User Clustering and Optimized Power Allocation for D2D Communications at mmWave Underlaying MIMO-NOMA Cellular Networks

Solaiman, Suhare; Nassef, Laila; Fadel, Etimad

doi:10.1109/access.2021.3071992

Cited by 37 publications

(24 citation statements)

References 52 publications

(81 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is also retained when the CUEs’ transmission power increases. Underlay D2D for a mmWave MIMO-NOMA system is considered a model for which user clustering and power allocation solution is employed in [ 64 ]. It involves a macro cell, and within its range operate small cells that serve clusters of CUEs with orthogonal channels being assigned to each cluster, while the users in it use NOMA.…”

Section: Graph-based Ra In D2d Networkmentioning

confidence: 99%

Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications

Ivanov

Tonchev

Poulkov

et al. 2022

Sensors

View full text Add to dashboard Cite

Resource allocation (RA) has always had a prominent place in wireless communications research due to its significance for network throughput maximization, and its inherent complexity. Concurrently, graph-based solutions for RA have also grown in importance, providing opportunities for higher throughput and efficiency due to their representational capabilities, as well as challenges for realizing scalable algorithms. This article presents a comprehensive review and analysis of graph-based RA methods in three major wireless network types: cellular homogeneous and heterogeneous, device-to-device, and cognitive radio networks. The main design characteristics, as well as directions for future research, are provided for each of these categories. On the basis of this review, the concept of Graph-based Resource allocation for Integrated Space and Terrestrial communications (GRIST) is proposed. It describes the inter-connectivity and coexistence of various terrestrial and non-terrestrial networks via a hypergraph and its attributes. In addition, the implementation challenges of GRIST are explained in detail. Finally, to complement GRIST, a scheme for determining the appropriate balance between different design considerations is introduced. It is described via a simplified complete graph-based design process for resource management algorithms.

show abstract

Section: Graph-based Ra In D2d Networkmentioning

confidence: 99%

Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications

Ivanov

Tonchev

Poulkov

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Moreover, high-speed beam-forming for MIMO-NOMA was studied in [ 19 ]. The authors of [ 20 ] integrated device-to-device (D2D) communications with MIMO-NOMA to further improve SE. Consequently, in [ 20 ], a novel resource allocation scheme was proposed for the integrated system to overcome interference.…”

Section: Introductionmentioning

confidence: 99%

“…The authors of [ 20 ] integrated device-to-device (D2D) communications with MIMO-NOMA to further improve SE. Consequently, in [ 20 ], a novel resource allocation scheme was proposed for the integrated system to overcome interference. Research on the problem of resource allocation in NOMA has also been expanded to a multi-cell scenario.…”

Section: Introductionmentioning

confidence: 99%

Joint Beam-Forming, User Clustering and Power Allocation for MIMO-NOMA Systems

Wang

2022

Sensors

View full text Add to dashboard Cite

In this paper, we consider the optimal resource allocation problem for multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) systems, which consists of beam-forming, user clustering and power allocation, respectively. Users can be divided into different clusters, and the users in the same cluster are served by the same beam vector. Inter-cluster orthogonality can be guaranteed based on multi-user detection (MUD). In this paper, we propose a three-step framework to solve the multi-dimensional resource allocation problem. In step 1, we propose a beam-forming algorithm for a given user cluster. Specifically, fractional transmitting power control (FTPC) is applied for intra-cluster power allocation. The considered beam-forming problem can be transformed into a non-constrained one and the limited-memory Broyden–Fletcher–Goldfarb–Shanno (L-BFGS) method is applied to obtain the optimal solution. In step 2, optimal user clustering is further considered. Channel differences and correlations are both involved in the design of user clustering. By assigning different weights to the two factors, we can produce multiple candidate clustering schemes. Based on the proposed beam-forming algorithm, beam-forming can be done for each candidate clustering scheme to compare their performances. Moreover, based on the optimal user clustering and beam-forming schemes, in step 3, power allocation can be further optimized. Specifically, it can be formalized as a difference of convex (DC) programming problem, which is solved by successive convex approximation (SCA) with strong robustness. Simulations results show that the proposed scheme can effectively improve spectral efficiency (SE) and edge users’ data rates.

show abstract

“…The mMIMO communication networks which operate in the mmWave band are characterized by high frequency and a larger number of antennas, resulting in high path loss, large power consumption, and server interference. These problems make the spectrum efficiency largely reduced; therefore, how to improve the spectral efficiency is a significant research issue for 6G communication [1,2]. The MIMO-NOMA technology based on NOMA can serve multiple users in the same time-frequency domain, which can vastly improve spectral efficiency [3,4].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Precoding-Based Millimeter Wave Massive MIMO-NOMA Systems

Zhu

Deng

et al. 2022

Symmetry

View full text Add to dashboard Cite

A symmetry-based hybrid precoder and combiner is a high spectral efficiency structure in millimeter-wave (mmWave) massive multiple-input multiple-output (mMIMO) non-orthogonal multiple access (NOMA) system. To improve the spectral efficiency of the mmWave mMIMO-NOMA system, we first propose a user grouping scheme to suppress the strong inter-user interference caused by NOMA, then the hybrid precoder based on user channel alignment and the zero-forcing algorithm is constructed to further improve the signal-to-interference-plus-noise ratio (SINR) of the receiver. Subsequently, the non-convex spectral efficiency optimization problem is transformed into a convex optimization problem of inter-cluster power allocation and the closed-form solution for the optimal power under the minimum rate constraint is obtained by solving the KKT condition to further improve the spectral efficiency. The simulation results show that the proposed scheme can achieve higher spectral efficiency compared to orthogonal multiple access (OMA), fixed power allocation (FPA), K-means, and cluster head selection (CHS).

show abstract

User Clustering and Optimized Power Allocation for D2D Communications at mmWave Underlaying MIMO-NOMA Cellular Networks

Cited by 37 publications

References 52 publications

Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications

Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications

Joint Beam-Forming, User Clustering and Power Allocation for MIMO-NOMA Systems

Hybrid Precoding-Based Millimeter Wave Massive MIMO-NOMA Systems

Contact Info

Product

Resources

About