Five disruptive technology directions for 5G

Boccardi, Federico; Heath, Robert W.; Lozano, Angel; Marzetta, Thomas L.; Popovski, Petar

doi:10.1109/mcom.2014.6736746

Cited by 3,464 publications

(2,073 citation statements)

References 12 publications

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“…Frequency bands that appear to have the most potential are 28-30 GHz, the unlicensed 60 GHz band that covers various portions from 57-66 GHz that is country specific, E-band 71-76 GHz and 81-86 GHz, and 92-95 GHz (Boccardi et al 2014). There will of course be significant regulatory changes required to make these mmWave bands available for cellular networks.…”

Section: Massive Array Hardwares Andmentioning

confidence: 99%

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Towards 5th generation cellular mobile networks

Zhang¹,

Cheng²,

Weily³

et al. 2014

ajTDE

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SummaryCellular mobile networks have enabled ubiquitous communications and largely changed the way we live and work. At the same time, the network itself has been undergoing significant changes in the process of meeting our ever increasing demands on data rate and quality of service. In this article, we show the path of the evolution in both standards and techniques, and provide our vision for the future of the cellular networks. We review the evolution of international standards for cellular mobile networks in the last two decades, describe how the network layout has been migrating from rigid cellular architecture to random and dense small cells, and provide an indepth discussion on potential enabling techniques for the next generation (5G) cellular networks, particularly massive MIMO and multiband base-station antennas.

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Section: Massive Array Hardwares Andmentioning

confidence: 99%

“…It is estimated that 5G may be introduced in the late 2010s. Five disruptive technologies for 5G are described in Boccardi et al (2014), including device-centric architectures, millimetre wave, massive MIMO, smarter devices and native support for machine-to-machine communications. The following techniques, in our opinion, could become the foundations of 5G:…”

mentioning

confidence: 99%

Towards 5th generation cellular mobile networks

Zhang¹,

Cheng²,

Weily³

et al. 2014

ajTDE

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“…Using an accurate characterization of noise and interference caused by other calls from the given cell, as well as from the surrounding cells (which is absent from other proposals), we show that the scheme is capable of achieving satisfactory performance, as well as sufficient differentiation between traffic classes. It is, thus, suitable for the massive Machine-Type Communications (mMTC) scenario-i.e., a large number of MTC devices with short messages and low arrival rates-which represents one of the major use cases for the development of 5G radio and network technology [14]. Furthermore, our scheme allows M2M terminals to actually transmit data during PRACH access, which in most cases should suffice given the short messages typical for M2M devices, whereas other schemes use random access to initiate a connection and send actual data only later, which increases message latency and leads to inefficient utilization of the available bandwidth.…”

Section: Introductionmentioning

confidence: 99%

Priority-Based Machine-To-Machine Overlay Network over LTE for a Smart City

Khan

Mišić

2018

JSAN

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Long-Term Evolution (LTE) and its improvement, Long-Term Evolution-Advanced (LTE-A), are attractive choices for Machine-to-Machine (M2M) communication due to their ubiquitous coverage and high bandwidth. However, the focus of LTE design was high performance connection-based communications between human-operated devices (also known as human-to-human, or H2H traffic), which was initially established over the Physical Random Access Channel (PRACH). On the other hand, M2M traffic is mostly based on contention-based transmission of short messages and does not need connection establishment. As a result, M2M traffic transmitted over LTE PRACH has to use the inefficient four-way handshake and compete for resources with H2H traffic. When a large number of M2M devices attempts to access the PRACH, an outage condition may occur; furthermore, traffic prioritization is regulated only through age-based power ramping, which drives the network even faster towards the outage condition. In this article, we describe an overlay network that allows a massive number of M2M devices to coexist with H2H traffic and access the network without going through the full LTE handshake. The overlay network is patterned after IEEE 802.15.6 to support multiple priority classes of M2M traffic. We analyse the performance of the joint M2M and H2H system and investigate the trade-offs needed to keep satisfactory performance and reliability for M2M traffic in the presence of H2H traffic of known intensity. Our results confirm the validity of this approach for applications in crowd sensing, monitoring and others utilized in smart city development.

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“…In particular, opportunistic D2D communications have been proposed as one of the 5G candidate technologies for supporting reliable 5G communications [3][4][5][6][7][8]. D2D communication technology could provide high data rates with lower energy consumption due to the relatively short transmission ranges involved, while it may increase the latency due to the multihop transmission among end devices without a base station (BS).…”

Section: Introductionmentioning

confidence: 99%

BiPAD: Binomial Point Process Based Energy-Aware Data Dissemination in Opportunistic D2D Networks

et al. 2018

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Abstract:In opportunistic device-to-device (D2D) networks, the epidemic routing protocol can be used to optimize the message delivery ratio. However, it has the disadvantage that it causes excessive coverage overlaps and wastes energy in message transmissions because devices are more likely to receive duplicates from neighbors. We therefore propose an efficient data dissemination algorithm that can reduce undesired transmission overlap with little performance degradation in the message delivery ratio. The proposed algorithm allows devices further away than the k-th furthest distance from the source device to forward a message to their neighbors. These relay devices are determined by analysis based on a binomial point process (BPP). Using a set of intensive simulations, we present the resulting network performances with respect to the total number of received messages, the forwarding efficiency and the actual number of relays. In particular, we find the optimal number of relays to achieve almost the same message delivery ratio as the epidemic routing protocol for a given network deployment. Furthermore, the proposed algorithm can achieve almost the same message delivery ratio as the epidemic routing protocol while improving the forwarding efficiency by over 103% when k ≥ 10.

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Five disruptive technology directions for 5G

Cited by 3,464 publications

References 12 publications

Towards 5th generation cellular mobile networks

Towards 5th generation cellular mobile networks

Priority-Based Machine-To-Machine Overlay Network over LTE for a Smart City

BiPAD: Binomial Point Process Based Energy-Aware Data Dissemination in Opportunistic D2D Networks

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