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Publikasjoner (10 av 19) Visa alla publikasjoner
Hossain, M. I., Azari, A. & Zander, J. (2020). Collision Multiplicity Detection: Challenges, Solutions, and Impacts on Cellular Random Access. In: : . Paper presented at IEEE VTC-Spring. IEEE
Åpne denne publikasjonen i ny fane eller vindu >>Collision Multiplicity Detection: Challenges, Solutions, and Impacts on Cellular Random Access
2020 (engelsk)Konferansepaper, Publicerat paper (Annet vitenskapelig)
Abstract [en]

In cellular and cellular-IoT systems, random access has the utmost importance as it is the gatekeeper that assures conflict-free access to radio resources. The main drawback of the legacy protocols lies at the collision resolution procedure as the base station (BS) is blind to the collision multiplicity and collided devices rely on the BSs for contention resolution. While contention resolution over the random access channel (RACH) is mature in the literature, most studies are following optimistic assumptions in which the full collision impact at the receiver is neglected, and a simplified model of partially overlapping packets is considered. This work is devoted to the investigation of a more realistic model of collision in cellular networks with the aim to investigate challenges and potential solutions in preamble detection in collision scenarios. The simulation results show that besides previously well-known challenges in dealing with collisions, the occurrence of collisions significantly increases the probability of false preamble detection.

sted, utgiver, år, opplag, sider
IEEE, 2020
HSV kategori
Forskningsprogram
Informations- och kommunikationsteknik
Identifikatorer
urn:nbn:se:kth:diva-256518 (URN)
Konferanse
IEEE VTC-Spring
Merknad

Submitted. QC 20190903

Tilgjengelig fra: 2019-08-27 Laget: 2019-08-27 Sist oppdatert: 2019-09-03bibliografisk kontrollert
Hossain, M. I., Islam, R. U., Azari, A. & Andersson, K. (2020). Early Data Transmit in Cellular-IoT: A Supervised Learning Approach to Optimized Resource Pool Allocation. Paper presented at IEEE International Conference on Communications.
Åpne denne publikasjonen i ny fane eller vindu >>Early Data Transmit in Cellular-IoT: A Supervised Learning Approach to Optimized Resource Pool Allocation
Vise andre…
2020 (engelsk)Inngår i: Artikkel i tidsskrift (Fagfellevurdert) Submitted
Abstract [en]

3GPP introduced Early Data Transmit (EDT) protocol in release-15 to address Internet of things (IoT) services signaling cost and connection delay due to RRC connectivity procedure. EDT enables data transmission in MSG3 wherein traditional RACH procedure, a collision is realized at MSG3 reception. Traditional preventive approach (access class barring) may control the device access rate, but that does not always adequate to solve hidden collision due to the receiver’s limitation and devices power control mechanism. The present work aims at solving the problem by allocating extra resources pool for potential collided devices. The allocated resource of the pool is optimized based on an artificial neural network (ANN) based learning algorithm. The performance evaluation result shows that the learning-based resource allocation radically increases the data transmission success rate with EDT.

sted, utgiver, år, opplag, sider
Dublin, Ireland: IEEE Communications Society, 2020
Emneord
Resource Allocation, EDT, LTE-M, Machine Learning, Random Access, Neural Network.
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-256521 (URN)
Konferanse
IEEE International Conference on Communications
Merknad

QC 20190903

Tilgjengelig fra: 2019-08-27 Laget: 2019-08-27 Sist oppdatert: 2019-09-03bibliografisk kontrollert
Azari, A. (2019). On the DoF and Secure DoF of K-User MIMO Interference Channel with Instantaneous Relays.
Åpne denne publikasjonen i ny fane eller vindu >>On the DoF and Secure DoF of K-User MIMO Interference Channel with Instantaneous Relays
2019 (engelsk)Manuskript (preprint) (Annet vitenskapelig)
Abstract [en]

