Hybrid Beamforming Design for mmWave Joint Unicast and Multicast Transmission

Wang, Jun; Xu, Hongbo; Zhu, Bingru; Fan, Lvrong; Zhou, Anyu

doi:10.1109/lcomm.2018.2858221

Cited by 18 publications

(18 citation statements)

References 10 publications

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“…Then, the authors propose an iterative hybrid beamforming scheme to obtain the optimal solution. In [34], the authors investigate the hybrid beamforming design problem in mmWave joint unicast and multicast system. Based on this, a low-complexity optimization algorithm is proposed to solve the formulated sum rate maximization problem.…”

Section: A Related Workmentioning

confidence: 99%

“…Then, we set the new variables 2 1 , and reformulate the following optimization as Solve the optimization problem (34) and obtain the optimal…”

Section: B the Proposed Two-loop Iterative Algorithmmentioning

confidence: 99%

“…We can solve the above problem by convex solvers (e.g., CVX), which is summarized as Algorithm 5. Similar to (34), the worst-case complexity of solving (46)…”

Section: Zf-based Low-complexity Algorithmmentioning

confidence: 99%

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Energy-Efficient Hybrid Precoding Design for Integrated Multicast-Unicast Millimeter Wave Communications With SWIPT

Hao

Sun

Zhou

et al. 2019

IEEE Trans. Veh. Technol.

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In this paper, we investigate the energy-efficient hybrid precoding design for integrated multicast-unicast millimeter wave (mmWave) system, where the simultaneous wireless information and power transform is considered at receivers. We adopt two sparse radio frequency chain antenna structures at the base station (BS), i.e., fully-connected and subarray structures, and design the codebook-based analog precoding according to the different structures. Then, we formulate a joint digital multicast, unicast precoding and power splitting ratio optimization problem to maximize the energy efficiency of the system, while the maximum transmit power at the BS and minimum harvested energy at receivers are considered. Due to its difficulty to directly solve the formulated problem, we equivalently transform the fractional objective function into a subtractive form one and propose a two-loop iterative algorithm to solve it. For the outer loop, the classic Bi-section iterative algorithm is applied. For the inner loop, we transform the formulated problem into a convex one by successive convex approximation techniques and propose an iterative algorithm to solve it. Meanwhile, to reduce the complexity of the inner loop, we develop a zero forcing (ZF) technique-based low complexity iterative algorithm. Specifically, the ZF technique is applied to cancel the inter-unicast interference and the first order Taylor approximation is used for the convexification of the non-convex constraints in the original problem. Finally, simulation results are provided to compare the performance of the proposed algorithms under different schemes.

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Section: A Related Workmentioning

confidence: 99%

“…Then, we set the new variables 2 1 , and reformulate the following optimization as Solve the optimization problem (34) and obtain the optimal…”

Section: B the Proposed Two-loop Iterative Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

Energy-Efficient Hybrid Precoding Design for Integrated Multicast-Unicast Millimeter Wave Communications With SWIPT

Hao

Sun

Zhou

et al. 2019

IEEE Trans. Veh. Technol.

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“…Taking the object-based broadcasting scenario as an example, each user wants to simultaneously receive both common message over multicast and private message over unicast. The authors in [9] proposed a suboptimal lowcomplexity hybrid ZF beamforming algorithm for the joint multicast-unicast mmWave system. [10] studied the joint base station (BS) clustering and beamforming design for the NO-MA multicast and unicast transmission with limited backhaul capacity.…”

Section: Introductionmentioning

confidence: 99%

Beamforming Design in SWIPT-Based Joint Multicast-Unicast mmWave Massive MIMO With Lens-Antenna Array

Hao

Sun

Chu

et al. 2019

IEEE Wireless Commun. Lett.

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In this letter, we study the beamforming design in a lens-antenna array-based joint multicast-unicast millimeter wave massive MIMO system, where the simultaneous wireless information and power transfer at users is considered. First, we develop a beam selection scheme based on the structure of the lens-antenna array and then, the zero forcing precoding is adopted to cancel the inter-unicast interference among users. Next, we formulate a sum rate maximization problem by jointly optimizing the unicast power, multicast beamforming and power splitting ratio. Meanwhile, the maximum transmit power constraint for the base station and the minimum harvested energy for each user are imposed. By employing the successive convex approximation technique, we transform the original optimization problem into a convex one, and propose an iterative algorithm to solve it. Finally, simulation results are conducted to verify the effectiveness of the proposed schemes.

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“…Recently, non-orthogonal unicast and multicast (NOUM) transmission has been gaining increasing interest [5][6][7]. At the transmitter, the unicast and multicast signals are precoded and then sent out to the receivers simultaneously, sharing the same time-frequency resources.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Optimization for Massive MIMO Non-Orthogonal Unicast and Multicast Transmission with Statistical CSI

et al. 2019

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We study the energy efficiency (EE) optimization problem in non-orthogonal unicast and multicast transmission for massive multiple-input multiple-output (MIMO) systems with statistical channel state information of all receivers available at the transmitter. Firstly, we formulate the EE maximization problem. We reduce the number of variables to be solved and simplify this large-dimensional-matrix-valued problem into a real-vector-valued problem. Next, we lower the computational complexity significantly by replacing the objective with its deterministic equivalent to avoid the high-complex expectation operation. With guaranteed convergence, we propose an iterative algorithm on beam domain power allocation using the minorize maximize algorithm and Dinkelbach’s transform and derive the locally optimal power allocation strategy to achieve the optimal EE. Finally, we illustrate the significant EE performance gain of our EE maximization algorithm compared with the conventional approach through conducting numerical simulations.

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Hybrid Beamforming Design for mmWave Joint Unicast and Multicast Transmission

Cited by 18 publications

References 10 publications

Energy-Efficient Hybrid Precoding Design for Integrated Multicast-Unicast Millimeter Wave Communications With SWIPT

Energy-Efficient Hybrid Precoding Design for Integrated Multicast-Unicast Millimeter Wave Communications With SWIPT

Beamforming Design in SWIPT-Based Joint Multicast-Unicast mmWave Massive MIMO With Lens-Antenna Array

Energy Efficiency Optimization for Massive MIMO Non-Orthogonal Unicast and Multicast Transmission with Statistical CSI

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