A Joint Design of User Modeling and Resource Management in Cognitive Radio Networks

11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2019 -- 28 October 2019 through 30 October 2019 -- -- 157274The limited available spectrum and inefficient spectrum utilization make it necessary to employ dynamic spectrum access techniques. The key enabling technology for dynamic spectrum access is cognitive radio (CR), which exploits the existing wireless spectrum opportunistically and utilizes the licensed spectrum when primary users are passive. Thus, the activities of primary radio (PR) and cognitive radio (CR) users play a major role in the performance of cognitive radio networks. In this paper, a joint solution for user modeling and spectrum management is offered. The activities of PR and CR users are modeled through three-state Markov chain as the spectrum resource blocks are utilized with help of service-level overbooking strategy. Simulation results show the performance of the booking limit with respect to the channel release ratio of CR users and consequently the improved revenue of the network. © 2019 IEEE

Autonomous vehicle convoy formation control with size/shape switching for automated highways

Today's semi-autonomous vehicles are gradually moving towards full autonomy. This transition requires developing effective control algorithms for handing complex autonomous tasks. Driving as a group of vehicles, referred to as a convoy, on automated highways is a highly important and challenging task that autonomous driving systems must deal with. This paper considers the control problem of a vehicle convoy modeled with linear dynamics. The convoy formation requirement is presented in terms of a quadratic performance index to minimize The convoy formation control is formulated as a receding horizon linear-quadratic (LQ) optimal control problem. The receding horizon control law is innovatively defined via the solution to the algebraic Riccati equation. The solution matrix and therefore the receding horizon control law are obtained in the closed-form. A control architecture consisting of four algorithms is proposed to handle formation size/shape switching. The closed-form control law is at the core of these algorithms. Simulation results are provided to justify the models, solutions, and proposed algorithms.Web of Science33112180217

On the performance of spectrum handoff framework for next-generation 5G networks

The lack of available radio spectrum and inefficiency in its usage necessitate a new communication paradigm requiring to exploit the existing spectrum opportunistically. One of the perspective spectrum sharing methods, which is currently under a heavy investigation by academia and industry as well across whole Europe, is called Licensed Shared Access (LSA). This novel technology allows for controlled sharing of spectrum between an original owner (primary user, incumbent) and a licensee (secondary user), such as the mobile network operators (MNOs), which coexist geographically. Despite certain benefits, there are still several issues to be solved before the LSA framework will be implemented in commercial infrastructure. One of them is the need to move secondary users (SUs) from the rented LSA band whenever the incumbent needs it. The potential solution for this problem is represented by spectrum handoff, which aims to help SUs to vacate the occupied licensed spectrum and find suitable network resources to resume the unfinished transmissions somewhere else in order to keep SUs satisfaction in terms of quality of experience (QoE) at negotiated quality of service (QoS) level. Inspired by this, we propose a decision making model considering several SUs attributes (RSSI, RSRP, RSRQ, SINR) in order to efficiently implement the handoff procedure and treat SUs to maximize total service time, spectrum utilization and SUs' satisfaction. As an input for our simulation model, we have used the set of measurements performed in real 3GPP LTE-A indoor cellular system located at Brno University of Technology, Czech Republic. Our achieved simulation results evaluate the spectrum utilization of three 3GPP LTE-A cells and provide the total service time for each active SU, while different values of primary user's activity ratio are considered for each cell. Authors would like to recall that this paper represents extended version of their previously published work at TSP 2017 conference

On the Performance of Spectrum Handoff Framework for Next-generation 5G Networks

The lack of available radio spectrum and inefficiency in its usage necessitate a new communication paradigm requiring to exploit the existing spectrum opportunistically. One of the perspective spectrum sharing methods, which is currently under a heavy investigation by academia and industry as well across whole Europe, is called Licensed Shared Access (LSA). This novel technology allows for controlled sharing of spectrum between an original owner (primary user, incumbent) and a licensee (secondary user), such as the mobile network operators (MNOs), which coexist geographically. Despite certain benefits, there are still several issues to be solved before the LSA framework will be implemented in commercial infrastructure. One of them is the need to move secondary users (SUs) from the rented LSA band whenever the incumbent needs it. The potential solution for this problem is represented by spectrum handoff, which aims to help SUs to vacate the occupied licensed spectrum and find suitable network resources to resume the unfinished transmissions somewhere else in order to keep SUs satisfaction in terms of quality of experience (QoE) at negotiated quality of service (QoS) level. Inspired by this, we propose a decision making model considering several SUs attributes (RSSI, RSRP, RSRQ, SINR) in order to efficiently implement the handoff procedure and treat SUs to maximize total service time, spectrum utilization and SUs' satisfaction. As an input for our simulation model, we have used the set of measurements performed in real 3GPP LTE-A indoor cellular system located at Brno University of Technology, Czech republic. Our achieved simulation results evaluate the spectrum utilization of three 3GPP LTE-A cells and provide the total service time for each active SU, while different values of primary user's activity ratio are considered for each cell. Authors would like to recall that this paper represents extended version of their previously published work at TSP 2017 conference