Interference channel, in which multiple user pairs communicate over shared resources, is a building block of communications networks. Here, the K-user interference channel (IC) aided by J instantaneous relays (IRs), i.e. relays without delay, is considered. For KICJR networks, where K>2 and J>1, the DoF performance and achievable schemes have not been investigated in literature. Here, we devise a novel achievable scheme, called restricted interference alignment (RIA), which restricts the received interference from each source at each destination in a limited sub-space, and then, aligns the restricted interferences. Furthermore, we develop an analytical tool for finding a tight upper bound on DoF of KICJR networks by analyzing the properness of the interference alignment equations. Moreover, we develop linear beamforming design for sources and relays based on the mean square error (MSE) minimization, as an achievable scheme. The performance evaluation results show that the achievable sum DoF by using the proposed RIA scheme and the MSE-based beamforming design match well with the derived upper bounds. Furthermore, the results confirm that the achieved sum DoF using the RIA scheme outperforms the existing achievable schemes. Motivated by these promising results, we further investigate impact of IRs in providing physical layer security, i.e. achieving secure DoF in interference networks. Specifically, we derive a lower bound on the achievable secure DoF by devising an achievable scheme, called transmission in the null space (TNS). This scheme makes the cross channels rank deficient and enables sources to select their transmit filters in the constructed null spaces. Performance evaluation shows that by leveraging IRs, the secure DoF performance of interference networks could be increased significantly. The proposed analytical framework in this work for rank deficiency-powered DoF analysis is expected to also attract attention from other research areas, e.g. beamforming design for millimeter wave communications.

Emneord
Degrees of freedom, Secure degrees of Freedom, Interference alignment, Interference channel, Instantaneous relay, Physical layer security., درجه آزادی، کانال تداخلی، همسونهی تداخل، همیاری
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-238671 (URN)
Merknad

QC 20181107

Tilgjengelig fra: 2018-11-07 Laget: 2018-11-07 Sist oppdatert: 2018-11-07bibliografisk kontrollert
Masoudi, M., Azari, A., Yavuz, E. A. & Cavdar, C. (2018). Grant-Free Radio Access IoT Networks: Scalability Analysis in Coexistence Scenarios. In: IEEE International Conference on Communications: . Paper presented at 2018 IEEE International Conference on Communications, ICC 2018, 20 May 2018 through 24 May 2018. Institute of Electrical and Electronics Engineers Inc.
Åpne denne publikasjonen i ny fane eller vindu >>Grant-Free Radio Access IoT Networks: Scalability Analysis in Coexistence Scenarios
2018 (engelsk)Inngår i: IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers Inc. , 2018Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

IoT networks with grant-free radio access, like SigFox and LoRa, offer low-cost durable communications over unlicensed band. These networks are becoming more and more popular due to the ever-increasing need for ultra durable, in terms of battery lifetime, IoT networks. Most studies evaluate the system performance assuming single radio access technology deployment. In this paper, we study the impact of coexisting competing radio access technologies on the system performance. Considering K technologies, defined by time and frequency activity factors, bandwidth, and power, which share a set of radio resources, we derive closed-form expressions for the successful transmission probability, expected battery lifetime, and experienced delay as a function of distance to the serving access point. Our analytical model, which is validated by simulation results, provides a tool to evaluate the coexistence scenarios and analyze how introduction of a new coexisting technology may degrade the system performance in terms of success probability and battery lifetime. We further investigate solutions in which this destructive effect could be compensated, e.g., by densifying the network to a certain extent and utilizing joint reception.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers Inc., 2018
Emneord
Battery lifetime, Interference modelling, IoT, LoRa, LPWA network, Cellular radio systems, Electric batteries, Internet of things, Radio communication, Closed-form expression, Radio access technologies, Scalability analysis, Success probabilities, Transmission probabilities, Radio transmission
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-238064 (URN)10.1109/ICC.2018.8422890 (DOI)2-s2.0-85051418678 (Scopus ID)9781538631805 (ISBN)
Konferanse
2018 IEEE International Conference on Communications, ICC 2018, 20 May 2018 through 24 May 2018
Merknad

Conference code: 138282; Export Date: 30 October 2018; Conference Paper; Funding text: This study is supported by EU Celtic Plus Project SooGREEN Service Oriented Optimization of Green Mobile Networks.

