Abstract:The study of optical orthogonal codes has been motivated by an application in an optical code‐division multiple access system. From a practical point of view, compared to one‐dimensional optical orthogonal codes, two‐dimensional optical orthogonal codes tend to require smaller code length. On the other hand, in some circumstances only with good cross‐correlation one can deal with both synchronization and user identification. These motivate the study of two‐dimensional optical orthogonal codes with better cross… Show more
“…However, there are few results on optimal 2-D (n × m, k, 2, 1)-OOCs when n = 1 in the literature. The only known results for k = 3 is from [17,40], which determined the size of an optimal 2-D (n × m, 3, 2, 1)-OOCs with m ≡ 2 (mod 4). This paper continues the work in [17], and we are concerned about optimal 2-D (n × m, 3, 2, 1)-OOCs with m ≡ 0 (mod 4).…”
This paper focuses on constructions for optimal 2-D (n × m, 3, 2, 1)-optical orthogonal codes with m ≡ 0 (mod 4). An upper bound on the size of such codes is established. It relies heavily on the size of optimal equi-difference 1-D (m, 3, 2, 1)-optical orthogonal codes, which is closely related to optimal equi-difference conflict avoiding codes with weight 3. The exact number of codewords of an optimal 2-D (n × m, 3, 2, 1)optical orthogonal code is determined for n = 1, 2, m ≡ 0 (mod 4), and n ≡ 0 (mod 3), m ≡ 8 (mod 16) or m ≡ 32 (mod 64) or m ≡ 4, 20 (mod 48).
“…However, there are few results on optimal 2-D (n × m, k, 2, 1)-OOCs when n = 1 in the literature. The only known results for k = 3 is from [17,40], which determined the size of an optimal 2-D (n × m, 3, 2, 1)-OOCs with m ≡ 2 (mod 4). This paper continues the work in [17], and we are concerned about optimal 2-D (n × m, 3, 2, 1)-OOCs with m ≡ 0 (mod 4).…”
This paper focuses on constructions for optimal 2-D (n × m, 3, 2, 1)-optical orthogonal codes with m ≡ 0 (mod 4). An upper bound on the size of such codes is established. It relies heavily on the size of optimal equi-difference 1-D (m, 3, 2, 1)-optical orthogonal codes, which is closely related to optimal equi-difference conflict avoiding codes with weight 3. The exact number of codewords of an optimal 2-D (n × m, 3, 2, 1)optical orthogonal code is determined for n = 1, 2, m ≡ 0 (mod 4), and n ≡ 0 (mod 3), m ≡ 8 (mod 16) or m ≡ 32 (mod 64) or m ≡ 4, 20 (mod 48).
“…When n = 1, there are few results on optimal 2-D (n × m, k, 2, 1)-OOCs in the literature. For k = 3, the size of an optimal 2-D (n × m, 3, 2, 1)-OOC with m ≡ 2 (mod 4) was determined thoroughly in [18,40]. Recently, several optimal 2-D (n × m, 3, 2, 1)-OOCs with m ≡ 0 (mod 4) were constructed (see Theorem 2 of [19]).…”
In this paper, we are concerned about bounds and constructions of optimal 2-D (n × m, 3, 2, 1)-optical orthogonal codes. The exact number of codewords of an optimal 2-D (n × m, 3, 2, 1)-optical orthogonal code is determined for n = 2, m ≡ 1 (mod 2), and n ≡ 1 (mod 2), m ≡ 1, 3, 5 (mod 12), and n ≡ 4 (mod 6), m ≡ 8 (mod 16).
“…We remark that deterministic MAC protocols can also be referred to in the literature as conflict-avoiding codes (CACs) [21,22,23,24,25], optical orthogonal codes (OOCs) [26,27,28], or topological transparent scheduling [29,30,31,32] with different design goals. In particular, UI sequences aim to minimize the sequence period by assuming all users are active, whereas CACs aim to maximize the number of potential users when the sequence period and the number of maximum active users are both given.…”
Protocol sequences are binary and periodic sequences used for deterministic multiple access in a collision channel without feedback. In this paper, we focus on user-irrepressible (UI) protocol sequences that can guarantee a positive individual throughput per sequence period with probability one for a slot-synchronous channel, regardless of the delay offsets among the users. As the sequence period has a fundamental impact on the worst-case channel access delay, a common objective of designing UI sequences is to make the sequence period as short as possible. Consider a communication channel that is shared by M active users, and assume that each protocol sequence has a constant Hamming weight w. To attain a better delay performance than previously known UI sequences, this paper presents a CRTm construction of UI sequences with w = M + 1, which is a variation of the previously known CRT construction. For all non-prime M ≥ 8, our construction produces the shortest known sequence period and the shortest known worst-case delay of UI
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