On the Utilization of Multi-Mode User Equipment in Multi-Radio Access Technology Cellular Communication Systems

Alsohaily, Ahmed; Sousa, E.S.

doi:10.1109/access.2015.2440992

Cited by 8 publications

(7 citation statements)

References 5 publications

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“…In other cases, M-RAT is associated with the use (at times concurrent) of different kinds of wireless standards, such as IEEE 802.11, IEEE 802.16, and cellular [7] or, more recently, is seen in manuscripts that deal with the possible coexistence of different vehicular networks' standards, such as DSRC and C-V2X [8]. Instead, the paradigm studied in this paper regards the co-location of multiple cellular standards into single radio items, a trend pursued by the industry [2] and also studied in academia [4]. The topic received substantially more consideration with the advent of 5G [9]- [11] with particular attention to dual connectivity, given that the feature has been included in the 3GPP 5G standard [12], [13].…”

Section: Related Work and Data Sourcesmentioning

confidence: 99%

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The Energy Footprint of 5G Multi-RAT Cellular Architectures

2021

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While environmental and financial reasons point to the minimization of the number of radio sites to contain energy use, emissions, and operating expenses of cellular networks, the industry has, in retrospect, partly headed in the opposite direction. The reasons are the deployment of new technologies alongside the existing ones, the use of higher frequencies, and the expansion of radio coverage. In some cases, the issue has been addressed by replacing legacy access sites with Multi-RAT infrastructures, composed of individual radio elements that run multiple technologies concurrently. Now, the transition to 5G poses additional challenges. This paper reviews Multi-RAT architectures, outlines their benefits, discusses how 5G can be integrated, and provides guidance in terms of architectural recommendations, all from an energy consumption standpoint. Specifically, we firstly summarize the transition of monolithic base stations into modern radio elements, exposing the energy rationale and discussing the impact of each main network component. From this basis, we survey different deployment strategies and evaluate their energy implications in light of the constraints and opportunities given by the 5G New Radio standard, its flagship applications, and its transport requirements. Then, we lay down energy-saving estimates quantifying the contribution of each main network segment, revealing the most promising architectures, and identifying the main challenges and the research directions ahead.

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Section: Related Work and Data Sourcesmentioning

confidence: 99%

“…This paradigm shift has been called Multi-Radio Access Technology (M-RAT) [4], and its further generalization to include 5G together with the energy implications are discussed in this article. Firstly, we introduce related work, as well as the sources for the data and assumptions presented in the rest of the manuscript (Section II).…”

Section: Introductionmentioning

confidence: 99%

The Energy Footprint of 5G Multi-RAT Cellular Architectures

2021

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“…Similarly, Alsohaily et al [19] analyzed the user access for multi-radio which also lags with intercell communication. The resource allocation in smart devices is considered by Huang et al [20] and introduced a protocol based algorithm by using Nash equilibrium which brings better gain and sum rate.…”

Section: -The Backgroundmentioning

confidence: 99%

Integrated approach for efficient power consumption and resource allocation in MIMO-OFDMA

Archana¹,

Surekha²

2020

IJECE

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The growing interest towards wireless communication advancement with smart devices has provided the desired throughput of wireless communication mechanisms. But, attaining high-speed data packets amenities is the biggest issue in different multimedia applications. Recently, OFDM has come up with the useful features for wireless communication however it faces interference issues at carrier level (intercarrier interferences). To resolve these interference issues in OFDM, various existing mechanisms were utilized cyclic prefix, but it leads to redundancy in transmitted data. Also, the transmission of this redundant data can take some more power and bandwidth. All these limitations factors can be removed from a parallel cancellation mechanism. The integration of parallel cancellation and Convolution Viterbi encoding and decoding in MIMO-OFDMA will be an effective solution to have high data rate which also associations with the benefits of both the architectures of MIMO and OFDMA modulation approaches. This paper deals with this integrated mechanism for efficient resource allocation and power consumption. For performance analysis, MIMO-OFDMA system is analyzed with three different approaches likeMIMO-OFDM system without parallel cancellation (MIMO-OFDMA-WPC), MIMO-OFDMA System with parallel cancellation (MIMO-OFDMA-PC) and proposed IMO-OFDMA system with parallel cancellation and Convolution Viterbi encoding/decoding (pMIMO-OFDMA-PC &CVed) for 4x4 transmitter and receiver. Through performance analysis, it is found that the proposed system achieved better resource allocation (bandwidth) with high data rate by minimized BER rate and achieved least power consumption with least BER.

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“…As discussed above the OFDM systems faces a problem with inter-cell interference and to mitigate those issues Perez et al [10] have given a self-organizing algorithm, and with that, the system performance of OFDM is enhanced. Alsohaily et al [11] also examined multi-radio communication device accesses. Huang et al [12] uses Nash equilibrium to present the protocol-based algorithm to distribute the asset to smart devices.…”

Section: Review Of Literaturementioning

confidence: 99%

Performance Enhancement in MIMO-OFDMA System

Surekha*

2019

IJITEE

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The systematic advancement in wireless communication has provided many significant aspects towards communication domain. However, obtaining the high-speed data transmission is still a biggest concern in various multimedia-based applications. Multiple Input Multiple Output - Orthogonal Frequency Division Multiplexing Access (MIMO-OFDMA) based communication is widespread towards research area. In addition, the combination of MIMO-OFDMA with the steering antenna can lead to improved communication efficiency and offer diversity gain without changing radio frequency (RF). This paper introduces systems for power allocation and resource allocation by A) low complex compressive channel approximation (CSCE) and b) combined parallel cancelation and Viterbi encoding / decoding (PCVed). The outcome of compressive sensing based system brings reduced Bit Error Rate (BER) and less computational complexity while the performance analysis PCVed with different approaches for 4x4 transmitter and receiver.

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On the Utilization of Multi-Mode User Equipment in Multi-Radio Access Technology Cellular Communication Systems

Cited by 8 publications

References 5 publications

The Energy Footprint of 5G Multi-RAT Cellular Architectures

The Energy Footprint of 5G Multi-RAT Cellular Architectures

Integrated approach for efficient power consumption and resource allocation in MIMO-OFDMA

Performance Enhancement in MIMO-OFDMA System

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