Modeling of spectrum handoff in 3GPP LTE-A indoor deployment

The lack of available radio spectrum and inefficiency in its usage necessitate a new communication paradigm requiring to exploit the existing spectrum opportunistically. One of the perspective spectrum sharing methods, which is currently under a heavy investigation by academia and industry as well across whole Europe, is called Licensed Shared Access (LSA). This novel technology allows for controlled sharing of spectrum between an original owner (primary user, incumbent) and a licensee (secondary user), such as the mobile network operators (MNOs), which coexist geographically. Despite certain benefits, there are still several issues to be solved before the LSA framework will be implemented in commercial infrastructure. One of them is the need to move secondary users (SUs) from the rented LSA band whenever the incumbent needs it. The potential solution for this problem is represented by spectrum handoff, which aims to help SUs to vacate the occupied licensed spectrum and find suitable network resources to resume the unfinished transmissions somewhere else. Inspired by this, we propose a decision making model considering several SUs attributes (RSSI, RSRP, RSRQ, SINR) in order to efficiently implement the handoff procedure and treat SUs to maximize total service time, spectrum utilization and SUs satisfaction. As an input for our simulation model, we have used the set of measurements performed in real 3GPP LTE-A indoor cellular system located at Brno University of Technology, Czech Republic. Our achieved simulation results evaluate the spectrum utilization of three LTE cells and provide the total service time for each active SU, while different values of primary user's activity ratio are considered for each cell. © 2017 IEEE

Dynamic user-centric spectrum handoff in 5G systems: Optimized criteria based resource management framework

The demand for spectrum resources has increased dramatically with the advent of modern wireless applications. Spectrum sharing, considered as a critical mechanism for 5G networks, is envisioned to address spectrum scarcity issue and achieve high data rate access, and guaranteed the quality of service (QoS). From the licensed network's perspective, the interference caused by all secondary users (SUs) should be minimized. From secondary networks point of view, there is a need to assign networks to SUs in such a way that overall interference is reduced, enabling the accommodation of a growing number of SUs. The potential solution for this problem is represented by spectrum handoff, which aims to help SUs to vacate the occupied licensed spectrum and find suitable network resources to resume the unfinished transmissions. Inspired by this, we process the performance analysis of different pricing strategies as Proposed Subscriber Class based Pricing (PSCP), Flexible Pricing (FP), Adaptive Pricing (AP) and QoS-DP in case of operator's profit and secondary users (SUs) satisfaction in different traffic load (TL). The simulation results prove that without considering SUs' attributes, although total network revenue (TNR) can be high, it causes to 'user churn' due to dissatisfaction with an allocated high price. The introduced optimal pricing strategy based on the SUs' attributes is related to QoS-Driven Pricing (DP). © 2017 IEEE

On the performance of spectrum handoff framework for next-generation 5G networks

The lack of available radio spectrum and inefficiency in its usage necessitate a new communication paradigm requiring to exploit the existing spectrum opportunistically. One of the perspective spectrum sharing methods, which is currently under a heavy investigation by academia and industry as well across whole Europe, is called Licensed Shared Access (LSA). This novel technology allows for controlled sharing of spectrum between an original owner (primary user, incumbent) and a licensee (secondary user), such as the mobile network operators (MNOs), which coexist geographically. Despite certain benefits, there are still several issues to be solved before the LSA framework will be implemented in commercial infrastructure. One of them is the need to move secondary users (SUs) from the rented LSA band whenever the incumbent needs it. The potential solution for this problem is represented by spectrum handoff, which aims to help SUs to vacate the occupied licensed spectrum and find suitable network resources to resume the unfinished transmissions somewhere else in order to keep SUs satisfaction in terms of quality of experience (QoE) at negotiated quality of service (QoS) level. Inspired by this, we propose a decision making model considering several SUs attributes (RSSI, RSRP, RSRQ, SINR) in order to efficiently implement the handoff procedure and treat SUs to maximize total service time, spectrum utilization and SUs' satisfaction. As an input for our simulation model, we have used the set of measurements performed in real 3GPP LTE-A indoor cellular system located at Brno University of Technology, Czech Republic. Our achieved simulation results evaluate the spectrum utilization of three 3GPP LTE-A cells and provide the total service time for each active SU, while different values of primary user's activity ratio are considered for each cell. Authors would like to recall that this paper represents extended version of their previously published work at TSP 2017 conference

