In this paper, Moose scheme is used for frequency offset estimation in OFDMA uplink svstems due to that the signals from different users can be easily distinguished in frequency domain. However, differential multiple ...In this paper, Moose scheme is used for frequency offset estimation in OFDMA uplink svstems due to that the signals from different users can be easily distinguished in frequency domain. However, differential multiple access interference （MAI） will deteriorate the frequency offset estimation performances, especially in interleaved OFDMA system. Analysis and simulation results manifest that frequency offset estimation by Moose scheme in block OFDMA system is more robust than that in interleaved OFDMA systern. And an iterative interference cancellation method has been proposed to suppress the differential MAI interference for interleaved OFDMA system, in which Moose scheme is the special case of the number of iteration is equal to one. Simulation results demonstrate that the proposed method can improve the performance with the increase of the number of iterations. In consideration of the performance and complexity, the proposed method with two iterations is selected. And the full comparison results of the proposed iterative method with two iterations and that with one iteration （conventional Moose scheme） are given in the paper, which sufficiently demonstrate that the performance gain can be obtained by the interference cancellation operation in interleaved OFDMA system.展开更多
A carrier frequency offset （CFO） estimator was developed based on an interference cancellation scheme for an orthogonal frequency division multiplex access uplink. An initial CFO estimate was first ob- tained based ...A carrier frequency offset （CFO） estimator was developed based on an interference cancellation scheme for an orthogonal frequency division multiplex access uplink. An initial CFO estimate was first ob- tained based on the received training signals at each user＇s prescribed subcarder positions. Then, the re- ceived training signals were compensated by using the initial CFO estimates in the frequency domain and the multi-user interferences were estimated. Finally, the interference-cancelled training signals were used to reliably estimate each user＇s CFO. The CFO estimator performance was evaluated by the bit error rate per- formances of the CFO compensation-based receivers at the base station. Simulations show that with this optima CFO compensation receiver, the performance gain with the esti- mated CFO values is approximately 3 dB better at the 0.1% bit error rate than the initial CFO estimates.展开更多
In this paper, we propose a novel uplink power control algorithm, SMST, for multiple-input multiple-output orthogonal frequency-division multiple access （MIMQ-OFDMA）.We perform an extensive system-level simulation t...In this paper, we propose a novel uplink power control algorithm, SMST, for multiple-input multiple-output orthogonal frequency-division multiple access （MIMQ-OFDMA）.We perform an extensive system-level simulation to compare different uplink power control algorithms, including the FPC adopted in 3GPP LTE and LTE-Advanced. Simulations show that SMST adopted in IEEE 802.16m outperforms other algorithms in terms of spectral efficiency, cell-edge performance, interference control, and trade-off control between sector-accumulated throughput and cell-edge user throughput. The SMST performance gain over FPC can be more than 40%展开更多
为了获得任意载波分配正交频分复用多址(OFDMA)系统上行链路更优的频率偏移(CFOs)和定时误差(TEs)联合估计性能,利用恒包络零自相关(Constant Amplitude Zero Auto Correlation;CAZAC)序列和增加训练块数对已有的联合估计算法进行改进....为了获得任意载波分配正交频分复用多址(OFDMA)系统上行链路更优的频率偏移(CFOs)和定时误差(TEs)联合估计性能,利用恒包络零自相关(Constant Amplitude Zero Auto Correlation;CAZAC)序列和增加训练块数对已有的联合估计算法进行改进.虽然传输效率降低,但是估计性能有所提高,这种牺牲是值得的.仿真结果表明,这种改进算法估计性能更好,应用范围更为广泛.展开更多
传统的无线局域网(wireless local area network,WLAN)标准IEEE 802.11采用载波侦听/冲突避免机制,允许单个用户竞争信道接入。而即将到来的下一代WLAN标准IEEE 802.11ax,将正交频分多址(orthogonal frequency division multiple access...传统的无线局域网(wireless local area network,WLAN)标准IEEE 802.11采用载波侦听/冲突避免机制,允许单个用户竞争信道接入。而即将到来的下一代WLAN标准IEEE 802.11ax,将正交频分多址(orthogonal frequency division multiple access,OFDMA)技术和随机接入相结合,在上行传输中可以采用上行OFDMA随机接入(uplink OFDMA random access,UORA)技术,允许多个用户同时随机接入信道传输数据,因此提高了网络的资源利用率。虽然IEEE 802.11ax中的UORA技术具有信令开销小的优点,但是当用户数较多的时候,随机接入的冲突增加会导致网络吞吐量下降。因此,提出一种分组UORA的接入方法,无线接入点(access point,AP)作为中心调度节点对用户和资源进行分组,为不同组的用户和资源设置不同的标签,用户只能随机接入具有相同标签的资源。通过建立数学模型和仿真的方法,验证了分组UORA方法的有效性。分组UORA方法的网络吞吐量较IEEE 802.11ax中的原始UORA有所提升,因此具有一定的实际意义。展开更多
In this paper,a distributed interference suppression scheme is proposed for multi-cell uplink orthogonal frequency division multiple access（OFDMA） system.Firstly,we model resource allocation process as a non-coopera...In this paper,a distributed interference suppression scheme is proposed for multi-cell uplink orthogonal frequency division multiple access（OFDMA） system.Firstly,we model resource allocation process as a non-cooperative game.Then we show the concept of Nash equilibrium（NE） and investigate its existence and uniqueness in detail.To enhance the performance of multi-cell OFDMA system,the further improvement process based on NE is given.Several adjustable parameters are set to make the system achieve different tradeoffs between the total capacity and complexity.Simulation results show that the proposed scheme can greatly improve the system performance comparing with conventional scheme.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
文摘In this paper, Moose scheme is used for frequency offset estimation in OFDMA uplink svstems due to that the signals from different users can be easily distinguished in frequency domain. However, differential multiple access interference （MAI） will deteriorate the frequency offset estimation performances, especially in interleaved OFDMA system. Analysis and simulation results manifest that frequency offset estimation by Moose scheme in block OFDMA system is more robust than that in interleaved OFDMA systern. And an iterative interference cancellation method has been proposed to suppress the differential MAI interference for interleaved OFDMA system, in which Moose scheme is the special case of the number of iteration is equal to one. Simulation results demonstrate that the proposed method can improve the performance with the increase of the number of iterations. In consideration of the performance and complexity, the proposed method with two iterations is selected. And the full comparison results of the proposed iterative method with two iterations and that with one iteration （conventional Moose scheme） are given in the paper, which sufficiently demonstrate that the performance gain can be obtained by the interference cancellation operation in interleaved OFDMA system.
