Pub Date : 2016-04-03DOI: 10.1109/WCNC.2016.7564665
Sonam Maurya, V. Jain
Today's precision agriculture needs advance methods and technology to reduce cost and improve productivity. This paper explores the potential use of wireless sensor network in precision agriculture. An energy efficient network layer routing protocol is required to maximize the lifetime of sensor network. The proposed Threshold Sensitive Region-Based Hybrid Routing (TS-RBHR) protocol uses region-based static clustering approach to provide efficient coverage of agricultural area. The fuzzy based hybrid routing approach is used for transmitting sensed data to base station which minimizes the energy consumption of nodes. Sensor nodes continuously sense temperature and soil moisture content of agricultural field and if sensed value exceeds the desired threshold, a data packet is sent to the base station which reduces the continuous transmission rate. The experimental results show that proposed protocol has a significant increase in network lifetime due to reduction in frequent data transmission.
{"title":"Threshold Sensitive Region-Based Hybrid Routing protocol for precision agriculture","authors":"Sonam Maurya, V. Jain","doi":"10.1109/WCNC.2016.7564665","DOIUrl":"https://doi.org/10.1109/WCNC.2016.7564665","url":null,"abstract":"Today's precision agriculture needs advance methods and technology to reduce cost and improve productivity. This paper explores the potential use of wireless sensor network in precision agriculture. An energy efficient network layer routing protocol is required to maximize the lifetime of sensor network. The proposed Threshold Sensitive Region-Based Hybrid Routing (TS-RBHR) protocol uses region-based static clustering approach to provide efficient coverage of agricultural area. The fuzzy based hybrid routing approach is used for transmitting sensed data to base station which minimizes the energy consumption of nodes. Sensor nodes continuously sense temperature and soil moisture content of agricultural field and if sensed value exceeds the desired threshold, a data packet is sent to the base station which reduces the continuous transmission rate. The experimental results show that proposed protocol has a significant increase in network lifetime due to reduction in frequent data transmission.","PeriodicalId":436094,"journal":{"name":"2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127756598","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 : 2016-04-03DOI: 10.1109/WCNCW.2016.7552691
Sarra Rebhi, R. Barrak, M. Menif
In this paper a novel cognitive Radio over Fiber (RoF) system lined up with Software Defined Networking (SDN) requirements is presented. First, the SDN paradigm for the proposed hybrid RoF system with centralized topology is developed. Then, cognitive process enabling self-aware RoF network is outlined. The goal is to allow traffic and network supervision and enable whole system intelligent management. In particular, we have defined the optical and radio sensing parameters, the required network controllers and the adaptation parameters. To highlight the impact of cognitive processing and the ability of the control plane to enhance the RoF network performances, some test scenarios are investigated.
{"title":"Software Defined Networking for cognitive Radio over Fiber systems","authors":"Sarra Rebhi, R. Barrak, M. Menif","doi":"10.1109/WCNCW.2016.7552691","DOIUrl":"https://doi.org/10.1109/WCNCW.2016.7552691","url":null,"abstract":"In this paper a novel cognitive Radio over Fiber (RoF) system lined up with Software Defined Networking (SDN) requirements is presented. First, the SDN paradigm for the proposed hybrid RoF system with centralized topology is developed. Then, cognitive process enabling self-aware RoF network is outlined. The goal is to allow traffic and network supervision and enable whole system intelligent management. In particular, we have defined the optical and radio sensing parameters, the required network controllers and the adaptation parameters. To highlight the impact of cognitive processing and the ability of the control plane to enhance the RoF network performances, some test scenarios are investigated.","PeriodicalId":436094,"journal":{"name":"2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114670324","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 : 2016-04-03DOI: 10.1109/WCNC.2016.7564705
Berk Gurakan, Berrak Sisman, O. Kaya, S. Ulukus
We consider the energy harvesting two user Gaussian multiple access channel (MAC), where both users harvest energy from nature. The users cooperate at the physical layer (data cooperation) by establishing common messages through overheard signals and then cooperatively sending them. In addition, the users cooperate at the battery level (energy cooperation) by wirelessly transferring energy to each other. We find the jointly optimal offline transmit power and rate allocation policy together with the energy transfer policy that maximizes the departure region. We provide necessary conditions for energy transfer, and prove some properties of the optimal transmit policy, thereby shedding some light on the interplay between energy and data cooperation.
