Coordinated Multi-Point Transmissions Based on Interference Alignment and Neutralization
| Autor: | Jia Liu, Zhao Li, Kang G. Shin, Lu Zhen, Jie Chen, Sha Cui |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry Applied Mathematics Transmitter 020206 networking & telecommunications 02 engineering and technology Spectral efficiency Interference (wave propagation) Topology Upper and lower bounds Precoding Computer Science Applications Base station Single antenna interference cancellation Telecommunications link 0202 electrical engineering electronic engineering information engineering Overhead (computing) Wireless Electrical and Electronic Engineering business Interference alignment |
| Zdroj: | IEEE Transactions on Wireless Communications. 18:3347-3365 |
| ISSN: | 1558-2248 1536-1276 |
| Popis: | Both interference alignment (IA) and interference neutralization (IN) are exploited for coordinated multi-point (CoMP) communications. With the cooperation of the base station (BS), a transmit precoder and a receive filter are jointly designed, and concurrent transmissions of multiple data streams are then enabled. In the design of a precoder, the IN is applied to the interferences carrying the same data so as to align the interfering signals in the opposite direction in a subspace. On the other hand, for interferences carrying different information, IA is employed to align them in the same direction in a subspace, thus reducing the interference signal observed at the receiver side. Based on different precoding schemes at the transmitter’s side, receivers adopt zero forcing (ZF) so as to recover the desired data. The proposed IA- and IN-based CoMP (IAN-CoMP) mechanism can achieve effective interference cancellation and suppression by exploiting limited and flexible collaboration at the BS side. It can also make a flexible tradeoff between the cooperation overhead and the system’s achievable degrees of freedom (DoFs). We extend the mechanism to general cases where the antenna configurations at both the transmitter and receiver sides, the number of transmitters participating in CoMP, and that of simultaneously served users are variable. Moreover, we discuss both single-location and multi-location-based realizations of the IAN-CoMP. Finally, by defining the average transmit and receive cooperation order, we analyze the upper bound for IAN-CoMP. Our in-depth simulation shows that the IAN-CoMP can significantly improve the spectral efficiency (SE) for cell-edge users. |
| Databáze: | OpenAIRE |
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