A recent result for the general interference channel is presented. The encoding technique is a generalization of the technique employed by Han and Kobayashi. Coupled with an improvement in the computation of the error probabilities, fewer constraints are necessary to define the achievable rate region. We further compare the two achievable rate regions and discuss whether the two achievable rate...

With emerging applications, e.g., factory automation, autonomous driving and augmented/virtual reality, there have been increasing technical challenges regarding reliability, latency data rates for existing communication systems. Owing to abundant available bandwidth, millimeter Wave (mmWave) communications can potentially provide reliable with the order of magnitude capacity improvement relati...

Large intelligent surfaces (LIS) present a promising new technology for enhancing the performance of wireless communication systems. Realizing gains LIS requires accurate channel knowledge, and in practice estimation overhead can be large due to passive nature LIS. Here, we study achievable rate LIS-assisted single-input single-output system, accounting pilot least-squares estimator. We demonst...

The achievable rate of an opportunistic nonorthogonal multiple access (O-NOMA) based cooperative relaying system (CRS) with channel state information (CSI) available at the transmitter end is analyzed under Rician fading channels. O-NOMA-based CRS achieves better achievable rate than CNOMA-based CRS and results are verified through Monte Carlo simulations. Keywords—Non-orthogonal Multiple Acces...

Abstruct-A new achievable rate region for the general interference channel which extends previous results is presented and evaluated. Tbe technique used is a generalization of superposition coding to the multivariable case. A detailed computation for tbe Gaussian cbaunel case clarifies to wbat extent the new region improves previous ones. The capacity of a class of Gaussian interference channel...

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A fiber optic channel is modeled in a variety of ways; from the simple additive white complex Gaussian noise model, to models that incorporate memory in the channel. Because of Kerr nonlinearity, a simple model is not a good approximation to an optical fiber. Hence we study a fiber optic channel with finite memory and provide an achievable bound on channel capacity that improves upon a previous...