Modeling of spectrum handoff in 3GPP LTE-A indoor deployment

The lack of available radio spectrum and inefficiency in its usage necessitate a new communication paradigm requiring to exploit the existing spectrum opportunistically. One of the perspective spectrum sharing methods, which is currently under a heavy investigation by academia and industry as well across whole Europe, is called Licensed Shared Access (LSA). This novel technology allows for controlled sharing of spectrum between an original owner (primary user, incumbent) and a licensee (secondary user), such as the mobile network operators (MNOs), which coexist geographically. Despite certain benefits, there are still several issues to be solved before the LSA framework will be implemented in commercial infrastructure. One of them is the need to move secondary users (SUs) from the rented LSA band whenever the incumbent needs it. The potential solution for this problem is represented by spectrum handoff, which aims to help SUs to vacate the occupied licensed spectrum and find suitable network resources to resume the unfinished transmissions somewhere else. Inspired by this, we propose a decision making model considering several SUs attributes (RSSI, RSRP, RSRQ, SINR) in order to efficiently implement the handoff procedure and treat SUs to maximize total service time, spectrum utilization and SUs satisfaction. As an input for our simulation model, we have used the set of measurements performed in real 3GPP LTE-A indoor cellular system located at Brno University of Technology, Czech Republic. Our achieved simulation results evaluate the spectrum utilization of three LTE cells and provide the total service time for each active SU, while different values of primary user's activity ratio are considered for each cell. © 2017 IEEE

Lisansli Paylaşimli Erişime Dayali Ikincil Kullanici Faaliyetinin Bilişsel Radyo A?larinda Performans Analizi]

4th Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018 -- 18 April 2018 through 19 April 2018 -- -- 137380In recent years, with the emerging wireless technologies, more spectrum bands are needed compared to before. Related to this fact, Cognitive Radio (CR) is one of the technologies used for effective spectrum management. In addition, regarding the sharing rules of the Licensed Shared Access (LSA) technology, secondary and primary users can use the spectrum band in the controlled environment. In this work, an overbooking technique is used by LSA and CR technologies. Based on LSA sharing rules, the overbooking Spectrum Manager (MNO) allows the network to accept more reservations than capacity. In this study, network performance analysis is presented while analyzing the overbooking reservation limits based on the activity rates of the primary and secondary users. Simulation results show the network revenue, spectrum utilization, overbooking reservation limit, and rejected secondary user rates. Finally, the simulation results tradeoff between the performance of overbooking and the non-overbooking reservation methods. © 2018 IEEE

Dynamic user-centric spectrum handoff in 5G systems: Optimized criteria based resource management framework

The demand for spectrum resources has increased dramatically with the advent of modern wireless applications. Spectrum sharing, considered as a critical mechanism for 5G networks, is envisioned to address spectrum scarcity issue and achieve high data rate access, and guaranteed the quality of service (QoS). From the licensed network's perspective, the interference caused by all secondary users (SUs) should be minimized. From secondary networks point of view, there is a need to assign networks to SUs in such a way that overall interference is reduced, enabling the accommodation of a growing number of SUs. The potential solution for this problem is represented by spectrum handoff, which aims to help SUs to vacate the occupied licensed spectrum and find suitable network resources to resume the unfinished transmissions. Inspired by this, we process the performance analysis of different pricing strategies as Proposed Subscriber Class based Pricing (PSCP), Flexible Pricing (FP), Adaptive Pricing (AP) and QoS-DP in case of operator's profit and secondary users (SUs) satisfaction in different traffic load (TL). The simulation results prove that without considering SUs' attributes, although total network revenue (TNR) can be high, it causes to 'user churn' due to dissatisfaction with an allocated high price. The introduced optimal pricing strategy based on the SUs' attributes is related to QoS-Driven Pricing (DP). © 2017 IEEE