Jointly optimal chunk and power allocation in uplink SC-FDMA

Mert, Teoman; Kaya, Onur; Çırpan, Hakan Ali

doi:10.1109/icc.2013.6655072

Cited by 13 publications

(26 citation statements)

References 12 publications

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“…This experimental setup aims not only to evaluate the SIP‐based VoIP performance over IMS core using wireless connectivity but also to examine voice connectivity delay and service throughput rate of the networks. As illustrated in Figure , the sum throughput rate of the proposed algorithm is significantly higher compared to UGS, rtPS, and other related services, especially when the number of emergency voice call sessions are higher. It is evident that the proposed framework achieves well‐nigh optimal performance and surmount the other existing services, namely, UGS, rtPS, and other works by at least 40%, when the number of emergency call sessions is 700.…”

Section: Resultsmentioning

confidence: 95%

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Analyzing enhanced real‐time uplink scheduling algorithm in 3GPP LTE‐advanced networks using multimedia systems

Deebak

Ever

Al‐Turjman

2018

Trans Emerging Tel Tech

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Third Generation Partnership Project (3GPP) standardizes the Long‐Term Evolution (LTE) to improve the quality of service in modern communication systems using 3GPP LTE‐advanced (LTE‐A) networks. As this technology is converging with modern devices, efficient resource allocation schemes are essential for minimization of the communication delay for the sensitive real‐time devices. To achieve the demands of latest technologies, this paper proposes two novel mechanisms, enhanced real‐time polling system with continuous time–batch Markovian arrival process and proactive resource allocation framework. The objective of the former mechanism is to improvise the service connectivity between the multimedia devices in LTE‐A networks and the latter is to exploit the transmission bits in each user's buffer in addition to the state information of wireless channel. The proposed mechanisms consider the constraints enforced by 3GPP standard in terms of radio resource blocks allocation for LTE‐A networks. In addition, the proposed mechanisms use LTE‐A networks to investigate the Voice over LTE traffic in order to analyze various quality‐of‐service measures, namely, sum throughput, session setup delay, packet delivery ratio, resource utilization ratio, and throughput improvement via real‐time multimedia client‐server systems. The probing results show that the proposed algorithm is superior in comparison to other typical services of IEEE 802.16d/e–based systems as well as LTE‐A system with 7 orthogonal frequency‐division multiplexing symbols over a duration slot 0.5 ms. While the slotted duration is set to 5 ms, the proposed framework effectively utilizes the resource allocation cycle to support the uplink scheduling to outperform at least 38% better throughput performance in comparison with existing mechanisms.

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Section: Resultsmentioning

confidence: 95%

“…The third is to make use of a common modulation and coding scheme (MCS) by all the users, which are assigned of RBs. Resource allocation problems were studied in literature –. As the existing studies have considered a full‐buffer allocation for each user, they are practically infeasible to deploy in realistic networks.…”

Section: Related Workmentioning

confidence: 99%

Analyzing enhanced real‐time uplink scheduling algorithm in 3GPP LTE‐advanced networks using multimedia systems

Deebak

Ever

Al‐Turjman

2018

Trans Emerging Tel Tech

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“…Unlike the joint allocation problem presented in [2] that assumes a constant power for all resource blocks allocated for each user, the authors in [5] propose a sequentially joint power and subchannels allocation where the power depends on the allocated subcarrier. Furthermore, they treat the case of both Localized and Interleaved SC-FDMA.…”

Section: Related Workmentioning

confidence: 99%

“…Recent works on the SC-FDMA uplink resource allocation and interference management issues are investigated in the literature [1][2][3][4][5][6][7]. Authors in [2] design an energy efficient model to allocate power and sub-channels under the main constraints respected by the SC-FDMA adopted for the uplink LTE transmission.…”

Section: Related Workmentioning

confidence: 99%

Qos-based joint resource allocation with link adaptation for SC-FDMA uplink in heterogeneous networks

Hatoum

Ghaith

Pujolle

2014

Proceedings of the 12th ACM International Symposium on Mobility Management and Wireless Access

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The LTE-based femtocell network is a promising solution adopted today to cope with the huge cellular traffic requirements. In particular, the Uplink communication becomes an attractive issue especially with the emerging of the interactive services and large uploaded data volume. Intelligent allocation of the resources and interference management are the main challenges in such context. In this paper, we propose a linear optimization model for the SC-FDMA Uplink transmission aiming to adaptively allocate resources with respect to the link quality. Both power and modulation and coding schemes are independently assigned to each user over each allocated sub-channel. The cluster architecture is adopted as a hybrid centralized/distributed network. The user differentiation strategy ensures the QoS guarantee with respect to a priority level of each user. Taking into account the specifications of the uplink communication, we confirm through comparative simulations the outperformance of our proposal considering several metrics such as throughput satisfaction rate, transmitted power, outage probability, special spectrum reuse and others.

