By Feng Li
Interference Cancellation utilizing Space-Time Processing and Precoding Design introduces unique layout the way to in attaining interference cancellation, low-complexity deciphering and entire variety for a sequence of multi-user platforms. In multi-user environments, co-channel interference will shrink the functionality of instant communications structures. during this booklet, we examine tips on how to layout powerful space-time codes and pre-coders to suppress the co-channel interference while a number of antennas can be found.
This e-book deals a necessary reference paintings for graduate scholars, educational researchers and engineers who're drawn to interference cancellation in instant communications. Rigorous functionality research and diverse simulation illustrations are integrated for every layout method.
Dr. Feng Li is a systematic researcher at Cornell University.
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Extra resources for Interference cancellation using space-time processing and precoding design
Full diversity. Therefore, we can achieve full diversity for both Users 1 and 2 which can also be confirmed by the simulations in the next section. Note that when we complete the detection of the symbols of User 2, we can remove the effects of User 2 using the detected symbols of User 2 and re-detect the symbols of User 1. Simulation results show that such an iteration improves the coding gain. Finally, a similar antenna selection method at the receiver results in a diversity of N M for a general case of N transmit and M receive antennas.
1 for the selected antennas. Now we will present our selection criterion. Note that by using the scheme proposed in Sect. 72), the term that determines diversity is i=1 j=1 |Φ( j, 1)| |λi, j | . For a given constellation, the unitary rotation matrix R is chosen optimally and is fixed. So we can always find φ1 = min∀d i ,d j |Φ(1, 1)|, i = j and 2 2 2 2 φ2 = min∀d i ,d j |Φ(2, 1)|, i = j. Now we define ϕ = i=1 j=1 |φ j | |λi, j | . Different choice of receive antennas will lead to different λi, j and thus different ϕ.
52 3 Interference Cancellation and Detection for More than Two Users Finally, we provide results for different number of users each with 4 transmit antennas and one receiver with 4 receive antennas in Fig. 7. We can see that although we can still achieve full diversity for each user, the coding gain for each user will be reduced significantly. In order to keep the coding gain on a satisfactory level, the number of transmit antennas and the number of receive antennas should be larger than the number of users as shown in the previous figures.