Pub Date : 2019-09-01DOI: 10.1109/VTCFall.2019.8891078
Seju Park, Han-Shin Jo, Cheol Mun, J. Yook
The optimal number of clusters (K) differs depending on the radio remote head (RRH) density. This paper verifies that the K values cannot be met by the conventional affinity propagation (AP) clustering algorithm. In an ultra-dense network (UDN) environment, the density of RRH is a very important factor for the bender because it is directly related to the cost of configuring the wireless communication network. Likewise, in order to provide the optimal communication environment to the user in the UDN environment, it is necessary to enable flexible clustering according to changing channel environment by utilizing semi-dynamic clustering technology. As a result, we propose an AP algorithm that finds a better K value than the conventional method. To this end, the proposed algorithm additionally utilizes a non-coordinated multi-point (CoMP) interference power that varies depending on the RRH density, user position, and the variations in propagation channel. The simulation results show that the proposed algorithm shows a better average capacity than the conventional algorithm.
{"title":"Radio Remote Head Clustering with Affinity Propagation Algorithm in C-RAN","authors":"Seju Park, Han-Shin Jo, Cheol Mun, J. Yook","doi":"10.1109/VTCFall.2019.8891078","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891078","url":null,"abstract":"The optimal number of clusters (K) differs depending on the radio remote head (RRH) density. This paper verifies that the K values cannot be met by the conventional affinity propagation (AP) clustering algorithm. In an ultra-dense network (UDN) environment, the density of RRH is a very important factor for the bender because it is directly related to the cost of configuring the wireless communication network. Likewise, in order to provide the optimal communication environment to the user in the UDN environment, it is necessary to enable flexible clustering according to changing channel environment by utilizing semi-dynamic clustering technology. As a result, we propose an AP algorithm that finds a better K value than the conventional method. To this end, the proposed algorithm additionally utilizes a non-coordinated multi-point (CoMP) interference power that varies depending on the RRH density, user position, and the variations in propagation channel. The simulation results show that the proposed algorithm shows a better average capacity than the conventional algorithm.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"180 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84061295","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}
In this paper, a layered-division multiplexing (LDM) based non-orthogonal transmission framework is proposed to enhance the spectral efficiency of Multicast- Broadcast Single Frequency Network (MBSFN). In this framework, different ranges of MBSFN areas are incorporated into a two-layer LDM system, one layer is for small scale local services, the other layer is for large scale global service. To optimize the proposed transmission framework, we design a cooperative beamforming scheme and abstract it as a max-min fair (MMF) problem. We transform the problem into the difference of convex (DC) structure and design a concave-convex procedure (CCCP) based algorithm to find a local optimal of the problem. In addition, performance upper bounds and baselines are formed through semidefinite relaxation (SDR). The results show that the proposed CCCP-based algorithm performs close to upper bounds and better than the SDR-based approach. And this LDM-based non-orthogonal transmission framework also acquires better spectral efficiency than the orthogonal transmission frameworks.
