Fast Converging Robust Beamforming for Massive MIMO in Heterogeneous Networks

Sande, M. M.; Hamouda, Soumaya; Maharaj, B. T.

doi:10.1109/access.2018.2829534

Cited by 4 publications

(1 citation statement)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The problem was formulated to maximize the sum rate of SUs under the maximum transmit power constraint. Through applying matrix stuffing and alternative direction method of multipliers, the authors in [134] investigated the fast converging robust beamforming design for the weighted sum-rate maximization problem of MUs under maximum transmit power constraint in a downlink MIMO HetNet, while imperfect CSI was considered at the transmitter. In order to enhance the user's quality of experience (QoE), the authors in [135] considered the aggregated mean opinion score (MOS) maximization-based QoE aware beamforming design problem for the downlink two-tier massive MIMO HetNet.…”

Section: F Ra In Multi-antenna Hetnetsmentioning

confidence: 99%

A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges

Gui

Gacanin

et al. 2021

IEEE Commun. Surv. Tutorials

413

View full text Add to dashboard Cite

In the fifth-generation (5G) wireless communications system, various service requirements under different communication environments are expected to be satisfied. As a new evolution network structure, heterogeneous networks (HetNet) have been fully studied in recent years. In contrast to conventional homogeneous networks, the key feature of HetNet is to increase the opportunity of spatial resource reuse and improve the quality of service of users by allowing small cells to cooperate in macrocell networks. However, since the mutual interference among different users and the limited resource are existing in HetNets, efficient resource allocation (RA) schemes are very important to reduce the interference and achieve spectrum sharing. In this paper, we provide a comprehensive survey on RA in HetNets for 5G communications. Specifically, we first introduce the definition and different network scenarios of HetNet. Second, RA models are discussed. Then, we present classification to analyze current RA schemes in the existing references. Finally, some challenging open issues and future research trends are addressed in this field. We also provide two effective approaches for the sixth-generation (6G) communications to solve the RA problems of future Het-Nets, namely, a learning-based approach and a control theorybased approach. This paper provides important information on HetNets, which can be used to guide the development of more efficient RA schemes in this area.

show abstract

Section: F Ra In Multi-antenna Hetnetsmentioning

confidence: 99%