Communication strategies for the MIMO interference channel

wireless networks;interference channels;iterative algorithms;throughput

Wilson, Craig ; Veeravalli ; Venugopal V.

关键词: wireless networks;    interference channels;    iterative algorithms;    throughput;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/29794/wilson_craig.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

Managing interference for wireless networks is crucial for meeting future demandfor higher mobile data rates. Interference can be viewed through theinterference channel (IC) in which pairs of transmitters and receivers interferewith each other, so an interesting way to manage interference is todevelop communication strategies for the IC. We consider the problem ofdesigning signals to transmit over the multiple input and multiple output(MIMO) interference channel by extending the Max SINR algorithm. TheMax SINR algorithm starts with arbitrary beamformers and then designsoptimal receivers to maximize the SINR at each receiver. The Max SINRalgorithm then alternates the direction of communication and repeats thisprocess. This algorithm is known to perform well, but there is no proof thatit converges. We propose a modification to Max SINR using a power controlstep to make a metric similar to sum rate converge. With successiveinterference cancellation (SIC), then the new metric is exactly the sum rate.Finally, simulations show that the performance of the modified Max SINRalgorithm, unlike other convergent alternatives, is nearly identical to that ofthe original Max SINR algorithm.