Joint User Association and Beamforming Design for Millimeter Wave UDN With Wireless Backhaul

Kwon, Girim; Park, Hyuncheol

doi:10.1109/jsac.2019.2947926

Cited by 48 publications

(40 citation statements)

References 42 publications

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“…Note that objective function in (8) is still non-concave due to the interference terms in non-concave function ̃S . To obtain the convex structure of (8), through the feature of logarithmic structure, we rewrite ̃S as the difference of convex structure Based on the subtractive structure in (8) and the logarithmic operation in (9), problem (7) can be further rewritten by…”

Section: B Sum-of-ratios Decouplingmentioning

confidence: 99%

“…In [8], Qin et al used matching theory to study the problem of resource allocation and user association under a unified NOMA framework in UDNs. In [9], Kwon and Park explored the joint problem of radio resource allocation, user association, and hybrid beamforming design in mmWave UDNs to maximize the weighted sum rate with limited feedback.…”

Section: Introductionmentioning

confidence: 99%

“…However, aforementioned research are mainly highlighted as (ⅰ) the impact of resource optimization on the EE balance for wireless access [5], [6], (ⅱ) joint design of access and backhaul downlink using NOMA [7], (ⅲ) uplink and downlink design for wireless access via NOMA [8], and (ⅳ) design of both access and backhaul downlink through hybrid beamforming [9]. Few consider utilizing NOMA and beamforming simultaneously for resource allocation in usercentric UDNs.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Energy Efficient Resource Optimization in User-Centric UDNs with NOMA and Beamforming

Zhang¹,

Zhang²,

Zhao³

et al. 2020

Preprint

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In this paper, we address the problem of energy efficient resource optimization for downlink transmission in user-centric ultra-dense networks enabled by wireless access via nonorthogonal multiple access and wireless backhaul via beamforming. Our objective is to maximize the system energy efficiency by optimizing user/access point scheduling, subchannel assignment, and power allocation jointly. The problem is formulated as a nonconvex mixed-integer nonlinear programming problem which is NP-hard. We then transform it into a convex subproblem using the sum-of-ratios decoupling and the iterative successive convex approximation method. An overall algorithm is further developed to solve the subproblem iteratively. Simulation results show that the proposed algorithm has improved the system-wide energy efficiency significantly when compared to the benchmark scheme.

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Section: B Sum-of-ratios Decouplingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy Efficient Resource Optimization in User-Centric UDNs with NOMA and Beamforming

Zhang¹,

Zhang²,

Zhao³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…formula, but also from less diffraction and higher levels of absorption by atmospheric gases [3]. In light of the above, many advanced channel estimation and hybrid beamforming methods have been proposed in the literature [4]- [9] in order to both exploit the system dimension advantage and compensate for the propagation limitation of mmWave systems. A fundamental challenge that remains, however, is that mmWave signals are susceptible to random blockage resulting in unpredictable channel uncertainties [10]- [12].…”

Section: Introductionmentioning

confidence: 99%

Stochastic Learning Robust Beamforming for Millimeter-Wave Systems With Path Blockage

Iimori

Abreu

Taghizadeh

et al. 2020

IEEE Wireless Commun. Lett.

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We introduce a new robust, outage minimum, millimeter wave (mmWave) coordinated multipoint (CoMP) beamforming scheme to combat the random path blockages typical of mmWave systems. Unlike state-of-the-art methods, which are of limited applicability in practice due to their combinatorial nature which leads to prohibitive complexity, the proposed method is based on a stochastic-learning-approach, which learns crucial blockage patterns without resorting to the well-known worstcase optimization framework. Simulation results demonstrate the superior performance of the proposed method both in terms of outage probability and effective achievable rate.

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“…However, because of the higher frequencies, these bands are prone to atmospheric effects or rain fade, which can attenuate the signal and limit its range. Thus, the wireless option presents more challenging issues to face, such as the directional LOS design [22], the self-BH [23][24][25] or the multi-hop BH [26][27][28]. The in-band self-BH problem is aimed at finding the optimal BH and access time resource partition, combined with the user association and the beam alignment.…”

Section: Introductionmentioning

confidence: 99%

Backhaul-Aware Dimensioning and Planning of Millimeter-Wave Small Cell Networks

et al. 2020

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The massive deployment of Small Cells (SCs) is increasingly being adopted by mobile operators to face the exponentially growing traffic demand. Using the millimeter-wave (mmWave) band in the access and backhaul networks will be key to provide the capacity that meets such demand. However, dimensioning and planning have become complex tasks, because the capacity requirements for mmWave links can significantly vary with the SC location. In this work, we address the problem of SC planning considering the backhaul constraints, assuming that a line-of-sight (LOS) between the nodes is required to reliably support the traffic demand. Such a LOS condition reduces the set of potential site locations. Simulation results show that, under certain conditions, the proposed algorithm is effective in finding solutions and strongly efficient in computational cost when compared to exhaustive search approaches.

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Joint User Association and Beamforming Design for Millimeter Wave UDN With Wireless Backhaul

Cited by 48 publications

References 42 publications

Energy Efficient Resource Optimization in User-Centric UDNs with NOMA and Beamforming

Energy Efficient Resource Optimization in User-Centric UDNs with NOMA and Beamforming

Stochastic Learning Robust Beamforming for Millimeter-Wave Systems With Path Blockage

Backhaul-Aware Dimensioning and Planning of Millimeter-Wave Small Cell Networks

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