{"title":"Layered-Division Multiplexing Multicell Cooperative Multicast-Broadcast Beamforming","authors":"Tao Fang, Dazhi He, Yin Xu, Yijia Feng, Yiwei Zhang, Wenjun Zhang","doi":"10.1109/VTCFall.2019.8891417","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891417","url":null,"abstract":"In this paper, a layered-division multiplexing (LDM) based non-orthogonal transmission framework is proposed to enhance the spectral efficiency of Multicast- Broadcast Single Frequency Network (MBSFN). In this framework, different ranges of MBSFN areas are incorporated into a two-layer LDM system, one layer is for small scale local services, the other layer is for large scale global service. To optimize the proposed transmission framework, we design a cooperative beamforming scheme and abstract it as a max-min fair (MMF) problem. We transform the problem into the difference of convex (DC) structure and design a concave-convex procedure (CCCP) based algorithm to find a local optimal of the problem. In addition, performance upper bounds and baselines are formed through semidefinite relaxation (SDR). The results show that the proposed CCCP-based algorithm performs close to upper bounds and better than the SDR-based approach. And this LDM-based non-orthogonal transmission framework also acquires better spectral efficiency than the orthogonal transmission frameworks.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80260512","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 : 2019-09-01DOI: 10.1109/VTCFall.2019.8891444
T. Kageyama, O. Muta
In orthogonal frequency division multiplexing (OFDM) with massive multi-input multiple-output (mMIMO), the reduction of the high peak-to-average power ratio (PAPR) is a challenging problem. Recently, an adaptive peak cancellation is proposed to reduce the transmitted signal’s PAPR, while keeping the out-of-band leakage power (ACLR) as well as an in-band distortion power (EVM) below the predetermined and permissible value. In this paper, we propose an analytical method to evaluate achievable BER performance of downlink OFDM with the peak cancellation in massive multi-input-multioutput (mMIMO) systems using arbitrary numbers of transmit antennas and served users. In this method, bit error rate (BER) is derived based on the assumption that in-band distortion due to peak cancellation is approximated as random variable following Gaussian distribution, provided that variance of the Gaussian distribution in two user case is known. The results clarify that theoretical BER expressions for arbitrary numbers of transmit antennas and served users show good agreements with its simulation results. In addition, we clarified the impact of the increase of the number of transmit antennas on achievable BER and PAPR reduction capability in MRC precoded mMIMOOFDM system with the peak cancellation.
{"title":"Bit Error Rate Analysis of MRC Precoded Massive MIMO-OFDM Systems with Peak Cancellation","authors":"T. Kageyama, O. Muta","doi":"10.1109/VTCFall.2019.8891444","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891444","url":null,"abstract":"In orthogonal frequency division multiplexing (OFDM) with massive multi-input multiple-output (mMIMO), the reduction of the high peak-to-average power ratio (PAPR) is a challenging problem. Recently, an adaptive peak cancellation is proposed to reduce the transmitted signal’s PAPR, while keeping the out-of-band leakage power (ACLR) as well as an in-band distortion power (EVM) below the predetermined and permissible value. In this paper, we propose an analytical method to evaluate achievable BER performance of downlink OFDM with the peak cancellation in massive multi-input-multioutput (mMIMO) systems using arbitrary numbers of transmit antennas and served users. In this method, bit error rate (BER) is derived based on the assumption that in-band distortion due to peak cancellation is approximated as random variable following Gaussian distribution, provided that variance of the Gaussian distribution in two user case is known. The results clarify that theoretical BER expressions for arbitrary numbers of transmit antennas and served users show good agreements with its simulation results. In addition, we clarified the impact of the increase of the number of transmit antennas on achievable BER and PAPR reduction capability in MRC precoded mMIMOOFDM system with the peak cancellation.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"65 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81448318","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 : 2019-09-01DOI: 10.1109/VTCFall.2019.8891138
Nick Schwarzenberg, Friedrich Burmeister, Albrecht Wolf, Norman Franchi, G. Fettweis
Multi-connectivity is a key enabler for realtime applications demanding high reliability such as connected vehicles. Employing macro-diversity with distributed transceivers has the advantage of mitigating large-scale losses such as shadowing, but may incur time offsets between packets, requiring the receiver to synchronize to each packet individually. Since packet detection is prerequisite for any downstream receiver processing, synchronization can become a bottleneck to achieving high reliability. In this paper, we propose a concept to improve receiver performance in macro-diversity multi-connectivity networks in case of time offsets between packets, for instance, due to loose synchronization of distributed transmitters. By buffering the inputs of parallel receiver paths and allowing for iterative synchronization, successfully detected packets can serve as extended correlation sequence to detect previously undetected packets which thereby become available to diversity combining. Taking link-level simulations of IEEE 802.11 (WLAN) as an example, we demonstrate the efficacy of such Joint Synchronization (JS) and provide first numerical results. We see an SNR gain of about 1 dB in the mid-SNR range, which is equivalent to a packet error rate reduction by an order of magnitude for four-fold diversity. With power consumption in mind, we consider the trade-off between implementation complexity and the gain of JS. We conclude that JS is a viable backwards-compatible approach to improve diversity combining of delayed packets in multi-connectivity networks.