QC 20190114

Tilgjengelig fra: 2019-01-14 Laget: 2019-01-14 Sist oppdatert: 2019-01-14bibliografisk kontrollert
Masoudi, M., Azari, A., Yavuz, E. A. & Cavdar, C. (2018). Grant-free Radio Access IoT Networks:Scalability Analysis in Coexistence Scenarios. In: : . Paper presented at IEEE ICC 2018.
Åpne denne publikasjonen i ny fane eller vindu >>Grant-free Radio Access IoT Networks:Scalability Analysis in Coexistence Scenarios
2018 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

IoT networks with grant-free radio access, likeSigFox and LoRa, offer low-cost durable communications overunlicensed band. These networks are becoming more and morepopular due to the ever-increasing need for ultra durable, interms of battery lifetime, IoT networks. Most studies evaluatethe system performance assuming single radio access technologydeployment. In this paper, we study the impact of coexistingcompeting radio access technologies on the system performance.Considering K technologies, defined by time and frequencyactivity factors, bandwidth, and power, which share a set of radioresources, we derive closed-form expressions for the successfultransmission probability, expected battery lifetime, and experienceddelay as a function of distance to the serving access point.Our analytical model, which is validated by simulation results,provides a tool to evaluate the coexistence scenarios and analyzehow introduction of a new coexisting technology may degrade thesystem performance in terms of success probability and batterylifetime. We further investigate solutions in which this destructiveeffect could be compensated, e.g., by densifying the network toa certain extent and utilizing joint reception.

Emneord
battery lifetime, IoT, LoRa, LPWA network, interference modelling.
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-232215 (URN)
Konferanse
IEEE ICC 2018
Merknad

QC 20180716

Tilgjengelig fra: 2018-07-15 Laget: 2018-07-15 Sist oppdatert: 2018-07-16bibliografisk kontrollert
Azari, A., Miao, G., Stefanovic, C. & Popovski, P. (2018). Latency-Energy Tradeoff based on Channel Scheduling and Repetitions in NB-IoT Systems. In: 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings: . Paper presented at 2018 IEEE Global Communications Conference, GLOBECOM 2018; Abu Dhabi National Exhibition Centre (ADNEC)Abu Dhabi; United Arab Emirates; 9 December 2018 through 13 December 2018. Institute of Electrical and Electronics Engineers (IEEE), Article ID 8648024.
Åpne denne publikasjonen i ny fane eller vindu >>Latency-Energy Tradeoff based on Channel Scheduling and Repetitions in NB-IoT Systems
2018 (engelsk)Inngår i: 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2018, artikkel-id 8648024Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Narrowband Internet of Things (NB-IoT) is the latest IoT connectivity solution presented by the 3rd generation partnership project (3GPP). NB-IoT introduces coverage classes and offers a significant link budget improvement by allowing repeated transmissions by nodes that experience high path loss. However, those repetitions necessarily increase the energy consumption and the latency in the whole NB-IoT system. The extent to which the whole system is affected depends on the scheduling of the uplink and downlink channels. We address this question, not treated previously, by developing a tractable model of NB-IoT access protocol operation, comprising message exchanges in random-access, control, and data channels, both in the uplink and downlink The model is then used to analyze the impact of channel scheduling as well as the interaction of coexisting coverage classes, through derivation of the expected latency and battery lifetime for each coverage class. These results are subsequently employed in investigation of latency-energy tradeoff in NB-IoT channel scheduling as well as determining the optimized operation points. Simulations results show validity of the analysis and confirm that channel scheduling and coexistence of coverage classes significantly affect latency and battery lifetime performance of NB-IoT devices.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers (IEEE), 2018
Serie
IEEE Global Communications Conference, ISSN 2334-0983
Emneord
NB-IoT, Latency energy tradeoff, repetition, multiplexing, انرژی تاخیر، اینترنت اشیاء باند باریک، تکرار سیگنال
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-232211 (URN)10.1109/GLOCOM.2018.8648024 (DOI)000465774305078 ()2-s2.0-85063419292 (Scopus ID)9781538647271 (ISBN)
Konferanse
2018 IEEE Global Communications Conference, GLOBECOM 2018; Abu Dhabi National Exhibition Centre (ADNEC)Abu Dhabi; United Arab Emirates; 9 December 2018 through 13 December 2018
Merknad

