以用户为中心的基站与波束自适应选择算法
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摘要
根据信道环境选择最优的微基站与波束时存在非自适应问题。为此,基于随机向量量化码本的限制反馈波束赋形技术,推导出最大化平均有效信噪比的表达式,提出以用户为中心的分布式毫米波蜂窝小区基站与波束的自适应选择算法。根据用户在蜂窝内的位置,以平均有效信噪比为代价函数,自适应地选择最优的微基站。仿真结果表明,在反馈比特数为6 bit以及信噪比大于12 dB的情况下,该算法的误码率和遍历容量性能都优于固定数目的微基站,能够获得2 dB～4 dB的信道增益。
Aiming at the non-adaptive problem of selecting the optimal Micro Base Stations( MBSs) and beam according to the channel environment,based on the limited feedback beamforming technique of the random vector quantization codebook,the expression of the maximum average Effective Signal-to-Noise Ratio( ESNR) is derived,and an Adaptive Base Station and Beam Selection( ABSBS) algorithm for user-centric distributed millimeter-wave cellular is proposed. According to the location of the user in the cellular,the optimal MBSs is adaptively selected with the average ESNR as the cost function. The simulation results show that,when the feedback bit number is 6 bit and the Signal-to Noise Ratio( SNR) is more than 12 dB,the error rate and ergodic capacity of the proposed algorithm are better than those of the fixed number of micro base stations,and the channel gain of 2 dB ～ 4 dB is obtained.
Aiming at the non-adaptive problem of selecting the optimal Micro Base Stations( MBSs) and beam according to the channel environment,based on the limited feedback beamforming technique of the random vector quantization codebook,the expression of the maximum average Effective Signal-to-Noise Ratio( ESNR) is derived,and an Adaptive Base Station and Beam Selection( ABSBS) algorithm for user-centric distributed millimeter-wave cellular is proposed. According to the location of the user in the cellular,the optimal MBSs is adaptively selected with the average ESNR as the cost function. The simulation results show that,when the feedback bit number is 6 bit and the Signal-to Noise Ratio( SNR) is more than 12 dB,the error rate and ergodic capacity of the proposed algorithm are better than those of the fixed number of micro base stations,and the channel gain of 2 dB ～ 4 dB is obtained.
引文
[1]卓业映,陈建民,王锐.5G移动通信发展趋势与若干关键技术[J].中国新通信,2015,17(8):13-14.
[2]尤肖虎,赵新胜.分布式无线电和蜂窝移动通信网络结构[J].电子学报,2004,32(1):16-21.
[3]SWINDLEHURST A L,AYANOGLU E,HEYDARI P,et al.M illimeter-w ave massive M IM O:the next w ireless revolution?[J].IEEE Communications M agazine,2014,52(9):56-62.
[4]BOCCARDI F,HEATH R W,LOZANO A,et al.Five disruptive technology directions for 5G[J].IEEECommunications M agazine,2014,52(2):74-80.
[5]ROH W,SEOL J,PARK J,et al.Millimeter-wave beamforming as an enabling technology for 5G cellular communications:theoretical feasibility and prototype results[J].IEEE Communications M agazine,2014,52(2):106-113.
[6]RUSEK F,PERSSON D,KIONG B,et al.Scaling up M IM O[J].IEEE Signal Processing M agazine,2013,30(1):40-60.
[7]ABOU-ZEID H,HASSANEIN H S.Predictive green w ireless access:exploiting mobility and application information[J].IEEE Wireless Communications,2014,20(5):92-99.
[8]SU D,YANG C.User-centric downlink cooperative transmission w ith orthogonal beamforming based limited feedback[J].IEEE Transactions on Communications,2015,63(8):2996-3007.
[9]沈悦,刘占军,武汉,等.支持D2D通信的蜂窝网自适应资源分配算法[J].计算机工程,2018,44(2):107-113.
