2017
DOI: 10.1109/twc.2017.2660489
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A Random Access Protocol for Pilot Allocation in Crowded Massive MIMO Systems

Abstract: Abstract-The Massive MIMO (multiple-input multipleoutput) technology has great potential to manage the rapid growth of wireless data traffic. Massive MIMO achieves tremendous spectral efficiency by spatial multiplexing of 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 l… Show more

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Cited by 138 publications
(185 citation statements)
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“…Step 4: Termed by contention resolution and comprises of one or multiple steps that are envisioned to avoid collision [8], [9]. …”
Section: )mentioning
confidence: 99%
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“…Step 4: Termed by contention resolution and comprises of one or multiple steps that are envisioned to avoid collision [8], [9]. …”
Section: )mentioning
confidence: 99%
“…techniques are reviewed, over traditional techniques for pilot allocation in MIMO based network and random-access protocol techniques used for pilot allocation in over-crowded Long term evolution (LTE) network [8], [9].Future of mobile network is facing immense numbers of linked user equipment's or UE's that mutually request for immense data volumes [12]. As the allotted cellular frequency resources are limited, hence, magnifying improvements are required in the spectral efficiency [13].…”
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confidence: 99%
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“…Recent work utilizing temporal correlation for channel estimation is found in [13], although not in combination with pilot hopping and not with the purpose of mitigating pilot contamination. Random selection of pilot sequences is also explored in [14] and [15]. Both works consider the random access problem in cellular networks.…”
Section: Introductionmentioning
confidence: 99%
“…Both works consider the random access problem in cellular networks. In [14], pilot contamination is avoided through a distributed collision detection algorithm, which enables users with weak channels to detect that they are contaminators of a user with a strong channel and as a result postpone their transmission. The work in [15] considers codeword transmissions that are spread across multiple time slots, each with a different contaminator.…”
Section: Introductionmentioning
confidence: 99%