| Title | A centralized inter-cell rank coordination mechanism for 5G systems |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Mahmood, N. H., Pedersen, K. I., Mogensen, P. |
| Conference Name | 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC) |
| Keywords | 5G, 5G mobile communication, 5G systems, antenna arrays, brute-force exhaustive search algorithm, centralized intercell rank coordination mechanism, Computing Theory, conventional non interference-aware schemes, Estimation, future fifth generation wireless system, game theory, game-theoretic interference pricing measure, intercell interference management mechanism, Interference, interference aware intercell rank coordination framework, interference pricing, interference resilience property, interference resilience trade-off, least mean squares methods, linear minimum mean squared error receivers, matrix algebra, mean signal-to-interference-plus-noise ratio, MIMO, MMSE receiver, MMSE receivers, Monte Carlo methods, Monte Carlo simulations, multiple receive antennas, multiple transmit antennas, Pricing, pubcrawl, radio receivers, radiofrequency interference, random matrix theory, rank adaptation, Receivers, receiving antennas, resilience, search problems, Signal to noise ratio, space division multiplexing, spatial multiplexing, Throughput, transmitter-receiver pair, Transmitters, transmitting antennas |
| Abstract | Multiple transmit and receive antennas can be used to increase the number of independent streams between a transmitter-receiver pair, or to improve the interference resilience property with the help of linear minimum mean squared error (MMSE) receivers. An interference aware inter-cell rank coordination framework for the future fifth generation wireless system is proposed in this article. 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 vs. interference resilience trade-off. Exhaustive Monte Carlo simulations results demonstrating the performance of the proposed algorithm indicate a gain of around 40% over conventional non interference-aware schemes; and within around 6% of the optimum performance obtained using a brute-force exhaustive search algorithm. |
| DOI | 10.1109/IWCMC.2017.7986582 |
| Citation Key | mahmood_centralized_2017 |
A centralized inter-cell rank coordination mechanism for 5G systems