Distributed Compression for the Uplink of a Backhaul-Constrained Coordinated Cellular Network
| dc.creator | del Coso, Aitor | |
| dc.creator | Simoens, Sebastien | |
| dc.date | 2008-02-06 | |
| dc.date.accessioned | 2026-07-07T09:19:01Z | |
| dc.date.available | 2026-07-07T09:19:01Z | |
| dc.description | We consider a backhaul-constrained coordinated cellular network. That is, a single-frequency network with $N+1$ multi-antenna base stations (BSs) that cooperate in order to decode the users' data, and that are linked by means of a common lossless backhaul, of limited capacity $\mathrm{R}$. To implement receive cooperation, we propose distributed compression: $N$ BSs, upon receiving their signals, compress them using a multi-source lossy compression code. Then, they send the compressed vectors to a central BS, which performs users' decoding. Distributed Wyner-Ziv coding is proposed to be used, and is optimally designed in this work. The first part of the paper is devoted to a network with a unique multi-antenna user, that transmits a predefined Gaussian space-time codeword. For such a scenario, the compression codebooks at the BSs are optimized, considering the user's achievable rate as the performance metric. In particular, for $N = 1$ the optimum codebook distribution is derived in closed form, while for $N>1$ an iterative algorithm is devised. The second part of the contribution focusses on the multi-user scenario. For it, the achievable rate region is obtained by means of the optimum compression codebooks for sum-rate and weighted sum-rate, respectively. | |
| dc.description | 30 pages, 6 figures, Submitted to IEEE Trans on signal Processing | |
| dc.identifier | https://arxiv.org/abs/0802.0776 | |
| dc.identifier | http://arxiv.org/abs/0802.0776 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/154237 | |
| dc.subject | Information Theory | |
| dc.title | Distributed Compression for the Uplink of a Backhaul-Constrained Coordinated Cellular Network | |
| dc.type | text |