Jointly Optimized Software Radio for Low Power 4G Cellular Systems

Limited spectral bandwidth in evolved 4G cellular standards such as 3GPP long term evolution (LTE) increasingly requires wireless communication networks that can operate at or near optimal peak sum-rate capacity, autonomously adapt to avoid interference, and preserve low latency communication. The complexity of the MIMO parameter estimation, iterative decoding and demodulation, and interference mitigation for the spectrally efficient communication increasingly outstrip the Moore´s law capabilities of the underlying DSP technology. Our paper defines a new generation of software defined radio architecture solutions and introduces joint optimization of hardware, software, and algorithms for evolved low power 4G cellular systems.