Low-Complexity QoS-Aware Coordinated Scheduling for Heterogeneous Networks

Zhu, Jun; Yang, Hong-Chuan

doi:10.1109/tvt.2016.2628387

Cited by 4 publications

(5 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contrast, for large BS antenna, the optimal Beamforming outperforms the non-optimal beamforming in achieving the target QoS. Thus suggesting that the optimal beamforming produced solution to coordinate with other macrocells to reduce co-channel interference and achieve the same target [36], and therefore improve the ASE without any lost to the max-min optimality. In Figure 10, we compare the ASE, BS antenna and Ricean factor.…”

Section: Performance With Mbs Beamforming Coordinationmentioning

confidence: 96%

See 1 more Smart Citation

A Performance Study of Massive MIMO Heterogeneous Networks with Ricean/Rayleigh Fading

Nyarko

Mbom

2018

Electronics

View full text Add to dashboard Cite

Massive multiple-input and multiple-out (massive MIMO) systems and heterogeneous networks (HetNet) are envisioned to meet the new performance objectives of evolving networks. Now, the main challenge of massive MIMO with HetNet in two-tier networks is how to alleviate interference generated by the randomly deployed femtocells to the macro cells. In this paper, we investigate massive MIMO with HetNet, where the intended macro base station (MBS) transmission follows Ricean fading and interfering femto BS transmissions follow Rayleigh fading. Then, by exploiting matrix and stochastic geometric tools, we derive tight approximations for the intended signal power and aggregated interfering power signal. And derive the signal-to-interference (SIR) with the convolution of the two power signals. Then, we obtain the performance objectives: coverage and outage probabilities, and area spectral efficiency. Further, to reduce the cell edge effects and improve the SIR, we study the role of massive MIMO beamforming coordination with the high-powered MBSs. Thus, we develop maxi-min optimization to control the MBS transmit power. Numerical results show that the coverage and outage performance converge for different user locations, pathloss and Ricean factor. The monotonic increase in Ricean factor improves the SIR of a user located within coverage region. Optimal values of macro BS antenna and transmit power guarantee rate-fairness between the coordinating MBSs, and avoid strong Ricean channel correlation. Also, the performance gain is dependent on the user location, but independent of the cell size.

show abstract

Section: Performance With Mbs Beamforming Coordinationmentioning

confidence: 96%

“…Now, uplink and downlink duality [36,37] is explored for CSI exchange to control the transmit power. Thus, we define the uplink power q = q 1 , q 2 ..., q Φ K T , such that the uplink beamforming are decoupled [38].…”

Section: Macro-cell Coordination and Optimizationmentioning

confidence: 99%

A Performance Study of Massive MIMO Heterogeneous Networks with Ricean/Rayleigh Fading

Nyarko

Mbom

2018

Electronics

View full text Add to dashboard Cite

show abstract

“…An examples of QoS management can be found in [216]. Also, in [217]- [219], QoS has been taken into consideration in the design of the proposed intelligent management schemes. However, an adequate modification of the schemes is crucial to accommodate the features of UDNs in combination with other 5G enabling technologies.…”

Section: ) Qosmentioning

confidence: 99%

“…Therefore, intelligent management algorithms with self-organisation and low complexity capabilities are required to tackle the challenge of network complexity in the future 5G wireless networks. An example of low complexity algorithm is presented in [217], and [220].…”

Section: ) Network Complexitymentioning

confidence: 99%

Combination of Ultra-Dense Networks and Other 5G Enabling Technologies: A Survey

2020

View full text Add to dashboard Cite

Recently, to address the astonishing capacity requirement of 5G, researchers are investigating the possibility of combining different technologies with ultra-dense networks (UDNs). However, the ultradense deployment of small cells in the coverage area of conventional macrocells known as UDNs introduces new technical challenges such as severe interference, unfairness in radio resource sharing, unnecessary handover, a significant increase in energy consumption, and degraded quality-of-service (QoS). To overcome these challenges and achieve the performance requirements in 5G, there is a need to combine UDNs with other 5G enabling technologies and then, design intelligent management techniques for better performance of the overall networks. Hence, in this paper, we present a comprehensive survey on different generations of wireless networks, 5G new radio (NR) standards, 5G enabling technologies and the importance of combining UDNs with other 5G technologies. Also, we present an extensive overview of the recent advances and research challenges in intelligent management techniques and backhaul solutions in the last five years for the combination of UDNs and other enabling technologies that offers the visions of 5G. We summarise the mathematical tools widely exploited in solving these problems and the performance metrics used to evaluate the intelligent management algorithms. Moreover, we classify various intelligent management algorithms according to the adopted enabling technologies, benefits, challenges addressed, mathematical tools and performance metrics used. Finally, we summarise the open research challenges, provide design guidelines and potential research directions for the development of intelligent management techniques and backhaul solutions for the combination of UDNs and other 5G technologies. INDEX TERMS Macrocells, small cells, ultra-dense networks, QoS.

show abstract

“…Jun Zhu et.al [3] proposed that in a HetNet a less power indoor femtocell was installed in the current MBS's (Macro Base Station's) service area. FAP (Femtocell Access Point) is a low cost and power indoor wireless contact network that offers the highest speed coverage and shortest-range coverage area.…”

Section: Related Workmentioning

confidence: 99%

A Survey on HetNet to Enhance QoS in 5G Network Using Various Techniques

G¹,

A²

2021

Advances in Parallel Computing

View full text Add to dashboard Cite

HetNet (Heterogeneous Network) has been suggested for next age group wireless systems to meet the exceptional difficulties of advanced data rates. The specifications for various levels of QoS (Quality of Service) from various kinds of wireless requests and service areas are met. In this HetNet in to improve the QoSand SINR (Signal to Interference plus Noise Ratio), many techniques have been performed to provide satisfactory outcomes. This paper gives a comparative survey on the QoS and various techniques used, which are used to enhance QoS.

show abstract

Low-Complexity QoS-Aware Coordinated Scheduling for Heterogeneous Networks

Cited by 4 publications

References 18 publications

A Performance Study of Massive MIMO Heterogeneous Networks with Ricean/Rayleigh Fading

A Performance Study of Massive MIMO Heterogeneous Networks with Ricean/Rayleigh Fading

Combination of Ultra-Dense Networks and Other 5G Enabling Technologies: A Survey

A Survey on HetNet to Enhance QoS in 5G Network Using Various Techniques

Contact Info

Product

Resources

About