Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473825
Lorenzo Gaudio, G. Caire, G. Colavolpe
Orthogonal time frequency space (OTFS) modulation is often declared to be superior to its direct concurrent, i.e., orthogonal frequency division multiplexing (OFDM) modulation. However, the comparison is often performed under favorable conditions for OTFS as, for instance, the assumption of extremely high Doppler shifts and/or the approximation of delay and Doppler shifts to be integer multiples of the Doppler-delay resolution of OTFS modulation. In order to provide a fair comparison, this paper addresses a comparison in terms of the information-theoretic achievable rate under practical separate detection and decoding, explicitly considering the pilot overhead necessary to acquire the channel state information, the accuracy of the channel estimation, and any other possible additional loss. We do not claim to establish in a definitive way which is the best modulation format, since the choice thereof depends on many other features which are outside the scope of this work (e.g., legacy, intellectual property, ease and know-how for implementation, and many other criteria). Nevertheless, we provide the foundations to properly compare multi-carrier communication systems in terms of their information theoretic achievable rate potential, within meaningful and sensible assumptions on the channel models and on the receiver complexity (both in terms of channel estimation and in terms of soft-output symbol detection).
{"title":"On Achievable Rate of OFDM and OTFS in the Presence of Sparsity","authors":"Lorenzo Gaudio, G. Caire, G. Colavolpe","doi":"10.1109/ICCWorkshops50388.2021.9473825","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473825","url":null,"abstract":"Orthogonal time frequency space (OTFS) modulation is often declared to be superior to its direct concurrent, i.e., orthogonal frequency division multiplexing (OFDM) modulation. However, the comparison is often performed under favorable conditions for OTFS as, for instance, the assumption of extremely high Doppler shifts and/or the approximation of delay and Doppler shifts to be integer multiples of the Doppler-delay resolution of OTFS modulation. In order to provide a fair comparison, this paper addresses a comparison in terms of the information-theoretic achievable rate under practical separate detection and decoding, explicitly considering the pilot overhead necessary to acquire the channel state information, the accuracy of the channel estimation, and any other possible additional loss. We do not claim to establish in a definitive way which is the best modulation format, since the choice thereof depends on many other features which are outside the scope of this work (e.g., legacy, intellectual property, ease and know-how for implementation, and many other criteria). Nevertheless, we provide the foundations to properly compare multi-carrier communication systems in terms of their information theoretic achievable rate potential, within meaningful and sensible assumptions on the channel models and on the receiver complexity (both in terms of channel estimation and in terms of soft-output symbol detection).","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130820735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473722
Doğanalp Ergenç, Mathias Fischer
IEEE Time-sensitive Networking (TSN) family of standards enables real-time and deterministic networks on top of standard Ethernet. It also offers a seamless redundancy protocol, 802.1CB Frame Replication and Elimination for Reliability (FRER), to protect the network against node and link failures. Although its effective use is currently being studied by many researchers, the management of FRER can be complicated and limited to only small topologies. Manual configuration of switches is required as there is not any implemented management protocol yet. In this paper, we describe our implementation of the FRER protocol in OMNeT++. Besides, we implement additional control plane protocols, Intermediate System to Intermediate System (IS-IS) and 802.1aq Shortest Path Bridging (SPB), for network discovery and link layer routing to configure FRER properly for multipath communication. As SPB is the main instrument of the path reservation mechanism in TSN, our framework enables to simulate large-scale time-sensitive networks together with reliability and orchestration mechanisms. The whole implementation is available as open-source.
