Integrated Access and Backhaul in 5G mmWave Networks: Potential and Challenges

Polese, Michele; Giordani, Marco; Zugno, Tommaso; Roy, Arnab; Goyal, Sanjay; Castor, Douglas; Zorzi, Michele

doi:10.1109/mcom.001.1900346

Cited by 185 publications

(138 citation statements)

References 13 publications

Supporting

Mentioning

138

Contrasting

Order By: Relevance

“…Since fiber backhauling is costly at such densities, many of those APs This work extends results presented at the IEEE Information Theory and Applications Workshop (ITA), La Jolla, February 2016 [1]. 1 will have wireless Integrated Access and Backhaul (IAB) in the same mmWave band [4], [5], acting as Relay Nodes (RN) rather than Base Stations (BS) as shown in Fig. 1.…”

Section: Introductionmentioning

confidence: 72%

“…By contradiction, if no such linear combination existed, then at least one queue would grow to infinity, the network would not be stable, and x V / ∈ X . Finally, we note that min p q T (R T − R)1 N F,1 is equivalent to max p q T (R − R T )1 N F,1 and both are MBP in (5), therefore q T (R T MBP − R MBP )1 N F,1 < q T ((R V ) T − R V )1 N F,1 , and…”

Section: Appendix B Proof Of Num and Throughput Optimalitymentioning

confidence: 87%

See 1 more Smart Citation

Optimal Link Scheduling in Millimeter Wave Multi-Hop Networks With MU-MIMO Radios

Gómez-Cuba

Zorzi

2020

IEEE Trans. Wireless Commun.

Self Cite

View full text Add to dashboard Cite

This paper studies the maximum throughput achievable with optimal scheduling in multi-hop mmWave picocellular networks with Multi-user Multiple-Input Multiple-Output (MU-MIMO) radios. MU-MIMO enables simultaneous transmission to multiple receivers (Space Division Multiplexing) and simultaneous reception from multiple transmitters (Space Division Multiple Access). The main contribution is the extension to MU-MIMO of the Network Utility Maximization (NUM) scheduling framework for multi-hop networks. We generalize to MU-MIMO the classic proof that Maximum Back Pressure (MBP) scheduling is NUM optimal. MBP requires the solution of an optimization that becomes harder with MU-MIMO radios. In prior models with one-to-one transmission and reception, each valid schedule was a matching over a graph. However, with MU-MIMO each valid schedule is, instead, a Directed Bipartite SubGraph (DBSG). In the general case this prevents finding efficient algorithms to solve the scheduler. We make MU-MIMO MBP scheduling tractable by assuming fixed power allocation, so the optimal scheduler is the Maximum Weighted DBSG. The MWDBSG problem can be solved using standard Mixed Integer Linear Programing. We simulate multi-hop mmWave picocellular networks and show that a MU-MIMO MBP scheduler enables a 160% increase in network throughput versus the classic one-to-one MBP scheduler, while fair rate allocation mechanisms are used in both cases.

show abstract

Section: Introductionmentioning

confidence: 72%

Section: Appendix B Proof Of Num and Throughput Optimalitymentioning

confidence: 87%

Optimal Link Scheduling in Millimeter Wave Multi-Hop Networks With MU-MIMO Radios

Gómez-Cuba

Zorzi

2020

IEEE Trans. Wireless Commun.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In 5G networks with mmWave communications, a high density of small cell BSs poses a challenge for backhaul connectivity. Integrated access backhaul (IAB) solves this problem by allowing the use of wireless spectrum for backhaul communications instead of wired connections [281][282][283]. In rural areas, the density is generally low and ultra dense small cell deployments, although can occur in some relatively dense population agglomerations, are not the norm.…”

Section: F Integrated Access Backhaulmentioning

confidence: 99%

“…The backhaul section using mmWave can resort to massive MIMO to increase the transmission range. In [283], system level simulations are performed to demonstrate the enhancements in cell throughput due to using IAB. In [282], the multihop IAB features, especially those being considered for standardization, are discussed and analyzed.…”

Section: F Integrated Access Backhaulmentioning

confidence: 99%

A Key 6G Challenge and Opportunity—Connecting the Base of the Pyramid: A Survey on Rural Connectivity

2020

View full text Add to dashboard Cite

Providing connectivity to around half of the world population living in rural or underprivileged areas is a tremendous challenge, but also a unique opportunity. Access to the internet would provide the population living in these areas a possibility to progress on the educational, health, environment, and business levels. In this paper, a survey of technologies for providing connectivity to rural areas, and that can help address this challenge, is provided. Although access/fronthaul and backhaul techniques are discussed in the paper, it is noted that the major limitation for providing connectivity to rural and underprivileged areas is the cost of backhaul deployment. In addition, energy requirements and cost efficiency of the studied technologies are analyzed. In fact, the challenges faced for deploying an electricity network, as a prerequisite for deploying communication networks, are huge in these areas and they are granted an important share of the discussions in this paper. Furthermore, typical application scenarios in rural areas are discussed, and several country-specific use cases are surveyed. The main

show abstract

“…Also, [19] uses simulated annealing algorithms for joint scheduling and power allocation. The maximum extended coverage area of a single fiber site using multi-hop relaying is investigated in [20], and [21], [22] perform end-to-end simulations to check the feasibility/challenges of mmWave-based IAB networks. Also, [23] provides useful insights for IAB deployments, especially, related to network densification and multi-hop topology, as it simulates a multi-hop mmWave picocell network, and evaluates the user throughput.…”

Section: Introductionmentioning

confidence: 99%

On Integrated Access and Backhaul Networks: Current Status and Potentials

Madapatha

Makki

Fang

et al. 2020

IEEE Open J. Commun. Soc.

View full text Add to dashboard Cite

In this paper, we introduce and study the potentials and challenges of integrated access and backhaul (IAB) as one of the promising techniques for evolving 5G networks. We study IAB networks from different perspectives. We summarize the recent Rel-16 as well as the upcoming Rel-17 3GPP discussions on IAB, and highlight the main IAB-specific agreements on different protocol layers. Also, concentrating on millimeter wave-based communications, we evaluate the performance of IAB networks in both dense and suburban areas. Using a finite stochastic geometry model, with random distributions of IAB nodes as well as user equipments (UEs) in a finite region, we study the service coverage rate defined as the probability of the event that the UEs' minimum rate requirements are satisfied. We present comparisons between IAB and hybrid IAB/fiber-backhauled networks where a part or all of the small base stations are fiber-connected. Finally, we study the robustness of IAB networks to weather and various deployment conditions and verify their effects, such as blockage, tree foliage, rain as well as antenna height/gain on the coverage rate of IAB setups, as the key differences between the fiber-connected and IAB networks. As we show, IAB is an attractive approach to enable the network densification required by 5G and beyond.

show abstract

Integrated Access and Backhaul in 5G mmWave Networks: Potential and Challenges

Cited by 185 publications

References 13 publications

Optimal Link Scheduling in Millimeter Wave Multi-Hop Networks With MU-MIMO Radios

Optimal Link Scheduling in Millimeter Wave Multi-Hop Networks With MU-MIMO Radios

A Key 6G Challenge and Opportunity—Connecting the Base of the Pyramid: A Survey on Rural Connectivity

On Integrated Access and Backhaul Networks: Current Status and Potentials

Contact Info

Product

Resources

About