Abstract
Multiple transmit and receive antennas can be used to increase the number of independent streams between a transmitter–receiver pair, and/or to improve the interference resilience with the help of linear minimum mean squared error (MMSE) receivers. Typically, rank adaptation algorithms aim at balancing the tradeoff between increasing the spatial multiplexing gain through independent streams, and improving the interference resilience property. An interference aware inter-cell rank coordination framework for the future fifth generation wireless system is proposed in this paper. The proposal utilizes results from random matrix theory to estimate the mean signal-to-interference-plus-noise ratio at the MMSE receiver. In addition, a game-theoretic interference pricing measure is introduced as an inter-cell interference management mechanism to balance the spatial multiplexing versus interference resilience tradeoff. Centralized and distributed implementations of the proposed inter-cell rank coordination framework are presented, followed by exhaustive Monte Carlo simulation results demonstrating its performance. The obtained results indicate that the performance of the proposed method is up to 56% better than conventional non interference-aware schemes; and within 6% of the optimum performance obtained using a brute-force exhaustive search algorithm though it incurs much lower computational complexity.
Highlights
The first half of this decade saw the emergence of the fifth generation cellular technology (5G) as a concept
Demand for radically higher data rates, increased reliability and improved energy efficiency drives the 5G standard to adopt a number of novel technologies, primarily through a combination of gains in three frontiers: moving to higher frequencies, cell densification, and harnessing multiple input multiple output (MIMO) capabilities [1]
Early 5G systems will most likely enhance the spectral efficiency through small cell and MIMO since operation in higher frequencies like the millimeter wave spectrum is yet to mature for commercial applications [2]
Summary
The first half of this decade saw the emergence of the fifth generation cellular technology (5G) as a concept. Low complexity joint precoding matrix and rank selection algorithms based on average channel information across the entire system bandwidth are proposed for the LTE-A system in [13] and [14]. Most existing rank adaptation algorithms aim at maximizing different performance criteria at the receiver of interest without considering the interference management aspect of rank coordination. As such, they can are egoistic rather than being altruistic or interference-aware. The proposed rank coordination mechanism utilizes the game-theoretic concept of ‘pricing’ to balance between the spatial multiplexing gain-vs.-interference rejection capabilities. Interference suppression capability at the MMSE receiver is considered in the multi-cell rank coordination problem formulation;.
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