A Beam Selection Algorithm for Millimeter-Wave Multi-User MIMO Systems

Pal, Rahul; Srinivas, Kothapalli Venkata; Chaitanya, A. Krishna

doi:10.1109/lcomm.2018.2803805

Cited by 52 publications

(56 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To maximize (11) for each UE, we require to subdue the inter-beam interference and enhance the effective channel gain. In the traditional multiuser MIMO (MU-MIMO) system, zero forcing (ZF) can be employed [8], [11], [18]. To reduce the hardware constraints while achieving full potentials of mmWave mMIMO-NOMA systems, we propose to implement phase-only array response adjustment to link the N RF RF chain outputs with N BS antennas, employing low-cost phase shifters.…”

Section: B Hybrid Analog-digital Precoder Solutionmentioning

confidence: 99%

“…To reduce the hardware constraints while achieving full potentials of mmWave mMIMO-NOMA systems, we propose to implement phase-only array response adjustment to link the N RF RF chain outputs with N BS antennas, employing low-cost phase shifters. Nonetheless, as a result of the elementwise constant-magnitude constraint on the analog precoder i.e., |[F RF ] i,j | = 1/ √ N , ∀i, j, they cannot be straightforwardly used to the hybrid analog-digital precoding system [8], [18]. Since the constant-magnitude constraint makes the subsets of feasible regions non-convex.…”

Section: B Hybrid Analog-digital Precoder Solutionmentioning

confidence: 99%

“…The fully-connected structure experiences full beamforming gain for each RF chain (i.e., each RF chain connects to all antennas) [2], [8], while the partially-connected structure sacrifices some beamforming gain (i.e., each RF chain connects to a sub-antenna array) to improve energy efficiency and reduce hardware implementation complexity [7], [8], [17]. While the conventional mmWave mMIMO systems with orthogonal multiple access based hybrid precoding (i.e., mmWave mMIMO-OMA) improve energy efficiency and implementation cost, the channel time-frequency resource block in each beam cannot support multiple user equipments 1 (UEs) [8], [18]- [20]. Thus, leads to a limited number of served UEs [8], [18], since the number of served UEs cannot exceed the number of transmitter RF chains at the same time-frequency resource block.…”

Section: Introductionmentioning

confidence: 99%

“…While the conventional mmWave mMIMO systems with orthogonal multiple access based hybrid precoding (i.e., mmWave mMIMO-OMA) improve energy efficiency and implementation cost, the channel time-frequency resource block in each beam cannot support multiple user equipments 1 (UEs) [8], [18]- [20]. Thus, leads to a limited number of served UEs [8], [18], since the number of served UEs cannot exceed the number of transmitter RF chains at the same time-frequency resource block.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Spectrum and Energy Efficiency Optimization for Hybrid Precoding-Based SWIPT-Enabled mmWave mMIMO-NOMA Systems

Uwaechia

Mahyuddin

2020

IEEE Access

View full text Add to dashboard Cite

Non-orthogonal multiple access (NOMA) in millimeter-wave (mmWave) multiple-input multiple-output (MIMO) (i.e., mmWave MIMO-NOMA) systems, is a promising technology to significantly enhance the spectrum efficiency of the fifth-generation (5G) mobile communication systems. Furthermore, enabling simultaneous wireless information and power transfer (SWIPT), where the energyconstrained user equipment (UE) equipped with power splitting receiver harvest both information and energy from the ambient radio-frequency (RF) signal, is crucial for energy-efficiency-maximization. In this paper, we initially design a user grouping algorithm, which preferentially groups UEs based on their channel correlation. Then, we design the analog RF precoder based on the selected user grouping for all beams, followed by a low-dimensional digital baseband precoder design, to further mitigate interbeam interference and maximize the achievable sum-rate for the considered system. Subsequently, we equivalently transform the original optimization problem into a joint power allocation and power splitting maximization problem. Then, we propose to decouple the joint power allocation and power splitting nonconvex optimization problem into four separate optimization problems and then solved iteratively via an alternating optimization (AO) algorithm. Simulation results show that high spectrum and energy efficiency can be realized with the proposed algorithms than those of state-of-the-art designs and the conventional SWIPT-enabled mmWave MIMO-OMA system. INDEX TERMS SWIPT, Millimeter wave communication, MIMO, NOMA, hybrid analog-digital precoding, multiuser channels, optimal scheduling, power splitting, optimization methods.

show abstract

Section: B Hybrid Analog-digital Precoder Solutionmentioning

confidence: 99%

Section: B Hybrid Analog-digital Precoder Solutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Spectrum and Energy Efficiency Optimization for Hybrid Precoding-Based SWIPT-Enabled mmWave mMIMO-NOMA Systems

Uwaechia

Mahyuddin

2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Beam selection algorithms for multiple performance metrics have been developed in [12]. An iterative beam selection algorithm based on QR decomposition has been proposed in [13].…”

Section: Introductionmentioning

confidence: 99%

Matching Theoretic Beam Selection in Millimeter-Wave Multi-User MIMO Systems

Amod¹,

Srinivas

2019

IEEE Access

Self Cite

View full text Add to dashboard Cite

Beamspace multiple-input multiple-output (MIMO) with beam selection offers an attractive solution to reduce the number of radio-frequency chains in a high-dimensional millimeter-wave MIMO system. Considering a multiuser MIMO system in which an access point, having an N element antenna array, communicates with K users (K < N), each having a single antenna, we address the problem of selecting K beams with sum rate as the performance metric. We model beam selection as a two-sided matching between the two sets of players (users and beams) and consider two different ways of modeling players preferences. When the interdependences between the players' preferences are considered, it becomes matching with externalities. The proposed algorithm, which finds a stable matching in such a case, outperforms the existing beam selection algorithms.

show abstract

Development Challenges of Millimeter‐Wave 5G Beamformers

Abbasi

2020

Wiley 5G Ref

View full text Add to dashboard Cite

Beamforming is the central concept that can make millimetre-wave (mmWave) a viable solution by solving challenges of link-budget, cost, power, form factor, complexity, regulatory constraint and so on. Before deployment of mmWave beamforming solution for 5G, and possibly beyond, several fundamental questions need to be answered. Some of them include hardware constraints, performance matrices, realistic propagation channel models including impairments due to obstacles such as body, blockages due to casings, phase noise, a model for Spatial-temporal variations in channels, and advanced MIMO techniques for multi-carrier and multi-user communications. The site constraints and massive non-line-of-sight transmission within the urban environment are severely questioning the conventional terrestrial low power node deployments that used to work well at low operational frequencies (sub-6 GHz). In addition to this, in beamforming technology using massive antenna arrays, the coordination of the users and beams at the transmitter and receiver end within a large network are very challenging. In this study, we comprehensively investigate some of the most prominent and best practice solutions that attempted to answer these challenging questions.

show abstract

A Beam Selection Algorithm for Millimeter-Wave Multi-User MIMO Systems

Cited by 52 publications

References 16 publications

Spectrum and Energy Efficiency Optimization for Hybrid Precoding-Based SWIPT-Enabled mmWave mMIMO-NOMA Systems

Spectrum and Energy Efficiency Optimization for Hybrid Precoding-Based SWIPT-Enabled mmWave mMIMO-NOMA Systems

Matching Theoretic Beam Selection in Millimeter-Wave Multi-User MIMO Systems

Development Challenges of Millimeter‐Wave 5G Beamformers

Contact Info

Product

Resources

About