Fair beamwidth selection and resource allocation for indoor millimeter-wave networks

Eshraghi, Nima; Shah-Mansouri, Vahid; Maham, Behrouz

doi:10.1109/icc.2017.7996623

Cited by 11 publications

(7 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By relaxing Problem (24) to Problem (28) in each iteration, we can propose an iterative algorithm to provide an approximation solution for Problem (24). Detailed steps are presented in Alg.…”

Section: A Power Allocationmentioning

confidence: 99%

“…of CVX is O((3M UE ) 3.5 ), where M UE is the total number of users and 3M UE is the number of variables in Problem (28). In the beamwidth optimization, we iteratively optimize the beamwidth for each sector.…”

Section: F Convergence and Complexity Analysismentioning

confidence: 99%

“…In the power allocation algorithm, we use SPCA to gradually convexify the original non-convex problem. In each iteration, the complexity mainly lies in solving Problem(28). We use an off-the-shelf solution, i.e., CVX to solve Problem(28), which uses the interior-point method.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Joint Beamwidth and Power Optimization in MmWave Hybrid Beamforming-NOMA Systems

Almasi

Jiang

Jafarkhani

et al. 2021

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

The use of directional transmission in millimeter-Wave (mmWave) frequencies results in limited channel coherence time. In this paper, we take the limited channel coherence time into account for non-orthogonal multiple access (NOMA) in mmWave hybrid beamforming systems. Due to the limited coherence time, the beamwidth of the hybrid beamformer affects the beam-training time, which in turn directly impacts the data transmission rate. To investigate this trade-off, we utilize a combined beamtraining algorithm. Then, we formulate a sum-rate expression which considers the channel coherence time and beam-training time as well as users' power and other system parameters. Further, a joint power and beamwidth optimization problem is solved by iterating between the power allocation and the beamwidth optimization. When allocating the power, we use the log-exponential reformulation and the sequential parametric convex approximation (SPCA) methods to solve the non-convex problem.Since beamwidth optimization involves too many variables, we propose an algorithm which iterates between clusters of users. Numerical results show that the optimized mmWave hybrid beamforming-NOMA system can achieve much higher sum-rates compared to NOMA with analog beamforming and traditional multiple access techniques.

show abstract

Section: A Power Allocationmentioning

confidence: 99%

Section: F Convergence and Complexity Analysismentioning

confidence: 99%

See 1 more Smart Citation

Joint Beamwidth and Power Optimization in MmWave Hybrid Beamforming-NOMA Systems

Almasi

Jiang

Jafarkhani

et al. 2021

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

show abstract

“…The research in [16] provides a unifying framework which brings beam-searching and transmission scheduling together, then addresses a joint beamwidth optimization and power allocation problem to maximize effective network throughput. On the basis of this unifying framework, many studies [17]- [22] scrutinize the tradeoff to improve transmission performance. In particular, in [20], the aforementioned tradeoff and framework are extended to the vehicular environment with the proposed radio resource management scheme based on matching theory and swarm intelligence.…”

Section: Introductionmentioning

confidence: 99%

Beamwidth Optimization for Millimeter-Wave V2V Communication Between Neighbor Vehicles in Highway Scenarios

Feng

Guan

et al. 2021

IEEE Access

View full text Add to dashboard Cite

“…Reference [15] divides each frame into three continuous parts, including energy harvesting, beam alignment and data transmission, and then a joint optimal energy harvesting ratio and beamwidth selection scheme for maximizing the throughput is proposed. A fair user association, beamwidth selection and power allocation problem for maximizing the worst-case user's throughput is studied in [16]. The authors in [17] develop a beam switching technique that effectively reduces the search scope, which exhibits a much lower complexity and higher performance than the current strategies.…”

Section: Introductionmentioning

confidence: 99%

Beam Alignment for MIMO-NOMA Millimeter Wave Communication Systems

Hao

Zhou

Chu

et al. 2019

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

View full text Add to dashboard Cite

Millimeter wave (mmWave) communication is a promising technology in future wireless networks because of its wide bandwidths that can achieve high data rates. However, high beam directionality at the transceiver is needed due to the large path loss at mmWave. Therefore, in this paper, we investigate the beam alignment and power allocation problem in a nonorthogonal multiple access (NOMA) mmWave system. Different from the traditional beam alignment problem, we consider the NOMA scheme during the beam alignment phase when two users are at the same or close angle direction from the base station. Next, we formulate an optimization problem of joint beamwidth selection and power allocation to maximize the sum rate, where the quality of service (QoS) of the users and total power constraints are imposed. Since it is difficult to directly solve the formulated problem, we start by fixing the beamwidth. Next, we transform the power allocation optimization problem into a convex one, and a closed-form solution is derived. In addition, a one-dimensional search algorithm is used to find the optimal beamwidth. Finally, simulation results are conducted to compare the performance of the proposed NOMA-based beam alignment and power allocation scheme with that of the conventional OMA scheme.

show abstract

Fair beamwidth selection and resource allocation for indoor millimeter-wave networks

Cited by 11 publications

References 10 publications

Joint Beamwidth and Power Optimization in MmWave Hybrid Beamforming-NOMA Systems

Joint Beamwidth and Power Optimization in MmWave Hybrid Beamforming-NOMA Systems

Beamwidth Optimization for Millimeter-Wave V2V Communication Between Neighbor Vehicles in Highway Scenarios

Beam Alignment for MIMO-NOMA Millimeter Wave Communication Systems

Contact Info

Product

Resources

About