{"title":"Implementation and Orchestration of IEEE 802.1CB FRER in OMNeT++","authors":"Doğanalp Ergenç, Mathias Fischer","doi":"10.1109/ICCWorkshops50388.2021.9473722","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473722","url":null,"abstract":"IEEE Time-sensitive Networking (TSN) family of standards enables real-time and deterministic networks on top of standard Ethernet. It also offers a seamless redundancy protocol, 802.1CB Frame Replication and Elimination for Reliability (FRER), to protect the network against node and link failures. Although its effective use is currently being studied by many researchers, the management of FRER can be complicated and limited to only small topologies. Manual configuration of switches is required as there is not any implemented management protocol yet. In this paper, we describe our implementation of the FRER protocol in OMNeT++. Besides, we implement additional control plane protocols, Intermediate System to Intermediate System (IS-IS) and 802.1aq Shortest Path Bridging (SPB), for network discovery and link layer routing to configure FRER properly for multipath communication. As SPB is the main instrument of the path reservation mechanism in TSN, our framework enables to simulate large-scale time-sensitive networks together with reliability and orchestration mechanisms. The whole implementation is available as open-source.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131058108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473533
Christoph Kaulich, M. Joham, W. Utschick
It has been shown that rate-splitting multiple access (RSMA) promises high data rates with superior performance especially under imperfect channel state information (CSI) and the possibility to fulfill various quality of service constraints. In this work, we use the 1-layer rate-splitting (1ℓ-RS) approach for the weighted sum rate (WSR) maximization under minimum rate constraints in the multi-user multiple-input multiple-output broadcast channel (MIMO BC). We adapt the iterative weighted minimum mean squared error (IWMMSE) approach to the 1ℓ-RS weighted sum rate optimization problem in the MIMO BC. Furthermore, a more efficient 1ℓ-RS approach is proposed, where the common stream is optimized first and private streams are allocated successively in addition to the common stream with the goal to increase the WSR and to be able to fulfill high minimum rate constraints. Numerical simulations show that much larger minimum rate constraints can be satisfied with the proposed 1ℓ-RS approaches than with pure multicasting. Additionally, the two 1ℓ-RS approaches are compared regarding their computational complexity.
研究表明，在不完全信道状态信息(CSI)条件下，速率分割多址(RSMA)具有较高的数据速率和优越的性能，并且能够满足各种服务质量约束。在这项工作中，我们在多用户多输入多输出广播信道(MIMO BC)中使用1层速率分割(1 -RS)方法在最小速率约束下实现加权和速率(WSR)最大化。我们将迭代加权最小均方误差(IWMMSE)方法应用于MIMO BC中的1 r -RS加权和率优化问题。在此基础上，提出了一种更有效的1 - r -RS方法，该方法首先对公共流进行优化，然后在公共流的基础上依次分配私有流，以提高WSR并满足高最小速率约束。数值模拟结果表明，与纯组播相比，该方法可以满足更大的最小速率约束。此外，比较了两种1 r -RS方法的计算复杂度。
{"title":"Rate-Splitting for the Weighted Sum Rate Maximization under Minimum Rate Constraints in the MIMO BC","authors":"Christoph Kaulich, M. Joham, W. Utschick","doi":"10.1109/ICCWorkshops50388.2021.9473533","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473533","url":null,"abstract":"It has been shown that rate-splitting multiple access (RSMA) promises high data rates with superior performance especially under imperfect channel state information (CSI) and the possibility to fulfill various quality of service constraints. In this work, we use the 1-layer rate-splitting (1ℓ-RS) approach for the weighted sum rate (WSR) maximization under minimum rate constraints in the multi-user multiple-input multiple-output broadcast channel (MIMO BC). We adapt the iterative weighted minimum mean squared error (IWMMSE) approach to the 1ℓ-RS weighted sum rate optimization problem in the MIMO BC. Furthermore, a more efficient 1ℓ-RS approach is proposed, where the common stream is optimized first and private streams are allocated successively in addition to the common stream with the goal to increase the WSR and to be able to fulfill high minimum rate constraints. Numerical simulations show that much larger minimum rate constraints can be satisfied with the proposed 1ℓ-RS approaches than with pure multicasting. Additionally, the two 1ℓ-RS approaches are compared regarding their computational complexity.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133551163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473503
R. Usach, Matilde Julián, M. Esteve, C. Palau
Ambient Assisted Living (AAL) and Active and Healthy Ageing (AHA) immensely benefit from IoT application. The federation of IoT platforms can multiply the benefits obtained by the operation of those systems in an isolated way, as it enables important synergies (e.g., intelligent information sharing, system cooperation, service enhancement). This federation requires the enablement of interoperability between the IoT systems, which represents a major challenge, as systems typically follow very different standards, data formats, semantic models and manners of representing the information. We have provided a technical solution in the frame of ACTIVAGE, a project that aims to federate multiple heterogeneous IoT platforms and systems associated to clusters of AHA Smart Homes in 12 regions across Europe, with the goal to improve the AHA service provided and create the first European AHA ecosystem. Our technical solution allows the enablement of full semantic interoperability across heterogeneous platforms and it has been validated in a test scenario. It enables significant AHA service enhancement within the ACTIVAGE ecosystem, as native applications from one platform could be used indistinctly by all federated platforms. Our solution allows good scalability federating new platforms, with linear and relatively low effort.
