Joint Energy-Spectral-Efficiency Optimization of CoMP and BS Deployment in Dense Large-Scale Cellular Networks

Zhao, Guogang; Chen, Sheng; Zhao, Liqiang; Hanzo, Lajos

doi:10.1109/twc.2017.2703306

Cited by 28 publications

(23 citation statements)

References 45 publications

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“…,n } k, ,n must be available, which requires information sharing among the J receivers, e.g., the base stations (BSs). This can be achieved through different approaches, but here we identify Cooperative Multi-Point (CoMP) [44]- [46] as a suitable and effective paradigm to implement Algorithm 3 in a centralized fashion. According to the CoMP paradigm, all base stations share CSI with one base station, which acts as head of the cluster.…”

Section: Global Energy Efficiency Maximization Without Minimum Rmentioning

confidence: 99%

A Learning Approach for Low-Complexity Optimization of Energy Efficiency in Multicarrier Wireless Networks

D’Oro

Zappone

Palazzo

et al. 2018

IEEE Trans. Wireless Commun.

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This paper proposes computationally efficient algorithms to maximize the energy efficiency in multi-carrier wireless interference networks, by a suitable allocation of the system radio resources, namely the transmit powers and subcarrier assignment. The problem is formulated as the maximization of the system global energy efficiency (GEE) subject to both maximum power and minimum rate constraints. This leads to a challenging non-convex fractional problem, which is tackled through an interplay of fractional programming, learning, and game theory. The proposed algorithmic framework is provably convergent and has a complexity linear in both the number of users and subcarriers, whereas other available solutions can only guarantee a polynomial complexity in the number of users and subcarriers. Numerical results show that the proposed method performs similarly as other, more complex, algorithms. general an NP-hard problem. Hence, low-complexity solutions are required for practical applications. One widely used approach to reduce complexity makes use of non-cooperative game theory [7]- [9]. In this context, instead of directly tackling the maximization of the systemwide energy efficiency with respect to all of the available network radio resources, the problem is formulated modeling the network nodes as rational agents that compete for individual energy efficiency maximization. Such an approach tackles the system-wide energy efficiency maximization problem by solving a set of user-dependent, convex or pseudo-convex problems, with a reduced set of optimization variables. This leads to a practical resource allocation algorithm, but typically suffers from a significant performance gap in terms of global network performance. In [10], energy-efficient power control in multi-carrier CDMA networks is studied, while in [11] the problem of non-cooperative power control in OFDMA networks is addressed. In [12] non-cooperative energy-efficient power control and receiver design is performed in relayassisted networks.In [13], [14] the non-cooperative, energy-arXiv:1802.09591v1 [cs.NI]

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Section: Global Energy Efficiency Maximization Without Minimum Rmentioning

confidence: 99%

A Learning Approach for Low-Complexity Optimization of Energy Efficiency in Multicarrier Wireless Networks

D’Oro

Zappone

Palazzo

et al. 2018

IEEE Trans. Wireless Commun.

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“…Some optimizations in the JT-CoMP scenarios were carried out in the literature [12]- [15]. To cope with the problem that the load-balancing capability becomes much lower than that expected in a clustered heterogeneous network (HetNet), a feasible suboptimal iterative algorithm was provided in [12] for determining the joint user association solution of the selforganizing network.…”

Section: Introductionmentioning

confidence: 99%

A Novel JT-CoMP Scheme in 5G Fractal Small Cell Networks

Chen

Zhong

et al. 2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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To satisfy the requirement of the fifth generation (5G) mobile communications that offers an ultra high data rate of 100Mbps to 1Gbps anytime and anywhere, the coordinated multipoint (CoMP) technique is proposed to mitigate intercell interference to improve the coverage of high data rate services, cell-edge throughput, and system capacity. However, the joint transmission (JT) CoMP technique is difficult to be applied in practice due to the critical time synchronization for multiple coordination links and the bottleneck of backhaul capacity and radio resource at each small cell base stations (SBSs). Moreover, since the coordination SBSs in the conditional scheme are entirely separate from each other, different time of arrivals at the user cause the severe time synchronization problem. The anisotropic propagation environment in the urban scenario makes the implementation condition even worse. To tackle these issues, we propose a novel JT-CoMP scheme with the anisotropic path loss model to minimize the network backhaul traffic subject to the constraints on the radio resource and the differences in time of arrivals. Simulation results demonstrate that the proposed distance-resource-limited CoMP scheme can obtain the maximum achievable rate with the minimum network backhaul traffic, compared with existing schemes.

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“…In a different yet relevant context of 5G, EE is an important design criterion [26], [27], where the energy saving should not be at the cost of the quality of service (QoS) [7], [28]. The optimal EE design is critical, and can make preferable balance between total power consumption and spectrum efficiency (SE) so as to improve resource utilization [29].…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Caching for Scalable Videos in Heterogeneous Networks

Zhang

et al. 2018

IEEE J. Select. Areas Commun.

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By suppressing repeated content deliveries, wireless caching has the potential to substantially improve the energy efficiency (EE) of the fifth generation (5G) communication networks. In this paper, we propose two novel energy-efficient caching schemes in heterogeneous networks, namely, scalable video coding (SVC)-based fractional caching and SVC-based random caching, which can provide on-demand video services with different perceptual qualities. We derive the expressions for successful transmission probabilities and ergodic service rates. Based on the derivations and the established power consumption models, the EE maximization problems are formulated for the two proposed caching schemes. By taking logarithmic approximations of the l0-norm, the problems are efficiently solved by the standard gradient projection method. Numerical results validate the theoretical analysis and demonstrate the superiority of our proposed caching schemes, compared to three benchmark strategies.Index Terms-Energy efficiency (EE), heterogeneous networks, scalable video coding (SVC), standard gradient projection method, wireless caching.

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Joint Energy-Spectral-Efficiency Optimization of CoMP and BS Deployment in Dense Large-Scale Cellular Networks

Cited by 28 publications

References 45 publications

A Learning Approach for Low-Complexity Optimization of Energy Efficiency in Multicarrier Wireless Networks

A Learning Approach for Low-Complexity Optimization of Energy Efficiency in Multicarrier Wireless Networks

A Novel JT-CoMP Scheme in 5G Fractal Small Cell Networks

Energy-Efficient Caching for Scalable Videos in Heterogeneous Networks

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