Coverage Performance in MIMO-ZFBF Dense HetNets with Multiplexing and LOS/NLOS Path-Loss Attenuation

The performance of multiple-input multiple-output (MIMO) multiplexing heterogenous cellular networks are often analyzed using a single-exponent path-loss model. Thus, the effect of the expected line-of-sight (LOS) propagation in densified settings is unaccounted for, leading to inaccurate performance evaluation and/or inefficient system design. This is due to the complexity of LOS/non-LOS models in the context of MIMO communications. We address this issue by developing an analytical framework based on stochastic geometry to evaluate the coverage performance. We focus on the zero-forcing beamforming where the maximum signal-to-interference ratio is used for cell association. We analytically derive the coverage. We then investigate the cross-stream interference correlation, and develop two approximations of the coverage: Alzer Approximation (A-A) and Gamma Approximation (G-A). The former is often used in the single antenna and single-stream MIMO. We extend A-A to a MIMO multiplexing system and evaluate its utility. We show that the inverse interference is well-fitted by a Gamma random variable, where its parameters are directly related to the system parameters. The accuracy and robustness of G-A is higher than that of A-A. We observe that depending on the multiplexing gain, it is possible to attain the best coverage probability by proper densification

セルラーシステムにおける周波数利用とエネルギー利用効率改善に関する研究

早大学位記番号:新7583早稲田大

Distributed Massive MIMO in Millimetre Wave Communication

This thesis considers a distributed massive MIMO (D-MaMIMO) system for millimetre wave (mmWave) communication for an outdoor coverage area, as the wavelength of mmWave makes it easier and the free space path loss necessitates the use of relatively large distributed antenna arrays. We assume that the line-of-sight (LoS) links are available between the access points (APs) and user equipment (UEs). We have examined different AP arrangements to serve a given square area using the beamforming (BF) for a single user case. Furthermore, the zero-forcing (ZF) pre-coding is applied at a central processing unit (CPU) on the downlink to separate multiple users. We focus on these multi-user scenarios with varying numbers of APs to demonstrate the extent to which closely spaced users can be separated by ZF processing. We examine the determinant of the effective composite channel matrix to demonstrate the conditions under which the ZF problem may become ill-conditioned. We then show that nearly perfect separation is attainable, even when the UEs are only a few metres apart. Subsequently, an eigenvalue decomposition (EVD) based ZF is proposed to improve the performance of multi-antenna UEs. It has been observed that 3DBF has limited scope in circumstances when users are distributed horizontally, near to the same height as the APs and it is advantageous to employ non-square AP antenna arrays to maximize azimuth separation, especially for multi-user environments. The throughput per UE indicates how many users could be served effectively using the aforementioned schemes and AP arrangements for these multi-user cases. We further explore the significant issue of multipath propagation characteristics for mmWave communication and propose the novel distinction between the effective and the environmental K-factor for Ricean channels. A closed-form approximation for the effective K-factor is derived and corroborated by comparison with numerical results

Un-coordinated multi-user and inter-cell interference alignment based on partial and outdated information for large cellular networks

The cellular networks have gone through rapid evolution during the past decade. However, their performance is still limited due to the problem of interference. Therefore, interference management in current and future cellular networks is still an ongoing research topic. Interference Alignment is one of the techniques to manage the interference efficiently by using "align" and "suppression" strategy. In the first part of this thesis we focus on Coordinated inter cell interference alignment in a large cellular network. We assess the performance of interference alignment based transmit precoding under specific receiver strategies and coordination scenarios by comparing with different state of the art precoding schemes. We continue our assessment by considering imperfect channel state information at the transmitter. The results show that the gains of coordinated alignment based transmission are very sensitive to the receiver strategies and imperfections as compared to the other precoding schemes. However, in case of the availability of good channel conditions with very slow moving users, coordinated interference alignment outperforms the other baselines even with imperfect channel state information. In addition to that, we propose efficient user selection methods to enhance the performance of coordinated alignment. The results of our assessment draws important conclusions about the application of coordinated interference alignment in practical systems. In the second part of the thesis we consider a cellular system where each cell is serving multiple users simultaneously using the same radio resource. In this scenario, we have to manage not only the inter cell interference but also the multi user interference. For this purpose, we propose a novel Uncoordinated transmit precoding scheme for multi user cellular networks which is based on the alignment of multi user interference with partial and outdated inter cell interference. We show analytically that our scheme approaches the performance optimal transmission scheme. With the help of simulations we show that our proposal outperforms the state of the art non-alignment based multi user transmit precoding schemes We further propose user selection methods which exploit the diversity gains and improve the system spectral efficiency. In order to assess the feasibility of our proposal in a real system, we evaluate our scheme with practical constraints like imperfect information at the transmitter and limited feedback in uplink channel. For the proof of concept we also evaluate the performance of our scheme with measured channels using a software defined measurement platform. Finally, we also assess the application of our proposal in future heterogeneous networks. The outcome of our efforts states that as an interference alignment based transmission scheme, our scheme is a good candidate to manage the two dimensional interference in multi user cellular networks. It outperforms the non-alignment baselines in many scenarios even with practical constraints