{"title":"Federation of AAL & AHA systems through semantically interoperable framework","authors":"R. Usach, Matilde Julián, M. Esteve, C. Palau","doi":"10.1109/ICCWorkshops50388.2021.9473503","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473503","url":null,"abstract":"Ambient Assisted Living (AAL) and Active and Healthy Ageing (AHA) immensely benefit from IoT application. The federation of IoT platforms can multiply the benefits obtained by the operation of those systems in an isolated way, as it enables important synergies (e.g., intelligent information sharing, system cooperation, service enhancement). This federation requires the enablement of interoperability between the IoT systems, which represents a major challenge, as systems typically follow very different standards, data formats, semantic models and manners of representing the information. We have provided a technical solution in the frame of ACTIVAGE, a project that aims to federate multiple heterogeneous IoT platforms and systems associated to clusters of AHA Smart Homes in 12 regions across Europe, with the goal to improve the AHA service provided and create the first European AHA ecosystem. Our technical solution allows the enablement of full semantic interoperability across heterogeneous platforms and it has been validated in a test scenario. It enables significant AHA service enhancement within the ACTIVAGE ecosystem, as native applications from one platform could be used indistinctly by all federated platforms. Our solution allows good scalability federating new platforms, with linear and relatively low effort.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133199090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473714
Fang Fu, Qi Jiao, F. Yu, Zhicai Zhang, Jianbo Du
Unmanned aerial vehicle (UAV) will open up new application fields in smart city-based intelligent transportation systems (ITSs), e.g., traffic management, disaster rescue, police patrol, etc. However, the broadcast and line-of-sight nature of air-to-ground wireless channels give rise to a new challenge to the information security of UAV-to-vehicle (U2V) communications. This paper considers U2V communications subject to multi-eavesdroppers on the ground in urban scenarios. We aim to maximize the secrecy rates in physical layer security perspective while considering both the energy consumption and flight zone limitation, by jointly optimizing the UAV’s trajectory, the transmit power of the UAV, and the jamming power sent by the roadside unit (RSU). This joint optimization problem is modeled as a Markov decision process (MDP), considering time-varying characteristics of the wireless channels. A curiosity-driven deep reinforcement learning (DRL) algorithm is subsequently utilized to solve the above MDP, in which the agent is reinforced by an extrinsic reward supplied by the environment and an intrinsic reward defined as the prediction error of the consequence after executing its actions. Extensive simulation results show that compared to the DRL without intrinsic rewards, the proposed scheme can have excellent performance in terms of the average reward, learning efficiency, and generalization to other scenarios.
