Title
Optimal and Approximation Algorithms for Joint Routing and Scheduling in Millimeter-Wave Cellular Networks
Abstract
Millimeter-wave (mmWave) communication is a promising technology to cope with the exponential increase in 5G data traffic. Such networks typically require a very dense deployment of base stations. A subset of those, so-called macro base stations, feature high-bandwidth connection to the core network, while relay base stations are connected wirelessly. To reduce cost and increase flexibility, wireless backhauling is needed to connect both macro to relay as well as relay to relay base stations. The characteristics of mmWave communication mandates new paradigms for routing and scheduling. The paper investigates scheduling algorithms under different interference models. To showcase the scheduling methods, we study the maximum throughput fair scheduling problem. Yet the proposed algorithms can be easily extended to other problems. For a full-duplex network under the no interference model, we propose an efficient polynomial-time scheduling method, the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">schedule-oriented optimization</italic> . Further, we prove that the problem is NP-hard if we assume pairwise link interference model or half-duplex radios. Fractional weighted coloring based approximation algorithms are proposed for these NP-hard cases. Moreover, the approximation algorithm parallel data stream scheduling is proposed for the case of half-duplex network under the no interference model. It has better approximation ratio than the fractional weighted coloring based algorithms and even attains the optimal solution for the special case of uniform orthogonal backhaul networks.
Year
DOI
Venue
2020
10.1109/TNET.2020.3006312
IEEE/ACM Transactions on Networking
Keywords
DocType
Volume
Scheduling,Relays,Interference,Approximation algorithms,Routing,Base stations,Radio frequency
Journal
28
Issue
ISSN
Citations 
5
1063-6692
1
PageRank 
References 
Authors
0.38
26
4
Name
Order
Citations
PageRank
Dingwen Yuan1475.63
Hsuan-Yin Lin2259.68
Jörg Widmer3874.21
Matthias Hollick475097.29