1 research outputs found
Interference Alignment with Partially Coordinated Transmit Precoding
In this paper, we introduce an efficient interference alignment (IA)
algorithm exploiting partially coordinated transmit precoding to improve the
number of concurrent interference-free transmissions, i.e., the multiplexing
gain, in multicell downlink. The proposed coordination model is such that each
base-station simultaneously transmits to two users and each user is served by
two base-stations. First, we show in a K-user system operating at the
information theoretic upper bound of degrees of freedom (DOF), the generic IA
is proper when , whereas the proposed partially coordinated IA is
proper when . Then, we derive a non-iterative, i.e., one shot, IA
algorithm for the proposed scheme when . We show that for a given
latency, the backhaul data rate requirement of the proposed method grows
linearly with K. Monte-Carlo simulation results show that the proposed one-shot
algorithm offers higher system throughput than the iterative IA at practical
SNR levels.Comment: 19 pages, 8 figure