Pub Date : 2018-08-01DOI: 10.1109/ISWCS.2018.8491078
Zexian Li, M. Uusitalo, Hamidreza Shariatmadari, Bikramjit Singh
The upcoming fifth generation (5G) wireless communication system is expected to support a broad range of newly emerging applications on top of the regular cellular mobile broadband services. One of the key usage scenarios in the scope of 5G is ultra-reliable and low-latency communications (URLLC). Among the active researchers from both academy and industry, one common view is that URLLC will play an essential role in providing connectivity for the new services and applications from vertical domains, such as factory automation, autonomous driving and so on. The most important key performance indicators (KPIs) related to URLLC are latency, reliability and availability. In this paper, after brief discussion on the design challenges related to URLLC use cases, we present an overview of the available technology components from 3GPP Rel-15 and potential ones from Rel-16. In addition, coordinated multi-cell resource allocation methods are studied. From the system level simulation results in an urban macro environment, it can be observed that effective multi-cell cooperation, more specifically soft combining, can lead to a significant gain in terms of URLLC capacity.
{"title":"5G URLLC: Design Challenges and System Concepts","authors":"Zexian Li, M. Uusitalo, Hamidreza Shariatmadari, Bikramjit Singh","doi":"10.1109/ISWCS.2018.8491078","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491078","url":null,"abstract":"The upcoming fifth generation (5G) wireless communication system is expected to support a broad range of newly emerging applications on top of the regular cellular mobile broadband services. One of the key usage scenarios in the scope of 5G is ultra-reliable and low-latency communications (URLLC). Among the active researchers from both academy and industry, one common view is that URLLC will play an essential role in providing connectivity for the new services and applications from vertical domains, such as factory automation, autonomous driving and so on. The most important key performance indicators (KPIs) related to URLLC are latency, reliability and availability. In this paper, after brief discussion on the design challenges related to URLLC use cases, we present an overview of the available technology components from 3GPP Rel-15 and potential ones from Rel-16. In addition, coordinated multi-cell resource allocation methods are studied. From the system level simulation results in an urban macro environment, it can be observed that effective multi-cell cooperation, more specifically soft combining, can lead to a significant gain in terms of URLLC capacity.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125119431","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491198
Kyowon Jung, Han Wang
In a mobile wireless communication system, a pilot signal is essential for channel estimation, but consumes wireless resources to transmit data. If the channel can be estimated using only the data signal without transmitting the pilot signal, efficiency of radio resource utilization for data transmission can be maximized. In this paper, we propose a channel estimation scheme without any pilot signal, which is so called pilotless channel estimation (Pf.E), The PCE only utilize the data signals and K - means clustering algorithm. Although there is no pilot signal overhead in the PCE, mean square error (MSE) and bit error rate (BER) performance of the PCE outperform those of the least square (LS) channel estimator. For practical performance verification, we use the resource allocation unit used in LTE and 5-th generation mobile communication system. In addition, we examine whether PCE can operate in various carrier frequency and various subcarrier spacing according to numerology of 5-th generation mobile communication.
