EDA Software and Wireless Library Helps MIMO/WiMAX Designers Meet Performance Specifications
EDA software and the Mobile WiMAX Wireless Library help MIMO/WiMAX designers meet performance specifications.
By Jinbiao Xu and Afshin Amini, Agilent EEsof
The IEEE 802.16e-2005 Wireless Metropolitan Area Network (MAN) orthogonal frequency
division multiple access (OFDMA) mode (mobile WiMAX) is based on the
click to enlarge
Figure 1. A mobile WiMAX MIMO transceiver in ADS. |
concept of scalable OFDMA (S-OFDMA). S-OFDMA supports a wide range of bandwidth
set to flexibly address the need for various spectrum allocation and usage model
requirements.
Moreover, the Mobile WiMAX specification defines multiple-input multiple-output
(MIMO) option, which is a key feature in mobile WiMAX. Smart antenna technologies
typically involve complex vector or matrix operations on signals due to multiple
antennas. OFDMA allows smart antenna operations to be performed on vector-flat
sub-carriers. Complex equalizers are not required to compensate for frequency
selective fading. OFDMA therefore, is very well suited to support smart antenna
technologies. In fact, MIMO-OFDM/OFDMA is envisioned as the foundation for next-generation
broadband communication systems (such as 802.20, 3G LTE).
The Agilent EEsof 802.16e Mobile WiMax Wireless Library has the added capability
for multi-antenna simulation, enabling designers to explore the effect of MIMO
integration into their WiMax systems. The mobile WiMAX OFDMA PHY supports a frame-based
transmission which includes Downlink (DL) and Uplink (UL) subframe. The mobile
WiMAX MIMO transmitter and receiver in Agilent’s Advanced Design System
(ADS) are shown in Figure 1.
In the mobile WiMAX MIMO downlink subframe, the first two parts are preamble and
a mandatory partial usage of subchannels (PUSC) zone, which transmits some control
messages (such as FCH, DL-MAP and UL-MAP). The zone after the PUSC zone is the
STC (SM) zone, whose permutation mode may be PUSC, FUSC or
click to enlarge
Figure 2. Simulation results from the mobile WiMAX MIMO Wireless Library. Simulation condition: DL PUSC, FCarrier = 2305 MHz, BW=10 MHz, FFT=1024, CP=1/8 PacketLength=100 bytes, Pedestrian B, Velocity= 3Km/h, Transmit antenna correlation p=0.2. |
AMC. In this zone, transmit diversity (STC) or spatial multiplexing (SM) can be
implemented. To enhance channel estimation and tracking in the MIMO receiver,
a midamble (a training sequence) may be present at the first symbol in the STC
(SM) zone. The bit stream is distributed into the transmit antennas according
to the following transmission format matrix (assuming 2 transmit antennas).
Assuming the MIMO system is with M transmit antennas and N receiver antennas,
the STC zone is taken to perform FFT transformation, each received subcarrier
is as follows:
r=Hs + w
Where H is the M 3 N channel matrix, and s =[s1, s2, . . . . ,sm]T is the M-dimensional
transmit signal vector, w is the N- dimensional vector of zero-mean noise with
the variance of s2. The channel matrix H can be estimated by the pilots by the
Wiener filtering.
The MIMO decoder can be divided into linear and non-linear decoding techniques.
The simplest MIMO decoder is the zero-forcing (ZF) decoder, which inverts the
channel matrix:
sî = (H*H)-1 H*r = H+r
However, this ZF decoder introduces noise at lower SNRs (Signal-to-Noise Ratios).
A better decoder, MMSE (Minimum Mean Squared Error), is employed to minimize
the Mean Square Error:
Where r represents the SNR at each receive antenna, M is the number of transmit
antenna. In the Mobile WiMAX MIMO Wireless Library for use with ADS, both ZF and
MMSE were implemented.
The key features of the library include:
(1) Top-level downlink and uplink MIMO fully-coded signal sources (support Matrix
A and B), the detailed structure can be shown by pushing down into these top
level DL/UL sources. For the DL source, the STC with 2 transmit antennas and
SM with 2 transmit antennas were supported. For the UL source, the SM with 2
transmit antennas and collaborative SM with 2 transmit antennas were supported.
Table 1. The transmission format matrix. |
(2) Top-level downlink and uplink MIMO receiver, the detailed receiver structure
can be shown by pushing down into these top-level DL/UL receivers. These MIMO
receivers include time and frequency synchronization, channel estimation, soft
channel decoding corresponding to STC/MIMO transmitter. The 2 3 1 MISO and 2 32
MIMO are supported for both DL and UL receivers.
(3) ITU channel model and MIMO channel model is provided.
(4) Transmit measurement such as spectrum, constellation, EVM and power.
(5) Receiver measurements such as PER on MIMO channel, sensitivity measurement
and adjacent channel rejection measurement.
Designers of Mobile WiMAX systems face the challenges related to increasing
design complexity. At the same time, growth in the WiMAX market has led to the
presence of more companies in this space. There are certain parameters that
dictate the preference of one design over the others. The Mobile WiMAX Wireless
Library testbenches provide direct simulation of regulatory conformance and
performance versus various impairments to determine tradeoffs of a specific
design.
Figure 2 shows some simulation results after using the mobile WiMAX MIMO Wireless
Library for measurements like EVM versus subcarrier and constellation error
in the presence of transmitter DC Offset.
About the Authors
Jinbiao Xu is a technical lead with the Agilent EEsof EDA Beijing
team. He can be reached at jin-biao_xu@agilent.com. Afshin Amini is a product
marketing manager for Wireless Libraries in the Agilent Technologies EEsof EDA
division. He can be reached at: afshin_amini@agilent.com.
Agilent Technologies Inc. EEsof EDA 395 PageMIll Road Palo Alto, CA, 94303
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