Şadi, Yalçın

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ŞADI, Yalçın
Şadi,Y.
Sadi,Y.
Yalçın Şadi
ŞADI, YALÇIN
Şadi, Y.
Sadi, Y.
Y. Sadi
Yalçın ŞADI
YALÇIN ŞADI
Sadi,Yalcin
S., Yalcin
Sadi, Yalçın
Şadi, Yalçın
Yalçın Sadi
Sadi Y.
Ş., Yalçın
Y. Şadi
Şadi, YALÇIN
Sadi, Yalcin
Yalcin, Sadi
S.,Yalcin
Şadi Y.
Şadi, Yalçın
Job Title
Dr. Öğr. Üyesi
Email Address
Main Affiliation
Electrical-Electronics Engineering
Status
Current Staff
Website
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

15

LIFE ON LAND
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16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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14

LIFE BELOW WATER
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6

CLEAN WATER AND SANITATION
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3

GOOD HEALTH AND WELL-BEING
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17

PARTNERSHIPS FOR THE GOALS
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4

QUALITY EDUCATION
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ZERO HUNGER
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10

REDUCED INEQUALITIES
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7

AFFORDABLE AND CLEAN ENERGY
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1

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CLIMATE ACTION
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NO POVERTY
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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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8

DECENT WORK AND ECONOMIC GROWTH
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SUSTAINABLE CITIES AND COMMUNITIES
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GENDER EQUALITY
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Documents

32

Citations

471

h-index

12

Documents

30

Citations

357

Scholarly Output

28

Articles

13

Views / Downloads

150/2814

Supervised MSc Theses

4

Supervised PhD Theses

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WoS Citation Count

216

Scopus Citation Count

287

WoS h-index

9

Scopus h-index

9

Patents

0

Projects

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WoS Citations per Publication

7.71

Scopus Citations per Publication

10.25

Open Access Source

15

Supervised Theses

4

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JournalCount
EURASIP Journal on Wireless Communications and Networking2
Internet Technology Letters2
2020 2nd 6G Wireless Summit (6G SUMMIT)2
IEEE Transactions on Wireless Communications2
29th Ieee Conference on Signal Processing and Communications Applications (Siu 2021)1
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Scholarly Output Search Results