{"title":"Pilotless Channel Estimation Scheme using Clustering-based Unsupervised Learning","authors":"Kyowon Jung, Han Wang","doi":"10.1109/ISWCS.2018.8491198","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491198","url":null,"abstract":"In a mobile wireless communication system, a pilot signal is essential for channel estimation, but consumes wireless resources to transmit data. If the channel can be estimated using only the data signal without transmitting the pilot signal, efficiency of radio resource utilization for data transmission can be maximized. In this paper, we propose a channel estimation scheme without any pilot signal, which is so called pilotless channel estimation (Pf.E), The PCE only utilize the data signals and K - means clustering algorithm. Although there is no pilot signal overhead in the PCE, mean square error (MSE) and bit error rate (BER) performance of the PCE outperform those of the least square (LS) channel estimator. For practical performance verification, we use the resource allocation unit used in LTE and 5-th generation mobile communication system. In addition, we examine whether PCE can operate in various carrier frequency and various subcarrier spacing according to numerology of 5-th generation mobile communication.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130237210","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491080
Hamed Mirghasemi, I. Stupia, L. Vandendorpe
We consider an energy harvesting transmitter which may need to compress received packets before forwarding them over a flat fading channel. Data compression is required to meet the bandwidth or energy constraint at the cost of data distortion. The objective is to design optimal compression and transmission policies, namely optimal transmission and compression powers, transmission and compression rates and transmission and compression times, such that the total distortion is minimized. In this paper, we consider a time slotted system where new data and energy packets arrive at the beginning of each time slot (TS) and channel gains are assumed to remain constant during each TS. Under the assumption that the energy and data arrivals and channel gains are known non-causally which corresponds to offline optimization, we formulate the compression and transmission scheduling optimization as a convex optimization problem and characterize the properties of optimal scheduling. For the strict delay case where the transmission and compression of each packet must be executed within the corresponding TS, we provide an iterative algorithm which mimics the iterative directional water-filling (IDWF) algorithm. Numerical results are provided to illustrate our results and the properties of optimal scheduling.
{"title":"Optimal Compression and Transmission Policies for Energy Harvesting Nodes","authors":"Hamed Mirghasemi, I. Stupia, L. Vandendorpe","doi":"10.1109/ISWCS.2018.8491080","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491080","url":null,"abstract":"We consider an energy harvesting transmitter which may need to compress received packets before forwarding them over a flat fading channel. Data compression is required to meet the bandwidth or energy constraint at the cost of data distortion. The objective is to design optimal compression and transmission policies, namely optimal transmission and compression powers, transmission and compression rates and transmission and compression times, such that the total distortion is minimized. In this paper, we consider a time slotted system where new data and energy packets arrive at the beginning of each time slot (TS) and channel gains are assumed to remain constant during each TS. Under the assumption that the energy and data arrivals and channel gains are known non-causally which corresponds to offline optimization, we formulate the compression and transmission scheduling optimization as a convex optimization problem and characterize the properties of optimal scheduling. For the strict delay case where the transmission and compression of each packet must be executed within the corresponding TS, we provide an iterative algorithm which mimics the iterative directional water-filling (IDWF) algorithm. Numerical results are provided to illustrate our results and the properties of optimal scheduling.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130303277","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491104
S. Bucher, Ahmed N. Ragab, G. Yammine, R. Fischer, C. Waldschmidt
Massive MIMO is one of the key technologies that enables an increase in capacity in multi-user MIMO systems. However, these systems suffer from high channel estimation complexity and its degradation due to pilot contamination. An attractive way to overcome the key problems of massive MIMO is to resort to noncoherent detection since no actual channel knowledge is needed at the receiver. In this paper, an appropriate antenna design at the base station is proposed when applying noncoherent detection methods. Thereby, the influence of the main antenna characteristics, namely the radiation pattern, gain, and mutual coupling on the symbol error rate performance is assessed for realistic antennas. The evaluation is based on the COST 2100 channel model, properly adapted to the massive MIMO setting. It is shown that proper antenna design can enhance the symbol error rate performance in the noncoherent case in contrast to coherent detection. More specifically, the base station should be equipped with high gain and highly directional antennas. In addition, mutual coupling between adjacent antenna elements at base station may enhance the system performance when present.