{"title":"Joint Synchronization in Macro-Diversity Multi-Connectivity Networks","authors":"Nick Schwarzenberg, Friedrich Burmeister, Albrecht Wolf, Norman Franchi, G. Fettweis","doi":"10.1109/VTCFall.2019.8891138","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891138","url":null,"abstract":"Multi-connectivity is a key enabler for realtime applications demanding high reliability such as connected vehicles. Employing macro-diversity with distributed transceivers has the advantage of mitigating large-scale losses such as shadowing, but may incur time offsets between packets, requiring the receiver to synchronize to each packet individually. Since packet detection is prerequisite for any downstream receiver processing, synchronization can become a bottleneck to achieving high reliability. In this paper, we propose a concept to improve receiver performance in macro-diversity multi-connectivity networks in case of time offsets between packets, for instance, due to loose synchronization of distributed transmitters. By buffering the inputs of parallel receiver paths and allowing for iterative synchronization, successfully detected packets can serve as extended correlation sequence to detect previously undetected packets which thereby become available to diversity combining. Taking link-level simulations of IEEE 802.11 (WLAN) as an example, we demonstrate the efficacy of such Joint Synchronization (JS) and provide first numerical results. We see an SNR gain of about 1 dB in the mid-SNR range, which is equivalent to a packet error rate reduction by an order of magnitude for four-fold diversity. With power consumption in mind, we consider the trade-off between implementation complexity and the gain of JS. We conclude that JS is a viable backwards-compatible approach to improve diversity combining of delayed packets in multi-connectivity networks.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81544030","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 : 2019-09-01DOI: 10.1109/VTCFall.2019.8891131
S. Narieda, Daiki Cho, Hiromichi Ogasawara, K. Umebayashi, T. Fujii, H. Naruse
Maximum cyclic autocorrelation selection (MCAS)-based spectrum sensing is one of the low complexity spectrum sensing techniques in cyclostationary detection techniques. However, spectrum sensing features of MCAS- based spectrum sensing have never been theoretically derived. This paper provides a derivation result of spectrum sensing characteristics for MCAS-based spectrum sensing in cognitive radio networks. In this study, we derive closed form solutions for signal detection probability and false alarm probability for MCAS-based spectrum sensing. The theoretical values are compared with numerical examples, and the examples demonstrate that numerical and theoretical values match well with each other.
{"title":"Derivation of Sensing Features for Maximum Cyclic Autocorrelation Selection Based Signal Detection","authors":"S. Narieda, Daiki Cho, Hiromichi Ogasawara, K. Umebayashi, T. Fujii, H. Naruse","doi":"10.1109/VTCFall.2019.8891131","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891131","url":null,"abstract":"Maximum cyclic autocorrelation selection (MCAS)-based spectrum sensing is one of the low complexity spectrum sensing techniques in cyclostationary detection techniques. However, spectrum sensing features of MCAS- based spectrum sensing have never been theoretically derived. This paper provides a derivation result of spectrum sensing characteristics for MCAS-based spectrum sensing in cognitive radio networks. In this study, we derive closed form solutions for signal detection probability and false alarm probability for MCAS-based spectrum sensing. The theoretical values are compared with numerical examples, and the examples demonstrate that numerical and theoretical values match well with each other.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"75 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90987190","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 : 2019-09-01DOI: 10.1109/VTCFall.2019.8891184
Henning F. Schepker, Ahmad Saad
Coexistence of wireless systems in unlicensed bands is considered a severe performance bottleneck, given the heterogeneous and uncoordinated nature of the wireless technologies. A promising approach to address this issue is to apply cognitive radio (CR) techniques, which are capable of accurately predicting the quality-of-service (QoS). This enables highly reliable QoS management and performance guarantees for applications with strict requirements, such as industrial automation or connected driving. Furthermore, accurate QoS prediction is very important for the reliability of safety critical applications. To this end, we present a novel analytical model for predicting the probability distribution of the latency based on Markov Chains (MC) for transmission systems, which employ Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) as a medium access scheme. Further, we validate the high accuracy of the prediction model using ns-3 simulations of an IEEE 802.11n communication.
