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L.: Cognitive interference alignment for OFDM two-tiered networks
- In: IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC
, 2012
"... In this contribution, we introduce an interference align-ment scheme that allows the coexistence of an orthogonal frequency division multiplexing (OFDM) macro-cell and a cognitive small-cell, deployed in a two-tiered structure and transmitting over the same bandwidth. We derive the opti-mal linear s ..."
Abstract
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Cited by 3 (2 self)
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In this contribution, we introduce an interference align-ment scheme that allows the coexistence of an orthogonal frequency division multiplexing (OFDM) macro-cell and a cognitive small-cell, deployed in a two-tiered structure and transmitting over the same bandwidth. We derive the opti-mal linear strategy for the single antenna secondary base sta-tion, maximizing the spectral efficiency of the opportunistic link, accounting for both signal sub-space structure and power loading strategy. Our analytical and numerical findings prove that the precoder structure proposed is optimal for the consid-ered scenario in the face of Rayleigh and exponential decay-ing channels. 1.
Spatial Sensing and Cognitive Radio Communication in the Presence of A K-User Interference Primary Network
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Improving Macrocell- Small Cell Coexistence through Adaptive Interference Draining
"... Abstract—The deployment of underlay small base sta-tions (SBSs) is expected to significantly boost the spectrum efficiency and the coverage of next-generation cellular networks. However, the coexistence of SBSs underlaid to a macro-cellular network faces important challenges, notably in terms of spe ..."
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Abstract—The deployment of underlay small base sta-tions (SBSs) is expected to significantly boost the spectrum efficiency and the coverage of next-generation cellular networks. However, the coexistence of SBSs underlaid to a macro-cellular network faces important challenges, notably in terms of spec-trum sharing and interference management. In this paper, we propose a novel game-theoretic model that enables the SBSs to optimize their transmission rates by making decisions on the resource occupation jointly in the frequency and spatial domains. This procedure, known as interference draining, is performed among cooperative SBSs and allows to drastically reduce the interference experienced by both macro- and small cell users. At the macrocell side, we consider a modified water-filling policy for the power allocation that allows each macrocell user (MUE) to focus the transmissions on the degrees of freedom over which the MUE experiences the best channel and interfer-ence conditions. This approach not only represents an effective way to decrease the received interference at the MUEs but also grants the SBS tier additional transmission opportunities and allows for a more agile interference management. Simulation results show that the proposed approach yields significant gains at both macrocell and small cell tiers, in terms of average achievable rate per user, reaching up to 37%, relative to the non-cooperative case, for a network with 150 MUEs and 200 SBSs. I.