{"title":"Securing UAV-to-Vehicle Communications: A Curiosity-Driven Deep Q-learning Network (C-DQN) Approach","authors":"Fang Fu, Qi Jiao, F. Yu, Zhicai Zhang, Jianbo Du","doi":"10.1109/ICCWorkshops50388.2021.9473714","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473714","url":null,"abstract":"Unmanned aerial vehicle (UAV) will open up new application fields in smart city-based intelligent transportation systems (ITSs), e.g., traffic management, disaster rescue, police patrol, etc. However, the broadcast and line-of-sight nature of air-to-ground wireless channels give rise to a new challenge to the information security of UAV-to-vehicle (U2V) communications. This paper considers U2V communications subject to multi-eavesdroppers on the ground in urban scenarios. We aim to maximize the secrecy rates in physical layer security perspective while considering both the energy consumption and flight zone limitation, by jointly optimizing the UAV’s trajectory, the transmit power of the UAV, and the jamming power sent by the roadside unit (RSU). This joint optimization problem is modeled as a Markov decision process (MDP), considering time-varying characteristics of the wireless channels. A curiosity-driven deep reinforcement learning (DRL) algorithm is subsequently utilized to solve the above MDP, in which the agent is reinforced by an extrinsic reward supplied by the environment and an intrinsic reward defined as the prediction error of the consequence after executing its actions. Extensive simulation results show that compared to the DRL without intrinsic rewards, the proposed scheme can have excellent performance in terms of the average reward, learning efficiency, and generalization to other scenarios.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133796708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473512
E. Yaacoub
The upcoming 6G network is expected to support high data rate services combining the requirements of the 5G enhanced mobile broadband (eMBB) and ultra-reliable and low-latency communications (URLLC) use cases, typically called mobile broadband reliable low latency communication (MBR-LLC). In addition, a large proliferation of extended reality (XR) services, encompassing augmented, mixed, and virtual reality (AR/MR/VR), is expected. On the other hand, the IEEE 802.11ad standard uses millimeter wave (mmWave) communications to provide data rates up to 6.76 Gbps, and supports six channels. This paper investigates the use of IEEE 802.11ad for indoor environments with high density of users. To provide high data rates to each user and avoid collisions over a single channel, we propose the use of beamforming using massive antenna arrays, coupled with a frequency allocation scheme for IEEE 802.11ad. Simulation results show that the proposed approach leads to high rates with limited interference in an indoor environment.
{"title":"6G Connectivity in Dense Indoor Environments using Beamforming and Frequency Allocation over IEEE 802.11ad","authors":"E. Yaacoub","doi":"10.1109/ICCWorkshops50388.2021.9473512","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473512","url":null,"abstract":"The upcoming 6G network is expected to support high data rate services combining the requirements of the 5G enhanced mobile broadband (eMBB) and ultra-reliable and low-latency communications (URLLC) use cases, typically called mobile broadband reliable low latency communication (MBR-LLC). In addition, a large proliferation of extended reality (XR) services, encompassing augmented, mixed, and virtual reality (AR/MR/VR), is expected. On the other hand, the IEEE 802.11ad standard uses millimeter wave (mmWave) communications to provide data rates up to 6.76 Gbps, and supports six channels. This paper investigates the use of IEEE 802.11ad for indoor environments with high density of users. To provide high data rates to each user and avoid collisions over a single channel, we propose the use of beamforming using massive antenna arrays, coupled with a frequency allocation scheme for IEEE 802.11ad. Simulation results show that the proposed approach leads to high rates with limited interference in an indoor environment.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124302768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473592
B. Xu, Ting Zhou, Tianheng Xu, Yuzhen Wang
The Reconfigurable Intelligent Surface (RIS) is seen as one of the most prospective technologies for next-generation networks. RIS can form virtual line-of-sight (LoS) link during non-line-of-sight (NLoS) transmission to improve system performance with low power consumption, especially for urban scenarios. In this paper, for an RIS-aided system, we extend the two-dimensional path-loss model to a more practical three-dimensional path-loss model. We further compare the system performance differences among RIS, relay and single-input single-output (SISO) systems. We also reveal proper deployment positions of RIS and derive the number of reflecting elements required under different constraints. Numerical results verify the complementarity between RIS and decode-and-forward (DF) relay. The performance of RIS-aided communication system can be significantly improved by optimizing RIS deployment locations and the number of reflecting elements.
