A Technique for Multi-User MIMO using Spatial Channel Model for out-door environments
Any wireless communication system needs to specify a propagation channel model which acts as basis for performance evaluation and comparison. Spatial channel models can be divided into deterministic i.e ray tracing, measurement based which is based on channel information and geometry based stochastic channel models which are based on assumption that directional structure of channel can be modelled by last interaction between physical objects and electromagnetic waves, before waves reach the base or mobile station. Multi user double directional channel model (MDDCM) is a geometry based channel model which is used to calculate the double directional channel information in cellular system with MIMO mobile station and MIMO base station. In this research phase firstly, Multi User Multiple Input Multiple Output (MU-MIMO) spatial channel model has been implemented for different outdoor environments Urban Micro and Urban Macro using MATLAB for finding various parameters like angle of arrival of the user, user direction and the distance between user and access point (AP). Secondly coded (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) MIMO-OFDM system has been implemented using multipath Rayleigh faded channel and realistic Spatial Channel Model. Different BER improvement techniques are used such as, Viterbi-decoder, Time and Frequency inter-leaving. Multi-channel diversity is also observed by using multiple antennas at transmitting and receiving end [(2x2) and (2x4)] on both the channels. Effect of different modulation techniques on BER performance is also observed.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
User Subgrouping and Power Control for Multicast Massive MIMO over Spatially Correlated Channels
Massive multiple-input-multiple-output (MIMO) is unquestionably a key enabler of the fifth-generation (5G) technology for mobile systems, enabling to meet the high requirements of upcoming mobile broadband services. Phys…
FairnessDegrees of Freedom of Holographic MIMO in Multi-user Near-field Channels
Holographic multiple-input multiple-output (HMIMO) is an emerging technology for 6G communications, in which numerous antenna units are integrated in a limited space. As the HMIMO array aperture expands, the near-field r…
BlockingChannel Estimation in MIMO Systems with One-bit Spatial Sigma-delta ADCs
This paper focuses on channel estimation in single-user and multi-user MIMO systems with multi-antenna base stations equipped with 1-bit spatial sigma-delta analog-to-digital converters (ADCs). A careful selection of the…
QuantizationUser Subgrouping in Multicast Massive MIMO over Spatially Correlated Rayleigh Fading Channels
Massive multiple-input-multiple-output (MaMIMO) multicasting has received significant attention over the last years. MaMIMO is a key enabler of 5G systems to achieve the extremely demanding data rates of upcoming service…
FairnessBeyond Idle Channels: Unlocking Idle Space with Signal Alignment in Massive MIMO Cognitive Radio Networks
Cognitive radio networks (CRNs) have traditionally focused on utilizing idle channels to enhance spectrum efficiency. However, as wireless networks grow denser, channel-centric strategies face increasing limitations. Thi…