Uplink macro diversity of limited backhaul cellular network
IEEE Transactions on Information Theory
Lattice codes can achieve capacity on the AWGN channel
IEEE Transactions on Information Theory
Nested linear/lattice codes for structured multiterminal binning
IEEE Transactions on Information Theory
Achieving 1/2 log (1+SNR) on the AWGN channel with lattice encoding and decoding
IEEE Transactions on Information Theory
Computation Over Multiple-Access Channels
IEEE Transactions on Information Theory
Sum Rate Characterization of Joint Multiple Cell-Site Processing
IEEE Transactions on Information Theory
On the Role of Estimate-and-Forward With Time Sharing in Cooperative Communication
IEEE Transactions on Information Theory
Multi-cell MIMO cooperative networks: a new look at interference
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
| Hi-index | 0.00 |
In this paper, we demonstrate the advantage of the inherent algebraic structure of lattice codes, for the uplink channel of a cellular deployment. The out-of-cell interference is assumed to be symmetric, as in Wyner's model. We employ a new relaying technique, compute-and-forward, which allows cell-sites to decode equations of the transmitted bits by exploiting the channel interference. However, the standard compute-and-forward technique is penalized whenever the channel coefficients are non-integer. We develop a superposition strategy to mitigate this penalty. By using part of the power towards a private message, we can effectively modify the channel seen by compute-and-forward. We demonstrate that, in certain regimes, this mixed strategy significantly outperforms decode-and-forward, compress-and-forward, and ordinary compute-and-forward.