The interference alignment (IA) is a promising technique to efficiently mitigate interference and to enhance capacity of a wireless network. This paper proposes an interference alignment scheme for a cellular network with L cells and K users under a multiple-input multiple-output (MIMO) Gaussian interfering broadcast channel (IFBC) scenario. The proposed IA scheme aligns intercell interferences...

To reduce interference in MIMO channels effectively and to increase the capacity of a wireless communication network using Interference alignment process. This paper refers to an enhanced Interference Alignment Scheme for a Network of MIMO Users under AWGN Interference Broadcasting Channel So Called IFBC. The Proposed Scheme Is Nuclear Norm Heuristic (NNH) process for IA K user. The process of ...

Interference channels are useful analytical models for distributed wireless communication networks with multiple simultaneously transmitting users. The degrees-of-freedom optimal transmit strategy for interference channels is interference alignment, which requires substantial channel state knowledge throughout the network. As the network grows, the sum capacity, theoretically, increases linearl...

We explore degrees of freedom (DoF) characterizations of partially connected wireless networks, especially cellular networks, with no channel state information at the transmitters. Specifically, we introduce three fundamental elements — aligned frequency reuse, wireless index coding and interference diversity — through a series of examples, focusing first on infinite regular arrays, then on fin...

Recent investigations have shown sum capacity results within a constant bit-gap for several channel models, e.g. the two-user Gaussian interference channel (G-IC), k-user G-IC or the Gaussian X-channel. This has motivated investigations of interferencelimited multi-user channels, for example, the Gaussian interfering multiple access channel (G-IMAC). Networks with interference usually require t...