{"title":"Energy and data cooperation in energy harvesting multiple access channel","authors":"Berk Gurakan, Berrak Sisman, O. Kaya, S. Ulukus","doi":"10.1109/WCNC.2016.7564705","DOIUrl":"https://doi.org/10.1109/WCNC.2016.7564705","url":null,"abstract":"We consider the energy harvesting two user Gaussian multiple access channel (MAC), where both users harvest energy from nature. The users cooperate at the physical layer (data cooperation) by establishing common messages through overheard signals and then cooperatively sending them. In addition, the users cooperate at the battery level (energy cooperation) by wirelessly transferring energy to each other. We find the jointly optimal offline transmit power and rate allocation policy together with the energy transfer policy that maximizes the departure region. We provide necessary conditions for energy transfer, and prove some properties of the optimal transmit policy, thereby shedding some light on the interplay between energy and data cooperation.","PeriodicalId":436094,"journal":{"name":"2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127819729","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 : 2016-04-03DOI: 10.1109/WCNC.2016.7564661
Adnan Aijaz
The Tactile Internet will be able to transport touch and actuation in real-time. The primary application running over the Tactile Internet will be haptic communications. Design efforts for both the Tactile Internet and the haptic communications are at a nascent stage. It is expected that the next generation (5G) wireless networks will play a key role in realizing the Tactile Internet. On the other hand, Long Term Evolution Advanced (LTE-A) networks would be an integral component of the 5G ecosystem. Therefore, exploring the potential of LTE-A networks for haptic communications would be an important step towards realizing the Tactile Internet. To this end, the main objective of this paper is to investigate radio resource allocation for haptic communications in LTE-A networks. The radio resource requirements of haptic communications have been translated into a unique resource allocation problem which becomes particularly challenging due to the specific constraints of multiple access schemes in LTE-A networks. Novel heuristic algorithm has been developed to solve the resource allocation problem. Performance evaluation has been conducted using simulation studies for a recently proposed 5G air-interface design.
{"title":"Towards 5G-enabled Tactile Internet: Radio resource allocation for haptic communications","authors":"Adnan Aijaz","doi":"10.1109/WCNC.2016.7564661","DOIUrl":"https://doi.org/10.1109/WCNC.2016.7564661","url":null,"abstract":"The Tactile Internet will be able to transport touch and actuation in real-time. The primary application running over the Tactile Internet will be haptic communications. Design efforts for both the Tactile Internet and the haptic communications are at a nascent stage. It is expected that the next generation (5G) wireless networks will play a key role in realizing the Tactile Internet. On the other hand, Long Term Evolution Advanced (LTE-A) networks would be an integral component of the 5G ecosystem. Therefore, exploring the potential of LTE-A networks for haptic communications would be an important step towards realizing the Tactile Internet. To this end, the main objective of this paper is to investigate radio resource allocation for haptic communications in LTE-A networks. The radio resource requirements of haptic communications have been translated into a unique resource allocation problem which becomes particularly challenging due to the specific constraints of multiple access schemes in LTE-A networks. Novel heuristic algorithm has been developed to solve the resource allocation problem. Performance evaluation has been conducted using simulation studies for a recently proposed 5G air-interface design.","PeriodicalId":436094,"journal":{"name":"2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"42 16","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113934072","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 : 2015-11-24DOI: 10.1109/WCNC.2016.7564703
Seunghyun Lee, Rui Zhang
Energy beamforming (EB) is a key technique for achieving efficient radio-frequency (RF) transmission enabled wireless energy transfer (WET). By optimally designing the waveforms from multiple energy transmitters (ETs) over the wireless channels, they are constructively combined at the energy receiver (ER) to achieve an EB gain that scales with the number of ETs. However, the optimal design of transmit waveforms requires accurate channel state information (CSI) at the ETs, which is challenging to obtain in practical WET systems. In this paper, we propose a new channel training scheme to achieve optimal EB gain in a distributed WET system, where multiple separated ETs adjust their transmit phases to collaboratively send power to a single ER in an iterative manner, based on one-bit feedback from the ER per training interval which indicates the increase/decrease of the received power level from one particular ET over two preassigned transmit phases. The proposed EB algorithm can be efficiently implemented in practical WET systems even with a large number of distributed ETs, and is analytically shown to converge quickly to the optimal EB design as the number of feedback intervals per ET increases. Numerical results are provided to evaluate the performance of the proposed algorithm as compared to other distributed EB designs.
