Abstract:Interference is usually viewed as an obstacle to communication in wireless networks, so we developed a new methodology to quantize the channel coefficients in order to realize interference alignment onto a lattice. Our channel model is the same from the compute-and-forward strategy. In this work, we are going to explicit one example of channel quantization, which is related to the dimension 4 (real) or 2 (complex), and we will make use of the binary cyclotomic field Q(ξ8), where ξ8 is the 8-th root of unity.
“…In [17], for the two-complex dimensional case and L = 2, we have the corresponding complex-valued channel quantization and the construction of complex nested ideal lattices from such a channel quantization. By (40) the functional related to such a minimization is given by…”
Section: Minimum Mean Square Error Criterion For the Two-complex Dimementioning
In this work we develop a new algebraic methodology which quantizes real-valued channels in order to realize interference alignment (IA) onto a real ideal lattice. Also we make use of the minimum mean square error (MMSE) criterion to estimate real-valued channels contaminated by additive Gaussian noise.
“…In [17], for the two-complex dimensional case and L = 2, we have the corresponding complex-valued channel quantization and the construction of complex nested ideal lattices from such a channel quantization. By (40) the functional related to such a minimization is given by…”
Section: Minimum Mean Square Error Criterion For the Two-complex Dimementioning
In this work we develop a new algebraic methodology which quantizes real-valued channels in order to realize interference alignment (IA) onto a real ideal lattice. Also we make use of the minimum mean square error (MMSE) criterion to estimate real-valued channels contaminated by additive Gaussian noise.
“…In [9] and [10] we have two examples of channel quantization. For the corresponding quantizations, we make use of the binary cyclotomic fields Q(ξ 8 ) and Q(ξ 16 ), respectively.…”
Section: Construction Of Complex Nested Lattices From the Binarymentioning
confidence: 99%
“…In [9] and [10] we have that the lattice partition chains related to r = 3 (n = 2) and r = 4 (n = 4) are given by…”
Section: Construction Of Complex Nested Ideal Lattices From the Channmentioning
confidence: 99%
“…In [9], for the two-complex dimensional case and L = 2, we have the corresponding complex-valued channel quantization and the construction of complex nested ideal lattices from such a channel quantization. By (5.5) the functional related to such a minimization is given by…”
Section: Minimum Mean Square Error Criterion For the Two-complex Dimementioning
In this work we develop a new algebraic methodology which quantizes complex-valued channels in order to realize interference alignment (IA) onto a complex ideal lattice. Also we make use of the minimum mean square error (MMSE) criterion to estimate complex-valued channels contaminated by additive Gaussian noise.
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