[10]LOVE D J,HEATH R W,LAU V K N,et al.An overview of limited feedback in w ireless communication systems[J].IEEE Journal on Selected Areas in Communications,2008,26:1341-1365.
[11]SANTIPACH W,HONIG M L.Asymptotic performance of M IM O w ireless channels w ith limited feedback[C]//Proceedings of 2003 IEEE Conference on M ilitary Communications.Washington D.C.,USA:IEEE Press,2003:141-146.
[12]AKDENIZ M R,LIU Y,SAMIMI M K,et al.Millimeter wave channel modeling and cellular capacity evaluation[J].IEEE Journal on Selected Areas in Communications,2014,32(6):1164-1179.
[13]LOVE D J,HEATH R W,STROHMER T.Grassmannian beamforming for multiple-input multiple-output wireless systems[J].IEEE Transactions on Information Theory,2003,49(10):2735-2747.
[14]AU-YEUNG C K,LOVE D J.On the performance of random vector quantization limited feedback beamforming in a MISOsystem[J].IEEE Transactions on Wireless Communications,2007,6(2):458-462.
[15]JINDAL N.MIMO broadcast channels with finite-rate feedback[J].IEEE Transactions on Information Theory,2006,52(11):5045-5060.
[2]尤肖虎,赵新胜.分布式无线电和蜂窝移动通信网络结构[J].电子学报,2004,32(1):16-21.
[3]SWINDLEHURST A L,AYANOGLU E,HEYDARI P,et al.M illimeter-w ave massive M IM O:the next w ireless revolution?[J].IEEE Communications M agazine,2014,52(9):56-62.
[4]BOCCARDI F,HEATH R W,LOZANO A,et al.Five disruptive technology directions for 5G[J].IEEECommunications M agazine,2014,52(2):74-80.
[5]ROH W,SEOL J,PARK J,et al.Millimeter-wave beamforming as an enabling technology for 5G cellular communications:theoretical feasibility and prototype results[J].IEEE Communications M agazine,2014,52(2):106-113.
[6]RUSEK F,PERSSON D,KIONG B,et al.Scaling up M IM O[J].IEEE Signal Processing M agazine,2013,30(1):40-60.
[7]ABOU-ZEID H,HASSANEIN H S.Predictive green w ireless access:exploiting mobility and application information[J].IEEE Wireless Communications,2014,20(5):92-99.
[8]SU D,YANG C.User-centric downlink cooperative transmission w ith orthogonal beamforming based limited feedback[J].IEEE Transactions on Communications,2015,63(8):2996-3007.
[9]沈悦,刘占军,武汉,等.支持D2D通信的蜂窝网自适应资源分配算法[J].计算机工程,2018,44(2):107-113.
[10]LOVE D J,HEATH R W,LAU V K N,et al.An overview of limited feedback in w ireless communication systems[J].IEEE Journal on Selected Areas in Communications,2008,26:1341-1365.
[11]SANTIPACH W,HONIG M L.Asymptotic performance of M IM O w ireless channels w ith limited feedback[C]//Proceedings of 2003 IEEE Conference on M ilitary Communications.Washington D.C.,USA:IEEE Press,2003:141-146.
[12]AKDENIZ M R,LIU Y,SAMIMI M K,et al.Millimeter wave channel modeling and cellular capacity evaluation[J].IEEE Journal on Selected Areas in Communications,2014,32(6):1164-1179.
[13]LOVE D J,HEATH R W,STROHMER T.Grassmannian beamforming for multiple-input multiple-output wireless systems[J].IEEE Transactions on Information Theory,2003,49(10):2735-2747.
[14]AU-YEUNG C K,LOVE D J.On the performance of random vector quantization limited feedback beamforming in a MISOsystem[J].IEEE Transactions on Wireless Communications,2007,6(2):458-462.
[15]JINDAL N.MIMO broadcast channels with finite-rate feedback[J].IEEE Transactions on Information Theory,2006,52(11):5045-5060.