Now showing 1 - 10 of 28
  • Article
    Citation - WoS: 37
    Citation - Scopus: 40
    Joint Optimization of Wireless Network Energy Consumption and Control System Performance in Wireless Networked Control Systems
    (IEEE-INST Electrical Electronics Engineers Inc, 2017) Şadi, Yalçın; Ergen, Sinem Coleri
    Communication system design for wireless networked control systems requires satisfying the high reliability and strict delay constraints of control systems for guaranteed stability with the limited battery resources of sensor nodes despite the wireless networking induced non-idealities. These include non-zero packet error probability caused by the unreliability of wireless transmissions and non-zero delay resulting from packet transmission and shared wireless medium. In this paper we study the joint optimization of control and communication systems incorporating their efficient abstractions practically used in real-world scenarios. The proposed framework allows including any non-decreasing function of the power consumption of the nodes as the objective any modulation scheme and any scheduling algorithm. We first introduce an exact solution method based on the analysis of the optimality conditions and smart enumeration techniques. Then we propose two polynomial-time heuristic algorithms based on intelligent search space reduction and smart searching techniques. Extensive simulations demonstrate that the proposed algorithms perform very close to optimal and much better than previous algorithms at much smaller runtime for various scenarios.
  • Master Thesis
    Quality of Service Constrained Scheduling for Massive M2m Communications in Future Cellular Networks
    (Kadir Has Üniversitesi, 2018) Mohemine, Muhammad Abdul; Şadi, Yalçın
    Radio resource allocation for massive M2M communications is one of the key problems in next generation cellular networks. Satisfying strict and very diverse quality-of-service requirements increases the hardness of this problem. in this thesis flexible scheduling problem for massive M2M communications is solved considering the physical layer architecture of 5G cellular networks. First envisioned physical layer architectures and waveforms proposed for 5G are investigated and a physical layer architecture model that will allow flexible resource allocation is proposed. Then a flexible radio resource allocation algorithm is proposed based on this model. The performance of the algorithm is shown through extensive simulations.
  • Conference Object
    Citation - WoS: 11
    Citation - Scopus: 13
    Flexible Physical Layer Based Resource Allocation for Machine Type Communications Towards 6g
    (Institute of Electrical and Electronics Engineers Inc., 2020) Şadi, Yalçın; Erküçük, Serhat; Panayırcı, Erdal
    The exponential growth of Internet of Things applications necessitates the design of next generation cellular systems to provide native support for machine type communications (MTC). While 5G aims at providing this native support under domain of massive MTC (mMTC) as one of the three major domains it focuses; i.e., enhanced mobile broadband, ultra reliable low latency communication, and mMTC, the enabling technologies and communication architectures are still limited and incomplete considering the nearly standardized efforts under 3GPP Releases 15 and 16. Studies towards 6G should elaborate on enabling truly massive MTC flexibly to support fast growing machine-to-machine (M2M) services with massive number of devices and very diverse quality of service (QoS) requirements. In this paper, we study radio resource allocation for mMTC based on the envisioned flexible physical layer architecture for 5G and beyond, possibly including 6G. We first present an overview of the 5G New Radio physical layer aspects particularly focusing on multiple numerologies and discuss the 3GPP features in Releases 15-17 as possible enablers of a flexible radio resource allocation scheme. Then, we propose a polynomial-time persistent resource allocation scheme for M2M communications aiming at meeting diverse QoS requirements of the M2M applications while achieving spectral efficiency. Finally, we present some numerical results and discuss future research directions for access schemes to enable truly massive MTC.
  • Article
    A Comparative Analysis of Diversity Combining Techniques for Repetitive Transmissions in Time Spreading Scma Systems
    (John Wiley & Sons Ltd, 2024) Ulgen, Oguz; Tufekci, Tolga Kagan; Sadi, Yalcin; Erkucuk, Serhat; Anpalagan, Alagan; Baykas, Tuncer
    Sparse Code Multiple Access (SCMA) is a recently introduced wireless communication network technology. There are various techniques in SCMA systems to increase the system's efficiency, and one of these techniques is time spreading. By adding repetitive transmission and time spreading into SCMA, it is shown in previous works that the Bit-Error-Rate (BER) results are improved convincingly. However, in the previous works, other diversity combining techniques have not been considered. This paper introduces a new approach to further improve the performance of repetitive transmission in SCMA systems with time spreading by adding imperialist competitive algorithm in diversity combining. Alongside, four different combining techniques; equal gain combining, maximal ratio combining, selection combining, and genetic algorithm are considered to bring comparative analysis to show the significance of the new technique. Results show that the proposed method offers up to 2.3 dB gain in terms of BER, under certain conditions.
  • Master Thesis
    Noma-based Radio Resource Allocation For Machine Type Communications İn 5g And Beyond Cellular Networks 5g ve Ötesi Hücresel Ağlarda Makine Tipi İletişim için Noma Tabanlı Radyo Kaynak Atama
    (Kadir Has Üniversitesi, 2021) Aldemir, Sümeyra; Şadi, Yalçın
    The rapid increase of machine-to-machine (M2M) communications brings challenges in the design of cellular networks. The adversity of meeting the Quality-of-Service (QoS) requirements of a massive number of machine-type communications (MTC) devices with insufficient radio resources has emerged. The main goal of this thesis is to investigate the minimum bandwidth resource allocation problem for non-orthogonal multiple access (NOMA) based M2M communications in 5G and beyond cellular networks. A polynomial-time persistent resource allocation algorithm considering NOMA and the periodicity of the MTC traffic is proposed to solve the problem fast and efficiently. The proposed algorithm consists of two phases. In the first phase, M2M clusters are grouped into NOMA sub-clusters using a technique that minimizes the number of NOMA sub-clusters for a set of devices. NOMA sub-clusters are then allocated to resource blocks (RB) in the second phase, considering their QoS requirements while achieving minimum bandwidth reservation. Through simulations, the performance of the proposed algorithm is presented in comparison to the previously proposed access grant time interval (AGTI) based radio resource allocation algorithms. It is illustrated that the proposed algorithm improves the spectrum efficiency significantly addressing the spectrum-scarcity issue.