{"title":"Distributed energy beamforming with one-bit feedback","authors":"Seunghyun Lee, Rui Zhang","doi":"10.1109/WCNC.2016.7564703","DOIUrl":"https://doi.org/10.1109/WCNC.2016.7564703","url":null,"abstract":"Energy beamforming (EB) is a key technique for achieving efficient radio-frequency (RF) transmission enabled wireless energy transfer (WET). By optimally designing the waveforms from multiple energy transmitters (ETs) over the wireless channels, they are constructively combined at the energy receiver (ER) to achieve an EB gain that scales with the number of ETs. However, the optimal design of transmit waveforms requires accurate channel state information (CSI) at the ETs, which is challenging to obtain in practical WET systems. In this paper, we propose a new channel training scheme to achieve optimal EB gain in a distributed WET system, where multiple separated ETs adjust their transmit phases to collaboratively send power to a single ER in an iterative manner, based on one-bit feedback from the ER per training interval which indicates the increase/decrease of the received power level from one particular ET over two preassigned transmit phases. The proposed EB algorithm can be efficiently implemented in practical WET systems even with a large number of distributed ETs, and is analytically shown to converge quickly to the optimal EB design as the number of feedback intervals per ET increases. Numerical results are provided to evaluate the performance of the proposed algorithm as compared to other distributed EB designs.","PeriodicalId":436094,"journal":{"name":"2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127560187","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 : 1900-01-01DOI: 10.1109/WCNC.2016.7564707
Mohit Agnihotri, Roman Chirikov, Francesco Militano, C. Cavdar
The paper studies various mesh topology formation techniques that can be used to aid the development of large-scale capillary networks. The work focuses on how mesh networks can be established using Bluetooth Low Energy exploiting the heterogeneous characteristics of the devices in the network. A novel algorithm called Topology Formation considering Role Suitability (TFRS) is proposed aiming to maximize the network lifetime. The algorithm employs a newly introduced metric called role suitability metric (RSM) to assign the best role among master, relay and slave to a participating device. The RSM metric is computed from device characteristics including, but not limited to, energy, mobility and computational capability. We use system-level simulation to evaluate the performance of the proposed algorithm against a reference under a homogeneous deployment scenario consisting of heterogeneous devices. Results show that the network lifetime can be improved significantly when the topology is formed considering the device characteristics for both master role selection and relay selection. TFRS can achieve 20% to 40% higher network lifetime depending on the deployment characteristics over the reference algorithm.
{"title":"Topology Formation in mesh networks considering Role Suitability","authors":"Mohit Agnihotri, Roman Chirikov, Francesco Militano, C. Cavdar","doi":"10.1109/WCNC.2016.7564707","DOIUrl":"https://doi.org/10.1109/WCNC.2016.7564707","url":null,"abstract":"The paper studies various mesh topology formation techniques that can be used to aid the development of large-scale capillary networks. The work focuses on how mesh networks can be established using Bluetooth Low Energy exploiting the heterogeneous characteristics of the devices in the network. A novel algorithm called Topology Formation considering Role Suitability (TFRS) is proposed aiming to maximize the network lifetime. The algorithm employs a newly introduced metric called role suitability metric (RSM) to assign the best role among master, relay and slave to a participating device. The RSM metric is computed from device characteristics including, but not limited to, energy, mobility and computational capability. We use system-level simulation to evaluate the performance of the proposed algorithm against a reference under a homogeneous deployment scenario consisting of heterogeneous devices. Results show that the network lifetime can be improved significantly when the topology is formed considering the device characteristics for both master role selection and relay selection. TFRS can achieve 20% to 40% higher network lifetime depending on the deployment characteristics over the reference algorithm.","PeriodicalId":436094,"journal":{"name":"2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122032916","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 : 1900-01-01DOI: 10.1109/WCNCW.2016.7552724
Minato Oriuchi, O. Takyu, K. Shirai, F. Sasamori, S. Handa, T. Fujii, M. Ohta
Physical conversion sensor networks (PhyC-SN) achieve simultaneous data collection in wireless sensor networks. Although the PhyC-SN can recognize the median and the outliers of all the sensing data simultaneously, their separation into each sensor data is a difficult task. To address this task, we have proposed a data separation method that utilizes multi-target tracking with use of the sensing data and the received spectrum power for the separation. Even if some of the sensor data are close to each other, the instantaneous power of the sensor data bearing signal is a useful feature for the separation. In this paper, we clarify the separation accuracy of our separation method under various wireless environments by computer simulation.
