随着移动设备和无线应用爆炸式增长,蜂窝网络流量迅速增加,许可频段蜂窝网络容量难以满足用户日益增长的数据速率需求.WLAN(Wireless Local Area Network,无线局域网)与LTE(Long Term Evolution,长期演进)蜂窝异构网络中的数据卸载技术...随着移动设备和无线应用爆炸式增长,蜂窝网络流量迅速增加,许可频段蜂窝网络容量难以满足用户日益增长的数据速率需求.WLAN(Wireless Local Area Network,无线局域网)与LTE(Long Term Evolution,长期演进)蜂窝异构网络中的数据卸载技术能有效缓解蜂窝无线访问的频谱资源紧缺问题.然而,现有LTE-WLAN数据卸载方案并未考虑密集部署问题,也未考虑基于IEEE 802.11ax协议的下一代高效WLAN针对密集部署提出的提速新技术所带来优势.本文利用下一代WLAN的多用户传输特性来缓解蜂窝的资源竞争,通过将部分蜂窝用户卸载到IEEE 802.11ax WLAN网络来保障蜂窝网络的单用户吞吐率.提出的卸载方案建立WLAN和LTE异构密集网络的吞吐率形式化表达式,根据网络系统容量查找蜂窝网络中的最优卸载数,以解决有限的蜂窝网络资源与海量高速业务需求的矛盾.仿真结果表明:在密集部署的异构网络中,所提的方案在保证WLAN用户服务质量的同时,最大限度地提高了LTE网络单用户吞吐率,提升了LTE网络的用户体验.展开更多
IEEE 802.11ax系统中站点(Station,STA)数量众多和潜在的高数据包冲突率导致无线局域网通信效率显著降低,本文针对上行多用户传输中的无效帧填充问题,以每轮传输中用户组的传输延迟为优化目标,提出一种多用户调度和资源分配算法。基于OF...IEEE 802.11ax系统中站点(Station,STA)数量众多和潜在的高数据包冲突率导致无线局域网通信效率显著降低,本文针对上行多用户传输中的无效帧填充问题,以每轮传输中用户组的传输延迟为优化目标,提出一种多用户调度和资源分配算法。基于OFDMA上行调度接入中动态传输时间的帧交互方案,接入点(Access Point,AP)结合STA提供的信道状态信息(Channel State Information,CSI)和缓冲区状态报告(Buffer State Report,BSR)信息来确定各站点的传输延迟;针对最小化组内用户传输延迟差的优化问题,设计传输机会(Transmit Opportunity,TXOP)时长内用户分组策略及资源块(Resource Unit,RU)-STA匹配方案;进而以最大化信道利用率为目标,确定各站点的发射功率,同时保障每组用户的传输速率。与参考调度策略对比,本文提出的调度和资源分配算法在连续多帧传输的信道利用率上有10%~15%的提升,同时也保证了用户间传输速率的稳定性。展开更多
IEEE 802.11ax,which is an emerging WLAN standard,aims at providing highly efficient communication in ultra-dense wireless networks.However,due to a large number of stations(STAs)in the ultra-dense device deployment sc...IEEE 802.11ax,which is an emerging WLAN standard,aims at providing highly efficient communication in ultra-dense wireless networks.However,due to a large number of stations(STAs)in the ultra-dense device deployment scenarios,the potentially high packet collision rate significantly decreases the communication efficiency of WLAN.In this paper,we propose an adaptive STA grouping scheme to overcome this dense network challenge in IEEE 802.11ax by using Buffer State Report(BSR)based Two-stage Mechanism(BTM).In order to achieve the optimal efficiency of BSR delivery,we analyze the functional relationship between STA number in group and Resource Unit(RU)efficiency.Based on this analysis results,an adaptive STA grouping algorithm with variable group size is proposed to achieve efficient grouping in BTM.The numerical results demonstrate that the proposed adaptive BTM grouping algorithm significantly improves the BSR delivery efficiency and the throughput of overall system and each STA in the ultra-dense wireless network.展开更多
The new IEEE 802.11 standard, IEEE 802.11ax, has the challenging goal of serving more Uplink (UL) traffic and users as compared with his predecessor IEEE 802.11ac, enabling consistent and reliable streams of data (ave...The new IEEE 802.11 standard, IEEE 802.11ax, has the challenging goal of serving more Uplink (UL) traffic and users as compared with his predecessor IEEE 802.11ac, enabling consistent and reliable streams of data (average throughput) per station. In this paper we explore several new IEEE 802.11ax UL scheduling mechanisms and compare between the maximum throughputs of unidirectional UDP Multi Users (MU) triadic. The evaluation is conducted based on Multiple-Input-Multiple-Output (MIMO) and Orthogonal Frequency Division Multiple Access (OFDMA) transmission multiplexing format in IEEE 802.11ax vs. the CSMA/CA MAC in IEEE 802.11ac in the Single User (SU) and MU modes for 1, 4, 8, 16, 32 and 64 stations scenario in reliable and unreliable channels. The comparison is conducted as a function of the Modulation and Coding Schemes (MCS) in use. In IEEE 802.11ax we consider two new flavors of acknowledgment operation settings, where the maximum acknowledgment windows are 64 or 256 respectively. In SU scenario the throughputs of IEEE 802.11ax are larger than those of IEEE 802.11ac by 64% and 85% in reliable and unreliable channels respectively. In MU-MIMO scenario the throughputs of IEEE 802.11ax are larger than those of IEEE 802.11ac by 263% and 270% in reliable and unreliable channels respectively. Also, as the number of stations increases, the advantage of IEEE 802.11ax in terms of the access delay also increases.展开更多
With the ever-increasing range of video and audio applications in portable handheld devices, demand for high throughput in Wi-Fi networks is escalating. In this paper we introduce several novel features defined in nex...With the ever-increasing range of video and audio applications in portable handheld devices, demand for high throughput in Wi-Fi networks is escalating. In this paper we introduce several novel features defined in next generation WLAN, termed as IEEE 802.11ax standard, and compare between the maximum throughputs received in IEEE 802.11ax and IEEE 802.11ac in a scenario where the AP continuously transmits to one station in the Single User mode. The comparison is done as a function of the modulation/coding schemes in use. In IEEE 802.11ax we consider two levels of frame aggregation. IEEE 802.11ax outperforms IEEE 802.11ac by about 29% and 48% in reliable and unreliable channels respectively.展开更多
The new IEEE 802.11ax standard is aimed to serve many users while enabling every station to transmit a consistent stream of data without interruption. In this paper we evaluate the upper bound on the throughput of a D...The new IEEE 802.11ax standard is aimed to serve many users while enabling every station to transmit a consistent stream of data without interruption. In this paper we evaluate the upper bound on the throughput of a Downlink IEEE 802.11ax channel using the Single User (SU) mode and using the Multi User Multiple-Input-Multiple-Output (MU-MIMO) and Orthogonal Frequency Division Multiple Access (OFDMA) mode. We compare between IEEE 802.11ax and IEEE 802.11ac for the case of 1, 4, 8, 16, 32 and 64 stations in different Modulation/Coding schemes (MCS) and different transmission windows’ sizes, 64 and 256 frames in IEEE 802.11ax. IEEE 802.11ax outperforms IEEE 802.11ac in the SU and MU modes by 52% and 74% in a reliable channel respectively, while in an unreliable channel the improvements are by 59% and 103% respectively. Also, in terms of the access delay, the advantage of IEEE 802.11ax increases as the number of stations increases.展开更多
文摘随着移动设备和无线应用爆炸式增长,蜂窝网络流量迅速增加,许可频段蜂窝网络容量难以满足用户日益增长的数据速率需求.WLAN(Wireless Local Area Network,无线局域网)与LTE(Long Term Evolution,长期演进)蜂窝异构网络中的数据卸载技术能有效缓解蜂窝无线访问的频谱资源紧缺问题.然而,现有LTE-WLAN数据卸载方案并未考虑密集部署问题,也未考虑基于IEEE 802.11ax协议的下一代高效WLAN针对密集部署提出的提速新技术所带来优势.本文利用下一代WLAN的多用户传输特性来缓解蜂窝的资源竞争,通过将部分蜂窝用户卸载到IEEE 802.11ax WLAN网络来保障蜂窝网络的单用户吞吐率.提出的卸载方案建立WLAN和LTE异构密集网络的吞吐率形式化表达式,根据网络系统容量查找蜂窝网络中的最优卸载数,以解决有限的蜂窝网络资源与海量高速业务需求的矛盾.仿真结果表明:在密集部署的异构网络中,所提的方案在保证WLAN用户服务质量的同时,最大限度地提高了LTE网络单用户吞吐率,提升了LTE网络的用户体验.