QC 20180716

Tilgjengelig fra: 2018-07-15 Laget: 2018-07-15 Sist oppdatert: 2019-06-12bibliografisk kontrollert
Azari, A. & Cavdar, C. (2018). Performance Evaluation and Optimization of LPWA IoT Networks: A Stochastic Geometry Approach. In: 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings: . Paper presented at 2018 IEEE Global Communications Conference, GLOBECOM 2018; Abu Dhabi National Exhibition Centre (ADNEC)Abu Dhabi; United Arab Emirates; 9 December 2018 through 13 December 2018. IEEE, Article ID 8647881.
Åpne denne publikasjonen i ny fane eller vindu >>Performance Evaluation and Optimization of LPWA IoT Networks: A Stochastic Geometry Approach
2018 (engelsk)Inngår i: 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings, IEEE, 2018, artikkel-id 8647881Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Leveraging grant-free radio access for enabling low-power wide-area (LPWA) Internet of Things (IoT) connectivity has attracted lots of attention in recent years. Regarding lack of research on LPWA IoT networks, this work is devoted to reliability modeling, battery-lifetime analysis, and operation-control of such networks. We derive the interplay amongst density of the access points, communication bandwidth, volume of traffic from heterogeneous sources, and quality of service (QoS) in communications. The presented analytical framework comprises modeling of interference from heterogeneous sources with correlated deployment locations and time-frequency asynchronous radio-resource usage patterns. The derived expressions represent the operation regions and rates in which, energy and cost resources of devices and the access network, respectively, could be traded to achieve a given level of QoS in communications. For example, our expressions indicate the expected increase in QoS by increasing number of transmitted replicas, transmit power, density of the access points, and communication bandwidth. Our results further shed light on scalability of such networks and figure out the bounds up to which, scaling resources can compensate the increase in traffic volume and QoS demand. Finally, we present an energy-optimized operation control policy for IoT devices. The simulation results confirm tightness of the derived analytical expressions, and indicate usefulness of them in planning and operation control of IoT networks.

sted, utgiver, år, opplag, sider
IEEE, 2018
Serie
IEEE Global Communications Conference, ISSN 2334-0983
Emneord
5G, Coexistence, Grant-free, Reliability and durability, LPWA IoT, نسل پنجم، اینترنت اشیا، قابلیت اطمینان، همزیستی، اتصال بدون رزرو منبع
HSV kategori
Forskningsprogram
Elektro- och systemteknik
Identifikatorer
urn:nbn:se:kth:diva-232213 (URN)10.1109/GLOCOM.2018.8647881 (DOI)000465774304097 ()2-s2.0-85063453911 (Scopus ID)978-1-5386-4727-1 (ISBN)
Konferanse
2018 IEEE Global Communications Conference, GLOBECOM 2018; Abu Dhabi National Exhibition Centre (ADNEC)Abu Dhabi; United Arab Emirates; 9 December 2018 through 13 December 2018
Merknad