{"title":"Reconfigurable Intelligent Surface Configuration and Deployment in Three-dimensional Scenarios","authors":"B. Xu, Ting Zhou, Tianheng Xu, Yuzhen Wang","doi":"10.1109/ICCWorkshops50388.2021.9473592","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473592","url":null,"abstract":"The Reconfigurable Intelligent Surface (RIS) is seen as one of the most prospective technologies for next-generation networks. RIS can form virtual line-of-sight (LoS) link during non-line-of-sight (NLoS) transmission to improve system performance with low power consumption, especially for urban scenarios. In this paper, for an RIS-aided system, we extend the two-dimensional path-loss model to a more practical three-dimensional path-loss model. We further compare the system performance differences among RIS, relay and single-input single-output (SISO) systems. We also reveal proper deployment positions of RIS and derive the number of reflecting elements required under different constraints. Numerical results verify the complementarity between RIS and decode-and-forward (DF) relay. The performance of RIS-aided communication system can be significantly improved by optimizing RIS deployment locations and the number of reflecting elements.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124382940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473709
B. Rawal, Gunasekaran Manogaran, Raman Singh, P. M., M. Hamdi
Software-defined networking is a synonym for the term programmable network and is the Key for 5G and beyond networking paradigms. Software-defined network (SDN) provides network management and controlling features irrespective of the hardware configurations and network infrastructure. Network slicing is the process of separation of multiple virtual networks based on different functions or tasks such that one application does not interfere with another network. Network slicing allows separating the control plane from the user's plane. Various investigators have investigated how the slices that have been used for splitting paths can be measured to improve durability. In SDN, the dynamic migration of switches offers a method of offloading the load from one controller to another controller. We have reintroduced the concept of the network (dataflow) splitting for load balancing in SDN. In this paper, we compare the performance techniques and found that the splitting paradigm with dynamic migration offers the most balanced network flow and least overhead on the SDN controller.
{"title":"Network Augmentation by Dynamically Splitting the Switching Function in SDN","authors":"B. Rawal, Gunasekaran Manogaran, Raman Singh, P. M., M. Hamdi","doi":"10.1109/ICCWorkshops50388.2021.9473709","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473709","url":null,"abstract":"Software-defined networking is a synonym for the term programmable network and is the Key for 5G and beyond networking paradigms. Software-defined network (SDN) provides network management and controlling features irrespective of the hardware configurations and network infrastructure. Network slicing is the process of separation of multiple virtual networks based on different functions or tasks such that one application does not interfere with another network. Network slicing allows separating the control plane from the user's plane. Various investigators have investigated how the slices that have been used for splitting paths can be measured to improve durability. In SDN, the dynamic migration of switches offers a method of offloading the load from one controller to another controller. We have reintroduced the concept of the network (dataflow) splitting for load balancing in SDN. In this paper, we compare the performance techniques and found that the splitting paradigm with dynamic migration offers the most balanced network flow and least overhead on the SDN controller.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117015870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473648
Guodong Sun, Stefano Paris, Yulin Hu, Klaus Pedersen
Industrial applications have challenging requirements for wireless communication systems in terms of reliability and latency. Addressing these requirements without excessively consuming radio resources has led to the design of new communication services and resource management schemes. Blind repetition has been proposed as one of the promising features to increase reliability while satisfying the latency constraint by avoiding extra delays existent on feedback-based retransmission schemes. Moreover, performing transmissions of multiple users on the shared resources simultaneously could enhance the resource efficiency, by applying successive interference cancellations for decoding. In this work, we propose a scheduling scheme of multiple blind retransmissions on shared resources, which is based on an optimal shared resources allocation and on an iterative collision resolution algorithm. In addition, following the characterization of the iterative resolution chain, we refine our solution to increasing its robustness against transmission errors. Numerical simulations confirm that the proposed shared resource allocation design requires fewer shared radio resources to achieve the same reliability target compared with the scheme based on non-scheduled blind retransmission on shared resources.