文摘IEEE 802.11ax系统中站点(Station,STA)数量众多和潜在的高数据包冲突率导致无线局域网通信效率显著降低,本文针对上行多用户传输中的无效帧填充问题,以每轮传输中用户组的传输延迟为优化目标,提出一种多用户调度和资源分配算法。基于OFDMA上行调度接入中动态传输时间的帧交互方案,接入点(Access Point,AP)结合STA提供的信道状态信息(Channel State Information,CSI)和缓冲区状态报告(Buffer State Report,BSR)信息来确定各站点的传输延迟;针对最小化组内用户传输延迟差的优化问题,设计传输机会(Transmit Opportunity,TXOP)时长内用户分组策略及资源块(Resource Unit,RU)-STA匹配方案;进而以最大化信道利用率为目标,确定各站点的发射功率,同时保障每组用户的传输速率。与参考调度策略对比,本文提出的调度和资源分配算法在连续多帧传输的信道利用率上有10%~15%的提升,同时也保证了用户间传输速率的稳定性。
文摘IEEE 802.11ax,which is an emerging WLAN standard,aims at providing highly efficient communication in ultra-dense wireless networks.However,due to a large number of stations(STAs)in the ultra-dense device deployment scenarios,the potentially high packet collision rate significantly decreases the communication efficiency of WLAN.In this paper,we propose an adaptive STA grouping scheme to overcome this dense network challenge in IEEE 802.11ax by using Buffer State Report(BSR)based Two-stage Mechanism(BTM).In order to achieve the optimal efficiency of BSR delivery,we analyze the functional relationship between STA number in group and Resource Unit(RU)efficiency.Based on this analysis results,an adaptive STA grouping algorithm with variable group size is proposed to achieve efficient grouping in BTM.The numerical results demonstrate that the proposed adaptive BTM grouping algorithm significantly improves the BSR delivery efficiency and the throughput of overall system and each STA in the ultra-dense wireless network.
文摘The new IEEE 802.11 standard, IEEE 802.11ax, has the challenging goal of serving more Uplink (UL) traffic and users as compared with his predecessor IEEE 802.11ac, enabling consistent and reliable streams of data (average throughput) per station. In this paper we explore several new IEEE 802.11ax UL scheduling mechanisms and compare between the maximum throughputs of unidirectional UDP Multi Users (MU) triadic. The evaluation is conducted based on Multiple-Input-Multiple-Output (MIMO) and Orthogonal Frequency Division Multiple Access (OFDMA) transmission multiplexing format in IEEE 802.11ax vs. the CSMA/CA MAC in IEEE 802.11ac in the Single User (SU) and MU modes for 1, 4, 8, 16, 32 and 64 stations scenario in reliable and unreliable channels. The comparison is conducted as a function of the Modulation and Coding Schemes (MCS) in use. In IEEE 802.11ax we consider two new flavors of acknowledgment operation settings, where the maximum acknowledgment windows are 64 or 256 respectively. In SU scenario the throughputs of IEEE 802.11ax are larger than those of IEEE 802.11ac by 64% and 85% in reliable and unreliable channels respectively. In MU-MIMO scenario the throughputs of IEEE 802.11ax are larger than those of IEEE 802.11ac by 263% and 270% in reliable and unreliable channels respectively. Also, as the number of stations increases, the advantage of IEEE 802.11ax in terms of the access delay also increases.
文摘With the ever-increasing range of video and audio applications in portable handheld devices, demand for high throughput in Wi-Fi networks is escalating. In this paper we introduce several novel features defined in next generation WLAN, termed as IEEE 802.11ax standard, and compare between the maximum throughputs received in IEEE 802.11ax and IEEE 802.11ac in a scenario where the AP continuously transmits to one station in the Single User mode. The comparison is done as a function of the modulation/coding schemes in use. In IEEE 802.11ax we consider two levels of frame aggregation. IEEE 802.11ax outperforms IEEE 802.11ac by about 29% and 48% in reliable and unreliable channels respectively.
文摘The new IEEE 802.11ax standard is aimed to serve many users while enabling every station to transmit a consistent stream of data without interruption. In this paper we evaluate the upper bound on the throughput of a Downlink IEEE 802.11ax channel using the Single User (SU) mode and using the Multi User Multiple-Input-Multiple-Output (MU-MIMO) and Orthogonal Frequency Division Multiple Access (OFDMA) mode. We compare between IEEE 802.11ax and IEEE 802.11ac for the case of 1, 4, 8, 16, 32 and 64 stations in different Modulation/Coding schemes (MCS) and different transmission windows’ sizes, 64 and 256 frames in IEEE 802.11ax. IEEE 802.11ax outperforms IEEE 802.11ac in the SU and MU modes by 52% and 74% in a reliable channel respectively, while in an unreliable channel the improvements are by 59% and 103% respectively. Also, in terms of the access delay, the advantage of IEEE 802.11ax increases as the number of stations increases.