QC 20180716

Tilgjengelig fra: 2018-07-15 Laget: 2018-07-15 Sist oppdatert: 2019-06-13bibliografisk kontrollert
Azari, A. & Cavdar, C. (2018). Self-organized Low-power IoT Networks: A Distributed Learning Approach. In: 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings: . Paper presented at 2018 IEEE Global Communications Conference, GLOBECOM 2018; Abu Dhabi National Exhibition Centre (ADNEC)Abu Dhabi; United Arab Emirates; 9 December 2018 through 13 December 2018. Institute of Electrical and Electronics Engineers (IEEE)
Åpne denne publikasjonen i ny fane eller vindu >>Self-organized Low-power IoT Networks: A Distributed Learning Approach
2018 (engelsk)Inngår i: 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2018Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Enabling large-scale energy-efficient Internet-ofthings (IoT) connectivity is an essential step towards realization of networked society. While legacy wide-area wireless systems are highly dependent on network-side coordination, the level of consumed energy in signaling, as well as the expected increase in the number of IoT devices, makes such centralized approaches infeasible in future. Here, we address this problem by self-coordination for IoT networks through learning from past communications. To this end, we first study low-complexity distributed learning approaches applicable in IoT communications. Then, we present a learning solution to adapt communication parameters of devices to the environment for maximizing energy efficiency and reliability in data transmissions. Furthermore, leveraging tools from stochastic geometry, we evaluate the performance of proposed distributed learning solution against the centralized coordination. Finally, we analyze the interplay amongst energy efficiency, reliability of communications against noise and interference over data channel, and reliability against adversarial interference over data and feedback channels. The simulation results indicate that compared to the state of the art approaches, both energy efficiency and reliability in IoT communications could be significantly improved using the proposed learning approach. These promising results, which are achieved using lightweight learning, make our solution favorable in many low-cost low-power IoT applications.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers (IEEE), 2018
Serie
IEEE Global Communications Conference, ISSN 2334-0983
Emneord
Coexistence, IoT, Reliability, Battery lifetime, Low-power wide-area network, همزیستی، اینترنت اشیا، عمر باتری، شبکه های کم توان وسیع
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-232212 (URN)10.1109/GLOCOM.2018.8647894 (DOI)000465774304110 ()2-s2.0-85062954118 (Scopus ID)978-1-5386-4727-1 (ISBN)
Konferanse
2018 IEEE Global Communications Conference, GLOBECOM 2018; Abu Dhabi National Exhibition Centre (ADNEC)Abu Dhabi; United Arab Emirates; 9 December 2018 through 13 December 2018
Merknad

QC 20180716

Tilgjengelig fra: 2018-07-15 Laget: 2018-07-15 Sist oppdatert: 2019-06-12bibliografisk kontrollert
Azari, A. (2018). Serving IoT Communications over Cellular Networks: Challenges and Solutions in Radio Resource Management for Massive and Critical IoT Communications. (Doctoral dissertation). Stockholm: KTH Royal Institute of Technology
Åpne denne publikasjonen i ny fane eller vindu >>Serving IoT Communications over Cellular Networks: Challenges and Solutions in Radio Resource Management for Massive and Critical IoT Communications
2018 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Internet of Things (IoT) communications refer to the interconnections of smart devices, with reduced human intervention, which enable them to participate more actively in everyday life. It is expected that introduction of a scalable, energy efficient, and reliable IoT connectivity solution can bring enormous benefits to the society, especially in healthcare, wellbeing, and smart homes and industries. In the last two decades, there have been efforts in academia and industry to enable IoT connectivity over the legacy communications infrastructure. In recent years, it is becoming more and more clear that the characteristics and requirements of the IoT traffic are way different from the legacy traffic originating from existing communications services like voice and web surfing, and hence, IoT-specific communications systems and protocols have received profound attention. Until now, several revolutionary solutions, including cellular narrowband-IoT, SigFox, and LoRaWAN, have been proposed/implemented. As each of these solutions focuses on a subset of performance indicators at the cost of sacrificing the others, there is still lack of a dominant player in the market capable of delivering scalable, energy efficient, and reliable IoT connectivity. The present work is devoted to characterizing state-of-the-art technologies for enabling large-scale IoT connectivity, their limitations, and our contributions in performance assessment and enhancement for them. Especially, we focus on grant-free radio access and investigate its applications in supporting massive and critical IoT communications. The main contributions presented in this work include (a) developing an analytical framework for energy/latency/reliability assessment of IoT communications over grant-based and grant-free systems; (b) developing advanced RRM techniques for energy and spectrum efficient serving of massive and critical IoT communications, respectively; and (c) developing advanced data transmission/reception protocols for grant-free IoT networks. The performance evaluation results indicate that supporting IoT devices with stringent energy/delay constraints over limited radio resources calls for aggressive technologies breaking the barrier of the legacy interference-free orthogonal communications.