{"title":"Antenna Design For Noncoherent Massive MIMO Systems","authors":"S. Bucher, Ahmed N. Ragab, G. Yammine, R. Fischer, C. Waldschmidt","doi":"10.1109/ISWCS.2018.8491104","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491104","url":null,"abstract":"Massive MIMO is one of the key technologies that enables an increase in capacity in multi-user MIMO systems. However, these systems suffer from high channel estimation complexity and its degradation due to pilot contamination. An attractive way to overcome the key problems of massive MIMO is to resort to noncoherent detection since no actual channel knowledge is needed at the receiver. In this paper, an appropriate antenna design at the base station is proposed when applying noncoherent detection methods. Thereby, the influence of the main antenna characteristics, namely the radiation pattern, gain, and mutual coupling on the symbol error rate performance is assessed for realistic antennas. The evaluation is based on the COST 2100 channel model, properly adapted to the massive MIMO setting. It is shown that proper antenna design can enhance the symbol error rate performance in the noncoherent case in contrast to coherent detection. More specifically, the base station should be equipped with high gain and highly directional antennas. In addition, mutual coupling between adjacent antenna elements at base station may enhance the system performance when present.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115491758","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491226
Xin Bian, Jincheng Dai, K. Niu, Zhiqiang He
Recently, polar code has been identified as one of the channel coding schemes in the 5G wireless communication system. One of the challenges in the hardware design of successive cancellation (SC) polar decoder is to reduce the latency. To achieve this goal, in this paper, we first propose the general sequential logic laws (SLL) of SC decoding. The SLL reflects the timing switch relation between the $f$ and 9 operations at various decoding stages. Guided by the SLL, we design a new low-latency SC decoding architecture. It is a novel reformulation for the last two stages of SC decoding so that four bits can be de decoded simultaneously. A polar SC decoder with code length $N$ = 212 is implemented in the Stratix V FPGA to verify the proposed architecture. As a result, 25% decoding latency reduction can be achieved with respect to the already-known mainstream SC decoders.
近年来，极化码已被确定为5G无线通信系统中的信道编码方案之一。如何降低延迟是连续对消(SC)极解码器硬件设计的难点之一。为了实现这一目标，本文首先提出了SC译码的一般顺序逻辑定律(SLL)。SLL反映了在不同解码阶段$f$和9操作之间的时序切换关系。在SLL的指导下，我们设计了一种新的低延迟SC解码架构。这是对SC解码的最后两个阶段的一种新颖的重构，因此可以同时解码四个比特。在Stratix V FPGA中实现了一个编码长度为$N$ = 212的极性SC解码器，以验证所提出的架构。因此，相对于已知的主流SC解码器，可以实现25%的解码延迟减少。
{"title":"A Low-Latency SC Polar Decoder Based on The Sequential Logic Optimization","authors":"Xin Bian, Jincheng Dai, K. Niu, Zhiqiang He","doi":"10.1109/ISWCS.2018.8491226","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491226","url":null,"abstract":"Recently, polar code has been identified as one of the channel coding schemes in the 5G wireless communication system. One of the challenges in the hardware design of successive cancellation (SC) polar decoder is to reduce the latency. To achieve this goal, in this paper, we first propose the general sequential logic laws (SLL) of SC decoding. The SLL reflects the timing switch relation between the $f$ and 9 operations at various decoding stages. Guided by the SLL, we design a new low-latency SC decoding architecture. It is a novel reformulation for the last two stages of SC decoding so that four bits can be de decoded simultaneously. A polar SC decoder with code length $N$ = 212 is implemented in the Stratix V FPGA to verify the proposed architecture. As a result, 25% decoding latency reduction can be achieved with respect to the already-known mainstream SC decoders.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125428769","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491088
Xuewen Qian, M. Renzo
The design of communication systems typically relies on the development of mathematical models that describe the underlying communication channel. In many communication systems, however, accurate channel models may not be known, or the models may not be accurate enough or even not available for efficient system design. In these scenarios, a completely new approach to communication system design and analysis is required. An example of such situations arises in the emerging research field of molecular communications, for which it is very difficult to develop accurate analytical models for several operating scenarios. In this context, the use of data-driven techniques based on artificial neural networks may provide an alternative and suitable solution towards the design and analysis of molecular communication systems. In this paper, we explore the potential of artificial neural networks for application to the design of robust receiver schemes. We study a molecular communication system in the presence of inter-symbol interference and show that a receiver based on artificial neural networks can be trained by using only empirical (raw) data and can provide the same performance as a receiver that has perfect knowledge of the underlaying channel model.
