Adaptive Energy-Efficient Power Allocation in Green Interference-Alignment-Based Wireless Networks

Zhao, Nan; Yu, F. Richard; Sun, Hongjian

doi:10.1109/tvt.2014.2362005

Cited by 67 publications

(53 citation statements)

References 35 publications

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“…Therefore, constraints (12)- (14) are respectively used to guarantee the maximum power budget, the minimum rate target and the minimum harvested energy requirement.…”

Section: B Problem Formulationmentioning

confidence: 99%

Energy Efficiency Optimization for CoMP-SWIPT Heterogeneous Networks

Tang

Shojaeifard

et al. 2018

IEEE Trans. Commun.

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Abstract-In this paper, a fundamental study of energy efficiency (EE) optimization for coordinated multi-point (CoMP)-simultaneous wireless information and power transfer (SWIPT) heterogeneous networks (HetNets) is provided. We aim to optimize the EE whilst satisfying certain quality-of-service (QoS) requirements in regard to transmission rate and energy harvesting at both the macro-cell and small-cells. The corresponding joint beamforming and power allocation in the presence of intra-and inter-cell interference constitutes a EE maximization problem that is non-convex, and hence very challenging to solve. In order to solve this problem, we propose to separate the beamforming design and power allocation processes. First, we adopt linear zero-forcing (ZF) beamforming to suppress the multi-user interference from both the energy harvesting users (EH-UEs) as well as the information decoding users (ID-UEs), thus transforming the HetNet under consideration to a virtual point-to-point system. An efficient power allocation algorithm is then developed to maximize the corresponding EE. On the other hand, the ZF strategy does not utilize the notion that interference benefits the EH-UEs. As a result, we propose a partial zeroforcing (PZF) approach by differentiating the EH-UEs and IDUEs in order to further improve the EE. Our findings show that the EE can be significantly improved through the integration of CoMP-SWIPT in HetNets.Index Terms-Coordinated multi-point (CoMP), energy efficiency (EE), heterogeneous networks (HetNets), simultaneous wireless information and power transfer (SWIPT).

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“…Therefore, constraints (12)- (14) are respectively used to guarantee the maximum power budget, the minimum rate target and the minimum harvested energy requirement.…”

Section: B Problem Formulationmentioning

confidence: 99%

Energy Efficiency Optimization for CoMP-SWIPT Heterogeneous Networks

Tang

Shojaeifard

et al. 2018

IEEE Trans. Commun.

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“…The study outcome was assessed using capacity and transmission rate over interference threshold. Zhao et al [19] have presented an adaptive technique that optimizes the power factor over the wireless networks. The investigation shows that transmitted power is directly proportional to SNR.…”

Section: Related Workmentioning

confidence: 99%

Novel Framework for Enhancing Communication Performance Quality in 5G Networks

Reddy¹,

Padmaja²

2017

IJET

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Abstract-The existing telecommunication standard hypothetically cater up the user's demands at the cost of short delay, power drainage, not so standard throughput. We reviewed the existing literatures of bit loading and power allocation to find more inclination towards 3G and 4G-based enabling technologies (OFDM-Orthogonal Frequency Division Multiplexing) and less towards 5G-based enabling technologies (e.g. FBMC-Filter Bank Multiple Carrier) almost no work is done towards 5G network. Hence, we present a framework of bit loading and power allocation that uses FBMC, incorporates a new encoding, and introduced a novel modulation technique over a stream of signal to find it more optimally supporting the demands of 5G networks. The study outcome was found to possess lower error rate, higher data delivery performance, lower power usage, and faster processing time in comparison to existing legacy standards.

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“…A virtual cell grouping transmission scheme is also proposed to eliminate the intra-group interference caused by no cooperation. What is more, interference alignment (IA) [12][13][14][15] has been considered as a new paradigm of intelligent interference management in wireless networks. The principle of IA is to align the interference signals into a subspace with minimum dimensions at the receiver, and consequently, the degrees-of freedom (DoFs) of the desired signals can be maximized.…”

Section: User-centric Transmissionmentioning

confidence: 99%

On the Virtual Cell Transmission in Ultra Dense Networks

Zhu

Zeng

et al. 2016

Entropy

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Ultra dense networks (UDN) are identified as one of the key enablers for 5G, since they can provide an ultra high spectral reuse factor exploiting proximal transmissions. By densifying the network infrastructure equipment, it is highly possible that each user will have one or more dedicated serving base station antennas, introducing the user-centric virtual cell paradigm. However, due to irregular deployment of a large amount of base station antennas, the interference environment becomes rather complex, thus introducing severe interferences among different virtual cells. This paper focuses on the downlink transmission scheme in UDN where a large number of users and base station antennas is uniformly spread over a certain area. An interference graph is first created based on the large-scale fadings to give a potential description of the interference relationship among the virtual cells. Then, base station antennas and users in the virtual cells within the same maximally-connected component are grouped together and merged into one new virtual cell cluster, where users are jointly served via zero-forcing (ZF) beamforming. A multi-virtual-cell minimum mean square error precoding scheme is further proposed to mitigate the inter-cluster interference. Additionally, the interference alignment framework is proposed based on the low complexity virtual cell merging to eliminate the strong interference between different virtual cells. Simulation results show that the proposed interference graph-based virtual cell merging approach can attain the average user spectral efficiency performance of the grouping scheme based on virtual cell overlapping with a smaller virtual cell size and reduced signal processing complexity. Besides, the proposed user-centric transmission scheme greatly outperforms the BS-centric transmission scheme (maximum ratio transmission (MRT)) in terms of both the average user spectral efficiency and edge user spectral efficiency. What is more, interference alignment based on the low complexity virtual cell merging can achieve much better performance than ZF and MRT precoding in terms of average user spectral efficiency.

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Adaptive Energy-Efficient Power Allocation in Green Interference-Alignment-Based Wireless Networks

Cited by 67 publications

References 35 publications

Energy Efficiency Optimization for CoMP-SWIPT Heterogeneous Networks

Energy Efficiency Optimization for CoMP-SWIPT Heterogeneous Networks

Novel Framework for Enhancing Communication Performance Quality in 5G Networks

On the Virtual Cell Transmission in Ultra Dense Networks

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