  • Master Thesis
    Semi Persistent Radio Resource Allocation for Machine Type Communications in 5g and Beyond Cellular Networks
    (Kadir Has Üniversitesi, 2018) Haj Hussıen, Zaid; Şadi, Yalçın
    The fast growth of machine-to-machine (M2M) communications in cellular networks brings the challenge of satisfying diverse Quality-of-Service (QoS) requirements of massive number of machine type communications (MTC) devices with limited radio resources. in this study we first introduce the minimum bandwidth resource allocation problem for M2M communications in 5G and beyond cellular networks. NP-hardness of the problem is proven. Then we propose a fast and efficient polynomial-time algorithm exploiting the periodicity of the MTC traffic based on persistent resource allocation. We prove a mathematical performance result for this algorithm considering a special case of the problem. We elaborate on the expected flexible physical layer structure and study its possible effects on our algorithm. Simulations show that the proposed algorithm outperforms the previously proposed clustering-based radio resource algorithms significantly and performs very close to optimal.
  • Conference Object
    Citation - Scopus: 1
    The Effect of Codebook Design on the Conventional SCMA System Performance
    (Institute of Electrical and Electronics Engineers Inc., 2020) Kiraci, F.; Bardakci, E.; Sadi, Y.; Erkucuk, S.
    In 4G systems, Orthogonal Frequency-Division Multiple Access (OFDMA) has been used conventionally for multiple access purposes. This technique has low spectral efficiency since it allocates the resources orthogonally to each user. As an alternative to this technique, Non-orthogonal Multiple Access (NOMA) has been proposed for new generation systems as it allows different users to use the same resources and therefore, increases spectral efficiency. Sparse Code Multiple Access (SCMA) is a code-based NOMA technique and its performance depends on codebook design. In this study, a conventionally used codebook design in the literature has been considered and the system performance has been improved by increasing the distance between the signal constellation points. Considering two different design approaches, the conventional codebook has been modified and about 1dB gain has been achieved in the high signal-to-noiseratio (SNR) region. © 2020 IEEE.
  • Article
    Resource Allocation for Discrete Rate Multi-Cell Energy Constrained Communication Networks
    (Springer, 2025) Iqbal, M.S.; Salik, E.D.; Sadi, Y.; Coleri, S.
    Radio frequency energy harvesting is a promising technique to extend the lifetime of wireless powered communication networks (WPCNs) due to its controllability. In this paper, we consider a novel discrete rate based multi-cell WPCN, where multiple hybrid access points (HAPs) transmit energy to the users and users harvest this energy for the information transmission by using a transmission rate selected from a finite set of discrete rate levels. We formulate an optimization problem to minimize the schedule length through optimal rate allocation and scheduling of the users while considering the traffic demand, energy causality and interference constraints. The problem is mixed integer non-linear programming problem. Initially, we investigate the problem for non-simultaneous and simultaneous transmission considering both predetermined and variable transmission rates. We propose optimal and heuristic algorithms for all these categories by using optimality analysis, Perron-Frobenius conditions and iterative improvement of the total schedule length. Then, for the general problem, we propose heuristic algorithm based on the maximization of the number of concurrently transmitting users within each time slot by considering the maximum allowed interference level of the users. Via extensive simulations, we demonstrate significant improvement in schedule length through rate selection and proper scheduling of concurrently transmitting users. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
  • Conference Object
    Interference Mitigation in Joint Communication and Sensing: A Precoding-Based Framework With SSK Modulation
    (IEEE, 2025) Hassan, Sumeyra; Kazemipourleilabadi, Negin; Kahraman, Ibrahim; Sadi, Yalcin; Koca, Mutlu; Panayirci, Erdal; Poor, H. Vincent
    This paper proposes a joint communication and sensing (JCS) system that integrates multiple-input multipleoutput (MIMO) communication and radar functionalities within a shared spectrum. A novel precoder design incorporating Maximal Ratio Combining (MRC) is proposed to eliminate radar-induced and multi-user interference (MUI), ensuring robust communication while maintaining radar sensing accuracy. The communication subsystem leverages spatial shift keying (SSK) to enhance spectral efficiency, while the radar employs a co-located MIMO configuration for precise target detection. Simulation results show that the proposed system achieves a bit error rate (BER) below 10(-2) at 20 dB signal-to-noise ratio (SNR) and a radar detection probability exceeding 90% at 5 dB SNR, validating its effectiveness in interference management. This approach enables seamless integration of communication and sensing, making it a promising solution for autonomous driving, smart cities, and next-generation wireless networks.
  • Article
    Citation - WoS: 9
    Citation - Scopus: 10
    Minimum Length Scheduling for Discrete-Rate Full-Duplex Wireless Powered Communication Networks
    (IEEE-Inst Electrical Electronics Engineers Inc, 2022) Iqbal, Muhammad Shahid; Sadi, Yalcin; Coleri, Sinem
    Wireless powered communication networks (WPCNs) will act as a major enabler of massive machine type communications (MTCs), which is a major service domain for 5G and beyond systems. The MTC networks will be deployed by using low-power transceivers with finite discrete configurations. This paper considers minimum length scheduling problem for full-duplex WPCNs, where users transmit information to a hybrid access point at a rate chosen from a finite set of discrete-rate levels. The optimization problem considers energy causality, data and maximum transmit power constraints, and is proven to be NP-hard. As a solution strategy, we define the minimum length scheduling (MLS) slot, which is slot of minimum transmission completion time while starting transmission at anytime after the decision time. We solve the problem optimally for a given transmission order based on the optimality analysis of MLS slot. For the general problem, we categorize the problem based on whether the MLS slots of users overlap over time. We propose optimal algorithm for non-overlapping scenario by allocating the MLS slots, and a polynomial-time heuristic algorithm for overlapping scenario by allocating the transmission slot to the user with earliest MLS slot. Through simulations, we demonstrate significant gains of scheduling and discrete rate allocation.