Joint Transmission Strategy For Multi-Cell MIMO Systems

With the rapid development of wireless communication industry, the limited spectrum resources has been the the bottleneck of wireless communication industry, which seriously affects the development of wireless communication. In order to effectively solve this problem, the MIMO technology has been proposed for wireless communication, as the ability of frequerncy multiplexing to reduce the waste of spectrum resources.And more high-speed data transfer performance has obtained by the MIMO technology, beacuse of a plurality of separate transmission antennas transmit different data streams.Frequency multiplexing is not only an effective method to improve the spectrum utilization, but also makes the frequency multiplexing signal at the same frequency from different cells on each other to produce interference. In recent years, one of new approachs to solve the interference problem is interference alignment technique. Interference alignment technique aligne all the multiple interfering signals to the same interference subspace, thus greatly reducing the interference signal space latitude to improve the desired signal space available resources. At present, there are a variety of interference alignment algorithms, such as basic interference alignment algorithm, minimum mean square error algorithm, the maximum SINR algorithm.These algorithms do not have any algorithm can obtain the maximum transmission rate at each SNR. In order to get the maximum transfer rate at various SNR conditions for the system, a joint use of these algorithms to find a group to make the maximum transmission rate by a combination of brute-force algorithm is proposed in this paper.However, the complexity of the various algorithms can be used in conjunction with an increase in the number of algorithm speed growth, in order to reduce the joint transmission strategy algorithm complexity, we introduce the genetic algorithm(GA),and the combined joint transmission strategy proposed low complexity the degree of joint transmission strategy based on genetic algorithms. Through simulation, joint transmission strategy based on genetic algorithm can get better than a single algorithm system speed transfer rates, and is very close to the optimal joint transmission strategy using brute-force method obtained.