{"title":"Receiver Design in Molecular Communications: An Approach Based on Artificial Neural Networks","authors":"Xuewen Qian, M. Renzo","doi":"10.1109/ISWCS.2018.8491088","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491088","url":null,"abstract":"The design of communication systems typically relies on the development of mathematical models that describe the underlying communication channel. In many communication systems, however, accurate channel models may not be known, or the models may not be accurate enough or even not available for efficient system design. In these scenarios, a completely new approach to communication system design and analysis is required. An example of such situations arises in the emerging research field of molecular communications, for which it is very difficult to develop accurate analytical models for several operating scenarios. In this context, the use of data-driven techniques based on artificial neural networks may provide an alternative and suitable solution towards the design and analysis of molecular communication systems. In this paper, we explore the potential of artificial neural networks for application to the design of robust receiver schemes. We study a molecular communication system in the presence of inter-symbol interference and show that a receiver based on artificial neural networks can be trained by using only empirical (raw) data and can provide the same performance as a receiver that has perfect knowledge of the underlaying channel model.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124399497","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491190
Antonios Pitarokoilis, J. Gross, M. Skoglund
The efficient design of ultra-reliable low-latency communication (URLLC) is a major research objective for next generation wireless systems, in particular for industrial automation applications. Massive MIMO has been successful in providing high spectral and energy efficiency, and it is of importance to investigate the potential gains and limitations it exhibits when applied for URLLC. We study a scenario where two sets of nodes with different traffic characteristics communicate with a central node equipped with multiple antenna elements. We characterize the outage probability when fully orthogonal training sequences are used versus sharing of the training sequences between the two sets of nodes. It is shown that substantial performance gains can be reaped with shared training sequences when there are strict latency requirements and/or large number of nodes to be served.
{"title":"Ultra-Reliable Low-Latency Communication of Periodic and Event - Triggered Dependable Traffic Streams","authors":"Antonios Pitarokoilis, J. Gross, M. Skoglund","doi":"10.1109/ISWCS.2018.8491190","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491190","url":null,"abstract":"The efficient design of ultra-reliable low-latency communication (URLLC) is a major research objective for next generation wireless systems, in particular for industrial automation applications. Massive MIMO has been successful in providing high spectral and energy efficiency, and it is of importance to investigate the potential gains and limitations it exhibits when applied for URLLC. We study a scenario where two sets of nodes with different traffic characteristics communicate with a central node equipped with multiple antenna elements. We characterize the outage probability when fully orthogonal training sequences are used versus sharing of the training sequences between the two sets of nodes. It is shown that substantial performance gains can be reaped with shared training sequences when there are strict latency requirements and/or large number of nodes to be served.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114239855","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491251
Zheng Li, Shuo Chen, Caili Guo
Device-to-device (D2D) communication underlaying cellular networks has been recognized as a promising technique to improve spectrum efficiency. However, densely deployed D2D pairs could cause severe interference to cellular user equipments (CUEs) without proper spectrum allocation. Since the CUEs are the primary users of the spectrum band, the quality of service(QoS) of CUEs should be guaranteed. Therefore, the location-aware hypergraph coloring (LAHC) based spectrum allocation algorithm is proposed in uplink D2D underlaying cellular networks. For a particular CUE, the entire cell area is divided into location-aware regions. A set of D2D pairs identified by these regions are limited when sharing spectrum with the CUE to protect the CUE from connection interruption. In addition, we study spectrum allocation using hypergraph coloring method to eliminate cumulative interference from multiple D2D pairs. Simulation indicates that the proposed spectrum allocation algorithm can both guarantee that D2D links will not cause service disruption to CUEs and significantly improve the system capacity,
