The MIMO Test Bed


Introduction

Multiple-input  multiple-output  (MIMO)  systems  are  a  research  breakthrough  that  has  revolutionized  the communication  industry.  By  making  use  of  multiple  transmit  and  receive  antennas,  MIMO  systems  not  only provide robustness against multipath  fading  impairments but also promise  significant  increase  in  the  throughput rates over frequency selective channels. Orthogonal Frequency Division Multiplexing (OFDM) on the other hand, is a modulation  scheme  that  converts  a  wideband  channel  into  parallel  narrowband  channels  allowing  relatively simple channel estimation and  frequency domain equalization. By combining MIMO  technology with OFDM,  it  is possible  to  build  high  data  rate  communication  systems with  reasonable  receiver  complexity.  Because  of  these advantages MIMO-OFDM combination has emerged as a dominant physical layer technology. MIMO-OFDM based physical  layers  are being  considered  for  various wireless  systems  like  IEEE 802.11n  (WLANs),  IEEE 802.16e-2005 (WiMAX) and 3rd Generation Partnership Project’s (3GGP) Long Term Evolution (LTE).


 

Scope

Real-time MIMO-OFDM testbed is a research initiative of the Iqra University sponsored by ICT R&D Fund.  The aim is to develop a testbed that can help in the design, analysis and rapid prototyping of future MIMO-OFDM systems. With all their advantages MIMO-OFDM systems, when compared with its single antenna counterparts, are not only more sensitive to channel estimation and synchronization errors but also require a lot more computational power and  implementation  effort. MIMO  systems  demand  perfect  estimate  of  the  channel matrix  at  the  receiver  to successfully  decode  the  received  signal.  Channel  estimation  is  a  challenging  task  because  in  MIMO  systems different signals are transmitted from transmit antennas and received signal at each antenna is the superposition of all the transmitted signals. Sensitivity to synchronization errors comes from the fact that a MIMO-OFDM system requires  simultaneous  transmission  and  reception  of  parallel  spatial  signal  streams  from  its  antennas.  A  slight misalignment  caused  by  a  timing  synchronization  error  can  lead  to  serious  degradation  in  the  performance. Optimum  Maximum  Likelihood  (ML)  MIMO  decoder  can  become  almost  impossible  to  implement  when constellation size and number of antennas approaches a certain threshold. There has been a significant research to resolve these issues over the  last few years and various solutions have been proposed but practical MIMO-OFDM system design still pose a challenge for communication system designers.





Goal of the MIMO-OFDM Testbed
 
Real  time MIMO-OFDM  testbed development work at  IQRA University  is  focused on achieving  the  following  two key objectives.
 
  1. 1. To  resolve MIMO-OFDM  system  design  related  issues  by  designing  simple,  robust  and  computationally efficient algorithms for synchronization, channel estimation and MIMO detection etc. The main emphasis will be on reducing the computational complexity of MIMO detection algorithms so that more number of antennas, at both Tx and Rx ends, can be supported with dense constellations like 64 QAM.

  1. 2. To develop a  cost-effective MIMO-OFDM  testbed platform  that  can  facilitate  researchers/developers  in the design, analysis and  rapid prototyping of MIMO communication  systems  like WLANs, WiMAX etc  in real-time.




MIMO-OFDM Testbed Development
 
The overall development of MIMO-OFDM testbed will be completed  in two phases.  In the first phase a  low-scale 2x2 MIMO-OFDM prototype for the indoor environment will be developed. Prototype hardware will consist of a PC and a transceiver board carrying an analogue  front end (AFE), high speed analogue and digital converters (ADCs) and  digital  to  analogue  converters  (DACs),  and  a  digital  down-converter  (DDC). A USB  interface will  be  used  to communicate between  transceiver  card  and  the host PC where  all  the  signal processing will be performed.  The main  focus  of  this  low-scale  prototype  phase  is  to  optimize  the  design  and  development  of  algorithms  by minimizing  the  implementation  effort.  The  outcome  of  this  phase will  be  a  real-time  but  low-scale  2x2 MIMO-OFDM prototype for the indoor environment that will be able to process a bandwidth of approximately 1 MHz. As a  reference design a  scale down version of  IEEE 802.11n WLAN  standard will be  implemented on  the prototype hardware. The design will be tested and verified in simulation using the channel models recommended by the IEEE 802.11 task group.   

In the 2nd phase a full-scale real-time 4x4 MIMO-OFDM testbed that could be able to process a bandwidth up to 20 MHZ will be developed.  The  hardware will  consist of  an AFE, high  speed ADC  and DCAs, DDCs  and  a baseband processing board that will carry a combination of high speed DSPs and FPGAs. Testbed hardware will be configured and controlled from a host PC where a part of signal processing will also be performed. A high speed interface like Gigabit  interface or PCI Express will be used  for data transfer between platform hardware and host PC. Full-scale testbed  shall  enable  real-time development of MIMO-OFDM  communication  system  like  IEEE 802.11n  (WLANs), IEEE 802.16e-2005 (WiMAX) and 3GGP’s Long Term Evolution (LTE). 

A  tentative  specifications/capabilities  list  for  the  both  tested  platforms  is  provided  in  the  table  1  below.  These specifications are subject to change as new challenges can arise as along with the time. 


Table 1: Specifications/Capabilities of Test Bed 


Specification


Low-scale Prototype

Full-scale Testbed

Antennas (Tx × Rx)

2x2
4x4

Bandwidth

Upto 1 MHz
 
Upto 20 MHz

Processing Platform


GPP

FPGA+DSP+GPP

RF Frequency Band


Dual ISM  Band (2.4 and 5.8 GHz)

Dual ISM  Band (2.4 and 5.8 GHz)

Data Interfaces


USB

Gigabit Ethernet/PCI Express

Air Interface


Dipole Antennas

Dipole Antennas

Operating 
Environment


Indoor

Outdoor (mobile channel)

Applications

 
WLAN, WiMAX, LTE etc
(Scale down versions)

 
WLAN, WiMAX, LTE, Cognitive Radio,
Co-operative MIMO etc.