Cognitive Wyner Networks With Clustered Decoding

Abstract

We study an interference network where equally-numbered transmitters and receivers lie on two parallel lines, each transmitter opposite its intended receiver. We consider two short-range interference models: the "asymmetric network," where the signal sent by each transmitter is interfered only by the signal sent by its left neighbor (if present), and a "symmetric network," where it is interefered by both its left and its right neighbors. Each transmitter is cognizant of its own message, the messages of the t ℓ transmitters to its left, and the messages of the t r transmitters to its right. Each receiver decodes its message based on the signals received at its own antenna, at the r ℓ receive antennas to its left, and the r r receive antennas to its right.For such networks we provide upper and lower bounds on the multiplexing gain, i.e., on the high-SNR asymptotic logarithmic growth of the sum-rate capacity. In some cases our bounds meet, e.g., for the asymmetric network.Our results exhibit an equivalence between the transmitter side-information parameters t ℓ , t r and the receiver side-information parameters r ℓ , r r in the sense that increasing/decreasing t ℓ or t r by a positive integer δ has the same effect on the prelog as increasing/decreasing r ℓ or r r by δ. Moreover-even in asymmetric networks-there is an equivalence between the left side-information parameters t ℓ , r ℓ and the right side-information parameters t r , r r .

Conferencing in Wyner's asymmetric interference network: Effect of number of rounds

“…Let us also suppose that the genie provides to each receiver the exact channel outputs at the κ Rx receivers on its left and right; that is, receiver k is given (Y Lapidoth et al [31,Cor. 2] established that the per-user MG of this genie-aided problem is given by (2κ Tx + 2κ Rx + 1)/(2κ Tx + 2κ Rx + 2).…”

“…In interference networks, both transmitter cooperation and receiver cooperation allow to mitigate interference [12], [13], [19]- [22], [25], [26], [31]. Recently, Ntranos, Maddah-Ali, and Caire [22] proposed the following cooperation protocol for interference mitigation in large Gaussian networks: transmitters share quantised versions of their transmit signals and receivers share parts of their decoded messages.…”

Topological Interference Management With Decoded Message Passing

“…Cooperative decoding at the base stations in the uplink cellular networks was widely studied (e.g., [18], [19]), where the received signals are shared among base stations via backhaul links so that joint signal processing is enabled. Nevertheless, joint signal processing and decoding results in huge amount of backhaul overhead, even if the quantized received signal samples are shared locally in a clustered decoding fashion [19].…”

“…Nevertheless, joint signal processing and decoding results in huge amount of backhaul overhead, even if the quantized received signal samples are shared locally in a clustered decoding fashion [19]. Most recently, a new type of local base station cooperation framework in uplink cellular networks was studied in [20] to boost the overall network performance.…”

Topological interference management with decoded message passing

“…Cooperative decoding at the base stations in the uplink cellular networks was widely studied (e.g., [18], [19]), where the received signals are shared among base stations via backhaul links so that joint signal processing is enabled. Nevertheless, joint signal processing and decoding results in huge amount of backhaul overhead, even if the quantized received signal samples are shared locally in a clustered decoding fashion [19]. Most recently, a new type of local base station cooperation framework in uplink cellular networks was studied in [20] to boost the overall network performance.…”