{"title":"Location-Aware Hypergraph Coloring Based Spectrum Allocation for D2D Communication","authors":"Zheng Li, Shuo Chen, Caili Guo","doi":"10.1109/ISWCS.2018.8491251","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491251","url":null,"abstract":"Device-to-device (D2D) communication underlaying cellular networks has been recognized as a promising technique to improve spectrum efficiency. However, densely deployed D2D pairs could cause severe interference to cellular user equipments (CUEs) without proper spectrum allocation. Since the CUEs are the primary users of the spectrum band, the quality of service(QoS) of CUEs should be guaranteed. Therefore, the location-aware hypergraph coloring (LAHC) based spectrum allocation algorithm is proposed in uplink D2D underlaying cellular networks. For a particular CUE, the entire cell area is divided into location-aware regions. A set of D2D pairs identified by these regions are limited when sharing spectrum with the CUE to protect the CUE from connection interruption. In addition, we study spectrum allocation using hypergraph coloring method to eliminate cumulative interference from multiple D2D pairs. Simulation indicates that the proposed spectrum allocation algorithm can both guarantee that D2D links will not cause service disruption to CUEs and significantly improve the system capacity,","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114170640","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491071
J. Israel, A. Fischer, Meik Dörpinghaus
Antenna arrays fed by cascaded Butler matrix networks can be used to enable a very flexible wireless communication network between computer boards. However, the quality of the wireless links, particularly considering interference, depends on the design of the Butler matrices and on certain topology parameters, like the distance of boards, placement of antenna arrays, and the distance of antenna elements within the antenna arrays. In this paper, we model such a wireless multi-link board-to-board communication scenario and investigate the influence of these parameters. The Worst-Case Signal-to-Interference-and-Noise-Ratio (WCSINR) of a link is used as a measure of quality. We show that an optimization of the topological parameters significantly improves the (average) WCSINRs and yields a better performance of the communication links.
{"title":"On Wireless Board-to-Board Communication with Cascaded Butler Matrices","authors":"J. Israel, A. Fischer, Meik Dörpinghaus","doi":"10.1109/ISWCS.2018.8491071","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491071","url":null,"abstract":"Antenna arrays fed by cascaded Butler matrix networks can be used to enable a very flexible wireless communication network between computer boards. However, the quality of the wireless links, particularly considering interference, depends on the design of the Butler matrices and on certain topology parameters, like the distance of boards, placement of antenna arrays, and the distance of antenna elements within the antenna arrays. In this paper, we model such a wireless multi-link board-to-board communication scenario and investigate the influence of these parameters. The Worst-Case Signal-to-Interference-and-Noise-Ratio (WCSINR) of a link is used as a measure of quality. We show that an optimization of the topological parameters significantly improves the (average) WCSINRs and yields a better performance of the communication links.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114826652","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 : 2018-08-01DOI: 10.1109/ISWCS.2018.8491096
Jingzhou Wu, Yongyu Chang, Mengshi Hu
User grouping and resource allocation can significantly improve the performance of massive multi-input multi-output (MIMO) systems. Correlation based user grouping is a low-complexity method to avoid users of high inter user interference (IUI) reusing same time-frequency resource. However, it is seldom proposed in uplink massive MIMO systems. In this paper, a correlation based uplink user scheduling algorithm is proposed. In the algorithm, channel correlation combining with transmit power is utilized to estimate IUI, and RB number of a user is considered combining with the uplink power control process in LTE-A. Proportional fairness (PF) is also utilized in our algorithm to ensure user fairness. Analysis and simulation results show that the complexity of our algorithm is effectively reduced with acceptable loss of performance.
{"title":"Correlation Based User Grouping and Resource Allocation in Uplink Massive MIMO Systems","authors":"Jingzhou Wu, Yongyu Chang, Mengshi Hu","doi":"10.1109/ISWCS.2018.8491096","DOIUrl":"https://doi.org/10.1109/ISWCS.2018.8491096","url":null,"abstract":"User grouping and resource allocation can significantly improve the performance of massive multi-input multi-output (MIMO) systems. Correlation based user grouping is a low-complexity method to avoid users of high inter user interference (IUI) reusing same time-frequency resource. However, it is seldom proposed in uplink massive MIMO systems. In this paper, a correlation based uplink user scheduling algorithm is proposed. In the algorithm, channel correlation combining with transmit power is utilized to estimate IUI, and RB number of a user is considered combining with the uplink power control process in LTE-A. Proportional fairness (PF) is also utilized in our algorithm to ensure user fairness. Analysis and simulation results show that the complexity of our algorithm is effectively reduced with acceptable loss of performance.","PeriodicalId":272951,"journal":{"name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130097701","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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