Future steps of LTE-A: evolution toward integration of local area and wide area systems

Kishiyama, Yoshihisa; Benjebbour, Anass; Nakamura, Takehiro; Ishii, Hiroyuki

doi:10.1109/mwc.2013.6472194

Cited by 136 publications

(71 citation statements)

References 9 publications

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“…Recently, some works have envisioned the UC architecture as one of the core features of the 5G networks [1], [2], [4]- [6], [8], [12]- [14]. Not all the authors considered the full UC paradigm; some of them either considered the separation of uplink and downlink [2] or separating control and data planes [5].…”

Section: Related Workmentioning

confidence: 99%

“…5G networks should achieve combined gains in three categories: extreme densification and offloading, increased bandwidth and increased spectral efficiency in order to support 1,000-fold gains in capacity and connections for at least 100 billion devices. The demand in capacity gain would increase the consumed energy by the network by a factor of 100 [1]- [5].…”

Section: Introductionmentioning

confidence: 99%

“…The UE can decide whether to establish connectivity with the same cell or with different cells in the uplink and downlink communication. In this perspective, new carrier type was proposed in [5] where user/data and control planes can be separated in UEs by small cells at higher frequency bands (mmWave). This is expected to reduce the frequent handover between small cells and macrocell and among small cells.…”

Section: Introductionmentioning

confidence: 99%

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An Energy-Efficient User-Centric Approach High-Capacity 5G Heterogeneous Cellular Networks

Ghaleb¹,

Mansoor²,

Ahmad³

2018

ijacsa

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Abstract-Today's cellular networks (3G/4G) do not scale well in heterogeneous networks (HetNets) of multiple technologies that employ network-centric (NC) model. This destabilization is due to the need for coordination and management of multiple layers of the HetNets that the NC models cannot provide. User-centric (UC) approach is one of the key enablers of 5G wireless cellular networks for rapid recovering from network failures and ensuring certain communication capability for the users. In this paper, we present resource-aware energy-saving technique based on the UC model for LTE-A HetNets. We formulate an optimization problem for UC as a mixed linear integer programming (MILP) that minimizes the total power consumption (Energy Efficiency) while respecting the data rate per user and propose a low complexity iterative algorithm to user terminal (UE)-eNodeB association. In UC model, UE possessing terminal intelligence can establish the transmission and reception with different cells within the LTE-A HetNet assuming the existence of coordination between the different cells in the network. The performance is evaluated in terms of energy saving in the uplink and downlink and the added capacity to the network (data rate). The evaluation is carried out by comparing a UC model against a NC model with the same simulation setup. The results show significant percentage of energy saving at eNodeBs and UEs in a UC model. Also, system capacity is enhanced in the UC model in both the uplink and downlink due to utilizing best channel gain for transmission and reception.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Energy-Efficient User-Centric Approach High-Capacity 5G Heterogeneous Cellular Networks

Ghaleb¹,

Mansoor²,

Ahmad³

2018

ijacsa

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“…The motivations and the major benefits of the Phantom cell architecture are similar to those of advanced C-RAN architecture for LTE-Advanced, which include enhanced capacity by small cells, easy deployment of higher frequency bands, and small cell deployment without impact on mobility management. However, the concept of Phantom cell architecture includes a wider range of advanced functionalities, such as inter-node aggregation, relaxed backhauling and signaling requirements, and enhanced small cell discovery [7], [8]. Our 5G concept uses the Phantom cell architecture as the baseline, upon which to integrate future multi-layer networks using lower and higher frequency bands.…”

Section: Phantom Cellmentioning

confidence: 99%

5G Radio Access: Requirements, Concept and Experimental Trials

Nakamura

Benjebbour

Kishiyama

et al. 2015

IEICE Trans. Commun.

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SUMMARY Currently, many operators worldwide are deploying Long Term Evolution (LTE) to provide much faster access with lower latency and higher efficiency than its predecessors 3G and 3.5G. Meanwhile, the service rollout of LTE-Advanced, which is an evolution of LTE and a "true 4G" mobile broadband, is being underway to further enhance LTE performance. However, the anticipated challenges of the next decade (2020s) are so tremendous and diverse that there is a vastly increased need for a new generation mobile communications system with even further enhanced capabilities and new functionalities, namely a fifth generation (5G) system. Envisioning the development of a 5G system by 2020, at DOCOMO we started studies on future radio access as early as 2010, just after the launch of LTE service. The aim at that time was to anticipate the future user needs and the requirements of 10 years later (2020s) in order to identify the right concept and radio access technologies for the next generation system. The identified 5G concept consists of an efficient integration of existing spectrum bands for current cellular mobile and future new spectrum bands including higher frequency bands, e.g., millimeter wave, with a set of spectrum specific and spectrum agnostic technologies. Since a few years ago, we have been conducting several proof-of-concept activities and investigations on our 5G concept and its key technologies, including the development of a 5G real-time simulator, experimental trials of a wide range of frequency bands and technologies and channel measurements for higher frequency bands. In this paper, we introduce an overview of our views on the requirements, concept and promising technologies for 5G radio access, in addition to our ongoing activities for paving the way toward the realization of 5G by 2020.

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“…Moreover, the total wireless communication traffic volume in 2021 is estimated to be nearly 200 times the traffic volume in 2010 [5,6]. Because of the increase in the number of small cells being introduced in the 5th generation mobile communication systems (5th Generation: 5G) after LTE-Advanced, BSs that can accommodate the further number of users are required [7,8].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Downlink Multi-Beam Massive MIMO with Simple Transmission Scheme at Both Base and Terminal Stations

et al. 2017

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Multi-beam massive multiple-input-multiple-output (MIMO) configurations that utilize high-power beam selection in the analog parts and blind algorithms such as the constant modulus algorithm (CMA), which do not require channel state information (CSI), in the digital parts, have been proposed in the literature to improve the transmission rates and efficiency. In this paper, we evaluate the transmission performance in the downlink, with simple control at the base station (BS) and user terminal (UTs), for massive MIMO transmissions. Through computer simulations, it is shown that the analog multi-beam selection at the BS and the application of CMA at the UT with two antennas can effectively realize transmissions with high-order modulation schemes. In addition, the weight update switching by the CMA is proposed in order to obtain fast and stable performance with a realistic data size.

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Future steps of LTE-A: evolution toward integration of local area and wide area systems

Cited by 136 publications

References 9 publications

An Energy-Efficient User-Centric Approach High-Capacity 5G Heterogeneous Cellular Networks

An Energy-Efficient User-Centric Approach High-Capacity 5G Heterogeneous Cellular Networks

5G Radio Access: Requirements, Concept and Experimental Trials

Performance Evaluation of Downlink Multi-Beam Massive MIMO with Simple Transmission Scheme at Both Base and Terminal Stations

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