{"title":"Accurate QoS Prediction for CSMA/CA Systems with Uncorrelated Interference","authors":"Henning F. Schepker, Ahmad Saad","doi":"10.1109/VTCFall.2019.8891184","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891184","url":null,"abstract":"Coexistence of wireless systems in unlicensed bands is considered a severe performance bottleneck, given the heterogeneous and uncoordinated nature of the wireless technologies. A promising approach to address this issue is to apply cognitive radio (CR) techniques, which are capable of accurately predicting the quality-of-service (QoS). This enables highly reliable QoS management and performance guarantees for applications with strict requirements, such as industrial automation or connected driving. Furthermore, accurate QoS prediction is very important for the reliability of safety critical applications. To this end, we present a novel analytical model for predicting the probability distribution of the latency based on Markov Chains (MC) for transmission systems, which employ Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) as a medium access scheme. Further, we validate the high accuracy of the prediction model using ns-3 simulations of an IEEE 802.11n communication.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"201 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89037888","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 : 2019-09-01DOI: 10.1109/VTCFall.2019.8891408
Kenta Taniyama, Y. Kishiyama, K. Higuchi
This paper proposes an extension to a previously reported low latency hybrid automatic repeat request (HARQ) method that uses early retransmission prior to channel decoding to perform multistage judgment at early-retransmission decision. The previous method mitigates the increased transmission latency resulting mainly from the delay time required for channel decoding in HARQ by requesting early retransmission before the channel decoding process is completed based on the channel state information (CSI) obtained before channel decoding. However, the early-retransmission decision may include error that results in unnecessary retransmission and consequently throughput loss. To address the potential throughput loss due to the decision error in the early-retransmission request, we use multistage decision in which the number of bits conveyed by the early-retransmission packet is controlled dependent on the measured CSI before channel decoding. By setting the number of retransmitted coded bits to a low value when the observed channel state seems on the verge of performing early retransmission, we reduce the throughput loss when the early retransmission is not necessary since the initial packet is eventually channel decoded correctly. Simulation results show that the proposed extension further improves the achievable tradeoff between the transmission latency and throughput, which contributes to achieving ultra-reliable low latency communications (URLLC).
{"title":"Low Latency HARQ Method Using Early Retransmission Prior to Channel Decoding with Multistage Decision","authors":"Kenta Taniyama, Y. Kishiyama, K. Higuchi","doi":"10.1109/VTCFall.2019.8891408","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891408","url":null,"abstract":"This paper proposes an extension to a previously reported low latency hybrid automatic repeat request (HARQ) method that uses early retransmission prior to channel decoding to perform multistage judgment at early-retransmission decision. The previous method mitigates the increased transmission latency resulting mainly from the delay time required for channel decoding in HARQ by requesting early retransmission before the channel decoding process is completed based on the channel state information (CSI) obtained before channel decoding. However, the early-retransmission decision may include error that results in unnecessary retransmission and consequently throughput loss. To address the potential throughput loss due to the decision error in the early-retransmission request, we use multistage decision in which the number of bits conveyed by the early-retransmission packet is controlled dependent on the measured CSI before channel decoding. By setting the number of retransmitted coded bits to a low value when the observed channel state seems on the verge of performing early retransmission, we reduce the throughput loss when the early retransmission is not necessary since the initial packet is eventually channel decoded correctly. Simulation results show that the proposed extension further improves the achievable tradeoff between the transmission latency and throughput, which contributes to achieving ultra-reliable low latency communications (URLLC).","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"9 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91532875","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 : 2019-09-01DOI: 10.1109/VTCFall.2019.8891355
Jhe-Yi Lin, Hsuan-Jung Su, Chen-Chieh Hong, Yasuhiro Takano
Massive multiple-input multiple-output (MIMO) will be an important ingredient in millimeter-wave (mmWave) cellular communication systems. A natural application of massive MIMO is simultaneous transmission to multiple users. Unfortunately, the hardware constraints in massive MIMO make it difficult to apply the conventional fully digital beamforming techniques, especially in the mmWave bands. Thus hybrid beamforming (HB) in which the overall beamformer consists of a low-dimensional digital beamformer followed by an analog beamformer has been proposed for reducing the number of costly radio frequency (RF) chains in massive MIMO systems. This paper considers an HB design for multi-user massive MIMO systems. We design a sub-optimal analog precoder based on the downlink-uplink duality. To support the general situation where the number of RF chains is not necessarily equal to the number of users, we propose a greedy selection algorithm to allocate RF chains. Finally, we consider the hardware impairment in analog part and extend the proposed algorithm to support the use of finite resolution phase shifters. Simulation results demonstrate that the proposed HB method makes a better tradeoff between complexity and performance compared with existing methods.