{"title":"Performance evaluation of multi-target tracking for PhyC-SN","authors":"Minato Oriuchi, O. Takyu, K. Shirai, F. Sasamori, S. Handa, T. Fujii, M. Ohta","doi":"10.1109/WCNCW.2016.7552724","DOIUrl":"https://doi.org/10.1109/WCNCW.2016.7552724","url":null,"abstract":"Physical conversion sensor networks (PhyC-SN) achieve simultaneous data collection in wireless sensor networks. Although the PhyC-SN can recognize the median and the outliers of all the sensing data simultaneously, their separation into each sensor data is a difficult task. To address this task, we have proposed a data separation method that utilizes multi-target tracking with use of the sensing data and the received spectrum power for the separation. Even if some of the sensor data are close to each other, the instantaneous power of the sensor data bearing signal is a useful feature for the separation. In this paper, we clarify the separation accuracy of our separation method under various wireless environments by computer simulation.","PeriodicalId":436094,"journal":{"name":"2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131838054","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 : 1900-01-01DOI: 10.1109/WCNCW.2016.7552679
Mohammad Sharsheer, Basel Barakat, K. Arshad
In order to enhance the Long Term Evolution (LTE) network performance, the Third Generation Partnership Project (3GPP) introduced Coverage and Capacity Optimisation (CCO) in the context of Self Organising Network (SON). Antenna parameters (i.e. azimuth, electrical tilt etc.) play a key role in CCO and have a significant impact on the users' Quality of Service (QoS). In this paper, a novel metric, to evaluate the cells performance, that consider several performance indicators, is introduced. Furthermore, a distributed CCO algorithm is proposed which has three distinct phases. The first phase is to determine the target cell, the second phase adjust the antenna parameters for the target and neighbouring cells and in the last phase the optimum antenna parameters for the target and neighbouring cells is determined. The simulation results show significant improvement in the overall network performance with the proposed CCO algorithm. In particular, the target cell average performance can be improved by 16.75%.
{"title":"Coverage and capacity Self-Optimisation in LTE-Advanced using Active Antenna Systems","authors":"Mohammad Sharsheer, Basel Barakat, K. Arshad","doi":"10.1109/WCNCW.2016.7552679","DOIUrl":"https://doi.org/10.1109/WCNCW.2016.7552679","url":null,"abstract":"In order to enhance the Long Term Evolution (LTE) network performance, the Third Generation Partnership Project (3GPP) introduced Coverage and Capacity Optimisation (CCO) in the context of Self Organising Network (SON). Antenna parameters (i.e. azimuth, electrical tilt etc.) play a key role in CCO and have a significant impact on the users' Quality of Service (QoS). In this paper, a novel metric, to evaluate the cells performance, that consider several performance indicators, is introduced. Furthermore, a distributed CCO algorithm is proposed which has three distinct phases. The first phase is to determine the target cell, the second phase adjust the antenna parameters for the target and neighbouring cells and in the last phase the optimum antenna parameters for the target and neighbouring cells is determined. The simulation results show significant improvement in the overall network performance with the proposed CCO algorithm. In particular, the target cell average performance can be improved by 16.75%.","PeriodicalId":436094,"journal":{"name":"2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130888671","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 : 1900-01-01DOI: 10.1109/WCNC.2016.7564706
D. M. Soleymani, André Puschmann, Elke Roth-Mandutz, Jens Mückenheim, A. Mitschele-Thiel
Next generation cellular networks are envisioned to widely enable machine-to-machine (M2M) communication. For many applications in the M2M domain, deterministic communication latencies and high reliability are of very high importance. As a consequence, device-to-device (D2D) communication is a expected to play a key role in order to avoid from having to route the entire data through a centralized base station. Considering the large number of devices but relatively small payload lengths of many M2M applications, LTE currently fails to efficiently utilize the available radio resources. This is primarily because the granularity of resources that can be allocated to a single user is too coarse, resulting in parts of the allocation being wasted. In this paper, we present a hierarchical radio resource management scheme that allows ordinary cellular users to reuse and exploit the otherwise unused portion of a D2D scheduling grant. We show that our resource reuse scheme improves the uplink throughput of cellular users between 10% and 30%, depending on the actual number of D2D users, compared to current allocation schemes.
