ways suggested in the literatures [16,18], we only consider that a UE receives the power from its nearest power provider in this paper. The issues that a UE may receive power from multiple power providers will be investigated in our future works.…”

Section: )mentioning

confidence: 99%

“…A UE cannot allocate all harvested energy for uplink transmission because of circuit power consumption and energy storage losses in the UE. We assume that a fraction of harvested energy ζ is consumed for uplink transmission, and the same assumption was made in [18,32]. g 0u and d 0u denote the channel power fading and the distance between the UE and the BS, respectively.…”

Section: )mentioning

confidence: 99%

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Non-Uniform Deployment of Power Beacons in Wireless Powered Communication Networks

Liang

Zhao

Zheng

et al. 2019

IEEE Trans. Wireless Commun.

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In wireless powered communication networks (WPCNs), base station (BS) and power beacons (PBs) can offer supplement power for uplink transmission of user equipments (UEs). However, aggregate power consumption of massively deployed PBs may exceed that of a BS. We propose a non-uniform deployment scheme for PBs in WPCNs, where a cell is divided into inner and outer areas, such that BS and PBs can cooperate to power UEs. To be more specific, a BS located in the center of a cell provides downlink power supply for the inner area UEs and uplink information decoding for all the UEs in the cell; while the PBs power UEs in the outer area. With multiple antennas, maximum ratio transmission and maximum ratio combining are adopted for downlink energy beamforming and IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. XX, NO. XX, MONTH XX 2019 2 uplink information reception. Considering a finite area of the network, we derive the distribution of the distance from a non-center-located UE to its nearest PB in the outer area. An optimization problem is formulated to minimize total average power consumption, while satisfying BS average transmission power constraint and coverage probability threshold. Moreover, coverage probability is derived for performance evaluation. Numerical results show that the power consumption of the proposed scheme is reduced significantly compared to PB-only WPCNs. Index Terms-Wireless powered communication network; Wireless energy transfer; Non-uniform deployment.

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Section: A Related Workmentioning

confidence: 99%

Section: )mentioning

confidence: 99%

Section: )mentioning

confidence: 99%

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Non-Uniform Deployment of Power Beacons in Wireless Powered Communication Networks

Liang

Zhao

Zheng

et al. 2019

IEEE Trans. Wireless Commun.

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“…Only the down-link scenario was considered in [13], when the system consists of two types of receivers, information and EH receivers. Tabassum and Hossain [24] theoretically characterized the outage zones in wireless power systems and analyzed the performance of different configurations of the energy sources which can minimize the outage zones; In the considered system, the users harvest energy from symmetrically deployed power beacons in down link, and transmit their information signals to the base station (BS) in the uplink phase. A distributed antenna power beacon (DA-PB) was proposed in [25], in which DA-PB antennas are uniformly distributed in a cell area.…”

Section: A Related Workmentioning

confidence: 99%

Wireless Power Transfer in Distributed Antenna Systems

Salem

Musavian

Hamdi

2019

IEEE Trans. Commun.

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This paper studies the performance of wireless power transfer in distributed antenna systems (DAS). In particular, the distributed remote radio heads (RRHs), which are conventionally distributed in the network to enhance the performance, are also used to increase the energy harvesting (EH) at the energy-constrained users. Based on this idea, the network area is divided into two zones, namely: 1) EH zone and 2) interference zone. The users in the EH zones are guaranteed to harvest sufficient energy from the closed RRH, while the users in the interference zones harvest energy from the surrounding RRHs. A harvest-then-transmit protocol is adopted, where in the power transfer phase the multiple antennas RRHs broadcast energy signals to the users. In the information transmission phase, the users utilize the harvested energy to transmit their signals to the RRHs. In addition, zero-forcing is applied at the RRHs receivers, to mitigate the interference. The system spectral efficiency is evaluated in two different scenarios based on the channel state information (CSI) namely: 1) CSI is unknown at the RRHs 2) CSI is perfectly known at the RRHs. In contrast to conventional EH-muliple-input multiple-output (MIMO) systems, performance analysis of EH DAS-MIMO is a challenging problem, because the channels are characterized by non-identical pathloss and EH effects which make the classical analytical methods non-tractable. In light of this, new analytical expressions of the ergodic spectral efficiency are derived and then Monte Carlo simulations are provided to verify the accuracy of our analysis. The effects of main system parameters on the EH-DAS performance are investigated. The results show that there is an optimal value of the EH time for each users locations that maximizes the system performance. In addition, size of the EH-zone area depends on the required harvested power at the users which is dependent essentially on the target spectral efficiency.Index Terms-DAS, wireless power transfer, zero forcing, spectral efficiency, CSI.

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“…Recently, there is an interesting integration between WPT and HetNets, suggesting that stations, referred to as power beacons (PBs), can be deployed in cellular networks for powering users via WPT [2]. In [9] and [10], the optimal placement of power beacons in the cellular networks has been investigated.…”

Section: Introductionmentioning

confidence: 99%

Wireless Power Transfer in Massive MIMO-Aided HetNets With User Association

Zhu

Wang

Wong

et al. 2016

IEEE Trans. Commun.

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This paper explores the potential of wireless power transfer (WPT) in massive multiple-input multiple-output (MIMO) aided heterogeneous networks (HetNets), where massive MIMO is applied in the macrocells, and users aim to harvest as much energy as possible and reduce the uplink path loss for enhancing their information transfer. By addressing the impact of massive MIMO on the user association, we compare and analyze user association schemes: 1) downlink received signal power (DRSP) based approach for maximizing the harvested energy; and 2) uplink received signal power (URSP) based approach for minimizing the uplink path loss. We adopt the linear maximalratio transmission (MRT) beamforming for massive MIMO power transfer to recharge users. By deriving new statistical properties, we obtain the exact and asymptotic expressions for the average harvested energy. Then we derive the average uplink achievable rate under the harvested energy constraint. Numerical results demonstrate that the use of massive MIMO antennas can improve both the users' harvested energy and uplink achievable rate in the HetNets, however, it has negligible effect on the ambient RF energy harvesting. Serving more users in the massive MIMO macrocells will deteriorate the uplink information transfer because of less harvested energy and more uplink interference. Moreover, although DRSP-based user association harvests more energy to provide larger uplink transmit power than the URSP-based one in the massive MIMO HetNets, URSPbased user association could achieve better performance in the uplink information transmission. Index TermsEnergy harvesting, heterogeneous network (HetNet), massive MIMO, user association, wireless power transfer. ). by (25) and (26), respectively.Corollary 4. If the number of antennas at the MBS is large for URSP-based user association, then we obtain the asymptotic expression for EURSP o,M by interchanging Ψ DRSP M∞ → Ψ URSP M∞ and r MS → r MS in (32).

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On the Deployment of Energy Sources in Wireless-Powered Cellular Networks

Cited by 37 publications

References 26 publications

Non-Uniform Deployment of Power Beacons in Wireless Powered Communication Networks

Non-Uniform Deployment of Power Beacons in Wireless Powered Communication Networks

Wireless Power Transfer in Distributed Antenna Systems

Wireless Power Transfer in Massive MIMO-Aided HetNets With User Association

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