Abstract
Massive MIMO or Large Scale MIMO is a promising solution for achieving superior data rates in 5G communication systems. However, it has limitation in term of scalability and coverage for users that has highly spatial separation. Distributed massive MIMO is expected to enhance these drawbacks. One main problem arises in this scheme is the MIMO interference channel condition that can be copied by interference alignment algorithm. The main consideration for interference alignment algorithm in distributed Massive MIMO is to achieve low complexity precoding to eliminate interference channel condition and to design efficient hardware architecture for its implementation. Previous research regarding IA for Distributed Massive MIMO indicate that the complexity issues is still not widely discussed. This paper proposed the low complexity IA scheme for large scale MIMO system based on limited interferer and the implementation of low cost interference alignment and wireless synchronization for distributed MIMO using software defined radio hardware. From the simulation result, it shows that limited interferer IA algorithm achieve acceptable BER performance, i.e. in order of 10-3. The hardware implementation of the IA precoding matrix computation is also discussed. Based on the experiment, it is show that the proposed algorithm and architecture achieved higher hardware performance compared to the linear IA.
Highlights
Delivering superior data rates without scarifying the quality of service is the key task for the wireless communication business
After synchronization process takes place, the transmitters carry out proposed limited interferer based Interference Alignment (IA) algorithms, so that the transmitted signal can be retrieved without error due to interference in the desired receiver
We present the limited interferer based Interference Alignment algorithm and its precoding matrix system architecture and implementation for large scale distributed MIMO
Summary
Delivering superior data rates without scarifying the quality of service is the key task for the wireless communication business. Massive MIMO has limitation in term of scalability and spatial diversity or coverage for highly spread user. To enhance these drawbacks, distributed Massive MIMO possibly will be a supreme way out. There are two main key consideration required for Distributed Massive MIMO with Interference Alignment (IA) realization, i.e. how to provide low complexity precoding to cope interference channel condition and to design accurate synchronization to enable coherent transmission. This paper will propose the low complexity IA scheme for large scale MIMO system based on limited interferer. The implementation of low cost interference alignment for distributed massive MIMO using Xilinx ISE Design platform is discussed
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