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“…Finding global optimum for the consecutive channel allocation problems is generally hard [42,43], whereas interleaved channel allocation problems are tractable [44]. The channel allocation problems in IFDMA, e.g., throughput maximization [44] or power minimization [45], can be mapped to the classical matching problems which are polynomial-time solvable. The consecutive-channel allocation problems in LFDMA are more challenging than IFDMA.…”

Section: Utility Optimization In Sc-fdma Systemsmentioning

confidence: 99%

From Orthogonal to Non-orthogonal Multiple Access: Energy- and Spectrum-Efficient Resource Allocation

Lei¹

2016

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The rapid pace of innovations in information and communication technology (ICT) industry over the past decade has greatly improved people's mobile communication experience. This, in turn, has escalated exponential growth in the number of connected mobile devices and data traffic volume in wireless networks. Researchers and network service providers have faced many challenges in providing seamless, ubiquitous, reliable, and high-speed data service to mobile users. Mathematical optimization, as a powerful tool, plays an important role in addressing such challenging issues.This dissertation addresses several radio resource allocation problems in 4G and 5G mobile communication systems, in order to improve network performance in terms of throughput, energy, or fairness. Mathematical optimization is applied as the main approach to analyze and solve the problems. Theoretical analysis and algorithmic solutions are derived. Numerical results are obtained to validate our theoretical findings and demonstrate the algorithms' ability of attaining optimal or near-optimal solutions.Five research papers are included in the dissertation. In Paper I, we study a set of optimization problems of consecutive-channel allocation in single carrier-frequency division multiple access (SC-FDMA) systems. We provide a unified algorithmic framework to optimize the channel allocation and improve system performance. The next three papers are devoted to studying energy-saving problems in orthogonal frequency division multiple access (OFDMA) systems. In Paper II, we investigate a problem of jointly minimizing energy consumption at both transmitter and receiver sides. An energy-efficient scheduling algorithm is developed to provide optimality bounds and near-optimal solutions. Next in Paper III, we derive fundamental properties for energy minimization in load-coupled OFDMA networks. Our analytical results iii suggest that the maximal use of time-frequency resources can lead to the lowest network energy consumption. An iterative power adjustment algorithm is developed to obtain the optimal power solution with guaranteed convergence. In Paper IV, we study an energy minimization problem from the perspective of scheduling activation and deactivation of base station transmissions. We provide mathematical formulations and theoretical insights. For problem solution, a column generation approach, as well as a bounding scheme are developed. Finally, towards to 5G communication systems, joint power and channel allocation in nonorthogonal multiple access (NOMA) is investigated in Paper V in which an algorithmic solution is proposed to improve system throughput and fairness. iv Populärvetenskaplig SammanfattningDen snabba utvecklingen inom informations-och kommunikations teknikområdet har avsevärt förbättrat människors upplevelser av mobilkommunikation. Detta i sin tur har lett till en exponentiellökning av antalet anslutna mobila enheter och mängden datatrafik i mobila nätverk. Forskare och nätverksoperatörer har stått inför många utmaningar för att ...

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Jointly optimal chunk and power allocation in uplink SC-FDMA

Cited by 13 publications

References 12 publications

Analyzing enhanced real‐time uplink scheduling algorithm in 3GPP LTE‐advanced networks using multimedia systems

Analyzing enhanced real‐time uplink scheduling algorithm in 3GPP LTE‐advanced networks using multimedia systems

Qos-based joint resource allocation with link adaptation for SC-FDMA uplink in heterogeneous networks

From Orthogonal to Non-orthogonal Multiple Access: Energy- and Spectrum-Efficient Resource Allocation

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