{"title":"Iterative Resolution and Optimal Scheduling of Blind Retransmissions for Multi-user URLLC","authors":"Guodong Sun, Stefano Paris, Yulin Hu, Klaus Pedersen","doi":"10.1109/ICCWorkshops50388.2021.9473648","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473648","url":null,"abstract":"Industrial applications have challenging requirements for wireless communication systems in terms of reliability and latency. Addressing these requirements without excessively consuming radio resources has led to the design of new communication services and resource management schemes. Blind repetition has been proposed as one of the promising features to increase reliability while satisfying the latency constraint by avoiding extra delays existent on feedback-based retransmission schemes. Moreover, performing transmissions of multiple users on the shared resources simultaneously could enhance the resource efficiency, by applying successive interference cancellations for decoding. In this work, we propose a scheduling scheme of multiple blind retransmissions on shared resources, which is based on an optimal shared resources allocation and on an iterative collision resolution algorithm. In addition, following the characterization of the iterative resolution chain, we refine our solution to increasing its robustness against transmission errors. Numerical simulations confirm that the proposed shared resource allocation design requires fewer shared radio resources to achieve the same reliability target compared with the scheme based on non-scheduled blind retransmission on shared resources.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117196855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-01DOI: 10.1109/ICCWorkshops50388.2021.9473847
Xiaonan Liu, Yansha Deng
Wireless-connected Virtual Reality (VR) provides immersive experience for VR users from anywhere at anytime. However, providing wireless VR users with seamless connectivity and real-time VR video with high quality is challenging due to its requirements in high Quality of Experience (QoE) and low VR interaction latency under limited computation capability of VR device. To address these issues, we propose a Mobile Edge Computing (MEC)-enabled wireless VR network, where the field of view (FoV) of each VR user can be real-time predicted using Recurrent Neural Network (RNN), and the rendering of VR content is moved from VR device to MEC server with rendering model migration capability. Taking into account the geographical and FoV request correlation, we propose Deep Reinforcement Learning (DRL) strategies to maximize the long-term QoE of VR users under VR interaction latency constraint. Simulation results show that our proposed MEC rendering schemes and DRL algorithms substantially improve the long-term QoE of VR users and reduce the VR interaction latency compared to MEC rendering with nearest association scheme.
{"title":"A Decoupled Learning Strategy for MEC-enabled Wireless Virtual Reality (VR) Network","authors":"Xiaonan Liu, Yansha Deng","doi":"10.1109/ICCWorkshops50388.2021.9473847","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473847","url":null,"abstract":"Wireless-connected Virtual Reality (VR) provides immersive experience for VR users from anywhere at anytime. However, providing wireless VR users with seamless connectivity and real-time VR video with high quality is challenging due to its requirements in high Quality of Experience (QoE) and low VR interaction latency under limited computation capability of VR device. To address these issues, we propose a Mobile Edge Computing (MEC)-enabled wireless VR network, where the field of view (FoV) of each VR user can be real-time predicted using Recurrent Neural Network (RNN), and the rendering of VR content is moved from VR device to MEC server with rendering model migration capability. Taking into account the geographical and FoV request correlation, we propose Deep Reinforcement Learning (DRL) strategies to maximize the long-term QoE of VR users under VR interaction latency constraint. Simulation results show that our proposed MEC rendering schemes and DRL algorithms substantially improve the long-term QoE of VR users and reduce the VR interaction latency compared to MEC rendering with nearest association scheme.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116798807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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