To learn the MIMO OFDM system model and to overcome from the drawback of this system the future work on 4G and 5G scope.

1. MIMO OFDM IN CELLULAR SYSTEM
131011,131039
B.Tech (ICT) Semester-V,
IET-Ahmedabad University
Under the guidance of
Dr. Dhaval Patel
October 17, 2015
Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems

2. Outline
Background
Motivation
System Model
System Model
Specification and Assumption
Specification and Assumption
Result Interpretation
EEOPA and APA algorithm energy efficiency comparison
EEOPA and APA algorithm capacity comparison
Further work
Conclusion
Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems

3. Background
In MIMO wireless channel there are some model proposed:
Energy efficiency model in Posisson Voronol tessellation
cellular network
A relay cooperation scheme
Relay aided multi cell MIMO cellular system
Multiuser cellular virtual MIMO system with decode and
forward type protocol
To overcome from above mention models trade off EEOPA
method is proposed.
To improve spectral efficiency and system capacity without
increasing the bandwidth MIMO technology create the
independent parallel channels to transmit the data stream.
And OFDM technology will convert the frequency-selective
channels into flat channel.
Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems

4. Motivation
To reduce the scarcity of energy resources in industries,
current technology is motivated to improve the energy
efficiency in mobile multimedia communication system.
Like in, ICT industry over load of energy consumption make
burden for network engineers by high electrical bills.
This algorithm is focused on: The energy efficiency
optimization under given QoS constraints
Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems

5. System Model
- System Model
Figure : OFDM System Model
Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems

6. System Model
- Specification and Asumption
The MIMO-OFDM mobile multimedia communication system:
yk[i] = Hk[i]xk[i] + n
Where, Hk = Channel Matrix of Mr × Mt
Assume Discrete-Time Block Fading Channels
Hk = Uk
√
k(Vk)H
Taking, Mr ≥ Mt
yk[i] = CMr (Received Symbol of kth subcarrier of ith OFDM
symbol)
where, (k ∈ [1, N] and i ∈ [1, S])
xk[i] = CMt (Transmitted symbol of kth subcarrier of ith
OFDM symbol)
n = CMr (Additive noise vector)
Assume E(nnH) = IMr ×Mt
Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems

7. System Model
- Specification and Asumption
Tf = frame duration and B= System Bandwidth
Assume Tf < Tc
MIMO channel can be decomposed using SVD method into M
parallel SISO channel.
Assume that at the transmitter side CSI is know via receiver
feedback channels.
W = HHH= Wishart channel matrix
The marginal probability distribution of a Wishart matrix is
used for deriving Sub channel gains.
The system capacity < Shannon capacity
Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems

8. Result Interpretation
Comparision of EEOPA and APA algorithm: Energy efficiency versus QoS
Figure : Graph of Energy efficiency versus QoS
Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems

9. Result Interpretation
Comparision of EEOPA and APA algorithm: Capacity versus QoS
Figure : Graph of Capacity versus QoS
Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems

10. Future Work
Key technologies combined with Massive MIMO-OFDM
System with acute estimation about CSI:
Device to device support
Heterogeneous networks
Base centric architecture for millimeter wave
Higher QoS provide on same cost as per provide in wireline
channel.
Massive MIMO System has more energy efficiency with
directive antennas.
Proposed the channel model which can achieve automatic
gain control and optimize system parameters like modulation
and channel estimation filters.
Radio frequency equipment cost should be lower
Improvement of 5G in excess of 4G is that it is Non- bulky in
space Coherent angle spread of the propagation.
Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems

11. Conclusion
An EEOPA algorithm is centered on the Channel
decomposition using SVD method to convert complex
multichannel optimization into a multi target single-channel
optimization.
Get a closed-form solution for MIMO-OFDM mobile
multimedia communication systems.
EEOPA algorithm deliver higher energy efficiency and effective
capacity compared to traditional APA algorithm
But, we have to compromise either by effective energy or QoS
Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems

12. Thank you
Devanshi, Rajvi and IET-Ahmedabad University MIMO-OFDM Mobile Multimedia Communication Systems