Next, the results of RSTBC for the massive SU-MIMO system follow in Subsection 5.2.
Simulation Results of RSTBC for Massive SU-MIMO System.
We note also that the BER curve (for each simulation parameter L, [LN.sub.t]) is slightly degraded compared to the corresponding case in the SU-MIMO system shown in Figure 7, as expected.
The distribution about the redundant time [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] in a TXOP duration when the transmission mode is SU-MIMO and frame number is m can be obtained in the following:
Then on the basis of Proposition 1, we can obtain the distribution of SU-MIMO throughput gains using the proposed enhanced NAV scheme as Proposition 2.
The distribution of the throughput gains using proposed enhanced NAV scheme can be obtained as follows when the transmission mode is SU-MIMO:
Furthermore, we can give the expectation of throughput gains in SU-MIMO mode as Corollary 1.
Similar to the SU-MIMO mode, we can also calculate the distribution of throughput gains using the proposed scheme in MU-MIMO mode as Proposition 4.
To overcome the disadvantages of SU-MIMO, there have been many studies of multi-user spatial multiplexing MIMO (MU-MIMO) transmissions .
In addition to the general CSMA/CA MAC features, the proposed protocol acts as a switching entity between MU-MIMO and multiple SU-MIMO (mSU-MIMO) transmissions, in which mSU-MIMO includes multiple point-to-point MIMO communications during a single transmission opportunity (i.e., one after another).
Section 2 presents background information about CSMA/CA, SU-MIMO, and MU-MIMO, and Section 3 then describes related research.
SU-MIMO is a point-to-point MIMO communication technique.