Energy-Efficient CoMP Precoding in Heterogeneous Networks

Xu, Zhijiang; Yang, Chenyang; Li, Geoffrey Ye; Liu, Yalin; Xu, Shugong

doi:10.1109/tsp.2013.2296279

Cited by 75 publications

(82 citation statements)

References 27 publications

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“…On the other hand, with a capacity-limited backhaul, which is not be able to support information sharing, CoMP-CB is used to avoid the ICI. In this paper, to emphasize the impact of heterogeneous deployment with SWIPT capabilities, similar to the work in [19], the backhaul between the macro-BS and the small-BSs is assumed to be capacity-sufficient, and hence CoMP-JP is employed. It is also assumed that perfect channel state information (CSI) is available at the BSs.…”

Section: A System Modelmentioning

confidence: 99%

“…In [18], the authors also studied the EE optimization problem in a spectrum-sharing HetNet, where the cross-tier interference mitigation and imperfect hybrid spectrum sensing were jointly considered. On the basis of these fundamental studies, the EE performance in CoMP-aided HetNets was investigated in [19] and [20]. In [19], zero-forcing (ZF)-based energy-efficient precoding was investigated.…”

Section: Introductionmentioning

confidence: 99%

“…On the basis of these fundamental studies, the EE performance in CoMP-aided HetNets was investigated in [19] and [20]. In [19], zero-forcing (ZF)-based energy-efficient precoding was investigated. In particular, a novel subspace decomposition method was proposed in order to exploit the specific HetNet feature in which all UEs required fixed-rate services.…”

Section: Introductionmentioning

confidence: 99%

“…The results therein revealed that the SWIPT-based solution is capable of providing additional EE gain compared to conventional systems. Furthermore, it has been shown in [19] and [20] that CoMP is a de facto approach towards achieving high EE in emerging dense cellular networks. Therefore, given the inherent high potential of CoMP-enabled HetNets, it is worth investigating the underlying EE performance through introduction of SWIPT technology.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: A System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Energy Efficiency Optimization for CoMP-SWIPT Heterogeneous Networks

Tang

Shojaeifard

et al. 2018

IEEE Trans. Commun.

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“…In fact, the beamforming design for the EE must be more complicated than conventional beamforming design with minimizing the beamforming power subject to the users' QoS throughput (see e.g. [30,57] and references therein). In our work [38], we use a novel group sparsity of weighted 1 -norm corresponding to switching-off SBSs and associated users for joint linear precoder design in EE maximization problem.…”

Section: Energy Efficiency In Small Cell With User Associationmentioning

confidence: 99%

Resource Allocation for Energy Efficiency in 5G Wireless Networks

Nguyen¹

2018

EAI Endorsed Transactions on Industrial Networks and Intelligen

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Resource allocation is one important mission in wireless communication systems. In 5G wireless networks, it is essential that the new systems be more dynamic and wiser to simultaneously satisfy various network demands, by using new wireless technologies and approaches. To this end, resource allocation is faced with many significant challenges such as interference alignment, security attacks, or green communication. On the other hand, as one serious problem in 5G networks, the issue of energy is affected directly by the allocated resources in the system, i.e., bandwidth allocation, power control, association allocation, and deployment strategies. Consequently, together with the enhancement of spectral efficiency performance, an emerging trend of 5G wireless networks is to approach green communication via energy efficiency (EE) (bits/Hz/Joule), whose most significant challenge is due to its belonging to the fractional programming in the optimization field, i.e., nonconvex programming. This leaves many difficult tasks for improving network EE performance. In this paper, we will tackle the critical EE in 5G wireless networks.

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ESPS scheme for two‐tier interference suppression in a heterogeneous network with cooperative femtocells

Ren

2015

Int J Communication

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The coexistence of a macrocell and a number of femtocells often leads to a two-tier heterogeneous network, where the co-tier interference (CotIN) and cross-tier interference (CrotIN) both degrade users' quality of service. In order to suppress these interferences, we propose a precoding scheme in a heterogeneous network with cooperative femtocells, called CotIN elimination and CrotIN suppression with precoding criterion selection (ESPS) scheme. In this scheme, we first eliminate the CotINs of each user by applying the QR decomposition to channel matrix. Then the CrotINs of macrocell users and femtocell users are suppressed via the macrocell base station (MBS) and femtocell access points (FAPs) with precoding criterion selection, respectively. By using the ESPS scheme, spatial resources can be efficiently exploited. In addition, our ESPS scheme requires little information exchange between MBS and FAPs without iteration and thus significantly reduces the implementation complexity. Furthermore, the robustness is increased through introducing the information of channel uncertainty into the ESPS when channel estimation or quantization error exists. The performance analysis for the ESPS demonstrates that the ESPS is practical in the heterogeneous networks. Finally, simulation results show that the ESPS can decrease users' bit error rates and increase their transmission rates. ESPS FOR TWO-TIER INTERFERENCE SUPPRESSION 2215 modes defined for femtocell such as open access mode, closed access mode, and hybrid access mode [2,12,13]. As a result, a conventional single-tier macrocell network is converted into a two-tier heterogeneous network, which may cause two types of interferences called the co-tier interference (CotIN) and cross-tier interference (CrotIN) no matter what access mode is applied. In a two-tier heterogeneous network, the CotINs mean the interferences among the macrocell users (MUs) or the FUs, and the CrotINs denote the interferences between the FUs and MUs. Therefore, both of the interferences should be alleviated in the network.In order to suppress the interferences, fractional frequency reuse [14-16] strategies can be utilized. However, spectrum resources are limited in the existing wireless networks; hence, it is necessary to investigate the interference suppression schemes by exploiting spatial resources. In this case, several previous works have been introduced. The schemes in [17,18] were introduced for the CotIN suppression. The authors in [19][20][21][22] presented schemes to reduce the CrotINs from femtocells to MUs or from the macrocell base station to FUs. Furthermore, Park et al. [23], Park et al.[24], and Dai et al.[25] adopted different schemes for suppressing both the types of CrotINs. Each of the aforementioned schemes just restrain the CotIN or CrotIN, while considering the other type of interference (CrotIN or CotIN) that can be ignored or ideally mitigated by interference coordination. However, in a realistic system, there may be multiple MUs and FUs that are served at the same time and ...

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Energy-Efficient CoMP Precoding in Heterogeneous Networks

Cited by 75 publications

References 27 publications

Energy Efficiency Optimization for CoMP-SWIPT Heterogeneous Networks

Energy Efficiency Optimization for CoMP-SWIPT Heterogeneous Networks

Resource Allocation for Energy Efficiency in 5G Wireless Networks

ESPS scheme for two‐tier interference suppression in a heterogeneous network with cooperative femtocells

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