IEEE Transactions on Wireless Communications · 2017 · 164 citations · 33 references
EngineeringCommunicationElectrical EngineeringComputer NetworksDigital CommunicationWireless CommunicationsCollision DetectionInterference ManagementMassive Multiple-input Multiple-outputMultiple Access TechniquesWireless NetworksMassive Mimo Interference MitigationMassive Mimo Spectral EfficiencyMassive Multiple-input Multiple-output Multiple AccessMimoMultiple-input Multiple-output CommunicationMultiple-input Multiple-output Multiple AccessSpatial MultiplexingSpectral Efficiency
The massive multiple-input multiple-output (MIMO) technology has great potential to manage the rapid growth of wireless data traffic. Massive MIMO achieves tremendous spectral efficiency by spatial multiplexing many tens of user equipments (UEs). These gains are only achieved in practice if many more UEs can connect efficiently to the network than today. As the number of UEs increases, while each UE intermittently accesses the network, the random access functionality becomes essential to share the limited number of pilots among the UEs. In this paper, we revisit the random access problem in the Massive MIMO context and develop a reengineered protocol, termed <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">strongest-user collision resolution</i> (SUCRe). An accessing UE asks for a dedicated pilot by sending an uncoordinated random access pilot, with a risk that other UEs send the same pilot. The favorable propagation of massive MIMO channels is utilized to enable distributed collision detection at each UE, thereby determining the strength of the contenders’ signals and deciding to repeat the pilot if the UE judges that its signal at the receiver is the strongest. The SUCRe protocol resolves the vast majority of all pilot collisions in crowded urban scenarios and continues to admit UEs efficiently in overloaded networks.
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Fundamentals of Statistical Signal Processing: Estimation Theory
Sailes K. Sengijpta · Technometrics · 1995 · 11.3K citations
Table of Integrals, Series and Products.
Y. L., I. S. Gradshteyn, I. M. Ryzhik · Mathematics of Computation · 1981 · 8.6K citations
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Natural Sciences, Computer Science, Differential Equations +7