基金Supported by the National Key Basic Research and Development (973) Program of China (No. 2007CB310601)
文摘A carrier frequency offset （CFO） estimator was developed based on an interference cancellation scheme for an orthogonal frequency division multiplex access uplink. An initial CFO estimate was first ob- tained based on the received training signals at each user＇s prescribed subcarder positions. Then, the re- ceived training signals were compensated by using the initial CFO estimates in the frequency domain and the multi-user interferences were estimated. Finally, the interference-cancelled training signals were used to reliably estimate each user＇s CFO. The CFO estimator performance was evaluated by the bit error rate per- formances of the CFO compensation-based receivers at the base station. Simulations show that with this optima CFO compensation receiver, the performance gain with the esti- mated CFO values is approximately 3 dB better at the 0.1% bit error rate than the initial CFO estimates.
文摘In this paper, we propose a novel uplink power control algorithm, SMST, for multiple-input multiple-output orthogonal frequency-division multiple access （MIMQ-OFDMA）.We perform an extensive system-level simulation to compare different uplink power control algorithms, including the FPC adopted in 3GPP LTE and LTE-Advanced. Simulations show that SMST adopted in IEEE 802.16m outperforms other algorithms in terms of spectral efficiency, cell-edge performance, interference control, and trade-off control between sector-accumulated throughput and cell-edge user throughput. The SMST performance gain over FPC can be more than 40%
文摘为了获得任意载波分配正交频分复用多址(OFDMA)系统上行链路更优的频率偏移(CFOs)和定时误差(TEs)联合估计性能,利用恒包络零自相关(Constant Amplitude Zero Auto Correlation;CAZAC)序列和增加训练块数对已有的联合估计算法进行改进.虽然传输效率降低,但是估计性能有所提高,这种牺牲是值得的.仿真结果表明,这种改进算法估计性能更好,应用范围更为广泛.
文摘传统的无线局域网(wireless local area network,WLAN)标准IEEE 802.11采用载波侦听/冲突避免机制,允许单个用户竞争信道接入。而即将到来的下一代WLAN标准IEEE 802.11ax,将正交频分多址(orthogonal frequency division multiple access,OFDMA)技术和随机接入相结合,在上行传输中可以采用上行OFDMA随机接入(uplink OFDMA random access,UORA)技术,允许多个用户同时随机接入信道传输数据,因此提高了网络的资源利用率。虽然IEEE 802.11ax中的UORA技术具有信令开销小的优点,但是当用户数较多的时候,随机接入的冲突增加会导致网络吞吐量下降。因此,提出一种分组UORA的接入方法,无线接入点(access point,AP)作为中心调度节点对用户和资源进行分组,为不同组的用户和资源设置不同的标签,用户只能随机接入具有相同标签的资源。通过建立数学模型和仿真的方法,验证了分组UORA方法的有效性。分组UORA方法的网络吞吐量较IEEE 802.11ax中的原始UORA有所提升,因此具有一定的实际意义。
基金supported by the Sino-Swedish IMT-Advanced Cooperation Project (2008DFA11780)the Canada-China Scientific and Technological Cooperation (2010DFA11320)+2 种基金the National Natural Science Foundation of China (60802033, 60873190)the Hi-Tech Research and Development Program of China (2008AA01Z211)the Fundamental Research Funds for the Central Universities (2009RC0308)
文摘In this paper,a distributed interference suppression scheme is proposed for multi-cell uplink orthogonal frequency division multiple access（OFDMA） system.Firstly,we model resource allocation process as a non-cooperative game.Then we show the concept of Nash equilibrium（NE） and investigate its existence and uniqueness in detail.To enhance the performance of multi-cell OFDMA system,the further improvement process based on NE is given.Several adjustable parameters are set to make the system achieve different tradeoffs between the total capacity and complexity.Simulation results show that the proposed scheme can greatly improve the system performance comparing with conventional scheme.
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.