{"title":"A hierarchical radio resource management scheme for next generation cellular networks","authors":"D. M. Soleymani, André Puschmann, Elke Roth-Mandutz, Jens Mückenheim, A. Mitschele-Thiel","doi":"10.1109/WCNC.2016.7564706","DOIUrl":"https://doi.org/10.1109/WCNC.2016.7564706","url":null,"abstract":"Next generation cellular networks are envisioned to widely enable machine-to-machine (M2M) communication. For many applications in the M2M domain, deterministic communication latencies and high reliability are of very high importance. As a consequence, device-to-device (D2D) communication is a expected to play a key role in order to avoid from having to route the entire data through a centralized base station. Considering the large number of devices but relatively small payload lengths of many M2M applications, LTE currently fails to efficiently utilize the available radio resources. This is primarily because the granularity of resources that can be allocated to a single user is too coarse, resulting in parts of the allocation being wasted. In this paper, we present a hierarchical radio resource management scheme that allows ordinary cellular users to reuse and exploit the otherwise unused portion of a D2D scheduling grant. We show that our resource reuse scheme improves the uplink throughput of cellular users between 10% and 30%, depending on the actual number of D2D users, compared to current allocation schemes.","PeriodicalId":436094,"journal":{"name":"2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115726529","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 : 1900-01-01DOI: 10.1109/WCNCW.2016.7552718
Mukesh Kumar Giluka, M. S. A. Khan, G. Krishna, Touheed Anwar Atif, R. Sathya, T. B. Reddy
Cellular heterogeneous networks (HetNets) are going to be one of the key enablers for 5G. Downlink/Uplink decoupling (DUDe) is a concept in which a mobile device is connected with Macro cell for downlink communication and with small cell for uplink communication in LTE/LTE-A HetNets. It improves uplink data rate, reduces power consumption of devices, balances load between Macro cell and small cells. Due to incorporation of DUDe, a mobile device has to perform separate uplink and downlink handovers unlike traditional handovers in coupled LTE networks. In this paper, we propose various handover schemes for DUDe LTE networks. Apart from this, we have mathematically analysed the received SINR by small cells taken part in decoupling, with respect to a device moving in decoupling regions of these small cells, in multiple cell interference scenario. Simulation results show the signaling impact of DUDe in handovers, increased uplink SINR, decreased power consumption of devices in both single small cell and multiple small cell scenarios.
蜂窝异构网络(HetNets)将成为5G的关键推动因素之一。下行/上行解耦(DUDe)是移动设备在LTE/LTE- a HetNets中与下行通信的宏蜂窝连接，上行通信的小蜂窝连接的概念。它提高了上行数据速率，降低了设备功耗，平衡了宏小区和小小区之间的负载。由于合并了DUDe，移动设备必须执行单独的上行链路和下行链路切换，这与耦合LTE网络中的传统切换不同。在本文中，我们提出了不同的LTE网络切换方案。除此之外，我们还在数学上分析了参与解耦的小单元接收到的信噪比，相对于在这些小单元的解耦区域中移动的设备，在多单元干扰情况下。仿真结果表明，在单个小小区和多个小小区场景下，DUDe在切换中的信令影响，上行SINR的增加，设备功耗的降低。
{"title":"On handovers in Uplink/Downlink decoupled LTE HetNets","authors":"Mukesh Kumar Giluka, M. S. A. Khan, G. Krishna, Touheed Anwar Atif, R. Sathya, T. B. Reddy","doi":"10.1109/WCNCW.2016.7552718","DOIUrl":"https://doi.org/10.1109/WCNCW.2016.7552718","url":null,"abstract":"Cellular heterogeneous networks (HetNets) are going to be one of the key enablers for 5G. Downlink/Uplink decoupling (DUDe) is a concept in which a mobile device is connected with Macro cell for downlink communication and with small cell for uplink communication in LTE/LTE-A HetNets. It improves uplink data rate, reduces power consumption of devices, balances load between Macro cell and small cells. Due to incorporation of DUDe, a mobile device has to perform separate uplink and downlink handovers unlike traditional handovers in coupled LTE networks. In this paper, we propose various handover schemes for DUDe LTE networks. Apart from this, we have mathematically analysed the received SINR by small cells taken part in decoupling, with respect to a device moving in decoupling regions of these small cells, in multiple cell interference scenario. Simulation results show the signaling impact of DUDe in handovers, increased uplink SINR, decreased power consumption of devices in both single small cell and multiple small cell scenarios.","PeriodicalId":436094,"journal":{"name":"2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125482080","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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