{"title":"Low Complexity Hybrid Precoder Design for mmWave Multi-User MIMO Systems: A Non-Iterative Approach","authors":"Jhe-Yi Lin, Hsuan-Jung Su, Chen-Chieh Hong, Yasuhiro Takano","doi":"10.1109/VTCFall.2019.8891355","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891355","url":null,"abstract":"Massive multiple-input multiple-output (MIMO) will be an important ingredient in millimeter-wave (mmWave) cellular communication systems. A natural application of massive MIMO is simultaneous transmission to multiple users. Unfortunately, the hardware constraints in massive MIMO make it difficult to apply the conventional fully digital beamforming techniques, especially in the mmWave bands. Thus hybrid beamforming (HB) in which the overall beamformer consists of a low-dimensional digital beamformer followed by an analog beamformer has been proposed for reducing the number of costly radio frequency (RF) chains in massive MIMO systems. This paper considers an HB design for multi-user massive MIMO systems. We design a sub-optimal analog precoder based on the downlink-uplink duality. To support the general situation where the number of RF chains is not necessarily equal to the number of users, we propose a greedy selection algorithm to allocate RF chains. Finally, we consider the hardware impairment in analog part and extend the proposed algorithm to support the use of finite resolution phase shifters. Simulation results demonstrate that the proposed HB method makes a better tradeoff between complexity and performance compared with existing methods.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"15 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87878930","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 : 2019-09-01DOI: 10.1109/VTCFall.2019.8891171
Richard Tano, Martina Tran, P. Frenger
In this paper we evaluate the performance impact of introducing the new deep sleep state features that may be deployed in 5G NR base stations. We evaluate the effects on traffic performance and energy efficiency by applying an updated power consumption model. Previously proposed power models may be too optimistic and thus the impact of a new more conservative power model has been investigated. A sensitivity analysis is also performed to understand the effects on the KPIs with various parameter settings of the power model. In the evaluations we show that the energy savings that is achievable by using a more conservative power model is still very high and that the impact on user performance can be small if the sleep states are applied in a thoughtful manner. Up to 80% energy savings is possible to achieve in a 5G hetnet scenario. The performance impact can be limited to a few percent extra delay on file transmissions. It is also found that even quite large modifications to the power model give similar results.
{"title":"KPI Impact on 5G NR Deep Sleep State Adaption","authors":"Richard Tano, Martina Tran, P. Frenger","doi":"10.1109/VTCFall.2019.8891171","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891171","url":null,"abstract":"In this paper we evaluate the performance impact of introducing the new deep sleep state features that may be deployed in 5G NR base stations. We evaluate the effects on traffic performance and energy efficiency by applying an updated power consumption model. Previously proposed power models may be too optimistic and thus the impact of a new more conservative power model has been investigated. A sensitivity analysis is also performed to understand the effects on the KPIs with various parameter settings of the power model. In the evaluations we show that the energy savings that is achievable by using a more conservative power model is still very high and that the impact on user performance can be small if the sleep states are applied in a thoughtful manner. Up to 80% energy savings is possible to achieve in a 5G hetnet scenario. The performance impact can be limited to a few percent extra delay on file transmissions. It is also found that even quite large modifications to the power model give similar results.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"23 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88186748","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：