Name
Abstract | ||
|---|---|---|
For clustered wireless networks, the conventional dual-hop cooperation technique is inefficient since relays with imbalanced channels to the source and the destination may become the bottleneck of the overall transmission. In this paper, a novel cooperative framework called Three-Stage Relaying (TSR) scheme is proposed to address this problem. In TSR, relays are divided into two clusters/groups, and a virtual MIMO antenna array is formed by introducing the transmission between the two relay groups. This “relay-to-relay” communication enables transmissions over shorter distances, which naturally breaks the bottleneck emerging in the dualhop cooperation scheme. An optimization problem is formulated to deal with the relay selection for these two groups, aiming at maximizing the received SNR at the destination subject to the number of relays constraint. This problem turns out to be nontrivial due to the coupling of the relays between two groups. We tackle this challenging problem by decomposing it into two subproblem, one deals with the selection of transmitting relays, the other deals with the selection of receiving relays. We then propose two heuristic algorithms that achieve the tradeoff between the optimality of the solution and the computational complexity. Through extensive numerical simulations, we show the superiority of TSR over the dual-hop cooperation schemes in both the clustered and centered wireless networks in terms of symbol error rate and throughput. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TVT.2014.2342717 | Vehicular Technology, IEEE Transactions |
Keywords | Field | DocType |
optimization problem,heuristic algorithm,signal to noise ratio,mimo,computational complexity,wireless networks,spatial diversity,wireless sensor networks,algorithms,numerical simulation,optimization,transmission | Wireless network,Bottleneck,Multi-user MIMO,Computer science,Computer network,MIMO,Electronic engineering,Throughput,Wireless sensor network,Optimization problem,Relay | Journal |
Volume | Issue | ISSN |
PP | 99 | 0018-9545 |
Citations | PageRank | References |
4 | 0.38 | 34 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lingya Liu | 1 | 14 | 3.28 |
| Cunqing Hua | 2 | 273 | 29.95 |
| Cai-Lian Chen | 3 | 831 | 98.98 |
| Xinping Guan | 4 | 2791 | 253.38 |