Even-Integer Interference Precoding for Broadcast Channels
نویسندگان
چکیده
In this paper, an improved precoding strategy for broadcast channels, i.e., the transmission from one central transmitter (e.g., base station) to a number of distributed receivers (e.g., mobile terminals), is presented. The new scheme is a generalization of Tomlinson-Harashima precoding applied to multiple-input/multiple-output (MIMO) channels and a translation of concepts from lattice-reduction-aided detection in MIMO communication systems to the broadcast scenario. The main idea is not to suppress the multi-user interference completely, but to shape them to values which solely contribute to the anyway present periodic extension of the signal set. Although the method is generally applicable, we concentrate on situations with 2 users and binary signaling per real dimension. Here, the interferences are allowed to be taken from the even integers, hence we call the new scheme “even-integer interference precoding”. Simulation results show that using the proposed technique, a considerable degree of diversity can be gained over linear preequalization, as well as conventional precoding.
منابع مشابه
Sum Capacity of a Gaussian Vector Broadcast Channel
This paper characterizes the sum capacity of a class of non-degraded Gaussian vector broadcast channels where a single transmitter with multiple transmit terminals sends independent information to multiple receivers. Coordination is allowed among the transmit terminals, but not among the different receivers. The sum capacity is shown to be a saddlepoint of a Gaussian mutual information game, wh...
متن کاملOptimal Power Allocation with Channel Inversion Regularization-Based Precoding for MIMO Broadcast Channels
Zero-forcing (ZF) precoding scheme can achieve the asymptotic sum capacity as dirty-paper coding (DPC) in multiple-input multiple-output broadcast (MIMO-BC) channel when the number of users, K , approaches infinity. However, the gap between ZF and DPC is not negligible in a practical range of K , that is, K ≤ 100. The capacity loss is partly due to the excessive transmission power penalty incur...
متن کاملLattice-Reduction-Aided Precoding for Coded Modulation over Algebraic Signal Constellations
Lattice-reduction-aided preequalization or precoding are powerful techniques for handling the interference on the multi-user MIMO broadcast channel as the channel’s diversity order can be achieved. However, recent advantages in the closely related field of integer-forcing equalization raise the question, if the unimodularity constraint on the integer equalization matrix in LRA schemes is really...
متن کاملNovel Efficient Precoding Techniques for Multiuser MIMO Systems
In Multiuser MIMO (MU-MIMO) systems, precoding is essential to eliminate or minimize the multiuser interference (MUI). However, the design of a suitable precoding algorithm with good overall performance and low computational complexity at the same time is quite challenging, especially with the increase of system dimensions. In this thesis, we explore the art of novel low-complexity high-perform...
متن کاملSymbol-Level Precoding Design for Max-Min SINR in Multiuser MISO Broadcast Channels
In this paper, we address the symbol level precoding (SLP) design problem under max-min SINR criterion in the downlink of multiuser multiple-input single-output (MISO) channels. First, we show that the distance preserving constructive interference regions (DPCIR) are always polyhedral angles (shifted pointed cones) for any given constellation point with unbounded decision region. Then we prove ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004