sted, utgiver, år, opplag, sider
Stockholm: KTH Royal Institute of Technology, 2018. s. 91
Serie
TRITA-EECS-AVL ; 2018:73
Emneord
5G, Battery lifetime, Grant-based and grant-free access, Massive and critical IoT communications, Radio resource manage
HSV kategori
Forskningsprogram
Informations- och kommunikationsteknik
Identifikatorer
urn:nbn:se:kth:diva-238678 (URN)978-91-7729-973-8 (ISBN)
Disputas
2018-11-23, Sal C, Electrum, Kistagången 16, Kista., Stockholm, 10:00 (engelsk)
Opponent
Veileder
Merknad

QC 20181107

Tilgjengelig fra: 2018-11-07 Laget: 2018-11-07 Sist oppdatert: 2018-11-07bibliografisk kontrollert
Azari, A. & Miao, G. (2017). Fundamental Tradeoffs in Resource Provisioning forIoT Services over Cellular Networks. In: Proceedings of the 2017 IEEE International Conference on Communications: . Paper presented at 2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 21 May 2017 through 25 May 2017. Institute of Electrical and Electronics Engineers (IEEE), Article ID 7996885.
Åpne denne publikasjonen i ny fane eller vindu >>Fundamental Tradeoffs in Resource Provisioning forIoT Services over Cellular Networks
2017 (engelsk)Inngår i: Proceedings of the 2017 IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers (IEEE), 2017, artikkel-id 7996885Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Performance tradeoffs in resource provisioningfor mixed internet-of-things (IoT) and human-orientedcommunications(HoC) services over cellular networks are investigated.First, we present a low-complexity model of cellularconnectivity in the uplink direction in which both accessreservation and scheduled data transmission procedures areincluded. This model is employed subsequently in derivinganalytical expressions for energy efficiency, spectral efficiency,and experienced delay in data transmission of connected devicesas well as energy consumption of base stations. The derivedexpressions indicate that the choice of uplink resource provisioningstrategy introduces tradeoffs between battery lifetime forIoT communications, quality of service (QoS) for HoC, spectralefficiency and energy consumption for the access network. Then,the impacts of system and traffic parameters on the introducedtradeoffs are investigated. Performance analysis illustrates thatimproper resource provisioning for IoT traffic not only degradesQoS of high-priority services and decreases battery lifetime ofIoT devices, but also increases energy consumption of the accessnetwork. The presented analytical and simulations results figureout the ways in which spectral/energy efficiency for the accessnetwork and QoS for high-priority services could be traded toprolong battery lifetimes of connected devices by compromisingon the level of provisioned radio resources.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers (IEEE), 2017
Serie
IEEE International Conference on Communications, ISSN 1550-3607
Emneord
Internet of things, Machine-type communications, Resource provisioning, Energy efficiency, Green cellular network., اینترنت اشیا، چیزنت، بهینگی انرژی، طول عمر باتری، مخام، مخابرات ماشین به ماشین، نسل پنجم، مصالحه انرژِ تاخیر
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-194414 (URN)10.1109/ICC.2017.7996885 (DOI)000424872103084 ()2-s2.0-85028314875 (Scopus ID)9781467389990 (ISBN)
Konferanse
2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 21 May 2017 through 25 May 2017
Merknad

QC 20161103

Tilgjengelig fra: 2016-10-27 Laget: 2016-10-27 Sist oppdatert: 2018-03-14bibliografisk kontrollert
Organisasjoner
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0003-0125-2202